CN110597116B - Real-time dynamic energy management and control system based on building energy consumption data - Google Patents

Abstract

The purpose of the present invention is to provide a real-time dynamic energy management and control system based on building energy consumption data, which uses a data collector to collect the readings of various monitoring devices in real time, and transmits them to a database for storage. The data analysis module processes the data in the database, monitors and displays in real time, automatically calculates costs, and generates data reports according to template requirements. When the comparison result exceeds the excess alarm difference or percentage, the intelligent alarm sub-module sends out an alarm signal and sends information to the user. The operation control module conducts energy-saving scenario diagnosis according to the benchmarking results, judges whether it meets the requirements of energy-saving management, and automatically adjusts or starts and stops related equipment according to the priority. Provide module input regulation and modification suggestions through expert modification suggestions. The dynamic energy consumption limit analysis and management module conducts statistics and calculations according to the energy consumption data of different types of buildings, realizes the dynamic management of the energy consumption limit of the building and publicizes it in time.

Description

A 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 technique

With the continuous improvement of people's living standards and the rapid development of the construction industry, the total energy consumption of buildings in China is increasing year by year. The original building energy monitoring system is deeply integrated. While realizing the real-time and accurate collection and display of energy consumption data, it uses big data technology to count building information and operation status, and can realize operation control and intelligent management of building energy consumption. At the same time, real-time data can also guide the real-time formulation of energy consumption quotas, form dynamic energy consumption quotas, and manage building energy consumption in a timely manner.

However, the existing building energy management systems and methods have the following limitations: the index setting range is wide, only the building type, energy consumption type, and energy consumption sub-items are only determined in a rough range, and there are no detailed indicators; energy consumption limits cannot be established. For dynamic regulation, it only compares the energy consumption limit with the annual energy consumption data, and makes an excess alarm, but cannot perform statistical calculations on the energy consumption limit based on the data in the platform, so that a dynamic energy consumption limit cannot be formed, and the energy consumption of the building cannot be affected. Real-time dynamic control of data; poor operability, no description of the monitoring system details, installation, etc., and no detailed description of the calculation of each index, it is not easy to operate in the project.

Therefore, it is urgent to develop a system capable of real-time dynamic energy management and control of building energy consumption data.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a system capable of real-time dynamic energy management and control of building energy consumption data.

The technical solution adopted to achieve the purpose of the present invention is as follows, a real-time dynamic energy management and control system based on building energy consumption data, including a data monitoring device, a data collector, a database, a data analysis module, an operation control module, and expert reconstruction suggestions Provide modules and dynamic limit analysis and management modules.

The data monitoring device collects energy consumption data and operating parameters of the building and transmits them to the data collector. The data collector uploads the real-time data of the building to the database. The content stored in the database includes all basic building information, building types, energy consumption data and operating status data.

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 includes 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 sub-module calculates monitoring data in real time, thereby obtaining several indicators. The data processing submodule performs benchmarking processing on each indicator, and retransmits the calculated data and benchmarking results to the database.

The real-time data display sub-module classifies and processes the basic information and real-time data indicators of the building to form figures, charts and models.

The cost statistics sub-module calculates various energy costs and total energy costs of the building according to the electricity, water, gas, and coal usage counted by the energy management and control system.

The intelligent report generation sub-module forms a report based on a report template. The information included in the report includes basic building information, equipment information, energy consumption data, monitoring indicators, benchmarking reference indicators and energy costs.

The intelligent alarm sub-module sets corresponding alarm values for each index calculated by the data processing sub-module, sets sound and/or light alarms, and sends information to the administrator at the same time.

The operation control module puts forward control suggestions for the equipment according to the benchmarking results of various indicators, and sets automatic control and/or manual control.

The manual adjustment is performed by the user to start and stop the equipment and parameter settings in the system, and the automatic adjustment automatically adjusts or starts and stops the relevant equipment according to the priority according to the environmental monitoring data.

The expert reconstruction suggestion providing module has the function of displaying various types of information of different buildings, and the displayed information includes building basic information, equipment information, energy consumption data, operating status data and regulation history of different buildings. The user provides the module input device regulation information and the transformation information to the expert transformation suggestion according to the benchmarking result adjusted by the operation regulation module.

和能耗引导值R。The dynamic limit analysis and management module invokes the real-time data of the relevant information, energy consumption and operating status of all buildings stored in the database, uses the cluster analysis method to classify different types of buildings, and sets different types of buildings for different types of buildings. Energy consumption limit. Calculate the measured value E ₀ of the building energy consumption index, so as to dynamically generate the constraint value

and energy consumption guide value R.

Wherein, the calculation formula of the measured value E ₀ of the building energy consumption index is:

In the formula: the unit of E _o is kgce/(m ² ·a). E _i is the physical quantity of type i energy consumed, and the unit is the unit of each physical quantity. K _i is the converted standard coal coefficient of the i-th type of energy. n is the number of energy types consumed by the building. A is the building area, the unit is m ² .

的计算公式为：the constraint value

The calculation formula is:

为样本均值或约束值，E_on为某类型单栋建筑的建筑能耗指标实测值。where:

is the sample mean or constraint value, and E _on is the measured value of the building energy consumption index of a certain type of single building.

The calculation formula of the energy consumption guide value R is:

In the formula: R is the statistical limit value or energy consumption guide value, σ is the sample standard deviation, Z _α is the corresponding standard normal distribution probability density value when the cumulative probability is (-α), 0.15≤α≤0.30.

The method for using a real-time dynamic energy management and control system based on building energy consumption data includes the following steps:

1) Arrange each measuring point, install the data monitoring device, set the initial parameters, and debug the data transmission function.

2) The data monitoring device monitors various indicators and transmits monitoring data to the data collector. Among them, the various indicators include equipment data, equipment energy consumption and environmental indicators.

3) The data collector uploads the real-time monitoring data to the 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 module analyzes the energy consumption status of the building according to the benchmarking result of the data analysis module, thereby setting automatic regulation and/or manual regulation, and benchmarking the regulated data again. When the benchmarking result of this step still does not meet the standard, go to step 6).

6) The user provides the module input device regulation information and the transformation information to the expert transformation suggestion according to the benchmarking result adjusted by the operation regulation module, and performs the regulation again until the benchmarking result meets the standard.

和约束性指标R：通过所述约束性指标R对单栋建筑进行实时指导。7) The dynamic limit analysis and management module processes the energy consumption data in the database in real time, and calculates the measured value E _o and the constraint value of the building energy consumption index

And the binding index R: the single building is guided in real time through the binding index R.

Further, the data monitoring device transmits the monitoring data to the data collector in a wired and/or wireless manner.

Further, when some data cannot be collected by the data monitoring device, the user stores the data in the database by direct input from the user terminal, and this type of data includes the data information of diesel and gasoline.

Further, the indexes and calculation criteria calculated by the data processing submodule are as follows:

(1) Carbon monoxide concentration in underground garage, the measured value of carbon monoxide concentration is d ₀ .

(2) Monitor the carbon dioxide concentration in the room, and the measured value of the room carbon dioxide concentration is f ₀ .

(3) Monitor the room temperature, and the measured value of the room temperature is h ₀ .

(4) Monitor the relative humidity of the room, and the measured value of the relative humidity of the room is i ₀ .

(5) Monitor the wind speed of the room, and the measured value of the room wind speed is j ₀ .

(6) Monitor room illuminance, and the measured value of room illuminance is k ₀ .

(7) Monitor room noise, the measured value of room noise is l ₀ .

(8) The daily average water consumption m of the building, the calculation method of the daily average water consumption m of the building:

In the formula: t is the measurement time, the unit is d, b0 is the total amount of water inflow from traditional water sources, and b′ ₀ is the total amount of water _outflow from non-traditional water sources.

(9) Building central cooling/heating, the building central cooling capacity is n ₁ , and the building central heat supply is n ₂ .

(10) Building gas consumption g, and building natural gas consumption is denoted as g ₀ .

e₁为空调系统总用电量。输配系统用电量e₆，占比

冷却塔用电量e₇，占比

风柜等末端用电量e₈，占比

(11) The electricity consumption of each part of the air-conditioning system and its proportion, the electricity consumption of cooling and heat sources e ₅ , the proportion

e ₁ is the total electricity consumption of the air-conditioning system. Transmission and distribution system electricity consumption e ₆ , percentage

Cooling tower electricity consumption e ₇ , percentage

Electricity consumption e ₈ at the end of the wind cabinet, etc., the proportion

e₂为照明系统总用电量。公共区域用电量e₁₀，占比：

景观室外景观照明用电量e₁₁，占比：

(12) Electricity consumption and proportion of each part of lighting system, electricity consumption e ₉ of main functional rooms, proportion:

e ₂ is the total electricity consumption of the lighting system. Electricity consumption e ₁₀ in public areas, proportion:

Landscape outdoor landscape lighting electricity consumption e ₁₁ , proportion:

(13) Electricity consumption of each part of the power system and its proportion:

Electricity consumption of water pump in water supply and drainage system e ₁₂ , proportion:

Electricity consumption of non-air-conditioning fans e ₁₃ , proportion:

Electricity consumption of elevator and escalator e ₁₄ , proportion:

Among them, e ₃ is the total power consumption of the power system.

(14) The temperature of cold and hot water supply and return water, the calculation method of cold and hot water supply and return water temperature: Δh _cold and hot = h ₁ -h ₂ .

In the formula: h ₁ is the temperature at the inlet end of the cold and hot water, and h ₂ is the temperature at the outlet end of the cold and hot water.

(15) The cooling water supply and return water temperature, the calculation method of the chilled water supply and return water temperature: Δh _cooling =h ₃ -h ₄ .

In the formula: _h3 is the cooling water inlet temperature, _h4 is the cooling water outlet temperature.

(16) Efficiency of cold and hot water pumps,

In the formula: ρ is the average density of water (kg/m), g is the acceleration of free fall, take 9.8 (m/s), t is the measurement time, q ₂ is the pressure value at the inlet end of the hot and cold water pump, and q ₃ is the cooling The pressure value of the water outlet of the hot water pump, e ₁₅ is the electricity consumption of the hot and cold water pump, and m ₀ is the daily average water consumption of the building.

(17) cooling water pump efficiency,

In the formula: ρ is the average density of water (kg/m), g is the free fall acceleration, take 9.8 (m/s), t is the measurement time, m ₀ is the daily average water consumption of the building, and q ₀ is the outlet end of the cooling water pump Pressure value, q ₁ is the pressure value of the water inlet end of the cooling water pump, and e ₁₆ is the electricity consumption of the cooling water pump.

(18) Cooler/Heat Pump COP:

In the formula: Q _s is the average cooling or heat supply of the cold and heat source unit, in kW, ρ is the density of cold and hot water, in kg/m3, c is the specific heat of cold and hot water at constant pressure, in kJ/kg. °C.

Cooling machine/heat pump COP calculation method:

In the formula: t is the measurement time.

(19) Vapor compression chilled water or heat pump system EER:

与智能报警子模块中的报警值相对应。Further, the constraint value generated by the dynamic limit analysis management module

Corresponds to the alarm value in the intelligent alarm sub-module.

The beneficial effects of the present invention are:

1. Realize the automatic reading and intelligent calculation of energy consumption and equipment data, and automatically form reports, saving a lot of manpower and material resources.

2. Real-time monitoring of energy consumption, environment and equipment operation status, real-time display of data, and relevant calculations, users can easily grasp the operation status of the entire green building. The system sends out an alarm signal to remind users when the energy consumption limit and set parameters can be exceeded.

3. According to the energy consumption monitoring information of each building, the energy consumption limit can be calculated in real time and a report can be automatically generated for publicity. The dynamic energy consumption limit can guide the regulation of a single building to achieve effective management of building energy conservation.

Description of drawings

Figure 1 is a schematic diagram of the system module structure;

Figure 2 is a schematic diagram of the system operation flow.

Detailed ways

The present invention will be further described below in conjunction with the examples, but it should not be understood that the scope of the above-mentioned subject matter of the present invention is limited to the following examples. Without departing from the above-mentioned technical idea of the present invention, various substitutions and changes can be made according to common technical knowledge and conventional means in the field, which shall be included in the protection scope of the present invention.

Example 1:

This embodiment discloses a real-time dynamic energy management and control system based on building energy consumption data. Referring to FIG. 1, the system includes a data monitoring device, a data collector, a database, a data analysis module, an operation control module, an expert modification suggestion providing module and Dynamic limit analysis and management module.

See Table 1 for the monitoring equipment numbers and installation positions of the data monitoring device:

Table 1

The data monitoring device transmits the energy consumption data and operating parameters to the data collector in a wired or wireless manner, and the data collector uploads the real-time data of the building to the database.

The database can store the basic building information, building types, energy consumption data and operating status data of all buildings, etc. If the data cannot be collected by the data monitoring device, such as diesel, gasoline and other data, it can be directly input through the user terminal. stored in the database.

The data analysis module mainly processes and analyzes the data in the database, and includes the following sub-modules: data processing sub-module, real-time data display sub-module, intelligent report generation sub-module, cost statistics sub-module and intelligent alarm sub-module.

Wherein, the data processing sub-module calculates the monitoring data in real time according to preset calculation criteria to obtain relevant indicators, and the calculation criteria and corresponding indicators are as follows:

The measured carbon monoxide concentration is d ₀ .

The measured carbon dioxide concentration in the room is f ₀ .

The measured value of the room temperature is h ₀ .

The measured value of room relative humidity is i ₀ .

The measured value of the room wind speed is j ₀ .

The measured value of room illuminance is k ₀ .

The measured value of room noise is l ₀ .

Calculation method of building average daily water consumption m:

In the formula: t is the measurement time, the unit is d, b0 is the total amount of water inflow from traditional water sources, and b′ ₀ is the total amount of water _outflow from non-traditional water sources.

Building district cooling/heating:

The central cooling capacity of the building is n ₁ .

The central cooling capacity of the building is n ₂ .

Building natural gas consumption is denoted as g ₀ .

The electricity consumption of each part of the air-conditioning system and its proportion:

e₁为空调系统总用电量；The electricity consumption e ₅ of the cold and heat sources, the proportion,

e ₁ is the total electricity consumption of the air-conditioning system;

The electricity consumption e ₆ of the transmission and distribution system, the proportion,

Cooling tower electricity consumption e ₇ , proportion,

The power consumption e ₈ of the wind cabinet and other terminals, the proportion,

The electricity consumption of each part of the lighting system and its proportion:

e₂为照明系统总用电量；The electricity consumption e ₉ of the main functional room, the proportion,

e ₂ is the total electricity consumption of the lighting system;

Electricity consumption in public area e ₁₀ , proportion,

Landscape outdoor landscape lighting electricity consumption e ₁₁ , proportion,

Electricity consumption of each part of the power system and its proportion:

Electricity consumption of water pump in water supply and drainage system e ₁₂ , proportion,

Electricity consumption of non-air-conditioning fans e ₁₃ , proportion,

Electricity consumption of elevator and escalator e ₁₄ , proportion,

Among them, e ₃ is the total power consumption of the power system.

Calculation method of cold and hot water supply and return water temperature: Δh _cold and hot = h ₁ -h ₂ .

In the formula: h ₁ is the temperature at the inlet end of the cold and hot water, and h ₂ is the temperature at the outlet end of the cold and hot water.

Calculation method of chilled water supply and return water temperature: Δh _cooling =h ₃ -h ₄ .

In the formula: _h3 is the cooling water inlet temperature, _h4 is the cooling water outlet temperature.

Efficiency of hot and cold water pumps:

In the formula: ρ is the average density of water, the unit is kg/m ³ , which can be obtained from the physical parameter table according to the water temperature; g is the acceleration of free fall, which is taken as 9.8m/s ² ; t is the measurement time; q ₂ is the hot and cold water pump The pressure value of the water inlet end; q ₃ is the pressure value of the outlet end of the cold and hot water pump; e ₁₅ is the electricity consumption of the cold and hot water pump; m ₀ is the daily average water consumption of the building.

Cooling water pump efficiency:

In the formula: ρ is the average density of water, the unit is kg/m ³ , which can be obtained from the physical parameter table according to the water temperature; g is the acceleration of free fall, which is taken as 9.8m/s ² ; t is the measurement time; m ₀ is the daily average of the building Water consumption; q ₀ is the pressure value of the water outlet of the cooling water pump; q ₁ is the pressure value of the water inlet end of the cooling water pump; e ₁₆ is the electricity consumption of the cooling water pump.

Chiller/Heat Pump COP:

In the formula: Q _s is the average cooling capacity or average heat capacity of the cold and heat source units, in kW. ρ is the density of hot and cold water, in kg/m ³ . c is the specific heat of hot and cold water at constant pressure, in kJ/kg.℃.

Cooling machine/heat pump COP calculation method:

In the formula: t is the measurement time.

Vapor Compression Cold Water/Heat Pump System EER:

And it can be compared with the actual value of the same parameter obtained through data collection, calculation and analysis according to the corresponding specification requirements or energy consumption limit, so as to obtain whether the operation of each indicator is normal, and the calculated data content is retransmitted to the database. store.

The real-time data display sub-module can classify and process basic information and real-time data indicators according to requirements to form numbers, charts and models, such as energy consumption per year, month, day or unit area can be displayed according to energy type, energy consumption sub-item, etc. and many more.

The intelligent report generation sub-module can create report templates according to the user's own needs, and form various types of reports. The information included in the report includes basic building information, equipment information, energy consumption data, monitoring indicators, benchmarking reference indicators and energy costs.

The intelligent alarm sub-module can identify abnormal parameters according to the processing results of the data processing sub-module, and can set alarm values for all indicators. The intelligent alarm sub-module can set sound and light alarms according to user requirements, and send information and emails to users.

The operation control module can put forward control suggestions for the equipment according to the data benchmarking results, and can set automatic control and manual control. Manual regulation can be set by the user to start and stop the equipment and parameter settings in the system, and automatic regulation can automatically adjust or start and stop the relevant equipment according to the priority according to the environmental monitoring data.

The expert reconstruction suggestion providing module has the function of displaying various types of information of different buildings, and the displayed information includes building basic information, equipment information, energy consumption data, operating status data and regulation history of different buildings; the user regulates the module according to the operation and regulation The adjusted benchmarking results provide module input equipment control information and modification information to experts for modification suggestions.

The dynamic energy consumption limit analysis and management module corresponds to the administrator's entry, and managers can obtain relevant information about all buildings in the database and real-time data of energy consumption and operation status, etc. through the administrator account. The category classifies and filters the real-time data, and calculates the measured value E ₀ of the building energy consumption index according to the set algorithm, thereby dynamically generating the energy consumption guide value R and constraint value

生成相应报表。该约束值

与所述智能报警模块中的动态能耗限额相对应，实时指导单栋建筑。Through the dynamic limit analysis and management module, the user invokes the relevant information of all buildings, real-time data of energy consumption and operation status stored in the database. The dynamic limit analysis and management module classifies and filters the real-time data according to the building category, and calculates the measured value E ₀ of the building energy consumption index according to the set algorithm, thereby dynamically generating the energy consumption guide value R and the constraint value

Generate corresponding reports. the constraint value

Corresponding to the dynamic energy consumption limit in the intelligent alarm module, it guides a single building in real time.

The calculation formula of the measured value of the building energy consumption index is:

In the formula: E _o is the measured value of the building energy consumption index, and the unit is kgce/(m ² ·a). E _i is the physical quantity of type i energy consumed, and the unit is the unit of each physical quantity. K _i is the converted standard coal coefficient of the i-th type of energy. n is the number of energy types consumed by the building. A is the building area, the unit is m ² .

The binding index uses the average value of the overall sample, and the calculation formula is:

为样本均值。E_on为某类型单栋建筑的建筑能耗指标实测值。where:

is the sample mean. E _on is the measured value of the building energy consumption index of a certain type of single building.

The binding index is calculated according to the limit level method, and the calculation formula is as follows:

In the formula: R is the statistical limit value. σ is the sample standard deviation. Z _α is the corresponding standard normal distribution probability density value when the cumulative probability is (1-α), corresponding to the limit level. The energy consumption limit level α is set between 0.15-0.30.

A method for using a real-time dynamic energy management and control system based on building energy consumption data, as shown in Figure 2, includes the following steps:

1) According to the provisions of "Energy Conservation Inspection Standard for Public Buildings" (JGJ/T 177-2009) and "Green Building Energy Conservation Inspection Standard" (CSUS/GBC 05–2014), reasonably arrange each measuring point, install monitoring equipment, and set initial parameters , to debug the data transfer function.

2) The data monitoring device monitors various indicators, and transmits monitoring data to the data collector in a wired or wireless manner. Among them, the various indicators include equipment data, equipment energy consumption and environmental indicators. When the data cannot be collected by monitoring equipment, such as diesel, gasoline and other data, the user can store the data in the database through the direct input of the user terminal.

3) The data collector uploads the real-time monitoring data to the 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 module analyzes the energy consumption status of the building according to the benchmarking result of the data analysis module, thereby setting automatic regulation and/or manual regulation, and benchmarking the regulated data again. When the benchmarking result of this step still does not meet the standard, go to step 6);

6) The user provides the module input device regulation information and the transformation information to the expert transformation suggestion according to the benchmarking result adjusted by the operation regulation module, and performs the regulation again until the benchmarking result meets the standard.

和约束性指标R；通过所述约束性指标R对单栋建筑进行实时指导。7) The dynamic limit analysis and management module processes the energy consumption data in the database in real time, and calculates the measured value E _o and the constraint value of the building energy consumption index

and the binding index R; the single building is guided in real time through the binding index R.

The data after the dynamic energy consumption limit value calculation is compared with the local energy consumption limit standard. When the value is greater than the local standard, the local standard is used. When there is no local energy consumption limit, the calculated data of the dynamic energy consumption limit value is compared with the national limit. When the value is greater than the national standard, the national standard is used.

Claims (5)

1. A real-time dynamic energy management and control system based on building energy consumption data is characterized in that: comprising data monitoring device, data collector, database, data analysis module, operation control module, expert reconstruction suggestion providing module and dynamic limit analysis management module ; The data monitoring device collects the energy consumption data and operating parameters of the building and transmits them to the data collector; the data collector uploads the real-time data of the building to the database; the content stored in the database includes all basic building information, building types , energy consumption data and operating status data; 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 includes 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, thereby obtaining several indicators; the data processing submodule performs benchmarking processing on each indicator, and retransmits the calculated data and benchmarking results to the database; The real-time data display sub-module classifies and processes the basic information and real-time data indicators of the building to form numbers, charts and models; The cost statistics sub-module calculates various energy costs and total energy costs of the building according to the electricity, water, gas, and coal usage counted by the energy management and control system; The intelligent report generation sub-module forms a report based on a report template; the information included in the report includes basic building information, equipment information, energy consumption data, monitoring indicators, benchmarking reference indicators and energy costs; The intelligent alarm sub-module sets corresponding alarm values for each index calculated by the data processing sub-module, sets sound and/or light alarms, and sends information to the manager at the same time; The operation control module puts forward control suggestions for the equipment according to the benchmarking results of various indicators, and sets automatic control and/or manual control; The manual adjustment is performed by the user to start and stop the equipment and parameter settings in the system, and the automatic adjustment automatically adjusts or starts and stops the relevant equipment according to the priority according to the environmental monitoring data; The expert reconstruction suggestion providing module has the function of displaying various types of information of different buildings, and the displayed information includes building basic information, equipment information, energy consumption data, operating status data and regulation history of different buildings; the user regulates the module according to the operation and regulation The adjusted benchmarking result provides the module input equipment control information and modification information to experts for modification suggestions; The dynamic limit analysis and management module invokes the real-time data of the relevant information, energy consumption and operating status of all buildings stored in the database, uses the cluster analysis method to classify different types of buildings, and sets different types of buildings for different types of buildings. Energy consumption limit; calculate the measured value E ₀ of the building energy consumption index, so as to dynamically generate the constraint value

and energy consumption guide value R; Wherein, the calculation formula of the measured value E ₀ of the building energy consumption index is:

In the formula: E _o is in kgce/(m ² ·a); E _i is the physical quantity of type i energy consumed, and the unit is the unit of each physical quantity; K _i is the conversion coefficient of standard coal for type i energy; n is the number of energy types consumed by the building; A is the building area, in m ² ; the constraint value

The calculation formula is:

where:

is the sample mean or constraint value, and E _on is the measured value of the building energy consumption index of a certain type of single building; The calculation formula of the energy consumption guide value R is:

In the formula: R is the statistical limit value or energy consumption guide value, σ is the sample standard deviation, Z _α is the corresponding standard normal distribution probability density value when the cumulative probability is (1-α), 0.15≤α≤0.30; The method for using a real-time dynamic energy management and control system based on building energy consumption data includes the following steps: 1) Arrange each measuring point, install the data monitoring device, set the initial parameters, and debug the data transmission function; 2) The data monitoring device monitors various indicators, and transmits the monitoring data to the data collector; wherein, the various indicators include equipment data, equipment energy consumption and environmental indicators; 3) The data collector uploads the real-time monitoring data to the 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 module analyzes the energy consumption status of the building according to the benchmarking result of the data analysis module, thereby setting automatic regulation and/or manual regulation, and benchmarking the regulated data again; when the benchmarking result of this step is performed If it still does not meet the standard, go to step 6); 6) The user provides the module input device regulation information and the transformation information to the expert transformation suggestion according to the benchmarking result adjusted by the operation regulation module, and performs the regulation again until the benchmarking result meets the standard; 7) The dynamic limit analysis and management module processes the energy consumption data in the database in real time, and calculates the measured value E _o and the constraint value of the building energy consumption index

And the binding index R: the single building is guided in real time through the binding index R. 2 . The real-time dynamic energy management and control system based on building energy consumption data according to claim 1 , wherein the data monitoring device transmits the monitoring data to the data collector in a wired and/or wireless manner. 3 . 3. A real-time dynamic energy management and control system based on building energy consumption data according to claim 1, characterized in that: when some data cannot be collected by the data monitoring device, the user stores the data to In the database, this type of data includes the data information of diesel and gasoline. 4. A kind of real-time dynamic energy management and control system based on building energy consumption data according to claim 1, is characterized in that: the index that described data processing sub-module calculates and calculation criterion are as follows: (1) Carbon monoxide concentration in underground garage, the measured value of carbon monoxide concentration is d ₀ ; (2) Monitor the carbon dioxide concentration in the room, and the measured value of the room carbon dioxide concentration is f ₀ ; (3) Monitor the room temperature, and the measured value of the room temperature is h ₀ ; (4) Monitor the relative humidity of the room, and the measured value of the relative humidity of the room is i ₀ ; (5) Monitor the wind speed of the room, and the measured value of the room wind speed is j ₀ ; (6) Monitor room illuminance, and the measured value of room illuminance is k ₀ ; (7) Monitoring room noise, the measured value of room noise is l ₀ ; (8) Calculation method of building average daily water consumption m ₀ :

In the formula: t is the measurement time, the unit is d; b ₀ is the total amount of water inflow from traditional water sources; b′ ₀ is the total amount of water effluent from non-traditional water sources; (9) Building central cooling/heating, the building central cooling capacity is n ₁ , and the building central heat supply is n ₂ ; (10) Building gas consumption g, and building natural gas gas consumption is denoted as g ₀ ; (11) The electricity consumption of each part of the air-conditioning system and its proportion, the electricity consumption of cooling and heat sources e ₅ , the proportion

e ₁ is the total electricity consumption of the air-conditioning system; the electricity consumption of the transmission and distribution system e ₆ , the proportion of

Cooling tower electricity consumption e ₇ , percentage

The electricity consumption at the end of the wind cabinet e ₈ , the proportion

(12) Electricity consumption and proportion of each part of lighting system, electricity consumption e ₉ of main functional rooms, proportion:

e ₂ is the total electricity consumption of the lighting system; the electricity consumption of the public area e ₁₀ , the proportion:

Landscape outdoor landscape lighting electricity consumption e ₁₁ , proportion:

(13) Electricity consumption of each part of the power system and its proportion: Electricity consumption of water pump in water supply and drainage system e ₁₂ , proportion:

Electricity consumption of non-air-conditioning fans e ₁₃ , proportion:

Electricity consumption of elevator and escalator e ₁₄ , proportion:

Among them, _e3 is the total power consumption of the power system; (14) The temperature of cold and hot water supply and return water, the calculation method of cold and hot water supply and return water temperature: Δh _cold and hot = h ₁ -h ₂ ; In the formula: h ₁ is the temperature at the inlet end of the cold and hot water, and h ₂ is the temperature at the outlet end of the cold and hot water; (15) The cooling water supply and return water temperature, the calculation method of the chilled water supply and return water temperature: Δh _cooling =h ₃ -h ₄ ; In the formula: _h3 is the cooling water inlet temperature, _h4 is the cooling water outlet temperature; (16) Efficiency of cold and hot water pumps,

In the formula: ρ is the average density of water (kg/m ³ ); g is the acceleration of free fall, which is taken as 9.8 (m/s ² ); t is the measurement time; q ₂ is the water inlet pressure value of the hot and cold water pump; q ₃ is the pressure value of the outlet end of the hot and cold water pump; e ₁₅ is the electricity consumption of the hot and cold water pump; m ₀ is the daily average water consumption of the building; (17) cooling water pump efficiency,

In the formula: ρ is the average density of water (kg/m ³ ), g is the acceleration of free fall, take 9.8 (m/s ² ), t is the measurement time; m ₀ is the daily average water consumption of the building; q ₀ is the cooling water pump The pressure value of the water outlet; q ₁ is the pressure value of the inlet end of the cooling water pump; e ₁₆ is the electricity consumption of the cooling water pump; (18) Cooler/Heat Pump COP:

In the formula: Q _s is the average cooling or heat supply of the cold and heat source unit, in kW, ρ is the density of cold and hot water, in kg/m3, c is the specific heat of cold and hot water at constant pressure, in kJ/kg. °C; Cooling machine/heat pump COP calculation method:

In the formula: t is the measurement time; (19) Vapor compression chilled water or heat pump system EER:

5. A real-time dynamic energy management and control system based on building energy consumption data according to claim 1, characterized in that: the constraint value generated by the dynamic limit analysis and management module

Corresponds to the alarm value in the intelligent alarm sub-module.

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