CN110597116A - Real-time dynamic energy management and control system based on building energy consumption data - Google Patents

Real-time dynamic energy management and control system based on building energy consumption data Download PDF

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CN110597116A
CN110597116A CN201910846259.0A CN201910846259A CN110597116A CN 110597116 A CN110597116 A CN 110597116A CN 201910846259 A CN201910846259 A CN 201910846259A CN 110597116 A CN110597116 A CN 110597116A
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building
energy consumption
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energy
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CN110597116B (en
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丁勇
罗庆
吕婕
刘学
颜雪
王小炜
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Chongqing University
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0428—Safety, monitoring
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2612—Data acquisition interface
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2639—Energy management, use maximum of cheap power, keep peak load low

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  • Automation & Control Theory (AREA)
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Abstract

The invention aims to provide a real-time dynamic energy management and control system based on building energy consumption data. And the data analysis module processes the data in the database, monitors and displays the data in real time, automatically calculates the cost and generates a data report according to the requirements of the template. When the comparison result exceeds the excess alarm difference value or percentage, the intelligent alarm submodule sends out an alarm signal and sends information to a user. And the operation regulation and control module carries out energy-saving scene diagnosis according to the benchmarking result, judges whether the energy-saving scene diagnosis meets the energy-saving management requirement or not, and automatically regulates or starts and stops the related equipment according to the priority. And the expert transformation suggestion providing module is used for inputting regulation and control transformation suggestions. And the dynamic energy consumption limit analysis management module performs statistics and calculation according to the energy consumption data of different types of buildings, so that the dynamic management of the energy consumption limit of the buildings is realized and the dynamic management is timely disclosed.

Description

Real-time dynamic energy management and control system based on building energy consumption data
Technical Field
The invention relates to the technical field of building energy management.
Background
Along with the continuous improvement of the living standard of people and the high-speed development of the building industry, the total amount of the energy consumption of the Chinese building rises year by year, in order to reduce the total energy consumption and the total amount of the emission of main pollutants, the prior art proposes to deeply fuse a new period information technology and an original building energy supervision system, realize the real-time accurate acquisition and display of energy consumption data, simultaneously utilize a big data technology to count the building information and the operation state, realize the operation regulation and control and carry out intelligent management on the building energy consumption. Meanwhile, real-time data can also guide the real-time formulation of the energy consumption quota, so that a dynamic energy consumption quota is formed, and the building energy consumption can be managed in time.
However, the existing building energy consumption management system and method have the following limitations: the setting range of the indexes is wide, only the building type, the energy consumption type and the energy consumption items are determined in a rough range, and detailed indexes are not available; the energy consumption limit cannot be dynamically regulated, the excess alarm is carried out only by comparing the energy consumption limit with annual energy consumption data, and the statistical operation of the energy consumption limit cannot be carried out according to data in a platform, so that the dynamic energy consumption limit cannot be formed, and the building energy consumption data can be dynamically regulated and controlled in real time; the operability is poor, details, installation and the like of the monitoring system are not described, the calculation of each index is not described in detail, and the operation is not good in engineering.
Therefore, it is urgently needed to develop a system capable of performing real-time dynamic energy management and control on building energy consumption data.
Disclosure of Invention
The invention aims to provide a system capable of carrying out real-time dynamic energy management and control on building energy consumption data.
The technical scheme adopted for achieving the purpose of the invention is that the real-time dynamic energy management and control system based on the building energy consumption data comprises a data monitoring device, a data acquisition device, a database, a data analysis module, an operation regulation and control module, an expert improvement suggestion providing module and a dynamic quota analysis and management module.
The data monitoring device collects energy consumption data and operation parameters of the building and transmits the energy consumption data and the operation parameters to the data acquisition unit. And the data acquisition unit uploads the real-time data of the building to a database. The content stored in the database comprises all basic building information, building types, energy consumption data and operation state data.
And the data analysis module processes and analyzes the data in the database and retransmits the calculated data content to the database for storage.
The data analysis module comprises a data processing sub-module, a real-time data display sub-module, an intelligent report generation sub-module, a cost statistics sub-module and an intelligent alarm sub-module.
And the data processing submodule calculates monitoring data in real time so as to obtain a plurality of indexes. And the data processing submodule performs benchmarking processing on each index and retransmits the calculated data and benchmarking results to the database.
The real-time data display submodule performs classification processing on basic information and real-time data indexes of the building to form numbers, charts and models.
And the cost statistics submodule calculates various energy costs and total energy costs of the building according to the use amounts of electricity, water, gas and coal counted by the energy management and control system.
And the intelligent report generation submodule forms a report based on the report template. The report includes information including basic building information, equipment information, energy consumption data, monitoring indexes, benchmarking reference indexes and energy cost.
The intelligent alarm submodule sets corresponding alarm values for each index calculated by the data processing submodule, sets sound and/or light alarm and sends information to a manager.
And the operation regulation and control module provides regulation and control suggestions for equipment according to the benchmarking results of all indexes, and sets automatic regulation and control and/or manual regulation and control.
The manual regulation and control is used for setting the start and stop of the equipment and parameters in the system by a user, and the automatic regulation is used for automatically regulating or starting and stopping the related equipment according to the priority according to the environment monitoring data.
The expert transformation suggestion providing module has the function of displaying various types of information of different buildings, and the displayed information comprises basic building information, equipment information, energy consumption data, running state data and regulation history of the different buildings. And the user provides module input equipment regulation and control information and modification information for expert modification advice according to the benchmarking result adjusted by the operation regulation and control module.
The dynamic quota analysis management module calls the real-time data of the related information, the energy consumption and the running state of all buildings stored in the database, classifies the buildings of different types by using a cluster analysis method, and sets different energy consumption quotas for the buildings of different types. Calculating building energy consumption index measured value E0Thereby dynamically generating constraint valuesAnd a power consumption guide value R.
Wherein the building energy consumption index measured value E0The calculation formula of (2) is as follows:
in the formula: eoHas the unit of kgce/(m)2·a)。EiThe unit of the consumed ith type energy object is the unit of each object. KiAnd converting the standard coal coefficient for the i-th energy. And n is the number of the types of energy consumed by the building. A is the building area in m2。
The constraint valueThe calculation formula of (2) is as follows:
in the formula:as sample means or constraint values, EonThe building energy consumption index measured value of a certain type of single building.
The calculation formula of the energy consumption guide value R is as follows:
in the formula: r is a statistical quota value or an energy consumption guide value, sigma is a sample standard deviation, and Z isαAlpha is more than or equal to 0.15 and less than or equal to 0.30, and is the corresponding standard normal distribution probability density value when the cumulative probability is (-alpha).
The use method of the real-time dynamic energy management and control system based on the building energy data comprises the following steps:
1) and arranging each measuring point, installing the data monitoring device, setting initial parameters and debugging the data transmission function.
2) The data monitoring device monitors various indexes and transmits monitoring data to the data acquisition unit. Wherein, each type of the indexes comprises equipment data, equipment energy consumption and environmental indexes.
3) And the data acquisition unit uploads the real-time monitoring data to a database.
4) The data analysis module processes and analyzes the monitoring data in the database and transmits the calculated data content to the database.
5) The operation regulation and control module analyzes the energy consumption condition of the building according to the benchmarking result of the data analysis module, so that automatic regulation and control and/or manual regulation and control are set, and the benchmarking is performed on the regulated and controlled data again. When the benchmarking result of the step still does not meet the standard, the step 6) is carried out.
6) And the user provides the expert transformation suggestion with the module input equipment regulation and control information and transformation information according to the benchmarking result regulated by the operation regulation and control module, and regulates and controls again until the benchmarking result meets the standard.
7) What is needed isThe dynamic quota analysis management module processes the energy consumption data in the database in real time and calculates the building energy consumption index measured value EoConstraint valueAnd a constraint index R: and guiding the single building in real time through the constraint index R.
Further, the data monitoring device transmits the monitoring data to the data acquisition unit in a wired and/or wireless mode.
Furthermore, when a plurality of data can not be collected by the data monitoring device, the data can be stored in a database in a mode of direct input by a user through a user side, and the data comprises data information of diesel oil and gasoline.
Further, the indexes and the calculation criteria calculated by the data processing submodule are as follows:
(1) the carbon monoxide concentration of the underground garage is measured as d0。
(2) Monitoring the carbon dioxide concentration of the room, wherein the measured value of the carbon dioxide concentration of the room is f0。
(3) Monitoring room temperature, wherein the room temperature is actually measured as h0。
(4) Monitoring the relative humidity of the room, wherein the actual measured value of the relative humidity of the room is i0。
(5) Monitoring the room wind speed, wherein the actual measured value of the room wind speed is j0。
(6) Monitoring the room illumination, wherein the actual room illumination value is k0。
(7) Monitoring the room noise with a measured value of l0。
(8) The method for calculating the daily average water consumption m of the building comprises the following steps:
in the formula: t is the measurement time in units of d, b0Is the total amount of inlet water of a traditional water source, b'0The total amount of the water discharged from the non-traditional water source.
(9) The building is centralized in cooling/heating quantity and the building is centralized in cooling quantity of n1And the central heating load of the building is n2。
(10) G for building gas consumption, g for building natural gas consumption0。
(11) The power consumption of each part of the air conditioning system, the ratio of the power consumption to the power consumption of the cold and heat sources e5Ratio of occupation ofe1The total power consumption of the air conditioning system. Electric quantity e for transmission and distribution system6Ratio of occupation ofElectric quantity e for cooling tower7Ratio of occupation ofEnd power consumption e of wind cabinet8Ratio of occupation of
(12) The power consumption of each part of the lighting system and the ratio thereof, and the power consumption e of the main functional room9The ratio of (A) to (B):e2the total power consumption of the lighting system. Electricity consumption e in public area10The ratio of (A) to (B):electric quantity e for landscape outdoor landscape lighting11The ratio of (A) to (B):
(13) the power consumption and the proportion of each part of the power system are as follows:
water pump power consumption e of water supply and drainage system12The ratio of (A) to (B):
electric quantity e for fan not used for air conditioner13The ratio of (A) to (B):
elevator staircase power consumption e14The ratio of (A) to (B):
wherein e is3The total power consumption of the power system.
(14) The cold and hot water supply and return water temperature and the cold and hot water supply and return water temperature calculation method comprises the following steps: Δ hCold and hot＝h1-h2。
In the formula: h is1The temperature of the cold and hot water inlet end h2The temperature of the cold and hot water outlet end.
(15) The cooling water supply and return water temperature, and the chilled water supply and return water temperature calculation method comprises the following steps: Δ hCooling down＝h3-h4。
In the formula: h is3For cooling the inlet temperature of the water, h4Is the outlet temperature of the cooling water.
(16) The efficiency of the cold and hot water pump,
in the formula: rho is the average density of water (kg/m), g is the acceleration of free fall, 9.8(m/s) is taken, t is the metering time, q is the average density of water (kg/m), g is the acceleration of free fall2Is the pressure value of the water inlet end of the cold and hot water pump, q3The pressure value of the water outlet end of the cold and hot water pump, e15Power consumption for cold and hot water pumps, m0The daily average water consumption of the building is reduced.
(17) The efficiency of the cooling water pump is improved,
in the formula: rho is the average density of water (kg/m), g is the acceleration of free fall, 9.8(m/s) is taken, t is the metering time, m0For the daily average water consumption of the building, q0Is the pressure value q of the water outlet end of the cooling water pump1Is the pressure value of the water inlet end of the cooling water pump, e16The power consumption of the cooling water pump is reduced.
(18) Cold machine/heat pump COP:
in the formula: qsThe unit is kW, rho is the density of cold and hot water, unit kg/m3 and c is the specific heat of cold and hot water at constant pressure and unit kJ/kg. ℃.
The method for calculating the COP of the cold machine/heat pump comprises the following steps:
in the formula: t is the metering time.
(19) Vapor compression type cold water or heat pump system EER:
further, the dynamic quota analysis management module generates a constraint valueAnd the alarm value corresponds to the alarm value in the intelligent alarm submodule.
The invention has the beneficial effects that:
1. the automatic reading and intelligent calculation of energy consumption and equipment data are realized, a report is automatically formed, and a large amount of manpower and material resources are saved.
2. The energy consumption, the environment and the equipment running state are monitored in real time, data are displayed in real time, relevant calculation is carried out, and a user can easily master the running state of the whole green building. When the system can exceed the energy consumption limit and the set parameters, the system sends out an alarm signal to prompt a user, the user can find problems and regulate and control in time, and expert opinions can be solicited through the system when needed.
3. And the energy consumption limit can be calculated in real time according to the energy consumption monitoring information of each building, and a report is automatically generated for displaying. The dynamic energy consumption limit can guide the single building to regulate and control, and the effective management of building energy conservation is realized.
Drawings
FIG. 1 is a schematic diagram of a system module architecture;
fig. 2 is a schematic diagram of the system operation process.
Detailed Description
The present invention is further illustrated by the following examples, but it should not be construed that the scope of the above-described subject matter is limited to the following examples. Various substitutions and alterations can be made without departing from the technical idea of the invention and the scope of the invention is covered by the present invention according to the common technical knowledge and the conventional means in the field.
Example 1:
the embodiment discloses a real-time dynamic energy management and control system based on building energy consumption data, and referring to fig. 1, the system comprises a data monitoring device, a data acquisition device, a database, a data analysis module, an operation regulation and control module, an expert improvement suggestion providing module and a dynamic quota analysis and management module.
The numbers and installation positions of the monitoring devices of the data monitoring device are shown in table 1:
TABLE 1
The data monitoring device transmits energy consumption data and operation parameters to the data acquisition unit in a wired or wireless mode, and the data acquisition unit uploads real-time data of the building to the database.
The database can store basic building information, building types, energy consumption data, operation state data and the like of all buildings, and if the data cannot be collected by the data monitoring device, the data such as diesel oil, gasoline and the like can be stored in the database in a mode of direct input by a user side.
The data analysis module is mainly used for processing and analyzing data in a database and comprises the following sub-modules: the system comprises a data processing sub-module, a real-time data display sub-module, an intelligent report generation sub-module, a cost statistics sub-module and an intelligent alarm sub-module.
The data processing submodule calculates the monitoring data in real time according to a preset calculation criterion so as to obtain a relevant index, and the calculation criterion and the corresponding index are as follows:
the measured value of the carbon monoxide concentration is d0。
The measured value of the carbon dioxide concentration in the room is f0。
Measured value of room temperature is h0。
Room relative humidity measured value is i0。
Measured value of room wind speed j0。
Measured value of room illuminance is k0。
Measured value of room noise is l0。
The method for calculating the average daily water consumption m of the building comprises the following steps:
in the formula: t is the measurement time in units of d, b0Is the total amount of inlet water of a traditional water source, b'0The total amount of the water discharged from the non-traditional water source.
Building concentrated cooling/heating:
the central cooling capacity of the building is n1。
The central cooling capacity of the building is n2。
The gas consumption of the building natural gas is recorded as g0。
The power consumption and the proportion of each part of the air conditioning system are as follows:
electric quantity e for cold and heat source5The ratio of the component to be,e1the total power consumption of the air conditioning system;
electric quantity e for transmission and distribution system6The ratio of the component to be,
electric quantity e for cooling tower7The ratio of the component to be,
end power consumption e of wind cabinet8The ratio of the component to be,
the power consumption and the proportion of each part of the lighting system are as follows:
electricity consumption e of main function room9The ratio of the component to be,e2the total power consumption of the lighting system;
electricity consumption e in public area10The ratio of the component to be,
electric quantity e for landscape outdoor landscape lighting11The ratio of the component to be,
the power consumption and the proportion of each part of the power system are as follows:
water pump power consumption e of water supply and drainage system12The ratio of the component to be,
electric quantity e for fan not used for air conditioner13The ratio of the component to be,
elevator staircase power consumption e14The ratio of the component to be,
wherein e is3The total power consumption of the power system.
The cold and hot water supply and return water temperature calculation method comprises the following steps: Δ hCold and hot＝h1-h2。
In the formula: h is1The temperature of the cold and hot water inlet end h2The temperature of the cold and hot water outlet end.
The chilled water supply and return water temperature calculation method comprises the following steps: Δ hCooling down＝h3-h4。
In the formula: h is3For cooling the inlet temperature of the water, h4Is the outlet temperature of the cooling water.
Cold and hot water pump efficiency:
in the formula: rho is the average density of water in kg/m3The water temperature can be obtained by looking up the physical property parameter table; g is the acceleration of free falling body, and is 9.8m/s2(ii) a t is the metering time; q. q.s2The pressure value of the water inlet end of the cold and hot water pump is obtained; q. q.s3The pressure value of the water outlet end of the cold and hot water pump is obtained; e.g. of the type15The power consumption of the cold and hot water pump is used; m is0The daily average water consumption of the building is reduced.
Cooling water pump efficiency:
in the formula: rho is the average density of water in kg/m3The water temperature can be obtained by looking up the physical property parameter table; g is the acceleration of free falling body, and is 9.8m/s2(ii) a t is the metering time; m is0The daily average water consumption of the building is calculated; q. q.s0The pressure value of the water outlet end of the cooling water pump is obtained; q. q.s1The pressure value of the water inlet end of the cooling water pump is obtained; e.g. of the type16The power consumption of the cooling water pump is reduced.
Cold machine/heat pump COP:
in the formula: qsThe unit kW is the average cooling capacity or the average heating capacity of the cold and heat source unit. Rho is the density of cold and hot water in kg/m3. c is the specific heat of cold and hot water at constant pressure and unit kJ/kg. ℃.
The method for calculating the COP of the cold machine/heat pump comprises the following steps:
in the formula: t is the metering time.
Vapor compression type cold water/heat pump system EER:
and comparing the corresponding standard requirement or energy consumption limit with an actual value of the same parameter obtained by data acquisition, calculation and analysis actually to obtain whether the operation of each index is normal or not, and retransmitting the calculated data content to the database for storage.
The real-time data display sub-module can classify and process the basic information and the real-time data indexes according to the requirements to form numbers, charts and models, and can display energy consumption year by year, month by month, day by day or unit area according to energy types, energy consumption items and the like.
The intelligent report generation sub-module can create a report template according to the self requirements of the user and form various types of reports. The report includes information including basic building information, equipment information, energy consumption data, monitoring indexes, benchmarking reference indexes and energy cost.
The intelligent alarm submodule can identify parameter abnormity according to the processing result of the data processing submodule and can set alarm values for all indexes. The intelligent alarm sub-module can set sound and light alarm according to the requirements of the user and send information and mails to the user.
The operation regulation and control module can provide regulation and control suggestions for equipment according to the data benchmarking results, and can set automatic regulation and control and manual regulation and control. The manual regulation and control can be used for setting the start and stop of the equipment and setting parameters in the system by a user, and the automatic regulation can be used for automatically regulating or starting and stopping the related equipment according to the priority according to the environment monitoring data.
The expert transformation suggestion providing module has the function of displaying various information of different buildings, and the displayed information comprises basic building information, equipment information, energy consumption data, running state data and regulation history of the different buildings; and the user provides module input equipment regulation and control information and modification information for expert modification advice according to the benchmarking result adjusted by the operation regulation and control module.
The dynamic energy consumption quota analysis management module corresponds to an administrator entrance, an administrator can obtain relevant information, energy consumption, real-time data of running states and the like of all buildings in the database through an administrator account, the dynamic energy consumption quota analysis management system classifies and screens the real-time data according to the building types and calculates building energy consumption index measured values E according to a set algorithm0To dynamically generate the energy consumption guide value R and the constraint value
And the user calls the real-time data of the related information, the energy consumption and the running state of all buildings stored in the database through the dynamic quota analyzing and managing module. The dynamic quota analysis management module classifies and screens real-time data according to building types and calculates building energy consumption index measured value E according to a set algorithm0To dynamically generate the energy consumption guide value R and the constraint valueAnd generating a corresponding report. The constraint valueAnd in the intelligent alarm moduleThe dynamic energy consumption limits correspond to each other, and the single building is guided in real time.
The calculation formula of the building energy consumption index measured value is as follows:
in the formula: eoIs the measured value of the building energy consumption index, and the unit is kgce/(m)2·a)。EiThe unit of the consumed ith type energy object is the unit of each object. KiAnd converting the standard coal coefficient for the i-th energy. And n is the number of the types of energy consumed by the building. A is the building area in m2。
The constraint index uses the average value of the whole sample, and the calculation formula is as follows:
in the formula:is the sample mean. EonThe building energy consumption index measured value of a certain type of single building.
The constraint index is calculated according to a quota level method, and the calculation formula is as follows:
in the formula: r is a statistical quota value. σ is the sample standard deviation. ZαThe corresponding standard normal distribution probability density value when the cumulative probability is (1-alpha) corresponds to the quota level. The energy consumption allowance level alpha is set between 0.15 and 0.30.
A method for using a real-time dynamic energy management and control system based on building energy data is disclosed, and referring to fig. 2, the method comprises the following steps:
1) reasonably arranging each measuring point according to the regulations of public building energy-saving detection standard (JGJ/T177-2009) and green building energy-saving detection standard (CSUS/GBC 05-2014), installing monitoring equipment, setting initial parameters and debugging a data transmission function.
2) The data monitoring device monitors various indexes and transmits monitoring data to the data acquisition unit in a wired or wireless mode. Wherein, each type of the indexes comprises equipment data, equipment energy consumption and environmental indexes. When the data can not be collected by the monitoring equipment, such as diesel oil, gasoline and other data, the user can store the data into the database in a mode of direct input by the user side.
3) And the data acquisition unit uploads the real-time monitoring data to a database.
4) The data analysis module processes and analyzes the monitoring data in the database and transmits the calculated data content to the database.
5) The operation regulation and control module analyzes the energy consumption condition of the building according to the benchmarking result of the data analysis module, so that automatic regulation and control and/or manual regulation and control are set, and the benchmarking is performed on the regulated and controlled data again. When the benchmarking result of the step still does not meet the standard, the step 6) is carried out;
6) and the user provides the expert transformation suggestion with the module input equipment regulation and control information and transformation information according to the benchmarking result regulated by the operation regulation and control module, and regulates and controls again until the benchmarking result meets the standard.
7) The dynamic quota analysis management module processes the energy consumption data in the database in real time and calculates the building energy consumption index measured value EoConstraint valueAnd a constraint index R; and guiding the single building in real time through the constraint index R.
And comparing the data after the dynamic energy consumption quota value is calculated with the local energy consumption quota standard, and using the local standard when the value is greater than the local standard. And when no local energy consumption limit exists, comparing the data obtained after the dynamic energy consumption limit value is calculated with the national limit, and using the national standard when the value is greater than the national standard.

Claims (5)

1. The utility model provides a real-time dynamic energy management and control system based on building energy consumption data which characterized in that: the system comprises a data monitoring device, a data acquisition device, a database, a data analysis module, an operation regulation and control module, an expert transformation suggestion providing module and a dynamic quota analysis and management module;
the data monitoring device acquires energy consumption data and operation parameters of the building and transmits the energy consumption data and the operation parameters to the data acquisition unit; the data acquisition unit uploads the real-time data of the building to a database; the content stored in the database comprises all basic building information, building types, energy consumption data and operation state data;
the data analysis module processes and analyzes data in the database and retransmits the calculated data content to the database for storage;
the data analysis module comprises a data processing sub-module, a real-time data display sub-module, an intelligent report generation sub-module, a cost statistics sub-module and an intelligent alarm sub-module;
the data processing submodule calculates monitoring data in real time so as to obtain a plurality of indexes; the data processing submodule carries out benchmarking processing on each index and retransmits the calculated data and benchmarking results to the database;
the real-time data display submodule performs classification processing on basic information and real-time data indexes of the building to form numbers, charts and models;
the cost statistics submodule calculates various energy costs and total energy costs of the building according to the electricity, water, gas and coal usage amounts counted by the energy management and control system;
the intelligent report generation submodule forms a report based on a report template; the report comprises information including basic building information, equipment information, energy consumption data, monitoring indexes, benchmarking reference indexes and energy cost;
the intelligent alarm submodule sets corresponding alarm values for each index calculated by the data processing submodule, sets sound and/or light alarm and sends information to a manager;
the operation regulation and control module provides regulation and control suggestions for equipment according to the benchmarking results of all indexes, and sets automatic regulation and control and/or manual regulation and control;
the manual regulation and control is that a user sets the start and stop of the equipment and parameters in the system, and the automatic regulation automatically regulates or starts and stops the related equipment according to the priority according to the environment monitoring data;
the expert transformation suggestion providing module has the function of displaying various information of different buildings, and the displayed information comprises basic building information, equipment information, energy consumption data, running state data and regulation history of the different buildings; a user provides module input equipment regulation information and modification information for expert modification advice according to the benchmarking result adjusted by the operation regulation and control module;
the dynamic quota analysis management module calls real-time data of relevant information, energy consumption and running states of all buildings stored in the database, classifies the buildings of different types by using a cluster analysis method, and sets different energy consumption quotas for the buildings of different types; calculating building energy consumption index measured value E0Thereby dynamically generating constraint valuesAnd an energy consumption guide value R;
wherein the building energy consumption index measured value E0The calculation formula of (2) is as follows:
in the formula: eoHas the unit of kgce/(m)2·a)；EiThe unit of the consumed ith type energy physical quantity is the unit of each physical quantity; kjConverting standard coal coefficients for the ith type of energy; n is the number of the types of energy consumed by the building; a is the building area in m2；
The constraint valueIs calculated by the formula：
In the formula:as sample means or constraint values, EonThe building energy consumption index actual measurement value of a certain type of single building;
the calculation formula of the energy consumption guide value R is as follows:
in the formula: r is a statistical quota value or an energy consumption guide value, sigma is a sample standard deviation, and Z isαAlpha is more than or equal to 0.15 and less than or equal to 0.30 for the corresponding standard normal distribution probability density value when the cumulative probability is (1-alpha);
the use method of the real-time dynamic energy management and control system based on the building energy data comprises the following steps:
1) arranging each measuring point, installing the data monitoring device, setting initial parameters and debugging the data transmission function;
2) the data monitoring device monitors various indexes and transmits monitoring data to the data acquisition unit; wherein, each type of the indexes comprises equipment data, equipment energy consumption and environmental indexes;
3) the data acquisition unit uploads real-time monitoring data to a database;
4) the data analysis module processes and analyzes the monitoring data in the database and transmits the calculated data content to the database;
5) the operation regulation and control module analyzes the energy consumption condition of the building according to the benchmarking result of the data analysis module, so that automatic regulation and control and/or manual regulation and control are set, and the regulated and controlled data are subjected to benchmarking again; when the benchmarking result of the step still does not meet the standard, the step 6) is carried out;
6) the user inputs equipment regulation and control information and transformation information to the expert transformation suggestion providing module according to the benchmarking result regulated by the operation regulation and control module, and secondary regulation and control are carried out until the benchmarking result meets the standard;
7) the dynamic quota analysis management module processes the energy consumption data in the database in real time and calculates the building energy consumption index measured value EoConstraint valueAnd a constraint index R: and guiding the single building in real time through the constraint index R.
2. The real-time dynamic energy management and control system based on building energy consumption data as claimed in claim 1, wherein: the data monitoring device transmits the monitoring data to the data acquisition unit in a wired and/or wireless mode.
3. The real-time dynamic energy management and control system based on building energy consumption data as claimed in claim 1, wherein: when a plurality of data can not be collected by the data monitoring device, a user stores the data into a database in a mode of direct input by a user side, and the data comprises data information of diesel oil and gasoline.
4. The real-time dynamic energy management and control system based on building energy consumption data as claimed in claim 1, wherein: the indexes and the calculation criteria calculated by the data processing submodule are as follows:
(1) the carbon monoxide concentration of the underground garage is measured as d0；
(2) Monitoring the carbon dioxide concentration of the room, wherein the measured value of the carbon dioxide concentration of the room is f0；
(3) Monitoring room temperature, wherein the room temperature is actually measured as h0；
(4) Monitoring the relative humidity of the room, wherein the actual measured value of the relative humidity of the room is i0；
(5) Monitoring the room wind speed, wherein the actual measured value of the room wind speed is j0；
(6) Monitoring the room illumination, wherein the actual room illumination value is k0；
(7) Monitoring the room noise with a measured value of l0；
(8) Average daily water consumption m for building0The calculating method of (2):
in the formula: t is metering time, and the unit is d; b0The total amount of water inflow of the traditional water source is calculated; b'0The total amount of the effluent of the non-traditional water source;
(9) the building is centralized in cooling/heating quantity and the building is centralized in cooling quantity of n1And the central heating load of the building is n2；
(10) G for building gas consumption, g for building natural gas consumption0；
(11) The power consumption of each part of the air conditioning system, the ratio of the power consumption to the power consumption of the cold and heat sources e5Ratio of occupation ofe1The total power consumption of the air conditioning system; electric quantity e for transmission and distribution system6Ratio of occupation ofElectric quantity e for cooling tower7Ratio of occupation ofEnd power consumption e of wind cabinet8Ratio of occupation of
(12) The power consumption of each part of the lighting system and the ratio thereof, and the power consumption e of the main functional room9The ratio of (A) to (B):e2the total power consumption of the lighting system; electricity consumption e in public area10The ratio of (A) to (B):electric quantity e for landscape outdoor landscape lighting11The ratio of (A) to (B):
(13) the power consumption and the proportion of each part of the power system are as follows:
water pump power consumption e of water supply and drainage system12The ratio of (A) to (B):
electric quantity e for fan not used for air conditioner13The ratio of (A) to (B):
elevator staircase power consumption e14The ratio of (A) to (B):
wherein e is3The total power consumption of the power system;
(14) the cold and hot water supply and return water temperature and the cold and hot water supply and return water temperature calculation method comprises the following steps: Δ hCold and hot＝h1-h2；
In the formula: h is1The temperature of the cold and hot water inlet end h2The temperature of the cold and hot water outlet end;
(15) the cooling water supply and return water temperature, and the chilled water supply and return water temperature calculation method comprises the following steps: Δ hCooling down＝h3-h4；
In the formula: h is3For cooling the inlet temperature of the water, h2Is the outlet temperature of the cooling water;
(16) the efficiency of the cold and hot water pump,
in the formula: ρ is the average density of water (kg/m)3) (ii) a g is the acceleration of free fall, and is 9.8(m/s)2) (ii) a t is the metering time; q. q.s2The pressure value of the water inlet end of the cold and hot water pump is obtained; q. q.s3The pressure value of the water outlet end of the cold and hot water pump is obtained; e.g. of the type15The power consumption of the cold and hot water pump is used; m is0The daily average water consumption of the building is calculated;
(17) the efficiency of the cooling water pump is improved,
in the formula: ρ is the average density of water (kg/m)3) G is the acceleration of free fall, and 9.8(m/s) is taken2) T is the metering time; m is0The daily average water consumption of the building is calculated; q. q.s0The pressure value of the water outlet end of the cooling water pump is obtained; q. q.s1The pressure value of the water inlet end of the cooling water pump is obtained; e.g. of the type16The power consumption of the cooling water pump is reduced;
(18) cold machine/heat pump COP:
in the formula: qsThe unit is kW, rho is the density of cold and hot water, unit kg/m3, c is the specific heat of cold and hot water at constant pressure, and unit kJ/kg. ℃;
the method for calculating the COP of the cold machine/heat pump comprises the following steps:
in the formula: t is the metering time;
(19) vapor compression type cold water or heat pump system EER:
5. building-based building according to claim 1Real-time dynamic energy management and control system of energy consumption data, its characterized in that: the constraint value generated by the dynamic quota analysis management moduleAnd the alarm value corresponds to the alarm value in the intelligent alarm submodule.
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