US20080277486A1 - HVAC control system and method - Google Patents

HVAC control system and method Download PDF

Info

Publication number
US20080277486A1
US20080277486A1 US11801143 US80114307A US2008277486A1 US 20080277486 A1 US20080277486 A1 US 20080277486A1 US 11801143 US11801143 US 11801143 US 80114307 A US80114307 A US 80114307A US 2008277486 A1 US2008277486 A1 US 2008277486A1
Authority
US
Grant status
Application
Patent type
Prior art keywords
zone
building
control
system
hvac
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US11801143
Inventor
John E. Seem
Anderlyne M. Canada
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Johnson Controls Technology Co
Original Assignee
Johnson Controls Technology Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/12Network-specific arrangements or communication protocols supporting networked applications adapted for proprietary or special purpose networking environments, e.g. medical networks, sensor networks, networks in a car or remote metering networks
    • H04L67/125Network-specific arrangements or communication protocols supporting networked applications adapted for proprietary or special purpose networking environments, e.g. medical networks, sensor networks, networks in a car or remote metering networks involving the control of end-device applications over a network
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D23/00Control of temperature
    • G05D23/19Control of temperature characterised by the use of electric means
    • G05D23/1902Control of temperature characterised by the use of electric means characterised by the use of a variable reference value
    • G05D23/1905Control of temperature characterised by the use of electric means characterised by the use of a variable reference value associated with tele control
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/12Network-specific arrangements or communication protocols supporting networked applications adapted for proprietary or special purpose networking environments, e.g. medical networks, sensor networks, networks in a car or remote metering networks
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00Control inputs relating to users or occupants
    • F24F2120/10Occupancy

Abstract

An HVAC control system configured to control the environment of a building zone includes a means for determining a number of people occupying the building zone and a means for determining properties of other heat transferring objects located within the building zone. The HVAC control system may also include a controller, the controller being configured to compute a projected heat gain in a building zone based on the determined number of people occupying the building zone and the determined properties of the other heat transferring objects located within the building zone. The controller may use the computed projected heat gain to determine a zone ventilation setpoint for the building zone.

Description

    BACKGROUND
  • [0001]
    The present application relates generally to the field of heating, ventilation, and air conditioning systems. More specifically, the present application relates to control systems and methods for heating, ventilation, and air conditioning systems.
  • [0002]
    Building services systems are often employed in office buildings, schools, manufacturing facilities, and the like, for controlling the internal environment of the facility. Building services systems may be employed to control temperature, air flow, humidity, lighting, energy, boilers, chillers, power, security, fluid flow, and similar building systems relating to the environment of the building. Some building services systems are specifically heating, ventilation, and/or air conditioning (“HVAC”) systems. HVAC systems commonly seek to provide thermal comfort, acceptable air quality, ventilation, and controlled pressure relationships to building zones. HVAC systems typically include an HVAC control system and one or more ventilation devices such as air handling units, variable air volume boxes.
  • [0003]
    An air handling unit is a device typically at the root of commercial, industrial, and institutional HVAC systems. Air handling units typically include a blower, one or more heating and/or cooling elements, air filters, sound attenuators, and dampers. Air handling units typically connect to ductwork that distributes or supplies air throughout the building and returns the air back to the air handling unit. An air handling unit may be entirely enclosed by a single housing or frame, or it may be located in a dispersed fashion include a variety of components in contact with airflow. For example, an air handling unit may be considered a primary unit having a blower as well as a remote unit including a zone air handling unit and the unit's accompanying circuitry (e.g., fan, flow sensor, etc.). Air handling units may use one hundred percent outside air, one hundred percent recirculated air, or some mix of outside air and recirculated air. The blower of an air handling unit may operate at a single speed or operate at a variety of speeds to allow or control a variety of air flow rates. If an air handling unit is used to supply heat, the air handler may contain or be used with a fuel-burning heater, electrical heater, coils that are heated using circulated water or steam with the heat provided by a boiler, or any other heat creating apparatus. If an air handling unit is used for cooling, the unit may contain or be used with a refrigeration evaporator, water evaporator, coils cooled by chilled water provided by a chiller, or any other air cooling apparatus. Air handling units may include a variety of structures that may be used to filter the air, including pleated media, electrostatic filters, high efficiency particulate air filters, gas-phase units, ultraviolet air treatment units, or any other air filtering structure. Humidification of the air may be provided via the air handling unit and/or coupled humidifier units.
  • [0004]
    HVAC systems using air handling devices may also include any number of additional devices to supply controlled air flows to a building or building zone. While air flow may be varied using a single air handling unit capable of being controllably operated at variable speeds, variable air volume terminal units (i.e., variable air volume boxes, variable air volume units, etc.) are often used to control air flow rate at a building zone or building room level. Variable air volume units are typically connected to central HVAC control systems and/or local HVAC control systems. In many HVAC systems, the air flow rate is varied not only to control the distribution of air, but also to control temperature. For example, some systems use supply air of a relatively constant temperature, or cooled to a relatively constant temperature, (e.g., 50-60 degrees, etc.) and modify air flow rates provided to building zones to meet desired temperature setpoints. Variable air volume units may include a damper for regulating the amount of air flow provided to the building zone the variable air volume serves. A variable air volume unit damper may be coupled to an actuator which may position the damper so that appropriate air flow is provided to the building zone.
  • [0005]
    In modem systems, an HVAC control system may provide a variety of inputs to and accept a variety of outputs from variable air volume unit components (e.g., dampers, actuators, local VAV control circuits, flow sensors, temperature sensors, etc.). Using these inputs and outputs, an HVAC control system may control the heating, ventilation, and air conditioning provided to specific building zones. For example, an HVAC control system may receive inputs from sensors related to an air flow rate and temperature of a building zone and use a damper and its accompanying actuator to appropriately position the damper such that a desired air flow rate is provided to the building zone.
  • [0006]
    Typical HVAC control systems use a plurality of sensors to monitor HVAC variables to be controlled, such as temperature, humidity, or air flow rate. An HVAC control system may typically regulate these controlled variables by considering a feedback signal generated by a sensor disposed to monitor the controlled variable. For example, an HVAC control system may allow or generate more air flow into a building zone based on a sensed temperature level. If a sensed temperature level is at 85 degrees Fahrenheit, the HVAC control system may allow or generate more supply air flow into a building to reach a desired lower temperature target or setpoint. If a temperature setpoint is 72 degrees Fahrenheit, for example, the HVAC control system may determine that supply air flow rate should be near maximum to rapidly make up the thirteen degree difference. In a feedback-based system, the resulting changed temperature is periodically looped back into the HVAC control system via inputs from temperature sensors, and further adjustments may be made based on the changed data. This sort of process may be looped or repeated in a near infinite manner whereby the HVAC control system may constantly be adjusting variables of operation based on feedback from sensors.
  • [0007]
    HVAC systems have conventionally been primarily feedback-based systems. The majority of the HVAC setpoints are often rather static, often set manually, and typical HVAC control systems use feedback loops to maintain building zone variables such as temperature near the static setpoints of the system. These typical HVAC control systems may suffer from a number of challenges and lead to a number of building management issues such as inefficient HVAC operation, uncomfortable building zones, higher maintenance or operation costs, and shorter equipment lifespans. For example, some typical feedback-dominated systems may suffer from a condition known as “hunting” wherein an HVAC system may oscillate an output around a setpoint. This oscillation may happen when, for example, a number of people enter a building zone and have been in the room long enough to heat the room above the setpoint temperature range. In a feedback-dominated HVAC system, the HVAC controller will not command additional air flow to the building zone until the people have already heated the room beyond a certain setpoint range. Once the HVAC system senses this temperature change, it may begin providing a greater cool air flow rate to the building zone than the system was previously providing. In some cases, if the building zone has heated relatively rapidly from the people, equipment, and lighting of the zone, the HVAC system may have to substantially increase the air flow rate. It is undesirable to substantially increase air flow rate and/or otherwise attempt to substantially change temperature of a building zone because these substantial changes may result in “overshoots” wherein the HVAC system misses a setpoint target and cools or heats the building zone too much, for example. When an overshoot occurs, an HVAC system may attempt to correct for the overshoot, which may result in a repeat effect, causing the condition of hunting or oscillation. During this process, the system may expend more energy than is desirable and may result in periods of discomfort for room occupants.
  • [0008]
    In addition to temperature control, HVAC control systems are used for building ventilation. Ventilation may be described as the movement of air to the inside of a building from the outside of a building. Ventilation air is important for providing acceptable indoor air quality to people. Ventilation air may dilute and/or remove airborne pollutants such as volatile organic compounds (VOCs) and respirable suspended particles (RSPs). The rate of ventilation air required is often expressed by volumetric flow rate of supply air (e.g., outside air) being introduced into a building zone.
  • [0009]
    It would be desirable to provide an HVAC control system and method that takes into account heat gains from people and/or electrical equipment. It would further be desirable to improve air quality by ensuring proper ventilation. It would further be desirable to enable users to reduce energy consumption by varying the minimum ventilation given the number of occupants in a zone. It would further be desirable to improve occupant comfort by reducing the size and number of temperature errors throughout the day. It would further be desirable to reduce occupant discomfort by calculating a setpoint temperature for a zone based on occupants' preferences. It would further be desirable to improve temperature control for a room because heat gains from people, equipment, and lights are compensated for at the time convective heat gains enter the zone.
  • [0010]
    It would be desirable to provide a system and/or method that satisfies one or more of these needs or provides other advantageous features. Other features and advantages will be made apparent from the present specification. The teachings disclosed extend to those embodiments that fall within the scope of the claims, regardless of whether they accomplish one or more of the aforementioned needs.
  • SUMMARY
  • [0011]
    One embodiment of the application relates to an HVAC control system configured to control the environment of a building zone. The HVAC control system includes a means for determining a number of people occupying the building zone and a means for determining properties of other heat transferring objects located within the building zone. The HVAC control system may also include a controller, the controller being configured to compute a projected heat gain in a building zone based on the determined number of people occupying the building zone and the determined properties of the other heat transferring objects located within the building zone. The controller may use the computed projected heat gain to determine a zone ventilation setpoint for the building zone.
  • [0012]
    Another embodiment of the application relates to a method of providing HVAC control to a zone using an HVAC control system, including determining a desired volumetric flow rate, selecting a volumetric flow rate setpoint, and sending the selected volumetric flow rate setpoint to a zone ventilation device. Determining a desired volumetric flow rate includes computing a projected convective heat gain to the zone from people and other heat transferring objects located within the building zone and considering at least one air property.
  • [0013]
    Yet another embodiment relates to a controller configured to control the environment of a building zone. The controller may include a data processor. The controller may also include a zone ventilation device interface communicably coupled to the data processor, the zone ventilation device interface being configured to route a control signal to a zone ventilation device. The controller may also include a sensor interface communicably coupled to the data processor, the sensor interface being configured to accept a signal from at least one sensor located within the building zone. The data processor may be configured to compute a projected convective heat gain to the building zone from people and other heat transferring objects located within the building zone based on a signal received from the sensor interface. The data processor may also be configured to send a control signal to the zone ventilation devices via the zone ventilation device interface based at least partially on the computed projected convective heat gain.
  • [0014]
    Alternative exemplary embodiments relate to other features and combinations of features as may be generally recited in the claims.
  • BRIEF DESCRIPTION OF THE FIGURES
  • [0015]
    The application will become more fully understood from the following detailed description, taken in conjunction with the accompanying drawings, wherein like reference numerals refer to like elements, in which:
  • [0016]
    FIG. 1 is a perspective view of an exemplary building that may include an HVAC control system;
  • [0017]
    FIG. 2 is a perspective view of a building zone that may be controlled by an HVAC control system of an exemplary embodiment;
  • [0018]
    FIG. 3 is a block diagram of an HVAC control system configured to sense preferred temperatures of people located within building zones, according to an exemplary embodiment;
  • [0019]
    FIG. 4 is a block diagram of an HVAC control system, according to an exemplary embodiment;
  • [0020]
    FIG. 5 is a logical block diagram of an HVAC control system, according to an exemplary embodiment;
  • [0021]
    FIG. 6A is a diagram of a zone, the diagram illustrating various heat gain components from people, equipment, and lights;
  • [0022]
    FIG. 6B is a block diagram that illustrates a relationship between instantaneous convection, radiated heat, delayed convection, and the cooling load of the room or zone due to people, equipment, and lights;
  • [0023]
    FIG. 7 is a flow chart of a method of providing HVAC control to a zone using an HVAC control system, according to an exemplary embodiment;
  • [0024]
    FIG. 8 is a detailed flow chart of a method of providing HVAC control to a zone using an HVAC control system, according to an exemplary embodiment.
  • DETAILED DESCRIPTION OF THE EXEMPLARY EMBODIMENTS
  • [0025]
    Before turning to the figures which illustrate the exemplary embodiments in detail, it should be understood that the application is not limited to the details or methodology set forth in the following description or illustrated in the figures. It should also be understood that the phraseology and terminology employed herein is for the purpose of description only and should not be regarded as limiting.
  • [0026]
    In general, and referring generally to the FIGURES, an HVAC control system of any preferred embodiment may include at least one people sensor, at least one object sensor, a controller, and outputs to zone ventilation devices such as variable air volume units. The people and object sensors may be able to sense, via any number of different methods, the number and/or properties of people and other heat transferring objects, such as lights and equipment, located within a building zone. The controller, which may include a feedforward control, may be configured to compute a projected heat gain to the building zone based on the sensed heat transferring people and objects. The HVAC control system may then determine a desired volumetric flow rate of air into the building zone, based at least partially on the computed projected heat gain. The HVAC control system may then use the desired volumetric flow rate to determine dynamic setpoints and adaptively control the environment of the building zone with reduced reliance on temperature feedback and static setpoints.
  • [0027]
    Referring to FIG. 1, a perspective view of an exemplary building 100 that may include an HVAC control system is illustrated. Building 100 may be a commercial building, an industrial building, an institutional building, a healthcare facility, a school, a manufacturing plant, an office building, a residential building, or any other building that makes use of HVAC systems. Building 100 may include one or more air handling units 102, shown in FIG. 1 as a rooftop air handling unit, and one or more building zones 104. As illustrated, building 100 may include more than one floor, more than one room, and may house any number of people, lights, and other equipment.
  • [0028]
    Building 100 and its HVAC system may include any type or number of air handling units (e.g., a makeup air unit, a rooftop air unit, a fan coil unit, a constant air volume air handling unit, a variable air volume air handling unit, etc.). Building 100 may also include any type or number of HVAC subsystems and/or HVAC zones. For example, building zone 104 may be an HVAC zone comprising a single room or multiple rooms. In other buildings or systems, each floor of a building may be a separate building zone or HVAC zone controlled by a separate HVAC system or HVAC subsystem. Any number of individual heating, cooling, or air control devices may be disposed around the building and/or each building zone. For example, variable air volume units may be installed throughout building 100. The variable air volume unit or set of variable air volume units may be used by an HVAC control system to regulate the air flow rate and other variables (e.g., heat, humidity, outside air, etc.) provided to the building zone by the HVAC system. Each variable air volume unit may be of any type or design and may include a damper, an actuator, and an actuator control circuit. Variable air volume units may generally be referred to as a type of zone ventilation device. A zone ventilation device may be considered any device or devices configured to provide controlled ventilation (heated, cooled, filtered, or otherwise) to a building zone. For example, a zone ventilation device may be a terminal variable air volume unit, an intermediate variable air volume unit, a fan, an air conditioner, an evaporative -cooler, an zone-specific air handling unit, etc.
  • [0029]
    Referring to FIG. 2, a close-up perspective view of a building zone 104 is shown, according to an exemplary embodiment. Building zone 104 may include an HVAC vent 108 coupled to ductwork 106. Supply air flow or ventilation may be provided to zone 104 via vent 108. Building zone 104 may also include lights 110, equipment 112 (shown as a computer workstation), laptops 114, people 116, 118, and one or more sensors 120. Building zone 104 may include any number of additional or alternative objects, equipment, structures, surfaces, people, and/or lights.
  • [0030]
    Sensors 120 may be disposed within and/or around building zone 104 and may be configured to sense HVAC-related conditions or variables of building zone 104. For example, sensors 120 may be temperature sensors, humidity sensors, air quality sensors, equipment sensors, person sensors, lighting sensors, heat transferring object sensors, infrared sensors, RFID transceivers, and/or any other type of sensor that may be configured to sense an HVAC related condition, property, number of people, property of other heat transferring objects located within the building zone, or any other related variable of building zone 104. Sensors 120 are shown disposed on the walls of building zone 104, but may be located, positioned, or disposed in any manner or location within building zone 104. Sensors 120 may also have any number of user interface and/or communications features configured to facilitate their operation with an HVAC control system. Sensors 120 may be wireless or wired sensors configured to operate on a mesh network or to operate on or with any other network topology.
  • [0031]
    Objects 112 through 118 are examples of heat transferring people or objects that may transfer (via radiation and/or convection) heat to building zone 104. For example, heat may be transferred from people 116, 118, equipment 112, 114, and lighting 110 to building zone 104. One or more sensors 120 may be configured to determine the number and properties of people located within building zone 104. One or more sensors 120 may also be configured to determine the number, type, and/or properties of other heat transferring objects located within building zone 104.
  • [0032]
    According to an exemplary embodiment, a variety of sets or different types of sensors 120 may exist within building zone 104. For example, a first set of sensors 120 may be configured to sense ambient temperature of the zone, a second set of sensors 120 may be configured to determine heat transferring properties (e.g., number of people, average heat generation per person, preferred temperature settings, etc.) of people in the building zone, and a third set of sensors may be configured to determine heat transferring properties of non-human objects within the zone (e.g., number of lights, number of computers, heat of the lights, power used by the lights, efficiency of the equipment and lights, etc.).
  • [0033]
    According to an exemplary embodiment, some sensors 120 may be thermographic imaging sensors capable of using a thermal imager to detect, display and record thermal patterns and temperatures across the surface of an object. For example, a sensor 120 configured to use infrared thermography to detect heat transferring objects within a building zone may be able to compare the ambient or average temperature of objects within the zone to areas of the zone that exceed some threshold. Using this information, for example, a thermographic sensor may be able to determine that there are six heat radiating lights within building zone 104 by determining that the surface temperatures of the lights are greater than thirty degrees hotter than the average temperature of the building zone. Using thermographic sensors, an HVAC control system may be able to detect different heat signatures, (e.g., for people, equipment, and lights, etc.) and count the number of each located in the building zone. Some thermographic sensors or a sets of thermographic sensors may be able to calculate a projected heat gain to the space without specifically identifying the objects located within the building zone based on the difference between the known ambient air temperature and the thermographically sensed surfaces of heat transferring objects and/or people dispersed in the zone.
  • [0034]
    According to another exemplary embodiment, various circuits such as a resistor-capacitor circuit may be used as sensors to determine heat transferring properties of the lights or other power-using objects located within the building zone. Heat transferring properties of lights may be the number of activated lights located within a building zone, the power used by the lights located within the building zone, the current flow through a lighting circuit, or any other property of lights that may be used to estimate heat transfer to a building zone. These properties may be determined and reported to the HVAC control system for further processing.
  • [0035]
    According to another exemplary embodiment, some properties of heat transferring people and objects located within a building zone may be obtained by a database and accompanying processing components. For example, a database of network connections and/or login information for a building zone may be maintained and this information provided to the HVAC control system. Using this network connection or login information, an HVAC control system may be able to both determine the number of active workstations (and accompanying equipment such as lights and computers) and/or the number of active people located within the zone. In a building zone having a number of single-user cubicles, each cubicle having a similar desktop computer and lighting configuration, information regarding the number of people located within the building zone, the number of active lights located within the zone, and the number of active desktop computers located within the zone may be estimated relatively accurately using login information of a building zone. Similarly, people, equipment and lights may be estimated using schedule and meeting information related to a building zone. For example, if a meeting zone such as a conference room is reserved and/or otherwise scheduled, a database system may access attendee information to estimate the number of people located within the zone at any given time. Additionally, the system may be programmed to assume that the lights of the building zone may be turned on prior to the meeting and that the lights will begin transferring heat to the building zone at that time. According to various other exemplary embodiments, information regarding schedules and/or network connection information may be used to activate certain wireless sensors located within the building zone in an attempt to conserve energy of those wireless sensors. For example, an HVAC control system may be able to predict people, equipment, and lighting heat loads based on scheduled or occupancy information from the building occupants' primary or office-wide scheduling systems such as LOTUS NOTES®, LOTUS CALENDAR®, MICROSOFT OUTLOOK CALENDAR®, MICROSOFT EXCHANGE®, phone system vacation settings, vacation schedules of human resources software, and/or any other software that may be available that the HVAC control system may draw upon to predict occupancy and/or activity information.
  • [0036]
    Referring to FIG. 3, according to an exemplary embodiment, sensors 120 configured to determine the number of people in a building zone may be radio frequency identification (“RFID”) sensors. Each person 116, 118 in a building zone may normally carry an RFID tag or transponder 306. RFID tag or transponder 306 may be embedded or included with a person's identification badge, nametag, cell-phone, PDA, uniform, key fob, or any other object a person may frequently carry with him or her. Each person may be able to login or access a personal setting interface 302 via an employee intranet, internet, or standalone application. Interface 302 may allow an employee to specify a number of personal comfort settings, such as preferred temperature, that may be associated with each worker's RFID transponder 306. Interface 302 may access information from and store information to database 304. Database 304 may be communicably coupled to HVAC control system 300 (e.g., METASYS® building control system sold by Johnson Controls, Inc. or other available building control systems, etc.). Database 304 may be external HVAC control system 300 or may be integral or embedded into HVAC control system 300. Whenever a person enters a building zone having RFID-capable sensors configured to sense and/or read RFID transponders, the sensors may communicate with database 304 and/or HVAC control system 300 to lookup information associated with the sensed ID badge. The HVAC control system may then used this looked-up information (e.g., preferred temperature, etc.) as an input when determining a desired flow rate or setpoint of various HVAC components relating to the building zone. Using such a system, for example, a person who is more comfortable in a cooler room might be able to automatically cause an increase in room ventilation when he or she enters the room. When more than one person is located in the same room or building zone, the HVAC control system 300 may be configured to use the preferred temperatures of a plurality of people in the building zone to arrive at an average preferred temperature, median preferred temperature, or some other group temperature or comfort-related determination.
  • [0037]
    In addition to using RFID technology to identify people within a building zone, other technologies and/or methods may be used to identify the numbers of people in a zone and/or the preferences of people in the zone. For example, wireless data communication technologies or protocols such as 802.xx protocols may be used, BLUETOOTH protocols, or any other wireless protocol may be used to identify devices or tags 306 workers may normally carry. Workplaces where PDA or Smartphone use is popular might, for example, use sensed Bluetooth-enabled PDA's, Smartphones, and/or mobile phones located within a building zone to provide identifying information to a receiver or sensor 120 and eventually to a HVAC control system.
  • [0038]
    According to one alternative embodiment, a sensor system may be configured to determine or estimate the number of people in a zone based on a sensed carbon dioxide generation rate. One such possible sensor system configured to determine the number of people in a building zone based on carbon dioxide is described in U.S. Pat. No. 5,550,752, to Federspiel et al.
  • [0039]
    According to other various exemplary embodiments, the HVAC control system is further configured to learn the heating characteristics of the zone. The HVAC control system may use the learned heating characteristics of the zone and the sensed people to compute the projected heat gain to the zone based on people and objects. For example, HVAC control system may learn that when a building zone is occupied by a person, the person, lights, and equipment of the zone will experience a certain average convective heat gain relative to an unoccupied zone.
  • [0040]
    Sensors 120 may have various communications hardware and/or software for communicating with components of an HVAC control system. For example, sensors 120 may be of any wired or wireless technology capable of communicating sensed information back to an HVAC control system. According to one exemplary embodiment, sensors 120 are wireless-capable sensors configured to operate with IEEE 802.15 standards and protocols (e.g., ZigBee compatible wireless-capable sensors, etc.).
  • [0041]
    Referring to FIG. 4, a block diagram of an HVAC control system 300 is shown, according to an exemplary embodiment. An HVAC control system 300 may include a controller 400, a plurality of sensors, a graphical user interface display 438, and a control array 436. HVAC control system 300 may be an HVAC control system capable of controlling a plurality of building zones, an entire building, or a single zone. While the various components of HVAC control system 300 and controller 400 are shown integrated into a single unit, it should be appreciated that distributed HVAC systems, such as the METASYS® building control system sold by Johnson Controls, Inc., may include one or more network automation engines, one or more application data servers, one or more communications networks, one or more field controllers connected to the network automation engines or application data server via the communications network, the field controller being capable of driving any number of other field controllers or devices. According to other alternative embodiments, controller 400 may have fewer components and may be integrated into an actuator for a single damper that controls ventilation to a relatively small (e.g., single room) zone. According to yet other alternative embodiments, controller 400 may be installed in the residential context in a home air handler, air conditioner, fan unit, or furnace.
  • [0042]
    Controller 400 may include a primary data processor 402, a secondary microcontroller 404, a memory 406, a sensor interface and controller 412, a zone ventilation device interface and controller 414, a network communications device 416, a wireless communications device 418, a display output controller, and a control input controller 422. The components of controller 400 may be contained in a single housing or distributed around the various spaces or building zones of a building.
  • [0043]
    Primary data processor 402 may be communicably coupled to the various other components of the HVAC control system and is generally configured to control each function of controller 400. Primary data processor 402 may include digital or analog processing components and/or be of any past, present, or future design that facilitates control or features of HVAC control system 300. Primary data processor 402 may be a single data processing device or multiple data processing devices. Primary data processor 402 may include any combination of program software and hardware capable of providing control, display, communications, input and output features to an HVAC control system. For example, primary data processor 402 may include any number of additional hardware modules, software modules, or processing devices (e.g., additional graphics processors, communications processors, etc.). Primary data processor 402 and/or secondary microcontroller 404 may coordinate the various devices, components and features of the HVAC control system (e.g., memory 406, sensor interface and controller 412, zone ventilation interface and controller 414, etc).
  • [0044]
    Memory 406 is configured to store data accessed by HVAC control system 300 or controller 400. For example, memory 406 may store data input from zone sensors and actuators, data created by primary data processor 402 that may be used later, intermediate data of use in a current calculation or process, or any other data of use by HVAC control system 300. Memory 406 may include both a volatile memory 410 and a non-volatile memory 408. Volatile memory 410 may be configured so that the contents stored therein may be erased during each power cycle of the controller 400. Non-volatile memory 408 may be configured so that the contents stored therein may be retained across power cycles, such that upon controller 400 power-up or reset, data from previous system use remains available to the controller or user. According to an exemplary embodiments non-volatile memory 410 may store any number of databases, tables, or profiles for use with the various zones or functions of the HVAC control system 300. According to other various exemplary embodiments, controller 400 may access remote data stores or servers via wired or wireless networks.
  • [0045]
    Sensor interface and controller 412 may be a device or set of devices configured to facilitate signal connections between a set of building zone sensors 432 and controller 400. Sensor interface 412 may use any number of hardware technologies and/or software protocols to accomplish necessary connections and or communications with sensors such as environment sensors 424, people sensors 426, RFID sensors 428, lighting sensors 430, zone temperature sensors 434, and any number of additional sensors or devices (e.g., security devices, smoke alarms, etc.). Sensor interface and controller 412 may also be wired or connected to wireless receivers distributed around a building zone. For example, sensor interface and controller 412 may be coupled to a wireless RFID transceiver or receiver configured to identify people occupying a building zone.
  • [0046]
    Zone ventilation device interface and controller 414 may be a device or set of devices configured to facilitate signal connections between a set of zone ventilation devices (e.g., wired zone ventilation devices 415, wireless zone ventilation devices 452, etc.) and controller 400. Zone ventilation device interface and controller 414 may use any number of hardware technologies and/or software protocols to accomplish necessary connections and or communications with zone ventilation devices. Zone ventilation device interface 414 may also use wireless technology and/or may be communicably connected to wireless communications device 418 to accomplish communications with wireless zone ventilation devices 452. It is important to note that zone ventilation devices 452, 415 may include any number of local control circuits, sensors, and/or actuators that may be used to facilitate local or device level control of the various zone ventilation devices of the HVAC control system.
  • [0047]
    Wireless communications device 418 is generally configured to establish communication links with wireless sensors and actuators of HVAC control system 300. Wireless communications device 418 may be configured to use any variety of wireless communications technologies or topologies (e.g., mesh topology, star, etc.). According to an exemplary embodiment, building zones may be partially wireless and partially wired. Wireless communications device 418 may connect to any number of various zones sensor sets 448 that may include sensors such as wireless environment sensors 440, wireless people sensors 442, wireless RFID sensors 444, wireless lighting sensors 446. Wireless communications device 418 may also connect to any other wireless sensor such as wireless zone temperature sensors 450, wireless zone ventilation devices 452, and/or any other type of wireless device including intermediate wireless access points, coordinators, routers, and/or gateways.
  • [0048]
    Network communications device 416 is generally configured to provide a connection to a data communications network such as an Ethernet-based LAN or WAN. According to other various embodiments, network communications device 416 is a wireless network communications device. Users of the HVAC control system 300 may use network communications device 416 to perform remote control functions and/or to connect distributed components of controller 400 or HVAC control system 300. Network communications device 416 and/or wireless communications device 418 may also be connected to a building-wide or multiple-zone HVAC system, network, network automation engine, and/or application data server. These components may be a part of the METASYS® building control system sold by Johnson Controls, Inc. or other available building control systems, etc.
  • [0049]
    Controller 400 may also include any number of secondary microcontrollers 404 that may be configured to compute or process various functions of the HVAC control system 300. Controller 400 may also include control input controllers 422 and display output controllers 420 that may be communicably connected to control arrays 436 and/or graphical user interface displays 438. Using these devices, controller 400 may be able to serve as a standalone device, not requiring the use of a separate networked workstation or browser to control various features of controller 400.
  • [0050]
    Referring to FIG. 5, a logical block diagram of an HVAC control system with a control strategy for zone ventilation devices is illustrated, according to an exemplary embodiment. Sensors 120, and any accompanying processing components, wireless receivers, and other devices used with sensors, may be installed within a building zone and configured to provide a variety of inputs to HVAC control system 300. Sensors 120 may provide input in the form of the number of people, power use by lighting, power use by equipment, RFID numbers sensed, and any other information or properties of people, lighting, and equipment of the building zone that may be used by feedforward control 508 to determine convective heat gain to a building zone from people, equipment, and lights.
  • [0051]
    Preferred temperature setpoint calculator 504 takes input from sensors 120. The input provided to preferred setpoint calculator 504 from sensors 120 may be in the form of a number of people, people identifiers, and/or a preferred temperature for each person occupying the zone. According to an exemplary embodiment, preferred setpoint calculator 504 may use person identification information obtained by sensors 120 to poll preferred temperature database 505 for a preferred temperature of each person occupying the relevant building zone. Preferred temperature setpoint calculator 504 may use any number of different calculations to calculate a room temperature setpoint from the preferred temperature for each person in the room. According to one exemplary embodiment, preferred temperature setpoint calculator 504 may use the following equation to determine the preferred temperature setpoint:
  • [0000]
    T set = T set , 1 + T set , 2 + + T set , n n
  • [0000]
    Tset,n is the preferred temperature for the nth person in a building zone and n is the number of people currently located in the building zone. Preferred temperature setpoint calculator 504 may provide an input to preferred temperature setpoint feedback control 506. It is important to note that preferred temperature setpoint calculator 504 may make any additional calculations or substitute calculations to arrive at a preferred temperature setpoint (Tset). For example, preferred temperature setpoint calculator 504 may perform various weighing calculations to assign a higher priority to a first person compared to a second person. Temperature setpoint calculator 504 may also access database 505 to read or write preferred temperature information.
  • [0052]
    Feedback control 506 also accepts an input from one or more temperature sensors 502 located in the building zone. Using the sensed temperature, feedback control 506 determines a volumetric flow setpoint (VFB) necessary to maintain the preferred temperature setpoint (Tset) determined by preferred temperature setpoint calculator 504.
  • [0053]
    Feedforward control 508 may determine a desired volumetric flow rate (VFF). HVAC control system 300 may use the desired volumetric flow rate to improve HVAC performance and building zone comfort by adjusting the supply airflow provided to the building zone to balance heat gains from people, equipment, and lights. This determination may allow HVAC control system 300 to maintain a building zone temperature or ventilation level closer to desired setpoints than would be possible with conventional control strategies. Feedforward control 508 may compute a projected or predicted convective heat gain (QCONV) to a building zone based on properties of people, equipment, and lights. According to one exemplary embodiment, feedforward control 508 may use the following equation to determine a desired volumetric flow rate (VFF), where (ρ) is the density of air, (ċp) is the specific heat of supply air, (TZONE) is the building zone temperature, and (TSUPPLY) is the supply air temperature:
  • [0000]
    V FF = Q CONV ρ c P ( T ZONE - T SUPPLY )
  • [0054]
    QCONV may be computed in a variety of ways. For example, among other ways QCONV may be computed, QCONV may be computed using the instantaneous convection of the people, lighting and equipment sensed in the zone, or the sum of instantaneous convection and delayed convection. Instantaneous convection refers to heat transferred to the zone air via convection from people, equipment, lights and other objects. Delayed convection refers to convection from the interior surfaces (e.g., walls, furnishings, etc.) of the room to the zone air that exists because radiated heat from people, equipment, lights and other objects are absorbed by those interior surfaces and transferred back to the room air via convection.
  • [0055]
    Referring to FIG. 6A, a block diagram of a zone is shown that illustrates sensible heat gain components from people, equipment, and lights. Heat gains from people, equipment, and lights may be split into two components: radiation heat that is absorbed by other surfaces in the room; and convection heat that is transferred to the air of the room. For example, people create some amount of instantaneous convective heat gain in the zone (QCONV,PEOPLE); equipment create instantaneous convective heat gain (QCONV,EQUIP); and lights create instantaneous convective heat gain (QCONV,LIGHTS) People may also radiate some amount of radiated heat (QRAD,PEOPLE) to the interior surfaces of the zone; equipment radiate (QRAD,EQUIP); and lights 68 radiate QRAD,LIGHTS. Some radiated heat may be absorbed by the interior surfaces (e.g., furnishings, walls, ceilings, floors, etc.) of the room or zone and the temperatures of those surfaces will increase because of the absorbed radiation. If a surface temperature is greater than the room temperature, then some or all of the radiation absorbed by the surface will be transferred back to the air of the room or zone from the surfaces (QCONV,SURFACE). FIG. 6B is a block diagram that further illustrates the relationship between instantaneous convection (QCONV,INST), radiated heat, delayed convection (QCONV,DELAY), and the cooling load of the room or zone due to people, equipment, and lights.
  • [0056]
    Instantaneous convection may be determined using the following equation:
  • [0000]

    Q CONV,INST=Σ(Q CONV,PEOPLE +Q CONV,LIGHTS +Q CONV,EQUIP)
  • [0000]
    The delayed convection equals the energy that is absorbed by interior surfaces and then transferred back to the room at a later time by convection. In other words, QCONV,DELAY may be set to equal QCONV,SURFACE.
  • [0057]
    Depending on the processing power available to the HVAC control system or the zone controller, convective heat gain (QCONV) computed or input to feedforward control 508 of FIG. 5 may be computed or predicted using detail beyond raw counts of occupants, preferred temperatures, lights, and computers. For example, tables provided by the handbook “2005 ASHRAE Handbook Fundamentals, SI Edition” may be used to determine the heat created by person located within the zone and the percentage of that heat that is convective. Two exemplary entries of such a table may include the following:
  • [0000]
    Heat that is Heat that is
    Convective Convective
    (Low Air (High Air
    Degree of Activity Application Heat Velocity) Velocity)
    Seated, light work Office 70 40% 73%
    Moderately Active Office 75 42% 62%

    To determine the convective heat gain per person based on the table, for example, heat for a certain activity may be multiplied by the percentage of heat for that activity level that is convective. The convective heat gain of each person in the zone may be added to provide QCONV,PEOPLE.
  • [0058]
    According to an exemplary embodiment, RFID tag or transponder 306 and RFID compatible sensors 120 of FIG. 3 and other various FIGS. of this application may use RFID data to determine the degree of activity of the people in a zone in addition to the number of people in the zone. For example, in a room where people are frequently coming and going, the average number of people in the zone may be relatively low, but it may be determined that the activity level of the room is high because of the short amount of time each RFID tag stays within the zone. According to another exemplary embodiment, a zone with a relatively large number of low power RFID sensors may be used to sense activity by determining how often an RFID tag moves from sensor to sensor in a zone. According to yet further exemplary embodiments, RFID tags 306 (or a database drawing upon the tags) may store vital statistics for the people in the zone such that heat may be more accurately predicted for any given person (e.g., a 2501b man may generally do more work to stand up and move and may therefore create more heat than a 1501b man standing and moving the same distance).
  • [0059]
    Referring still to FIGS. 5-6B, QCONV,LIGHTS may be obtained by based on the heat gain from electric lighting used in the room. While the heat gain from electrical lighting may be provided by a variety of methods and/or equations, one such equation provided by the handbook “2005 ASHRAE Handbook Fundamentals, SI Edition” is: Qlight=WFulFsa; where W is the total light wattage, Ful is a lighting use factor that equals the ratio of wattage in use to total installed or potential wattage, and Fsa is the lighting special allowance factor that accounts for different fixture or lighting types (e.g., fluorescent, high-pressure sodium, metal halide, mercury vapor, etc.) and/or fixtures that are ventilated or installed so that only part of the heat gain enters the room. Tables of use factors and special allowance factors may be found in the handbook “2005 ASHRAE Handbook Fundamentals, SI Edition”. The instantaneous convective heat gain from lights (QCONV,LIGHT) may be determined by multiplying the total heat gain from lights (Qlight) by the fraction of energy that is convective. According to various sources such as “Heating, Ventilating, and Air Conditioning Analysis and Design,” by McQuiston, et al., 2005, the heat gain for fluorescent fixtures used in office zones is often assumed to be around 59 percent radiative and 41 percent convective. The same source estimates that incandescent fixtures provide a heat gain mixture of approximately 80 percent radiative heat and 20 percent convective heat.
  • [0060]
    Convective heat gain from equipment (QCONV,EQUIP) may include heat from electric motors, appliances, laboratory equipment, medical equipment, office equipment, amplifiers, power supplies, commercial cooking appliances, medical equipment, computer equipment, laser printers and copiers, vending machines, mail-processing equipment, and any number of other different types of equipment. Sources such as the handbook “2005 ASHRAE Handbook Fundamentals, SI Edition” may contain tables of heat gains and summaries of radiant/convective heat percentages for many various types of equipment. The convective portion for many types of office equipment, for example, is typically between about 60 and 90 percent.
  • [0061]
    While delayed convection (QCONV,DELAY) may be computed by the controller and accounted for using feedforward control 508 if adequate processing power is available, using only instantaneous convection as the convective heat gain (e.g., QCONV=QCONV,INST) may result in a less processor intensive control strategy. Remaining load disturbances caused by convection delay may largely and eventually be removed by room temperature feedback control 506 of FIG. 5. Feedback control 506 may also remove disturbances caused by sensor and modeling errors used to compute the instantaneous convective gains, solar gain, and other heat gains throughout the exterior walls, floors, and ceilings.
  • [0062]
    Referring again to FIG. 5, feedforward control 508 may be communicably coupled to database 509 that may contain various lookup tables relating to computing variables or components such as QCONV, QCONV,INST, QCONV,DELAY, QCONV,PEOPLE, QCONV,LIGHTS, QCONV,EQUIP, etc. For example, database 509 may be a relational database capable of relating a zone's characteristics, expected people activity levels, lights, and equipment to table entries such as the tables of the sources mentioned above that provide estimated total heat amounts and convective heat/radiant heat percentages. Feedforward control 508 may use the results of queries drawing upon database 509 to compute QCONV for use in the equation used by feedforward control 508 to determine a desired volumetric flow rate. According to various alternative embodiments, feedforward control 508 or other components of the controller or HVAC control system may use any number of lookup tables, databases, memories, and/or analog or digital circuits to determine QCONV.
  • [0063]
    Referring still to FIG. 5, summer 510 receives input from feedforward control 508 and feedback control 506 to provide a control signal to limit determinations block 514. Summer 510 may help control system 300 account for both the preferred temperature setpoints of people located within the building zone and for projected changes in room temperature due to the sensed or determined people, lights, and equipment of the zone.
  • [0064]
    Ventilation requirement block 512 may determine or adjust a lower limit of supply airflow. Using the sensed number of people located within a building zone, ventilation requirement block 512 may lower energy consumption and improve the comfort and health of occupants by adjusting a lower limit of supply airflow. Ventilation requirement block may use any number of lookup tables and/or equations to determine a lower limit of supply airflow based on a sensed number of people located within a building zone. For example, ventilation requirement block 512 may use any number of equations recommended, suggested, and/or required by standards or building codes such as the standards published by the American Society of Heating, Refrigerating and Air Conditioning Engineers (ASHRAE) or the American National Standards Institute (ANSI). For example, ventilation requirement block 512 may use equations based on ANSI/ASHRAE Standard 62.1-2004 “Ventilation for Acceptable Air Quality” to determine the building zone outdoor airflow rate (VOT). One possible example is:
  • [0000]
    V OT = R P n + R A A Z E Z
  • [0000]
    (RP) is the desired outdoor airflow rate required per person as determined from a lookup table (e.g., Table 6-1 of ANSI/ASHRAE Standard 62.1-2004) or equation. (n) is the number of sensed people in a building zone. (RA) is the outdoor airflow rate required per unit area as determined from a lookup table (e.g., Table 6-1 of ANSI/ASHRAE Standard 62.1-2004) or equation. (AZ) is the net occupiable floor area of the room. (EZ) is the building zone distribution effectiveness as determined from a lookup table (e.g., Table 6-1 of ANSI/ASHRAE Standard 62.1-2004, etc.) or equation. Ventilation requirement block 512 may access database 513 to retrieve information from a variety of lookup tables. A determined lower limit of the supply airflow setpoint (Vmin) may be determined based on any number of lookup tables and/or equations. For example, a determined lower limit of the supply airflow setpoint (Vmin)may be determined from equation:
  • [0000]
    V MIN = V OT f OA
  • [0000]
    where (fOA) is the fraction of outdoor air in the supply air.
  • [0065]
    Limit determinations block 514 may determine the final volumetric flow rate setpoint, according to an exemplary embodiment. Limit determinations block 514, may, for example, determine whether to use a setpoint based on (VMAX), the maximum flow rate for the building zone based on design and/or equipment conditions, or to use a setpoint based on the desired volumetric flow rate (VFF). Limit determinations block 514, may also, for example, determine whether to use the minimum volumetric flow rate (Vmin), based on the number of sensed people in the zone, instead of the desired volumetric flow rate (VFF) and feedback-based volumetric flow setpoint (VFB). According to one exemplary embodiment, the setpoint for volumetric flow rate (VSET) may be determined from:
  • [0000]

    V SET=min{V max, max [V min, (V FF +V FB)]}
  • [0000]
    where the maximum of (Vmin) and (VFF+VFB) is first determined to ensure a setpoint that accounts at least for current ventilation flow and the ventilation flow setpoint or some predetermined minimum flow rate. The system then selects the minimum of that predetermined number and the maximum flow rate (VMAX).
  • [0066]
    According to various other exemplary embodiments, any number of limit or filter computations or determinations may be made by limit determination block 514. For example, limit determination block 514 may consult a database or lookup table 515 to determine a minimum volumetric airflow based on the size of the building zone in addition to the number of people, ensuring that even if the sensed number of people is incorrect, some minimum airflow for the zone will be met. According to various other exemplary embodiments, limit determination block 514 only checks to ensure that a threshold maximum volumetric flow rate is not exceeded. In some systems, limit determination block 514 may not exist at all or may exist embedded within other calculations or blocks of HVAC control system 300. Limit determinations block may access database 515 to lookup data related to any number of relevant variables.
  • [0067]
    Once a volumetric flow point setpoint has been determined by one or more of the various components or blocks of HVAC control system 300, the setpoint may be output from a controller to a zone ventilation device 521. Zone ventilation device 521 may include a local feedback controller 516 that modulates a flow-affecting actuator 518 of a damper. Feedback controller 516 may obtain input from one or more flow sensors that assist in accurately achieving the volumetric flow rate setpoint.
  • [0068]
    It is important to note that while FIG. 5 displays an HVAC control system controlling a zone ventilation device including a damper, the HVAC control system illustrated in FIG. 5 may be adapted for use with a variety of different zone ventilation devices. For example, flow rate to various building zones may be controlled using a HVAC control system having variable frequency blowers or a combination of variable frequency blowers and other zone ventilation devices. According to other various embodiments, zone ventilation devices or heating or cooling devices may experience “on/off” control cycles and/or other variable control based on input received from a controller having people, lighting, and equipment sensing features described herein. For example, a flow rate of chilled or heated water in chilled ceiling or floor tiles or zones could be controlled using a modified version of the logical block diagram shown in FIG. 5.
  • [0069]
    The components or blocks of FIG. 5 may be configured to refresh, re-sense, or update on any variety of intervals. For example, feedback control 516 may update or refresh at a faster rate than feedforward control 508 and/or feedback control 506. By way of further example, some low-power wireless sensors 120 may refresh relatively infrequently so that sensors 120 do not frequently interfere with other RF-based devices located around the building zone or building. According to other exemplary embodiments, people sensors or other blocks of HVAC control system 300 update or refresh at a relatively much faster rate than other components in an attempt to begin adjusting system variables as soon as the sensed properties of people, equipment, or lighting within the room change.
  • [0070]
    It is also important to note that the logical block diagram of the HVAC control system shown in FIG. 5 may be implemented in hardware and/or software in a variety of ways. For example, the HVAC control system may be implemented in a largely computer software-based system having a variety of sensing inputs and actuator control outputs. According to other various embodiments, the HVAC control system may be implemented using a mix of hardware and/or software modules.
  • [0071]
    Referring to FIG. 7, a process 700 of providing HVAC control to a zone using an HVAC control system is illustrated, according to an exemplary embodiment. The number of heat transferring people or objects located within a zone and/or any number of other properties of heat transferring objects occupying a building zone may be determined (step 702). Once heat transferring objects (and any relevant properties) within a building zone have been determined, an HVAC control system may compute a theoretical or projected heat gain (step 704) to a building zone from the determined heat transferring people or objects located within the zone. Using the heat gain projected in step 704, the HVAC control system may then determine a desired flow rate (step 706). The HVAC control system may consider certain flow rate limits (step 708) when considering the various system computations or variables. An HVAC control system may use any number of further steps or processes to determine a flow rate setpoint (step 710) and may eventually send the determined flow rate setpoint to a zone ventilation device (step 712) such as a damper (and/or a damper's corresponding local control system).
  • [0072]
    Referring further to FIG. 7, the step of determining heat transferring objects within a building zone (step 702) may make any number of determinations related to heat transferring objects. For example, the step of determining heat transferring objects within a building zone may include collecting a variety of variables such as the number of heat transferring objects sensed, the rate of heat transferred to a volume of air per unit time, a preferred temperature setpoint, a unit of power used, and/or any other property or variable that may allow the HVAC control system to make decisions based on the heat transferring objects located within a building zone. These determinations may also include a number of sub-steps and/or sub-calculations to derive variables to be used in computing a theoretical heat gain to a building zone.
  • [0073]
    Referring now to FIG. 8, a detailed flow chart of a process 800 of optimizing a volumetric flow rate setpoint using an HVAC control system is illustrated, according to an exemplary embodiment. Any number of devices or processes may be utilized by an HVAC control system to sense properties of people located within the building zone (step 802). Any number of devices or processes may also be utilized by an HVAC control system to sense properties of lighting (step 804) and equipment (step 806) located within a building zone. An HVAC control system may then calculate a projected heat gain from the people located within the building zone (step 812), lighting located within the building zone (step 814), and equipment located within the building zone (step 816). An HVAC control system may then compute a total theoretical heat gain to a building zone (step 820) using the sensed properties and/or the calculated projected heat gains for the people, lighting, and equipment located within the building zone. In addition to considering the theoretical heat gain, an HVAC control system may determine preferred temperature setpoints for the people located within the building zone (step 822). Using the determined preferred temperature setpoints, the HVAC control system may calculate an average preferred temperature setpoint (step 824) for the people located within the building zone. Summing or otherwise considering both the preferred temperature(s) and the total projected theoretical heat gain, the HVAC control system may determine a desired volumetric flow rate (step 826). Before using the desired volumetric flow rate determined in step 826, an HVAC control system may determine a minimum flow rate setting based on the number of people located within the building zone (step 828). An HVAC control system may make any number of limit determinations during process 800. For example, an HVAC control system may select a maximum (step 830) of the minimum flow rate setting determined in step 828 and the desired volumetric flow rate determined in step 826. Step 830 may also check to ensure that the selected or desired flow rate is not higher than the maximum flow rate for the building zone or HVAC equipment. An HVAC control system may make any number of setpoint adjustments based on limits or other minimum/maximum checks. Once calculations, limits, and other checks have been completed, an HVAC control system may send the determined volumetric flow rate setpoint to a zone ventilation device (e.g., a damper and/or the damper's local control systems, an air flow control device, etc.) (step 832). The zone ventilation device and/or the HVAC control system may further adjust the components of the zone ventilation device to the determined setpoint based on flow-sensing feedback (step 834). At any point during process 800, process 800 may refresh or loop back to start (or other step) to begin further sensing and calculating operations and/or to determine whether building conditions have changed.
  • [0074]
    While the exemplary embodiments illustrated in the figures and described above are presently preferred, it should be understood that these embodiments are offered by way of example only. Accordingly, the present invention is not limited to a particular embodiment, but extends to various modifications that nevertheless fall within the scope of the appended claims. The order or sequence of any processes or method steps may be varied or re-sequenced according to alternative embodiments.
  • [0075]
    The present invention contemplates methods, systems and program products on any machine-readable media for accomplishing its operations. The embodiments may be implemented using an existing computer processors, or by a special purpose computer processor for an appropriate HVAC system, incorporated for this or another purpose or by a hardwired system.
  • [0076]
    It is important to note that the construction and arrangement of the HVAC control system as shown in the various exemplary embodiments is illustrative only. Although only a few embodiments have been described in detail in this disclosure, those skilled in the art who review this disclosure will readily appreciate that many modifications are possible (e.g., variations in sizes, dimensions, structures, shapes and proportions of the various elements, values of parameters, mounting arrangements, use of materials, colors, orientations, etc.) without materially departing from the novel teachings and advantages of the subject matter recited in the claims. For example, elements shown as integrally formed may be constructed of multiple parts or elements (e.g., multiple processors, circuits, controllers, control interfaces, sensors, etc.), the position of elements may be reversed or otherwise varied (e.g., feedforward control, summer, temperature setpoint calculation, limit determinations, ventilation requirements, etc.), and the nature or number of discrete elements or positions may be altered or varied (e.g., sensors, communications devices, microcontrollers, etc.). Accordingly, all such modifications are intended to be included within the scope of the present invention as defined in the appended claims. The order or sequence of any process or method steps may be varied or re-sequenced according to alternative embodiments. In the claims, any means-plus-function clause is intended to cover the structures described herein as performing the recited function and not only structural equivalents but also equivalent structures. Other substitutions, modifications, changes and omissions may be made in the design, operating conditions and arrangement of the exemplary embodiments without departing from the scope of the present inventions as expressed in the appended claims.
  • [0077]
    As noted above, embodiments within the scope of the present invention include program products comprising machine-readable media for carrying or having machine-executable instructions or data structures stored thereon. Such machine-readable media can be any available media which can be accessed by a general purpose or special purpose computer or other machine with a processor. By way of example, such machine-readable media can comprise RAM, ROM, EPROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store desired program code in the form of machine-executable instructions or data structures and which can be accessed by a general purpose or special purpose computer or other machine with a processor. When information is transferred or provided over a network or another communications connection (either hardwired, wireless, or a combination of hardwired or wireless) to a machine, the machine properly views the connection as a machine-readable medium. Thus, any such connection is properly termed a machine-readable medium. Combinations of the above are also included within the scope of machine-readable media. Machine-executable instructions comprise, for example, instructions and data which cause a general purpose computer, special purpose computer, or special purpose processing machines to perform a certain function or group of functions.
  • [0078]
    It should be noted that although the diagrams herein may show a specific order of method steps, it is understood that the order of these steps may differ from what is depicted. Also two or more steps may be performed concurrently or with partial concurrence. Such variation will depend on the software and hardware systems chosen and on designer choice. It is understood that all such variations are within the scope of the invention. Likewise, software implementations of the present invention could be accomplished with standard programming techniques with rule based logic and other logic to accomplish the various connection steps, processing steps, comparison steps and decision steps.

Claims (27)

  1. 1. An HVAC control system configured to control the environment of a building zone, comprising:
    means for determining a number of people occupying the building zone;
    means for determining properties of other heat transferring objects located within the building zone; and
    a controller, the controller being configured to compute a projected heat gain in a building zone based on the determined number of people occupying the building zone and the determined properties of the other heat transferring objects located within the building zone;
    wherein the controller uses the computed projected heat gain to determine a zone ventilation setpoint for the building zone.
  2. 2. The system of claim 1, wherein the zone ventilation setpoint is a volumetric flow rate of air, and wherein the zone ventilation setpoint is used to adjust at least one zone ventilation device capable of affecting the volumetric flow rate of air provided to a building zone.
  3. 3. The system of claim 1, wherein the controller includes a feedforward control having inputs of the determined number of people and the determined properties of other heat transferring objects.
  4. 4. The system of claim 1, wherein the projected heat gain is a projected convective heat gain to the building zone.
  5. 5. The system of claim 1, wherein the means for determining the number of people occupying the building zone includes a radio frequency receiver.
  6. 6. The system of claim 1, wherein the means for determining properties of other heat transferring objects located within the building zone includes a wireless sensor.
  7. 7. The system of claim 1, wherein the other heat transferring objects of the building zone include heat transferring lights of the building zone.
  8. 8. The system of claim 7, wherein the means for determining properties of other heat transferring objects located within the building zone includes a circuit configured to determine a lighting property of the zone.
  9. 9. The system of claim 1, wherein the controller is further configured to learn the heating characteristics of the zone; and wherein the HVAC control system uses the learned heating characteristics of the zone and the determined number of people to compute the projected heat gain to the zone based on people and objects.
  10. 10. The system of claim 1, wherein the controller is configured to compute the projected heat gains of a zone based on determined properties of people, computers, and lights of the zone.
  11. 11. The system of claim 1, wherein the controller is configured to identify at least one person within the zone, and wherein the controller determines a preferred temperature for the identified at least one person within the zone.
  12. 12. The system of claim 11, wherein the controller is further configured to identify at least two people located within the building zone in order to determine the zone ventilation setpoint for the building zone using the preferred temperature of the at least two people.
  13. 13. The system of claim 12, wherein the ventilation setpoint is determined by averaging the determined preferred temperature of the at least two people in the zone.
  14. 14. The system of claim 12, wherein the means for determining a number of people occupying the building zone includes an RFID sensor configured to identify RFID devices carried by people.
  15. 15. The system of claim 14, wherein the controller retrieves an identified person's preferred temperature from a database of preferred temperatures communicably coupled to the controller, and wherein the person's preferred temperature may be set via a web-based interface.
  16. 16. A method of providing HVAC control to a zone using an HVAC control system, comprising:
    determining a desired volumetric flow rate, comprising:
    computing a projected convective heat gain to the zone from people and other heat transferring objects located within the building zone, and considering at least one air property;
    selecting a volumetric flow rate setpoint;
    sending the selected volumetric flow rate setpoint to a zone ventilation device.
  17. 17. The method of claim 16, further comprising determining the number of people occupying the zone; and
    determining a lower limit of supply airflow based on the number of people occupying the zone.
  18. 18. The method of claim 16, further comprising:
    identifying at least one person occupying the zone;
    determining a preferred temperature for the identified at least one person occupying the zone; and
    using the determined preferred temperature of the at least one person occupying the zone to partially determine the zone ventilation setpoint for the building zone.
  19. 19. The method of claim 16, further comprising:
    identifying at least two people occupying the building zone using RFID sensors configured to identify RFID devices carried by people;
    determining the preferred temperature for the at least two identified people occupying the building zone and using a database of preferred temperatures associated with people;
    averaging the determined preferred temperatures of the at least two people; and
    using the average to compute a zone ventilation setpoint.
  20. 20. The method of claim 16, further comprising determining the number of people occupying the zone using a wireless RFID sensor configured to identify RFID devices carried by people.
  21. 21. The method of claim 20, further comprising determining the activity level of the people occupying the zone using the wireless RFID sensor; and
    using the determined activity level to compute the projected convective heat gain to the zone from people.
  22. 22. The method of claim 16, further comprising:
    predicting the convective heat gain to the zone from people and other heat transferring objects located within the building zone based upon schedule information of a scheduling database; and
    adjusting a volumetric flow rate setpoint prior to a scheduled meeting time.
  23. 23. A controller configured to control the environment of a building zone, comprising:
    a data processor;
    a zone ventilation device interface communicably coupled to the data processor, the zone ventilation device interface being configured to route a control signal to a zone ventilation device; and
    a sensor interface communicably coupled to the data processor, the sensor interface being configured to accept a signal from at least one sensor located within the building zone;
    wherein the data processor is configured to compute a projected convective heat gain to the building zone from people and other heat transferring objects located within the building zone based on a signal received from the sensor interface; and wherein the data processor is configured to send a control signal to the zone ventilation devices via the zone ventilation device interface based at least partially on the computed projected convective heat gain.
  24. 24. The controller of claim 23, further comprising a means for determining a preferred temperature based on the people occupying the building zone, wherein the determined preferred temperature is considered by the processing means to determine the environment setpoint.
  25. 25. The controller of claim 23, further comprising a communications device configured to receive scheduling information from a scheduling database, wherein the data processor is configured to predict convective heat gain to the building zone based upon the received scheduling information and to send a control signal to the zone ventilation devices via the zone ventilation device interface based on the predicted convective heat gain to the building zone.
  26. 26. The controller of claim 25, wherein the controller causes the zone ventilation devices to provide an increased level of ventilation to the zone prior to a scheduled time of the scheduling database.
  27. 27. The controller of claim 25, wherein the scheduling database is the primary scheduling database used by the occupants of the building zone and wherein the scheduling information is meeting information.
US11801143 2007-05-09 2007-05-09 HVAC control system and method Abandoned US20080277486A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US11801143 US20080277486A1 (en) 2007-05-09 2007-05-09 HVAC control system and method

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11801143 US20080277486A1 (en) 2007-05-09 2007-05-09 HVAC control system and method
US12181258 US20090065596A1 (en) 2007-05-09 2008-07-28 Systems and methods for increasing building space comfort using wireless devices

Publications (1)

Publication Number Publication Date
US20080277486A1 true true US20080277486A1 (en) 2008-11-13

Family

ID=39968636

Family Applications (1)

Application Number Title Priority Date Filing Date
US11801143 Abandoned US20080277486A1 (en) 2007-05-09 2007-05-09 HVAC control system and method

Country Status (1)

Country Link
US (1) US20080277486A1 (en)

Cited By (112)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080179408A1 (en) * 2007-01-30 2008-07-31 Johnson Controls Technology Company Sensor-free optimal control of air-side economizer
US20080179409A1 (en) * 2007-01-30 2008-07-31 Johnson Controls Technology Company Adaptive real-time optimization control
US20090067363A1 (en) * 2007-07-31 2009-03-12 Johnson Controls Technology Company System and method for communicating information from wireless sources to locations within a building
US20090065596A1 (en) * 2007-05-09 2009-03-12 Johnson Controls Technology Company Systems and methods for increasing building space comfort using wireless devices
US20090083583A1 (en) * 2007-07-17 2009-03-26 Johnson Controls Technology Company Fault detection systems and methods for self-optimizing heating, ventilation, and air conditioning controls
US20090088901A1 (en) * 2007-10-02 2009-04-02 Lennox Manufacturing, Inc., A Delaware Corporation Method and apparatus for configuring a communicating environmental conditioning network
US20100077241A1 (en) * 2008-09-25 2010-03-25 International Business Machines Corporation Business energy management based on user network access and calendar data
US20100094467A1 (en) * 2008-10-15 2010-04-15 Hitachi, Ltd. Energy saving system
US20100106328A1 (en) * 2007-07-17 2010-04-29 Johnson Controls Technology Company Extremum seeking control with reset control
US20100114383A1 (en) * 2008-09-03 2010-05-06 Siemens Building Technologies, Inc. Wireless building management system and method using a building model
US20100163633A1 (en) * 2008-12-30 2010-07-01 Aquante Llc Automatically Balancing Register for HVAC Systems
US20100198370A1 (en) * 2009-02-05 2010-08-05 Johnson Controls Technology Company Asymmetrical control system and method for energy savings in buildings
US20100250009A1 (en) * 2007-12-07 2010-09-30 Carrier Corporation Control of conditioned environment by remote sensor
US20100311317A1 (en) * 2009-06-08 2010-12-09 Mcreynolds Alan A Vent tile with an integrated thermal imaging sensor and controller
US20110029100A1 (en) * 2009-07-31 2011-02-03 Johnson Controls Technology Company Systems and methods for improved start-up in feedback controllers
US20110046798A1 (en) * 2009-08-21 2011-02-24 Imes Kevin R Energy Management System And Method
US20110054700A1 (en) * 2009-08-25 2011-03-03 Jetlun Corporation System for using a plurality of remote sensing devices for energy management
US20110106278A1 (en) * 2009-11-05 2011-05-05 Research In Motion Limited Method and apparatus for controlling a location automation system via a calendar database
US20110106314A1 (en) * 2009-10-30 2011-05-05 Abdlmonem Beitelmal Manipulating environmental conditions in an infrastructure
US20110130881A1 (en) * 2009-12-01 2011-06-02 Denso Wave Incorporated Central air-conditioning system
US20110130880A1 (en) * 2008-07-23 2011-06-02 Daikin Industries, Ltd. Group management apparatus and group management system
EP2330470A1 (en) * 2009-11-05 2011-06-08 Research In Motion Limited Method and apparatus for controlling a location automation system via a calendar database
US20110160877A1 (en) * 2009-12-30 2011-06-30 Honeywell International Inc. Approach for switching between point types without affecting control logic
US20110190945A1 (en) * 2010-01-29 2011-08-04 Sanyo Electric Co., Ltd. Air-conditioning control apparatus
US20110190909A1 (en) * 2010-02-01 2011-08-04 Johnson Controls Technology Company Systems and methods for increasing feedback controller response times
US20110186644A1 (en) * 2010-01-29 2011-08-04 Sanyo Electric Co., Ltd. Air-conditioning control apparatus
US20110199004A1 (en) * 2010-02-18 2011-08-18 Redwood Systems, Inc. Commissioning lighting systems
US20110202151A1 (en) * 2010-02-18 2011-08-18 Redwood Systems, Inc. Integration of computing device and lighting system
US8009013B1 (en) * 2007-09-21 2011-08-30 Precision Control Systems of Chicago, Inc. Access control system and method using user location information for controlling access to a restricted area
US20110231320A1 (en) * 2009-12-22 2011-09-22 Irving Gary W Energy management systems and methods
US20120015597A1 (en) * 2010-07-16 2012-01-19 U.S. Sunlight Corp. Method and Apparatus for Attic Fan Power Controller with Remote Control
US20120022702A1 (en) * 2010-07-23 2012-01-26 Jang Youngjo Air conditioner and method of controlling the same
US20120031984A1 (en) * 2010-08-03 2012-02-09 Massachusetts Institute Of Technology Personalized Building Comfort Control
CN102393771A (en) * 2011-08-08 2012-03-28 新邮通信设备有限公司 Energy-saving environment monitoring system
US20120109397A1 (en) * 2010-10-29 2012-05-03 Hanwha Solution & Consulting Co., Ltd Location-based smart energy management system using rfid and method thereof
US8203426B1 (en) 2007-07-11 2012-06-19 Precision Edge Access Control, Inc. Feed protocol used to report status and event information in physical access control system
US20120179299A1 (en) * 2009-09-17 2012-07-12 Tomoaki Gyota Air conditioner control device, air-conditioning system, facility/equipment system, air conditioner control method, and recording medium storing air conditioner control program
US20120179298A1 (en) * 2009-07-30 2012-07-12 Commissariat A L'energie Atomique Et Aux Energies Alternatives Energy management in a building
US20120209435A1 (en) * 2009-10-21 2012-08-16 Azbil Corporation Air-conditioning controlling device and method
US20120253521A1 (en) * 2011-03-31 2012-10-04 Trane International Inc. Systems and Methods For Controlling Multiple HVAC Systems
US20120323090A1 (en) * 2011-06-20 2012-12-20 Cerner Innovation, Inc. Ambient sensing of patient discomfort
WO2013048564A1 (en) * 2011-09-30 2013-04-04 Siemens Aktiengesellschaft System and method for providing a simulated window utilizing environmental controls operable within a building automation system
US20130085614A1 (en) * 2011-09-30 2013-04-04 Johnson Controls Technology Company Systems and methods for controlling energy use in a building management system using energy budgets
US20130085615A1 (en) * 2011-09-30 2013-04-04 Siemens Industry, Inc. System and device for patient room environmental control and method of controlling environmental conditions in a patient room
JP2013092327A (en) * 2011-10-27 2013-05-16 E & E Planning:Kk Air conditioning heat source system for building
WO2013049297A3 (en) * 2011-09-30 2013-08-15 Siemens Industry, Inc. Occupancy driven patient room environmental control
US20130209108A1 (en) * 2012-02-14 2013-08-15 Avaya Inc. System and method for personalized hoteling of mobile workers
US20130226359A1 (en) * 2012-02-27 2013-08-29 Siemens Corporation System and method of total cost optimization for buildings with hybrid ventilation
US8532808B2 (en) 2009-06-22 2013-09-10 Johnson Controls Technology Company Systems and methods for measuring and verifying energy savings in buildings
US8532839B2 (en) 2009-06-22 2013-09-10 Johnson Controls Technology Company Systems and methods for statistical control and fault detection in a building management system
US20130245841A1 (en) * 2010-06-26 2013-09-19 Junho AHN Method for controlling component for network system
US20130261804A1 (en) * 2011-08-25 2013-10-03 Siemens Industry, Inc. Interface for adjustment of portions of a building automation system
US20130274940A1 (en) * 2012-03-05 2013-10-17 Siemens Corporation Cloud enabled building automation system
US20130297055A1 (en) * 2012-05-04 2013-11-07 Fei Wang Network-based control method and system for controlling a whole-flow production process
US20130310987A1 (en) * 2010-11-08 2013-11-21 Alphaeos Ag Building automation system
US8600556B2 (en) 2009-06-22 2013-12-03 Johnson Controls Technology Company Smart building manager
US20130321637A1 (en) * 2009-03-02 2013-12-05 Flir Systems, Inc. Monitor and control systems and methods for occupant safety and energy efficiency of structures
US8655680B2 (en) 2011-06-20 2014-02-18 Cerner Innovation, Inc. Minimizing disruption during medication administration
US20140069131A1 (en) * 2012-09-13 2014-03-13 Mitsubishi Electric Corporation Air conditioning system
US8731724B2 (en) 2009-06-22 2014-05-20 Johnson Controls Technology Company Automated fault detection and diagnostics in a building management system
US20140148953A1 (en) * 2010-10-01 2014-05-29 Viridity Energy Dynamic loud modeling of a building's energy consumption for demand response applications
US8744631B2 (en) 2011-01-28 2014-06-03 Hewlett-Packard Development Company, L.P. Manipulating environmental conditions in an infrastructure
US8788097B2 (en) 2009-06-22 2014-07-22 Johnson Controls Technology Company Systems and methods for using rule-based fault detection in a building management system
US20140260409A1 (en) * 2013-03-12 2014-09-18 General Electric Company Control system for a dual evaporator refrigeration system
US20140277757A1 (en) * 2013-03-14 2014-09-18 Pelco, Inc. Method and apparatus for an energy saving heating, ventilation, and air conditioning (hvac) control system
US20140309755A1 (en) * 2011-11-03 2014-10-16 Oxford Brookes University Method Of Controlling A Dynamic Physical System That Exhibits A Chaotic Behaviour
US20140332195A1 (en) * 2012-01-12 2014-11-13 Lncon Systems Ltd. Chiller control
US20140371923A1 (en) * 2007-10-02 2014-12-18 Google Inc. Systems, methods and apparatus for weather-based preconditioning
US20140379141A1 (en) * 2013-06-19 2014-12-25 Nec Laboratories America, Inc. Zone based heating, ventilation and air-conditioning (hvac) control using extensive temperature monitoring
US20150013364A1 (en) * 2012-01-25 2015-01-15 BSH Bosch und Siemens Hausgeräte GmbH Refrigeration device with a refrigeration compartment
US20150032265A1 (en) * 2013-07-29 2015-01-29 Toshiba Global Commerce Solutions Holdings Corporation Environmental condition control and monitoring systems and methods
US20150088272A1 (en) * 2013-09-23 2015-03-26 Emerson Electric Co. Energy Management Based on Occupancy and Occupant Activity Level
US20150178865A1 (en) * 2011-09-20 2015-06-25 The Trustees Of Columbia University In The City Of New York Total property optimization system for energy efficiency and smart buildings
WO2015099721A1 (en) * 2013-12-26 2015-07-02 Schneider Electric Buildings, Llc System and method for controlling an environment
US9115908B2 (en) 2011-07-27 2015-08-25 Honeywell International Inc. Systems and methods for managing a programmable thermostat
WO2015089295A3 (en) * 2013-12-12 2015-09-17 University Of Florida Research Foundation, Inc. Comfortable, energy-efficient control of a heating, ventilation, and air conditioning system
US9157764B2 (en) 2011-07-27 2015-10-13 Honeywell International Inc. Devices, methods, and systems for occupancy detection
US9196009B2 (en) 2009-06-22 2015-11-24 Johnson Controls Technology Company Systems and methods for detecting changes in energy usage in a building
EP2853832A3 (en) * 2013-09-10 2015-12-02 Honeywell International Inc. Occupancy based energy optimization systems and methods
US9209652B2 (en) 2009-08-21 2015-12-08 Allure Energy, Inc. Mobile device with scalable map interface for zone based energy management
US9286582B2 (en) 2009-06-22 2016-03-15 Johnson Controls Technology Company Systems and methods for detecting changes in energy usage in a building
US9298203B2 (en) 2011-09-30 2016-03-29 Johnson Controls Technology Company Systems and methods for controlling energy use in a building management system using energy budgets
US20160116178A1 (en) * 2014-10-23 2016-04-28 Vivint, Inc. Real-time temperature management
US20160123614A1 (en) * 2014-10-30 2016-05-05 Honeywell International Inc. Variable airflow volume balancing using a variable airflow volume controller
US20160146489A1 (en) * 2014-11-24 2016-05-26 Intelisense, Inc. Vent apparatus and method
US9360874B2 (en) 2009-08-21 2016-06-07 Allure Energy, Inc. Energy management system and method
WO2016106287A1 (en) * 2014-12-22 2016-06-30 Trane International Inc. Occupancy sensing and building control using mobile devices
EP2914858A4 (en) * 2012-10-31 2016-07-06 Delta T Corp Integrated thermal comfort control system utilizing circulating fans
US9390388B2 (en) 2012-05-31 2016-07-12 Johnson Controls Technology Company Systems and methods for measuring and verifying energy usage in a building
WO2016148651A1 (en) * 2015-03-17 2016-09-22 Nanyang Technological University Method of operating a building environment management system
WO2016154686A1 (en) * 2015-04-02 2016-10-06 Csr Building Products Limited Method and apparatus for facilitating control of a building environment
EP2955815A4 (en) * 2013-02-05 2016-11-09 Mitsubishi Electric Corp Home-use power command device and home-use power control system
US20170016644A1 (en) * 2015-07-13 2017-01-19 Tata Consultancy Services Limited Method and system to optimize energy consumption in a zone with a multi-air handling unit (ahu) setup
US9572228B2 (en) 2010-02-18 2017-02-14 Redwood Systems, Inc. Commissioning lighting systems
US20170059191A1 (en) * 2015-08-26 2017-03-02 Honeywell International Inc. System and approach for validating conditions of a space
US20170068256A1 (en) * 2015-09-09 2017-03-09 Honeywell International Inc. System for optimizing control devices for a space environment
US9606520B2 (en) 2009-06-22 2017-03-28 Johnson Controls Technology Company Automated fault detection and diagnostics in a building management system
US9716530B2 (en) 2013-01-07 2017-07-25 Samsung Electronics Co., Ltd. Home automation using near field communication
US20170211838A1 (en) * 2016-01-21 2017-07-27 Vivint, Inc. Image based hvac
US9753455B2 (en) 2009-06-22 2017-09-05 Johnson Controls Technology Company Building management system with fault analysis
US20170254554A1 (en) * 2016-03-03 2017-09-07 Kabushiki Kaisha Toshiba Air conditioning control device, air conditioning control method and non-transitory computer readable medium
US9778639B2 (en) 2014-12-22 2017-10-03 Johnson Controls Technology Company Systems and methods for adaptively updating equipment models
US9800463B2 (en) 2009-08-21 2017-10-24 Samsung Electronics Co., Ltd. Mobile energy management system
WO2017189780A1 (en) * 2016-04-26 2017-11-02 buildpulse, Inc. Using estimated schedules and analysis of zone temperature to control airflow
WO2017218115A1 (en) * 2016-06-14 2017-12-21 Intel Corporation Home environment management method and apparatus
WO2017222994A1 (en) * 2016-06-21 2017-12-28 Barber Randal S System and method for a controlled environment
US9871937B2 (en) * 2016-03-11 2018-01-16 Fuji Xerox Co., Ltd. Control device, processing device, control method, and non-transitory computer readable medium
US9897338B2 (en) 2012-03-21 2018-02-20 Carrier Corporation Coordinated air-side control of HVAC system
WO2018035161A1 (en) * 2016-08-15 2018-02-22 Roberts Gould Llc Devices, systems and methods relating to hvac systems that provide an implicit partition between at least two abutting environments in a defined large open space
EP3236166A3 (en) * 2016-03-04 2018-04-04 Samsung Electronics Co., Ltd Control device for air conditioning and control method thereof
US9953474B2 (en) 2016-09-02 2018-04-24 Honeywell International Inc. Multi-level security mechanism for accessing a panel
US9998325B2 (en) 2012-04-11 2018-06-12 Google Llc Apparatus and method for seamless commissioning of wireless devices

Citations (40)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5156203A (en) * 1990-04-16 1992-10-20 Hitachi, Ltd. Air conditioning system
US5178191A (en) * 1990-09-05 1993-01-12 Newmatic Controls Inc. Modular pneumatic control systems
US5316073A (en) * 1993-04-02 1994-05-31 Johnson Service Company Twinning control
US5355305A (en) * 1992-10-29 1994-10-11 Johnson Service Company Pattern recognition adaptive controller
US5414640A (en) * 1991-07-05 1995-05-09 Johnson Service Company Method and apparatus for adaptive demand limiting electric consumption through load shedding
US5550752A (en) * 1994-02-25 1996-08-27 Johnson Service Company Method and apparatus for estimating the rate at which a gas is generated within a plurality of zones
US5555195A (en) * 1994-07-22 1996-09-10 Johnson Service Company Controller for use in an environment control network capable of storing diagnostic information
US5568377A (en) * 1992-10-29 1996-10-22 Johnson Service Company Fast automatic tuning of a feedback controller
US5682329A (en) * 1994-07-22 1997-10-28 Johnson Service Company On-line monitoring of controllers in an environment control network
US5762265A (en) * 1995-10-06 1998-06-09 Matsushita Electric Industrial Co., Ltd. Air-conditioning control unit
US5769315A (en) * 1997-07-08 1998-06-23 Johnson Service Co. Pressure dependent variable air volume control strategy
US5791408A (en) * 1996-02-12 1998-08-11 Johnson Service Company Air handling unit including control system that prevents outside air from entering the unit through an exhaust air damper
US5867384A (en) * 1997-07-08 1999-02-02 Johnson Services Company Feedback controller
US6006142A (en) * 1997-07-14 1999-12-21 Seem; John E. Environmental control system and method
US6033302A (en) * 1997-11-07 2000-03-07 Siemens Building Technologies, Inc. Room pressure control apparatus having feedforward and feedback control and method
US6095426A (en) * 1997-11-07 2000-08-01 Siemens Building Technologies Room temperature control apparatus having feedforward and feedback control and method
US6219590B1 (en) * 1998-04-03 2001-04-17 Johnson Controls Technology Co. State machine controller for operating variable air volume terminal units of an environmental control system
US6219950B1 (en) * 1999-10-12 2001-04-24 Chin-Tien Hsu Photo frame with mini-fan
US6223544B1 (en) * 1999-08-05 2001-05-01 Johnson Controls Technology Co. Integrated control and fault detection of HVAC equipment
US6296193B1 (en) * 1999-09-30 2001-10-02 Johnson Controls Technology Co. Controller for operating a dual duct variable air volume terminal unit of an environmental control system
US6369716B1 (en) * 2000-12-01 2002-04-09 Johnson Controls Technology Company System and method for controlling air quality in a room
US6389331B1 (en) * 1999-03-11 2002-05-14 Johnson Controls Technology Company Technique for monitoring performance of a facility management system
US6415617B1 (en) * 2001-01-10 2002-07-09 Johnson Controls Technology Company Model based economizer control of an air handling unit
US6477439B1 (en) * 1998-04-03 2002-11-05 Johnson Controls Technology Corporation Method of programming and executing object-oriented state machine logic in a controller
US6486778B2 (en) * 1999-12-17 2002-11-26 Siemens Building Technologies, Ag Presence detector and its application
US20030101009A1 (en) * 2001-10-30 2003-05-29 Johnson Controls Technology Company Apparatus and method for determining days of the week with similar utility consumption profiles
US6594554B1 (en) * 1999-07-28 2003-07-15 Johnson Controls Technology Company Apparatus and method for intelligent control of the fan speed of air-cooled condensers
US20030216837A1 (en) * 2002-03-08 2003-11-20 Daniel Reich Artificial environment control system
US20040133314A1 (en) * 2002-03-28 2004-07-08 Ehlers Gregory A. System and method of controlling an HVAC system
US6816811B2 (en) * 2001-06-21 2004-11-09 Johnson Controls Technology Company Method of intelligent data analysis to detect abnormal use of utilities in buildings
US20050004685A1 (en) * 2003-07-02 2005-01-06 Johnson Controls Technology Company Pattern recognition adaptive controller
US6862540B1 (en) * 2003-03-25 2005-03-01 Johnson Controls Technology Company System and method for filling gaps of missing data using source specified data
US20050101009A1 (en) * 2003-11-10 2005-05-12 Wilson John R. Compartmentalized device for cell culture, cell processing, and sample dialysis
US6916239B2 (en) * 2002-04-22 2005-07-12 Honeywell International, Inc. Air quality control system based on occupancy
US20050204818A1 (en) * 2004-03-22 2005-09-22 Johnson Controls Technology Company Determining amplitude limits for vibration spectra
US20060073794A1 (en) * 2004-09-17 2006-04-06 Stortoni Fabrizio F Arrangement and method for product information interaction with building control system elements
US7031880B1 (en) * 2004-05-07 2006-04-18 Johnson Controls Technology Company Method and apparatus for assessing performance of an environmental control system
US20080179409A1 (en) * 2007-01-30 2008-07-31 Johnson Controls Technology Company Adaptive real-time optimization control
US20080179408A1 (en) * 2007-01-30 2008-07-31 Johnson Controls Technology Company Sensor-free optimal control of air-side economizer
US7496472B2 (en) * 2007-01-25 2009-02-24 Johnson Controls Technology Company Method and system for assessing performance of control systems

Patent Citations (45)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5156203A (en) * 1990-04-16 1992-10-20 Hitachi, Ltd. Air conditioning system
US5178191A (en) * 1990-09-05 1993-01-12 Newmatic Controls Inc. Modular pneumatic control systems
US5414640A (en) * 1991-07-05 1995-05-09 Johnson Service Company Method and apparatus for adaptive demand limiting electric consumption through load shedding
US5506768A (en) * 1992-10-29 1996-04-09 Johnson Service Company Pattern recognition adaptive controller and method used in HVAC control
US5568377A (en) * 1992-10-29 1996-10-22 Johnson Service Company Fast automatic tuning of a feedback controller
US5355305A (en) * 1992-10-29 1994-10-11 Johnson Service Company Pattern recognition adaptive controller
US5316073A (en) * 1993-04-02 1994-05-31 Johnson Service Company Twinning control
US5550752A (en) * 1994-02-25 1996-08-27 Johnson Service Company Method and apparatus for estimating the rate at which a gas is generated within a plurality of zones
US5555195A (en) * 1994-07-22 1996-09-10 Johnson Service Company Controller for use in an environment control network capable of storing diagnostic information
US5682329A (en) * 1994-07-22 1997-10-28 Johnson Service Company On-line monitoring of controllers in an environment control network
US5762265A (en) * 1995-10-06 1998-06-09 Matsushita Electric Industrial Co., Ltd. Air-conditioning control unit
US5791408A (en) * 1996-02-12 1998-08-11 Johnson Service Company Air handling unit including control system that prevents outside air from entering the unit through an exhaust air damper
US5769315A (en) * 1997-07-08 1998-06-23 Johnson Service Co. Pressure dependent variable air volume control strategy
US5867384A (en) * 1997-07-08 1999-02-02 Johnson Services Company Feedback controller
US6122605A (en) * 1997-07-08 2000-09-19 Johnson Controls Technology Company Apparatus and method for filtering a digital signal
US6006142A (en) * 1997-07-14 1999-12-21 Seem; John E. Environmental control system and method
US6408228B1 (en) * 1997-07-14 2002-06-18 Johnson Controls Technology Company Hybrid finite state machine environmental system controller
US6033302A (en) * 1997-11-07 2000-03-07 Siemens Building Technologies, Inc. Room pressure control apparatus having feedforward and feedback control and method
US6095426A (en) * 1997-11-07 2000-08-01 Siemens Building Technologies Room temperature control apparatus having feedforward and feedback control and method
US6219590B1 (en) * 1998-04-03 2001-04-17 Johnson Controls Technology Co. State machine controller for operating variable air volume terminal units of an environmental control system
US6477439B1 (en) * 1998-04-03 2002-11-05 Johnson Controls Technology Corporation Method of programming and executing object-oriented state machine logic in a controller
US6389331B1 (en) * 1999-03-11 2002-05-14 Johnson Controls Technology Company Technique for monitoring performance of a facility management system
US6594554B1 (en) * 1999-07-28 2003-07-15 Johnson Controls Technology Company Apparatus and method for intelligent control of the fan speed of air-cooled condensers
US6223544B1 (en) * 1999-08-05 2001-05-01 Johnson Controls Technology Co. Integrated control and fault detection of HVAC equipment
US6296193B1 (en) * 1999-09-30 2001-10-02 Johnson Controls Technology Co. Controller for operating a dual duct variable air volume terminal unit of an environmental control system
US6219950B1 (en) * 1999-10-12 2001-04-24 Chin-Tien Hsu Photo frame with mini-fan
US6486778B2 (en) * 1999-12-17 2002-11-26 Siemens Building Technologies, Ag Presence detector and its application
US6369716B1 (en) * 2000-12-01 2002-04-09 Johnson Controls Technology Company System and method for controlling air quality in a room
US6415617B1 (en) * 2001-01-10 2002-07-09 Johnson Controls Technology Company Model based economizer control of an air handling unit
US6816811B2 (en) * 2001-06-21 2004-11-09 Johnson Controls Technology Company Method of intelligent data analysis to detect abnormal use of utilities in buildings
US20030101009A1 (en) * 2001-10-30 2003-05-29 Johnson Controls Technology Company Apparatus and method for determining days of the week with similar utility consumption profiles
US20030216837A1 (en) * 2002-03-08 2003-11-20 Daniel Reich Artificial environment control system
US20040133314A1 (en) * 2002-03-28 2004-07-08 Ehlers Gregory A. System and method of controlling an HVAC system
US6916239B2 (en) * 2002-04-22 2005-07-12 Honeywell International, Inc. Air quality control system based on occupancy
US6862540B1 (en) * 2003-03-25 2005-03-01 Johnson Controls Technology Company System and method for filling gaps of missing data using source specified data
US20050004685A1 (en) * 2003-07-02 2005-01-06 Johnson Controls Technology Company Pattern recognition adaptive controller
US6937909B2 (en) * 2003-07-02 2005-08-30 Johnson Controls Technology Company Pattern recognition adaptive controller
US20050101009A1 (en) * 2003-11-10 2005-05-12 Wilson John R. Compartmentalized device for cell culture, cell processing, and sample dialysis
US20050204818A1 (en) * 2004-03-22 2005-09-22 Johnson Controls Technology Company Determining amplitude limits for vibration spectra
US7124637B2 (en) * 2004-03-22 2006-10-24 Johnson Controls Technology Company Determining amplitude limits for vibration spectra
US7031880B1 (en) * 2004-05-07 2006-04-18 Johnson Controls Technology Company Method and apparatus for assessing performance of an environmental control system
US20060073794A1 (en) * 2004-09-17 2006-04-06 Stortoni Fabrizio F Arrangement and method for product information interaction with building control system elements
US7496472B2 (en) * 2007-01-25 2009-02-24 Johnson Controls Technology Company Method and system for assessing performance of control systems
US20080179409A1 (en) * 2007-01-30 2008-07-31 Johnson Controls Technology Company Adaptive real-time optimization control
US20080179408A1 (en) * 2007-01-30 2008-07-31 Johnson Controls Technology Company Sensor-free optimal control of air-side economizer

Cited By (199)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110056224A1 (en) * 2007-01-30 2011-03-10 Johnson Controls Technology Company Sensor-free optimal control of air-side economizer
US20080179409A1 (en) * 2007-01-30 2008-07-31 Johnson Controls Technology Company Adaptive real-time optimization control
US20110036108A1 (en) * 2007-01-30 2011-02-17 Johnson Controls Technology Company Adaptive real-time optimization control
US7827813B2 (en) * 2007-01-30 2010-11-09 Johnson Controls Technology Company Adaptive real-time optimization control
US8567204B2 (en) 2007-01-30 2013-10-29 Johnson Controls Technology Company Sensor-free optimal control of air-side economizer
US8096140B2 (en) 2007-01-30 2012-01-17 Johnson Controls Technology Company Adaptive real-time optimization control
US20080179408A1 (en) * 2007-01-30 2008-07-31 Johnson Controls Technology Company Sensor-free optimal control of air-side economizer
US8495888B2 (en) 2007-01-30 2013-07-30 Johnson Controls Technology Company Adaptive real-time optimization control
US20090065596A1 (en) * 2007-05-09 2009-03-12 Johnson Controls Technology Company Systems and methods for increasing building space comfort using wireless devices
US8203426B1 (en) 2007-07-11 2012-06-19 Precision Edge Access Control, Inc. Feed protocol used to report status and event information in physical access control system
US8694132B2 (en) 2007-07-17 2014-04-08 Johnson Controls Technology Company Extremum seeking control with actuator saturation control
US20100106331A1 (en) * 2007-07-17 2010-04-29 Johnson Controls Technology Company Extremum seeking control with actuator saturation control
US20100106328A1 (en) * 2007-07-17 2010-04-29 Johnson Controls Technology Company Extremum seeking control with reset control
US20090083583A1 (en) * 2007-07-17 2009-03-26 Johnson Controls Technology Company Fault detection systems and methods for self-optimizing heating, ventilation, and air conditioning controls
US8478433B2 (en) 2007-07-17 2013-07-02 Johnson Controls Technology Company Fault detection systems and methods for self-optimizing heating, ventilation, and air conditioning controls
US8200345B2 (en) 2007-07-17 2012-06-12 Johnson Controls Technology Company Extremum seeking control with actuator saturation control
US8666517B2 (en) 2007-07-17 2014-03-04 Johnson Controls Technology Company Extremum seeking control with reset control
US8200344B2 (en) 2007-07-17 2012-06-12 Johnson Controls Technology Company Extremum seeking control with reset control
US8027742B2 (en) 2007-07-17 2011-09-27 Johnson Controls Technology Company Fault detection systems and methods for self-optimizing heating, ventilation, and air conditioning controls
US8325637B2 (en) 2007-07-31 2012-12-04 Johnson Controls Technology Company Pairing wireless devices of a network using relative gain arrays
US8705423B2 (en) 2007-07-31 2014-04-22 Johnson Controls Technology Company Pairing wireless devices of a network using relative gain arrays
US20090067363A1 (en) * 2007-07-31 2009-03-12 Johnson Controls Technology Company System and method for communicating information from wireless sources to locations within a building
US8009013B1 (en) * 2007-09-21 2011-08-30 Precision Control Systems of Chicago, Inc. Access control system and method using user location information for controlling access to a restricted area
US7590469B2 (en) * 2007-10-02 2009-09-15 Lennox Manufacturing, Inc Method and apparatus for configuring a communicating environmental conditioning network
US9523993B2 (en) 2007-10-02 2016-12-20 Google Inc. Systems, methods and apparatus for monitoring and managing device-level energy consumption in a smart-home environment
US20140371923A1 (en) * 2007-10-02 2014-12-18 Google Inc. Systems, methods and apparatus for weather-based preconditioning
US9322565B2 (en) * 2007-10-02 2016-04-26 Google Inc. Systems, methods and apparatus for weather-based preconditioning
US20090088901A1 (en) * 2007-10-02 2009-04-02 Lennox Manufacturing, Inc., A Delaware Corporation Method and apparatus for configuring a communicating environmental conditioning network
US9600011B2 (en) 2007-10-02 2017-03-21 Google Inc. Intelligent temperature management based on energy usage profiles and outside weather conditions
US9500385B2 (en) 2007-10-02 2016-11-22 Google Inc. Managing energy usage
US20100004787A1 (en) * 2007-10-02 2010-01-07 Lennox Industries, Incorporated Method and apparatus for configuring a communicating environmental conditioning network
US7840311B2 (en) 2007-10-02 2010-11-23 Lennox Industries Inc Method and apparatus for configuring a communicating environmental conditioning network
US20100250009A1 (en) * 2007-12-07 2010-09-30 Carrier Corporation Control of conditioned environment by remote sensor
US8571717B2 (en) * 2008-07-23 2013-10-29 Daikin Industries, Ltd. Group management apparatus and group management system
US20110130880A1 (en) * 2008-07-23 2011-06-02 Daikin Industries, Ltd. Group management apparatus and group management system
US20100114383A1 (en) * 2008-09-03 2010-05-06 Siemens Building Technologies, Inc. Wireless building management system and method using a building model
US20100121613A1 (en) * 2008-09-03 2010-05-13 Siemens Building Technologies, Inc. Passive and Active Wireless Building Management System and Method
US8326465B2 (en) * 2008-09-03 2012-12-04 Siemens Industry, Inc. Wireless building management system and method using a building model
US8315839B2 (en) * 2008-09-03 2012-11-20 Siemens Industry, Inc. Passive and active wireless building management system and method
US8433935B2 (en) * 2008-09-25 2013-04-30 International Business Machines Corporation Energy management of remotely controllable devices associated with a workspace based on users scheduled activities in a calendar application and users' current network activities
US20100077241A1 (en) * 2008-09-25 2010-03-25 International Business Machines Corporation Business energy management based on user network access and calendar data
US9507362B2 (en) 2008-09-30 2016-11-29 Google Inc. Systems, methods and apparatus for encouraging energy conscious behavior based on aggregated third party energy consumption
US9507363B2 (en) 2008-09-30 2016-11-29 Google Inc. Systems, methods and apparatus for encouraging energy conscious behavior based on aggregated third party energy consumption
US20100094467A1 (en) * 2008-10-15 2010-04-15 Hitachi, Ltd. Energy saving system
US20100163633A1 (en) * 2008-12-30 2010-07-01 Aquante Llc Automatically Balancing Register for HVAC Systems
US8550370B2 (en) 2008-12-30 2013-10-08 Zoner Llc Automatically balancing register for HVAC systems
US8255085B2 (en) * 2009-02-05 2012-08-28 Johnson Controls Technology Company Asymmetrical control system and method for energy savings in buildings
US20100198370A1 (en) * 2009-02-05 2010-08-05 Johnson Controls Technology Company Asymmetrical control system and method for energy savings in buildings
US20130321637A1 (en) * 2009-03-02 2013-12-05 Flir Systems, Inc. Monitor and control systems and methods for occupant safety and energy efficiency of structures
US9948872B2 (en) * 2009-03-02 2018-04-17 Flir Systems, Inc. Monitor and control systems and methods for occupant safety and energy efficiency of structures
US8882572B2 (en) * 2009-06-08 2014-11-11 Hewlett-Packard Development Company, L.P. Vent tile with an integrated thermal imaging sensor and controller
US20100311317A1 (en) * 2009-06-08 2010-12-09 Mcreynolds Alan A Vent tile with an integrated thermal imaging sensor and controller
US9429927B2 (en) 2009-06-22 2016-08-30 Johnson Controls Technology Company Smart building manager
US9348392B2 (en) 2009-06-22 2016-05-24 Johnson Controls Technology Corporation Systems and methods for measuring and verifying energy savings in buildings
US9606520B2 (en) 2009-06-22 2017-03-28 Johnson Controls Technology Company Automated fault detection and diagnostics in a building management system
US8788097B2 (en) 2009-06-22 2014-07-22 Johnson Controls Technology Company Systems and methods for using rule-based fault detection in a building management system
US8731724B2 (en) 2009-06-22 2014-05-20 Johnson Controls Technology Company Automated fault detection and diagnostics in a building management system
US8532808B2 (en) 2009-06-22 2013-09-10 Johnson Controls Technology Company Systems and methods for measuring and verifying energy savings in buildings
US8600556B2 (en) 2009-06-22 2013-12-03 Johnson Controls Technology Company Smart building manager
US9286582B2 (en) 2009-06-22 2016-03-15 Johnson Controls Technology Company Systems and methods for detecting changes in energy usage in a building
US9639413B2 (en) 2009-06-22 2017-05-02 Johnson Controls Technology Company Automated fault detection and diagnostics in a building management system
US9196009B2 (en) 2009-06-22 2015-11-24 Johnson Controls Technology Company Systems and methods for detecting changes in energy usage in a building
US9069338B2 (en) 2009-06-22 2015-06-30 Johnson Controls Technology Company Systems and methods for statistical control and fault detection in a building management system
US9575475B2 (en) 2009-06-22 2017-02-21 Johnson Controls Technology Company Systems and methods for generating an energy usage model for a building
US9568910B2 (en) 2009-06-22 2017-02-14 Johnson Controls Technology Company Systems and methods for using rule-based fault detection in a building management system
US9753455B2 (en) 2009-06-22 2017-09-05 Johnson Controls Technology Company Building management system with fault analysis
US8532839B2 (en) 2009-06-22 2013-09-10 Johnson Controls Technology Company Systems and methods for statistical control and fault detection in a building management system
US20120179298A1 (en) * 2009-07-30 2012-07-12 Commissariat A L'energie Atomique Et Aux Energies Alternatives Energy management in a building
US9448550B2 (en) * 2009-07-30 2016-09-20 Commissariat A L'energie Atomique Et Aux Energies Alternatives Energy management in a building
US8781608B2 (en) 2009-07-31 2014-07-15 Johnson Controls Technology Company Systems and methods for improved start-up in feedback controllers
US20110029100A1 (en) * 2009-07-31 2011-02-03 Johnson Controls Technology Company Systems and methods for improved start-up in feedback controllers
US8855830B2 (en) * 2009-08-21 2014-10-07 Allure Energy, Inc. Energy management system and method
US9405310B2 (en) 2009-08-21 2016-08-02 Allure Energy Inc. Energy management method
US9360874B2 (en) 2009-08-21 2016-06-07 Allure Energy, Inc. Energy management system and method
US9766645B2 (en) 2009-08-21 2017-09-19 Samsung Electronics Co., Ltd. Energy management system and method
US9800463B2 (en) 2009-08-21 2017-10-24 Samsung Electronics Co., Ltd. Mobile energy management system
US9838255B2 (en) 2009-08-21 2017-12-05 Samsung Electronics Co., Ltd. Mobile demand response energy management system with proximity control
US9874891B2 (en) 2009-08-21 2018-01-23 Samsung Electronics Co., Ltd. Auto-adaptable energy management apparatus
US9964981B2 (en) 2009-08-21 2018-05-08 Samsung Electronics Co., Ltd. Energy management system and method
US8571518B2 (en) 2009-08-21 2013-10-29 Allure Energy, Inc. Proximity detection module on thermostat
US9977440B2 (en) 2009-08-21 2018-05-22 Samsung Electronics Co., Ltd. Establishing proximity detection using 802.11 based networks
US20110046798A1 (en) * 2009-08-21 2011-02-24 Imes Kevin R Energy Management System And Method
US9209652B2 (en) 2009-08-21 2015-12-08 Allure Energy, Inc. Mobile device with scalable map interface for zone based energy management
US8626344B2 (en) 2009-08-21 2014-01-07 Allure Energy, Inc. Energy management system and method
US8855794B2 (en) 2009-08-21 2014-10-07 Allure Energy, Inc. Energy management system and method, including auto-provisioning capability using near field communication
US9164524B2 (en) 2009-08-21 2015-10-20 Allure Energy, Inc. Method of managing a site using a proximity detection module
US20110054700A1 (en) * 2009-08-25 2011-03-03 Jetlun Corporation System for using a plurality of remote sensing devices for energy management
US9074786B2 (en) * 2009-09-17 2015-07-07 Mitsubishi Electric Corporation Air conditioner control device, air-conditioning system, facility/equipment system, air conditioner control method, and recording medium storing air conditioner control program
US20120179299A1 (en) * 2009-09-17 2012-07-12 Tomoaki Gyota Air conditioner control device, air-conditioning system, facility/equipment system, air conditioner control method, and recording medium storing air conditioner control program
US9200813B2 (en) * 2009-10-21 2015-12-01 Azbil Corporation Air-conditioning controlling device and method
US20120209435A1 (en) * 2009-10-21 2012-08-16 Azbil Corporation Air-conditioning controlling device and method
US8639651B2 (en) 2009-10-30 2014-01-28 Hewlett-Packard Development Company, L. P. Manipulating environmental conditions in an infrastructure
US20110106314A1 (en) * 2009-10-30 2011-05-05 Abdlmonem Beitelmal Manipulating environmental conditions in an infrastructure
US20110106278A1 (en) * 2009-11-05 2011-05-05 Research In Motion Limited Method and apparatus for controlling a location automation system via a calendar database
EP2330470A1 (en) * 2009-11-05 2011-06-08 Research In Motion Limited Method and apparatus for controlling a location automation system via a calendar database
US8812136B2 (en) 2009-11-05 2014-08-19 Blackberry Limited Method and apparatus for controlling a location automation system via a calendar database
US20110130881A1 (en) * 2009-12-01 2011-06-02 Denso Wave Incorporated Central air-conditioning system
US8219252B2 (en) * 2009-12-01 2012-07-10 Denso Wave Incorporated Central air-conditioning system
US20110231320A1 (en) * 2009-12-22 2011-09-22 Irving Gary W Energy management systems and methods
US20110160877A1 (en) * 2009-12-30 2011-06-30 Honeywell International Inc. Approach for switching between point types without affecting control logic
US9244450B2 (en) * 2009-12-30 2016-01-26 Honeywell International Inc. Approach for switching between point types without affecting control logic
US9388997B2 (en) * 2010-01-20 2016-07-12 Panasonic Intellectual Property Management Co., Ltd. Air-conditioning control apparatus
JP2011158154A (en) * 2010-01-29 2011-08-18 Sanyo Electric Co Ltd Air-conditioning control apparatus
US20110186644A1 (en) * 2010-01-29 2011-08-04 Sanyo Electric Co., Ltd. Air-conditioning control apparatus
US20110190945A1 (en) * 2010-01-29 2011-08-04 Sanyo Electric Co., Ltd. Air-conditioning control apparatus
US8428755B2 (en) 2010-02-01 2013-04-23 Johnson Controls Technology Company Systems and methods for increasing feedback controller response times
US20110190909A1 (en) * 2010-02-01 2011-08-04 Johnson Controls Technology Company Systems and methods for increasing feedback controller response times
US8981913B2 (en) 2010-02-18 2015-03-17 Redwood Systems, Inc. Commissioning lighting systems
US8706271B2 (en) * 2010-02-18 2014-04-22 Redwood Systems, Inc. Integration of computing device and lighting system
US9572228B2 (en) 2010-02-18 2017-02-14 Redwood Systems, Inc. Commissioning lighting systems
US20110202151A1 (en) * 2010-02-18 2011-08-18 Redwood Systems, Inc. Integration of computing device and lighting system
US20110199004A1 (en) * 2010-02-18 2011-08-18 Redwood Systems, Inc. Commissioning lighting systems
US20130245841A1 (en) * 2010-06-26 2013-09-19 Junho AHN Method for controlling component for network system
US9182138B2 (en) * 2010-07-16 2015-11-10 Air Vent, Inc. Method and apparatus for attic fan power controller with remote control
US20120015597A1 (en) * 2010-07-16 2012-01-19 U.S. Sunlight Corp. Method and Apparatus for Attic Fan Power Controller with Remote Control
US8442694B2 (en) * 2010-07-23 2013-05-14 Lg Electronics Inc. Distribution of airflow in an HVAC system to optimize energy efficiency and temperature differentials
US20120022702A1 (en) * 2010-07-23 2012-01-26 Jang Youngjo Air conditioner and method of controlling the same
US20120031984A1 (en) * 2010-08-03 2012-02-09 Massachusetts Institute Of Technology Personalized Building Comfort Control
US9857808B2 (en) * 2010-10-01 2018-01-02 Drexel University Dynamic load modeling of a building's energy consumption for demand response applications
US20140148953A1 (en) * 2010-10-01 2014-05-29 Viridity Energy Dynamic loud modeling of a building's energy consumption for demand response applications
US20120109397A1 (en) * 2010-10-29 2012-05-03 Hanwha Solution & Consulting Co., Ltd Location-based smart energy management system using rfid and method thereof
CN102468999A (en) * 2010-10-29 2012-05-23 爱思伟尔有限公司 Location-based smart energy management system using RFID and method thereof
US20130310987A1 (en) * 2010-11-08 2013-11-21 Alphaeos Ag Building automation system
US8744631B2 (en) 2011-01-28 2014-06-03 Hewlett-Packard Development Company, L.P. Manipulating environmental conditions in an infrastructure
US20120253521A1 (en) * 2011-03-31 2012-10-04 Trane International Inc. Systems and Methods For Controlling Multiple HVAC Systems
US9494952B2 (en) * 2011-03-31 2016-11-15 Trane International Inc. Systems and methods for controlling multiple HVAC systems
US8655680B2 (en) 2011-06-20 2014-02-18 Cerner Innovation, Inc. Minimizing disruption during medication administration
US8727981B2 (en) * 2011-06-20 2014-05-20 Cerner Innovation, Inc. Ambient sensing of patient discomfort
US20120323090A1 (en) * 2011-06-20 2012-12-20 Cerner Innovation, Inc. Ambient sensing of patient discomfort
US9832034B2 (en) 2011-07-27 2017-11-28 Honeywell International Inc. Systems and methods for managing a programmable thermostat
US9157764B2 (en) 2011-07-27 2015-10-13 Honeywell International Inc. Devices, methods, and systems for occupancy detection
US9115908B2 (en) 2011-07-27 2015-08-25 Honeywell International Inc. Systems and methods for managing a programmable thermostat
CN102393771A (en) * 2011-08-08 2012-03-28 新邮通信设备有限公司 Energy-saving environment monitoring system
US20130261804A1 (en) * 2011-08-25 2013-10-03 Siemens Industry, Inc. Interface for adjustment of portions of a building automation system
US20150178865A1 (en) * 2011-09-20 2015-06-25 The Trustees Of Columbia University In The City Of New York Total property optimization system for energy efficiency and smart buildings
WO2013048564A1 (en) * 2011-09-30 2013-04-04 Siemens Aktiengesellschaft System and method for providing a simulated window utilizing environmental controls operable within a building automation system
US20130085615A1 (en) * 2011-09-30 2013-04-04 Siemens Industry, Inc. System and device for patient room environmental control and method of controlling environmental conditions in a patient room
US9322566B2 (en) 2011-09-30 2016-04-26 Johnson Controls Technology Company Systems and methods for controlling energy use during a demand limiting period
US9298203B2 (en) 2011-09-30 2016-03-29 Johnson Controls Technology Company Systems and methods for controlling energy use in a building management system using energy budgets
WO2013049336A3 (en) * 2011-09-30 2013-06-20 Siemens Industry, Inc. System and device for patient room environmental control and method of controlling environmental conditions in a patient room
US8843238B2 (en) * 2011-09-30 2014-09-23 Johnson Controls Technology Company Systems and methods for controlling energy use in a building management system using energy budgets
WO2013049297A3 (en) * 2011-09-30 2013-08-15 Siemens Industry, Inc. Occupancy driven patient room environmental control
US20130085614A1 (en) * 2011-09-30 2013-04-04 Johnson Controls Technology Company Systems and methods for controlling energy use in a building management system using energy budgets
JP2013092327A (en) * 2011-10-27 2013-05-16 E & E Planning:Kk Air conditioning heat source system for building
US20140309755A1 (en) * 2011-11-03 2014-10-16 Oxford Brookes University Method Of Controlling A Dynamic Physical System That Exhibits A Chaotic Behaviour
US9740180B2 (en) * 2011-11-03 2017-08-22 Oxford Brookes University Method of controlling a dynamic physical system that exhibits a chaotic behaviour
US20140332195A1 (en) * 2012-01-12 2014-11-13 Lncon Systems Ltd. Chiller control
US9927190B2 (en) * 2012-01-12 2018-03-27 Lacon Systems Ltd. Method of controlling a chiller
US20150013364A1 (en) * 2012-01-25 2015-01-15 BSH Bosch und Siemens Hausgeräte GmbH Refrigeration device with a refrigeration compartment
US20130209108A1 (en) * 2012-02-14 2013-08-15 Avaya Inc. System and method for personalized hoteling of mobile workers
US9892472B2 (en) * 2012-02-27 2018-02-13 Siemens Corporation Cost optimization for buildings with hybrid ventilation systems
US20130226359A1 (en) * 2012-02-27 2013-08-29 Siemens Corporation System and method of total cost optimization for buildings with hybrid ventilation
US9535411B2 (en) * 2012-03-05 2017-01-03 Siemens Aktiengesellschaft Cloud enabled building automation system
US20130274940A1 (en) * 2012-03-05 2013-10-17 Siemens Corporation Cloud enabled building automation system
US9897338B2 (en) 2012-03-21 2018-02-20 Carrier Corporation Coordinated air-side control of HVAC system
US9998325B2 (en) 2012-04-11 2018-06-12 Google Llc Apparatus and method for seamless commissioning of wireless devices
US20130297055A1 (en) * 2012-05-04 2013-11-07 Fei Wang Network-based control method and system for controlling a whole-flow production process
US9390388B2 (en) 2012-05-31 2016-07-12 Johnson Controls Technology Company Systems and methods for measuring and verifying energy usage in a building
US20140069131A1 (en) * 2012-09-13 2014-03-13 Mitsubishi Electric Corporation Air conditioning system
JPWO2014041896A1 (en) * 2012-09-13 2016-08-18 三菱電機株式会社 Air conditioning system
EP2914858A4 (en) * 2012-10-31 2016-07-06 Delta T Corp Integrated thermal comfort control system utilizing circulating fans
US9716530B2 (en) 2013-01-07 2017-07-25 Samsung Electronics Co., Ltd. Home automation using near field communication
EP2955815A4 (en) * 2013-02-05 2016-11-09 Mitsubishi Electric Corp Home-use power command device and home-use power control system
US9453661B2 (en) * 2013-03-12 2016-09-27 Haier US Appliance Solutions, Inc Control system for a dual evaporator refrigeration system
US20140260409A1 (en) * 2013-03-12 2014-09-18 General Electric Company Control system for a dual evaporator refrigeration system
US9791872B2 (en) * 2013-03-14 2017-10-17 Pelco, Inc. Method and apparatus for an energy saving heating, ventilation, and air conditioning (HVAC) control system
WO2014150895A1 (en) * 2013-03-14 2014-09-25 Pelco, Inc. Energy saving heating, ventilation, air conditioning control system
US20140277757A1 (en) * 2013-03-14 2014-09-18 Pelco, Inc. Method and apparatus for an energy saving heating, ventilation, and air conditioning (hvac) control system
US9719690B2 (en) * 2013-06-19 2017-08-01 Nec Corporation Zone based heating, ventilation and air-conditioning (HVAC) control using extensive temperature monitoring
US20140379141A1 (en) * 2013-06-19 2014-12-25 Nec Laboratories America, Inc. Zone based heating, ventilation and air-conditioning (hvac) control using extensive temperature monitoring
US20150032265A1 (en) * 2013-07-29 2015-01-29 Toshiba Global Commerce Solutions Holdings Corporation Environmental condition control and monitoring systems and methods
US9689583B2 (en) 2013-09-10 2017-06-27 Honeywell International Inc. Occupancy based energy optimization systems and methods
EP2853832A3 (en) * 2013-09-10 2015-12-02 Honeywell International Inc. Occupancy based energy optimization systems and methods
US20150088272A1 (en) * 2013-09-23 2015-03-26 Emerson Electric Co. Energy Management Based on Occupancy and Occupant Activity Level
WO2015089295A3 (en) * 2013-12-12 2015-09-17 University Of Florida Research Foundation, Inc. Comfortable, energy-efficient control of a heating, ventilation, and air conditioning system
CN105980782A (en) * 2013-12-26 2016-09-28 施耐德电气建筑有限公司 System and method for controlling an environment
WO2015099721A1 (en) * 2013-12-26 2015-07-02 Schneider Electric Buildings, Llc System and method for controlling an environment
US9982906B2 (en) * 2014-10-23 2018-05-29 Vivint, Inc. Real-time temperature management
US20160116178A1 (en) * 2014-10-23 2016-04-28 Vivint, Inc. Real-time temperature management
US20160123614A1 (en) * 2014-10-30 2016-05-05 Honeywell International Inc. Variable airflow volume balancing using a variable airflow volume controller
US9939168B2 (en) * 2014-10-30 2018-04-10 Honeywell International Inc. Variable airflow volume balancing using a variable airflow volume controller
US20160146489A1 (en) * 2014-11-24 2016-05-26 Intelisense, Inc. Vent apparatus and method
US9778639B2 (en) 2014-12-22 2017-10-03 Johnson Controls Technology Company Systems and methods for adaptively updating equipment models
WO2016106287A1 (en) * 2014-12-22 2016-06-30 Trane International Inc. Occupancy sensing and building control using mobile devices
WO2016148651A1 (en) * 2015-03-17 2016-09-22 Nanyang Technological University Method of operating a building environment management system
WO2016154686A1 (en) * 2015-04-02 2016-10-06 Csr Building Products Limited Method and apparatus for facilitating control of a building environment
US20170016644A1 (en) * 2015-07-13 2017-01-19 Tata Consultancy Services Limited Method and system to optimize energy consumption in a zone with a multi-air handling unit (ahu) setup
US20170059191A1 (en) * 2015-08-26 2017-03-02 Honeywell International Inc. System and approach for validating conditions of a space
US20170068256A1 (en) * 2015-09-09 2017-03-09 Honeywell International Inc. System for optimizing control devices for a space environment
US20170211838A1 (en) * 2016-01-21 2017-07-27 Vivint, Inc. Image based hvac
US20170254554A1 (en) * 2016-03-03 2017-09-07 Kabushiki Kaisha Toshiba Air conditioning control device, air conditioning control method and non-transitory computer readable medium
EP3236166A3 (en) * 2016-03-04 2018-04-04 Samsung Electronics Co., Ltd Control device for air conditioning and control method thereof
US9871937B2 (en) * 2016-03-11 2018-01-16 Fuji Xerox Co., Ltd. Control device, processing device, control method, and non-transitory computer readable medium
WO2017189780A1 (en) * 2016-04-26 2017-11-02 buildpulse, Inc. Using estimated schedules and analysis of zone temperature to control airflow
WO2017218115A1 (en) * 2016-06-14 2017-12-21 Intel Corporation Home environment management method and apparatus
US9905126B2 (en) 2016-06-14 2018-02-27 Intel Corporation Home environment management method and apparatus
WO2017222994A1 (en) * 2016-06-21 2017-12-28 Barber Randal S System and method for a controlled environment
WO2018035161A1 (en) * 2016-08-15 2018-02-22 Roberts Gould Llc Devices, systems and methods relating to hvac systems that provide an implicit partition between at least two abutting environments in a defined large open space
US9953474B2 (en) 2016-09-02 2018-04-24 Honeywell International Inc. Multi-level security mechanism for accessing a panel

Similar Documents

Publication Publication Date Title
Klein et al. Coordinating occupant behavior for building energy and comfort management using multi-agent systems
Schiavon et al. Energy saving and improved comfort by increased air movement
Hoyt et al. Extending air temperature setpoints: Simulated energy savings and design considerations for new and retrofit buildings
Morrissey et al. Affordable passive solar design in a temperate climate: An experiment in residential building orientation
US7640760B2 (en) Temperature control using a sensor network
Aswani et al. Reducing transient and steady state electricity consumption in HVAC using learning-based model-predictive control
US20120065783A1 (en) Thermodynamic modeling for enclosures
US20120130548A1 (en) Computational load distribution in a climate control system having plural sensing microsystems
Saelens et al. Energy and comfort performance of thermally activated building systems including occupant behavior
Hong Occupant behavior: impact on energy use of private offices
US20060225446A1 (en) Cooling provisioning for heat generating devices
US20100235004A1 (en) Predictive Conditioning In Occupancy Zones
US20100307733A1 (en) Hvac system and zone control unit
US20100057259A1 (en) System and method for dynamically managing blowers and vents
Wright et al. Optimization of building thermal design and control by multi-criterion genetic algorithm
US7147168B1 (en) Zone control of space conditioning system with varied uses
US20140365017A1 (en) Methods and systems for optimized hvac operation
Mossolly et al. Optimal control strategy for a multi-zone air conditioning system using a genetic algorithm
Xu et al. A model-based optimal ventilation control strategy of multi-zone VAV air-conditioning systems
US20110253796A1 (en) Zone-based hvac system
US20030216837A1 (en) Artificial environment control system
US20120016526A1 (en) Heating, Ventilation, and Air Conditioning Management System and Method
US20100262298A1 (en) System and Method for Climate Control Set-Point Optimization Based On Individual Comfort
US7839275B2 (en) Methods, systems and computer program products for controlling a climate in a building
US20130231792A1 (en) System and Method of Energy Management Control

Legal Events

Date Code Title Description
AS Assignment

Owner name: JOHNSON CONTROLS TECHNOLOGY COMPANY, MICHIGAN

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:SEEM, JOHN E.;CANADA, ANDERLYNE M.;REEL/FRAME:019366/0106;SIGNING DATES FROM 20070502 TO 20070503