JP2008025908A - Optimization control support system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an optimization control support system, capable of supporting optimization control of various pieces of facility equipment in a customer facility at low cost. <P>SOLUTION: Air conditioning equipment, ventilation equipment, electric equipment or the like in the customer facility 12 is subjected to monitoring and control by a central monitoring device 20. A local server 30 set in the customer facility 12 collects and accumulates data necessary for energy management from the central monitoring device 20. On the other hand, a center server 40 is set in a service providing facility 10 which provides services for energy management. The center server 40 is connected with the local server 30 through a communication network such as ISDN or IP-VPN. The center server 40 acquires the data from the local server 30 of the customer facility 12, calculates an optimization control parameter for minimizing energy consumption in each of the equipment by optimization simulation, and provides the control parameter to the customer facility 12. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to an optimization control support system, and more particularly to an optimization control support system that supports optimization control of equipment such as air conditioning equipment in a facility such as a commercial building.

  In recent years, building and energy management systems (BEMS) have been introduced in commercial buildings and the like. BEMS targets building equipment such as air conditioning equipment, lighting equipment, disaster prevention equipment, and crime prevention equipment in the facility, and monitors the indoor environment, energy consumption status, operating status of each equipment, etc. with various sensors and meters. It is known to perform optimal operation management and control of facility equipment, and the BEMS optimizes the indoor environment and energy performance. In recent years, the importance of energy management by BEMS has increased along with the importance of energy saving due to consideration for the global environment.

Further, in Patent Document 1, with respect to control of air conditioning equipment, optimization control that enables real-time monitoring of indoor loads, equipment operating conditions, etc., and operation in a state where the most energy-saving effect is obtained using an optimization simulator A system has been proposed.
Japanese Patent No. 3783859

  However, if an optimization control system as described above is to be introduced at each customer facility, an optimization simulator for performing optimization control is required for each customer facility, which increases initial costs and maintenance costs. was there. Moreover, since it is necessary to dispatch a specialist who can maintain the optimization simulator to each customer facility, there is a problem that the human cost and the human burden increase.

  The present invention has been made in view of such circumstances, and an object thereof is to provide an optimization control support system that can support optimization control of each equipment of a customer facility at a low cost.

  In order to achieve the object, the optimization control support system according to claim 1 is installed in each customer facility in a plurality of customer facilities, and operates each equipment device of a predetermined facility installed in each customer facility. Data collection means for collecting data relating to the state, customer-side data communication means installed at each customer facility and connected to an external facility through a communication network, installed at a service providing facility, and through the communication network Service providing side data communication means communicably connected to customer side data communication means of each customer facility, installed in the service providing facility, the customer side data communication means, the communication network, and the service providing side Data acquisition means for acquiring data collected by the data collection means through data communication means; and The facility is installed in a service providing facility, and the facility is configured so that at least one of energy consumption, operation cost, and amount of emitted carbon dioxide in the facility of each customer facility is minimized based on the data acquired by the data acquisition means. Optimization control parameter calculation means for calculating control parameters for controlling each of the equipment, and the service providing side data communication means, the communication network, and the customer side data communication means installed at each customer facility And control parameter acquisition means for acquiring the control parameter calculated by the optimization control parameter calculation means.

  According to the present invention, computation for performing optimization control of equipment in a plurality of customer facilities can be performed by one computer (optimization simulator) installed in the service providing facility. There is no need to introduce an optimization simulator, and initial costs and maintenance costs can be reduced. Further, it is not necessary to dispatch a specialist to each customer facility, and one specialist can manage a plurality of customer facilities in the service providing facility, so that human costs and burdens are reduced.

  An optimization control support system according to a second aspect is the invention according to the first aspect, wherein each facility of the facility is controlled based on the control parameter acquired by the control parameter acquisition means in each customer facility. Or a display means for displaying information indicating the control content by the control parameter acquired by the control parameter acquisition means.

  The present invention shows a specific form of effectively using the control parameters provided by the optimization simulator of the service providing facility at each customer facility, and each equipment is controlled automatically or semi-automatically by the control parameter. The control provided from the service providing facility may be configured such that the equipment manager or the like changes the control content of each equipment device by displaying information indicating the control content according to the control parameter. Parameters can be used effectively.

  The optimization control support system according to claim 3 is the invention according to claim 1 or 2, wherein each customer facility is installed in the service providing facility according to the control parameter calculated by the optimization control parameter calculation means. Energy consumption calculating means for calculating a theoretical value of energy consumption when each equipment device of the equipment is controlled, and installed at each customer facility, the service providing side data communication means, the communication network, and the customer Energy consumption theoretical value acquisition means for acquiring the theoretical value of energy consumption calculated by the energy consumption calculation means through the side data communication means, and based on the data collected by the data collection means installed in each customer facility And calculating an actual measured value of energy consumption in the facility and Comparing the theoretical values of the energy consumption obtained by the logical value obtaining means, and the energy consumption wasted value calculating means for calculating the difference as waste value of energy consumption, comprising the.

  According to the present invention, in each customer facility, it is possible to quantitatively grasp the wasteful energy consumption by comparing the theoretical value of the energy consumption when performing the optimization control of the equipment and the actual measurement value, for example, From this result, it is possible to quantitatively grasp the degree of deterioration of the equipment.

  The optimization control support system according to a fourth aspect is the invention according to the first, second, or third aspect, wherein the predetermined equipment installed in each customer facility is an air conditioning equipment. The present invention limits the object of optimization control support to air conditioning equipment, and is effective because it can contribute to energy saving and the like even if it is support for optimization control related to specific equipment as in the present invention.

  According to the optimization control support system according to the present invention, it is possible to support the optimization control of each equipment of the customer facility at a low cost.

  The best mode for carrying out an optimization control support system according to the present invention will be described below in detail with reference to the accompanying drawings.

  FIG. 1 is a system configuration diagram showing the overall configuration of a building management system to which the present invention is applied. The facility management system shown in FIG. 1 is constructed by a service providing facility 10 of a supplier that provides a service related to optimization control support and the like, and a customer facility 12 that receives the service. In the figure, a management system is constructed between one service providing facility 10 and one customer facility 12, but actually there are a plurality of customer facilities, and the service providing facility 10 side constituting the management system has a side. Equipment (center server 40 etc.) is shared by a plurality of customer facilities.

  In the figure, building facilities such as gas equipment, sanitary equipment, electrical equipment, ventilation equipment, air conditioning equipment, power receiving equipment, etc. are installed in a required place in a customer facility 12 with a required equipment configuration. Further, a central monitoring device 20 is installed in the customer facility 12, and components (equipment devices) in each facility are communicably connected to the central monitoring device 20 via an in-facility communication network such as a LAN. The central monitoring device 20 performs processing necessary for daily facility management, and the central monitoring device 20 monitors and controls the operating state of the equipment of each facility. Thereby, a facility (building) management system 14 that has been conventionally applied to buildings and the like is constructed between the central monitoring device 20 and each facility.

  The customer facility 12 is provided with a local server 30 connected to the in-facility communication network of the facility management system 14. The local server 30 has, for example, a general computer hardware configuration, and has a function as a WWW server, a function as an energy monitoring device, and the like by a software program executed on the computer.

  According to the function of the WWW server, for example, it is possible to communicate with an external computer or the like via a communication network (communication line) communicating with the outside of the customer facility 12 such as IP-VPN, ISDN, or the Internet. As described later, this function enables communication with the center server 40 of the service providing facility 10 to receive services such as support (described later) related to optimization control provided by the service providing facility 10.

  According to the function of the energy monitoring apparatus, the following processing is mainly executed by the local server 30, and a BEMS (Building and Energy Management System) is built in the customer facility 12 by this function. First, on-site data necessary for energy management and the like is collected and accumulated in the local server 30 from the facility management system 14. The on-site data includes data relating to the operating state and indoor environment of each equipment in the customer facility 12, such as data obtained by meters and sensors installed in each equipment and equipment.

  Further, calculation processing of information relating to energy consumption in the customer facility 12 is performed based on the collected and accumulated on-site data, and the information is provided to facility managers and facility users. For example, on the monitor of the local server 30, the energy consumption of the entire facility and the energy consumption classified by use, system, or floor are displayed in a graph as shown in FIG. The facility manager can grasp the current state of energy consumption in the customer facility 12 based on the energy information. Also from the facility user computer 32 connected to the in-facility communication network, it is possible to access the local server 30 and confirm energy information similar to that of the local server 30 on the monitor.

  On the other hand, a center server 40 is installed in the service providing facility 10 that provides services, and is connected to the local server 30 in the customer facility 12 through a communication network. The center server 40 has, for example, a general computer hardware configuration, and the following processing is executed by a software program executed on the computer.

  First, in response to a data transmission request to the local server 30 in the customer facility 12, field data collected and stored in the local server 30 is transmitted to the center server 40 through the communication network and acquired. Thereby, the site data of the customer facility 12 is collected and accumulated in the center server 40. The center server 40 performs various calculations and analysis based on the collected data, and performs functional analysis and evaluation of each facility in the customer facility 12. The contents of the analysis and evaluation include energy consumption at the customer facility 12, operating cost, energy saving effect, comfort of the indoor environment, various efficiency (heat source COP, etc.), operation / control state, and the like. The results of the analysis and evaluation are displayed on the monitor of the center server 40 so that a specialist operating the center server 40 can grasp the situation of the customer facility 12. Further, the center server 40 can also create a report for reporting the results of analysis and evaluation to the owner of the customer facility 12 and the equipment manager.

  The center server 40 not only performs analysis and evaluation, but also optimizes the equipment of the customer facility 12 for the purpose of improving the comfort of the indoor environment, energy saving, cost saving, peak cut, environmental load reduction, and the like. Information for supporting control is transmitted from the center server 40 to the local server 30, and the customer facility 12 can receive support for optimizing control of each equipment from the service providing facility 10.

  Next, optimization control support will be described by taking as an example a case where the air conditioning equipment of the customer facility 12 is particularly targeted.

  As described above, when the center server 40 of the service providing facility 10 acquires field data from the local server 12 of the customer facility 12 through the communication network, the center server 40 grasps the indoor load and the operation status of each device, and performs an optimization simulation (optimization calculation). ), For example, a control parameter is calculated so as to obtain an operation state in which the most energy saving effect is obtained. The control parameter is a value that directly or indirectly determines the operating state (operation) of each facility device. The number of operating heat source devices and the set value set in each facility device and the device that controls each facility device are determined. Show. The function of the center server 40 that performs such optimization simulation or the center server 40 itself is called an optimization simulator. The optimization simulator may be implemented by a computer that can communicate with the center server 40 in the service providing facility 10 and can share necessary data with the center server 40.

  The optimization control in the air conditioning equipment will be described in detail with reference to FIG. Assuming that the indoor thermal environment is maintained in an air conditioning system with a central heat source, increasing the chilled water temperature will reduce the energy consumption of the refrigerator as shown in the figure, but the heat transfer system Energy consumption in pumps and air conditioners increases. Therefore, it can be seen that the total energy consumption fluctuates even when only the chilled water temperature is viewed, and there is an optimum point that minimizes the energy consumption. By performing similar processing for various parameters such as cooling water temperature, cooling water flow rate, cooling water flow rate as well as cold water temperature in such a simulation, find the point where the energy consumption is the lowest among all conditions, At that time, a control parameter for performing operation in the state is calculated. By controlling each device of the air conditioning equipment in accordance with the control parameters calculated in this way, optimization control of the air conditioning equipment becomes possible. Note that the control parameter calculated as the optimization control is not limited to the control parameter for controlling the energy consumption to be the minimum, for example, for controlling the operation cost or the amount of exhausted carbon dioxide to be the minimum. It may be a control parameter. In addition, the optimization simulator can be a simulator unique to each facility of each customer facility by simply changing the simulator setting file.

  The control parameters obtained by the center server 40 (optimization simulator) are transmitted from the center server 40 to the local server 30 of the customer facility 12 as information for supporting optimization control and stored.

  When the local server 30 receives the control parameter, for example, the local server 30 notifies the facility manager through the monitor or the like that the control parameter has been received from the center server 40. When receiving the notification, the facility manager determines whether or not to control or adjust each facility device in accordance with the control parameter from the center server 40. When it is determined to be implemented and an instruction to that effect is input by the input device, the local server 30 performs control and adjustment of each facility device according to the control parameter from the center server 40.

  It should be noted that each equipment device can be controlled and adjusted according to the control parameters from the center server 40 without confirmation by the equipment manager. Further, the local server 40 may directly control each facility device according to the control parameter from the center server 40, or by giving the control parameter to the central monitoring device 20 to control each facility device. It may be an aspect of controlling indirectly, and how to control each facility device according to the control parameter from the center server 40 is not limited to a specific aspect. Furthermore, the information indicating the control contents from the center server 40 is simply displayed on the monitor or the like of the local server 40 to give information for performing the optimization control to the equipment manager or the like. You may make it perform measures, such as operating the central monitoring apparatus 20 grade | etc., Based on information, and changing the control content of each installation apparatus. That is, how to use the control parameters from the center server 40 is not limited to a specific case.

  The optimization simulator in the center server 40 has a calculation function for calculating a theoretical value (theoretical energy) of energy consumption required for each air conditioner in the customer facility 12 when the optimization control is performed. The theoretical value is transmitted to the local server 30 of the customer facility 12 and stored. The theoretical value of energy consumption required for each air conditioning equipment is calculated by calculating the indoor load and equipment load using the measured values obtained from the sensors of each air conditioning equipment, weather forecast data, or predicted values predicted from past data, It is calculated by performing a simulation that theoretically analyzes all device characteristics.

  The local server 30 of the customer facility 12 compares the measured value of energy consumption in each air conditioning equipment obtained from the field data collected as described above with the theoretical value acquired from the center server 40, and the difference (actually measured value). -A waste value of energy consumption is calculated by calculating (theoretical value). By grasping the time series change of this waste value, it is possible to quantitatively grasp the degree of equipment deterioration.

  The calculation of the control parameter for optimization control and the calculation of the theoretical value of energy consumption in the service providing facility 10 as described above are performed about once every 30 minutes, for example, and the result is sent to the customer facility 12 for optimization control support. Sent as information.

  Further, the service providing facility 10 is shared by a plurality of customer facilities, and an information providing service for optimization control support is provided to the plurality of customer facilities. In order to provide one customer facility with information. If approximately 1 minute is required for this calculation, a service can be provided to approximately (30 minutes / 1 minute =) 30 facilities using one center server 40 (optimization simulator).

  As described above, the customer facility 12 can perform the optimization control by the optimization simulator without introducing the optimization simulator into the facility, and the initial compared with the case where the optimization simulator is introduced into the facility. Costs and running costs can be reduced. In addition, since it is possible to handle a plurality of customer facilities with only one optimization simulator, even companies that provide optimization control support services using an optimization simulator can reduce costs and maintenance. .

  In the above description, the case where the calculation of the control parameter of the optimization control and the calculation of the theoretical value of the energy consumption for the air conditioning equipment of the customer facility 12 is described, but the same calculation method as that of the air conditioning equipment is used. With respect to equipment other than the air conditioning equipment, it is possible to calculate the control parameters for optimization control and theoretical values of energy consumption using the optimization simulator, and it is possible to provide the customer facility 12 with information on optimization control support for these equipments. Can be.

  In addition, some control parameters indicate an upper limit value or a lower limit value that limits the allowable operation range of each facility device. For example, appropriate upper and lower limit values such as VAV air volume, air conditioner air volume, fan inverter frequency, cold / hot water coil flow rate, cold / hot water pump flow rate, cold / hot water pump number, heat source equipment operation number, etc. in the air conditioner are obtained as control parameters. It is also possible to transmit to the local server 30 of the customer facility 12. In that case, those control parameters can also be obtained by load prediction. For example, regarding the control parameters of the air conditioning equipment, the weather forecast for the next day, the predicted amount of solar radiation, and other conditions are acquired through the Internet, and the heat load, air volume, and heat quantity for each hour are calculated. And it is also possible to determine the upper limit value and the lower limit value for each time. Thereby, the driving | operation using the control parameter according to a season and time is attained. For example, in control of a fan motor in an air conditioner, it is possible to determine an upper limit value and a lower limit value of a frequency at which an AC voltage output from an inverter device can be changed by load prediction.

  It is also possible to obtain appropriate management values for the energy consumption, consumption cost, peak value, environmental load performance, and comfort at the customer facility 12 as control parameters and transmit them to the local server 30 at the customer facility 12. The management value is compared with the actual measurement value in the local server 30 of the customer facility 12, and various alarms, control, adjustment and the like are performed based on the deviation between the actual measurement value and the management value.

  Further, since the center server 40 can collect field data at each customer facility, an optimal control parameter at each customer facility can be determined in consideration of the data of other customer facilities.

  In addition, the state of each facility device in the customer facility 12 is conventionally grasped by the manufacturer who provided the facility device by providing individual communication means for the facility device, and performing maintenance when necessary. However, in the above system, since information on each facility device can be obtained through the local server 30 and the communication network, each manufacturer that provides the facility device connects to the communication network in the same manner as the center server 40 and connects to the local server 30. Necessary information can be acquired from the information, or necessary information can be acquired through the center server 40.

The system figure which shows the whole structure of management systems, such as a building to which this invention is applied Display example of energy information Explanatory drawing used to explain optimization control of air conditioning equipment

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 ... Service provision facility, 12 ... Customer facility, 14 ... Facility management system, 20 ... Central monitoring apparatus, 30 ... Local server, 40 ... Center server

Claims (4)

Data collection means installed at each customer facility in a plurality of customer facilities and collecting data relating to the operating state of each equipment device of the predetermined equipment installed at each customer facility;
Customer-side data communication means installed at each customer facility and connected to an external facility through a communication network,
Service providing side data communication means installed in a service providing facility and communicatively connected to customer side data communication means of each customer facility through the communication network;
Data acquisition means installed in the service providing facility, for acquiring data collected by the data collection means through the customer side data communication means, the communication network, and the service provision side data communication means;
Installed in the service providing facility, and based on the data acquired by the data acquisition means, the energy consumption, the operating cost, or the amount of emitted carbon dioxide in the equipment of each customer facility is minimized so as to minimize An optimized control parameter calculating means for calculating a control parameter for controlling each equipment of the equipment;
Control parameter acquisition means that is installed in each customer facility and acquires the control parameter calculated by the optimization control parameter calculation means through the service providing side data communication means, the communication network, and the customer side data communication means When,
An optimization control support system characterized by comprising:   In each customer facility, the control means for controlling each equipment device of the equipment based on the control parameter acquired by the control parameter acquisition means, or the control content by the control parameter acquired by the control parameter acquisition means 2. The optimization control support system according to claim 1, further comprising display means for displaying information. Energy consumption calculation means for calculating a theoretical value of energy consumption when each equipment device of the equipment of each customer facility is controlled by the control parameter installed in the service providing facility and calculated by the optimization control parameter calculation means When,
Energy consumption theory installed at each customer facility and acquiring a theoretical value of energy consumption calculated by the energy consumption calculating means through the service providing side data communication means, the communication network, and the customer side data communication means. A value acquisition means;
The actual value of energy consumption obtained by the energy consumption theoretical value acquisition means is calculated while calculating the actual value of energy consumption in the equipment based on the data collected by the data collection means installed at each customer facility. A waste energy consumption value calculation means for comparing and calculating the difference as a waste energy value,
The optimization control support system according to claim 1 or 2, further comprising:   The optimization control support system according to claim 1, 2 or 3, wherein the predetermined equipment installed in each customer facility is an air conditioning equipment.

Images