CN113885367A - Building energy efficiency management control system and method - Google Patents
Building energy efficiency management control system and method Download PDFInfo
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Abstract
The invention discloses a building energy efficiency management control system, which comprises a cloud side subsystem, a pipe network subsystem, a side subsystem and a side subsystem, wherein the cloud side subsystem, the pipe network subsystem, the side subsystem and the side subsystem form a cloud-pipe-side-end architecture; the operation data and the energy prediction data of the equipment in the building energy utilization system are read at the end side, the operation optimization scheme of the equipment is obtained through calculation on the basis of the optimization target and the constraint condition on the cloud side, and the equipment is adjusted on the end side according to the operation optimization scheme of the equipment. The invention forms a one-stop solution for building energy management based on a cloud-pipe-side-end structure, and meets the energy-saving, environment-friendly and comfortable energy utilization requirements of users.
Description
Technical Field
The invention belongs to the technical field of comprehensive energy user side energy management, and particularly relates to a building energy efficiency management control system based on a 'cloud-pipe-side-end' architecture, and a building energy efficiency management control method based on the 'cloud-pipe-side-end' architecture.
Background
Energy is an important guarantee for human development and social progress, most production and life cannot be supported by the energy, and the proportion of building energy in all energy is about 30%. Building energy consumption is an important unit of social energy consumption, and a building intelligent energy system is the basis for realizing regional energy Internet. With the diversified development of building energy demand and the increase of energy consumption, how to meet the requirement of users on pursuing safe, comfortable and convenient energy consumption is the key of user-side energy transformation on the basis of providing user comfort experience, so that the energy conservation, consumption reduction, emission reduction, reduction of user energy cost and improvement of user energy experience are achieved.
According to the traditional control method, various energy supply devices are manually controlled, unified management and control of a centralized control system are lacked, cooperation of multiple energy sources such as photovoltaic energy, electricity storage energy, commercial power and gas cannot be realized, and the comprehensive energy efficiency level is generally low. On the other hand, the multi-energy operation strategy is not adjusted according to the power demand response instruction or the electricity price fluctuation condition without participating in the interactive adjustment of the power system, so that the energy consumption cost is higher, the comprehensive energy efficiency is lower, and the energy conservation and emission reduction have larger improvement and promotion space.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, provides a building energy efficiency management control system and method, and solves the problem of independent control of various energy sources in the building multi-energy utilization process.
In order to solve the technical problems, the invention provides the following technical scheme.
In a first aspect, the invention provides a building energy efficiency management control system, which comprises a cloud side subsystem, a pipe network subsystem, a side subsystem and an end side subsystem, wherein the cloud side subsystem, the pipe network subsystem, the side subsystem and the end side subsystem form a cloud-pipe-edge-end architecture;
the end side subsystem is used for reading operation data and/or energy prediction data of equipment in the building energy utilization system and uploading the read data to the end side subsystem; and adjusting the output of the equipment according to the operation optimization scheme of the equipment issued by the side subsystem;
the side subsystem is used for receiving the data uploaded by the side subsystem and uploading the data to the cloud side subsystem; forwarding the operation optimization scheme of the equipment issued by the cloud side subsystem to the end side subsystem;
the pipe network subsystem is used for connecting the side subsystem with the cloud side subsystem to perform data interaction;
and the cloud side subsystem is used for inputting the received data uploaded by the side subsystem into an optimization target selected according to requirements, calculating an operation optimization scheme of the equipment under the condition that constraint conditions are met, and issuing the operation optimization scheme of the equipment to the side subsystem.
Further, the building energy consumption system includes energy supply equipment and energy consumption equipment, and wherein energy supply equipment includes: the energy utilization equipment comprises one or more of an electric automobile charging pile, a building heating load, a cold water load, a hot water load, a lighting load and other power utilization loads.
Furthermore, the side subsystem is further configured to perform data cleaning processing on the received data uploaded by the side subsystem.
Further, the tube-side subsystem includes one or more of the internet, fiber, 4G network, and 5G network.
Furthermore, the operation optimization scheme of the device comprises the steps of adjusting photovoltaic power generation absorption power, electric storage device output power, heat storage type electric boiler power consumption power and gas boiler output power.
In a second aspect, the invention further provides a building energy efficiency management control method based on the system, which includes the following processes:
reading operation data and/or energy prediction data of equipment in the building energy utilization system;
inputting data into an optimization target selected according to requirements, and calculating to obtain an operation optimization scheme of the equipment under the condition of meeting constraint conditions;
and adjusting the output of the equipment according to the operation optimization scheme of the equipment.
The energy system is used to building includes energy supply equipment and energy consumption equipment, and wherein energy supply equipment includes: the energy utilization equipment comprises one or more of an electric automobile charging pile, a building heating load, a cold water load, a hot water load, a lighting load and other power utilization loads.
Further, after reading the data, the method further includes: and performing data cleaning processing on the read data to obtain processed data.
Further, the energy prediction data is photovoltaic power prediction data PPV(t), the photovoltaic power prediction data is specifically calculated according to the following formula:
in the formula, PsTCThe maximum output power of the battery panel under the standard test condition; gsTCIs a standard test illumination intensity; g (t) is the actual illumination intensity of the solar panel in the time period t when the solar panel works; k is a radical ofTIs power ofTemperature coefficient, value-0.47%/K; t isSTCAs reference temperature, value 25 ℃; t isaAnd (t) is the actual temperature of the working environment of the photovoltaic cell panel at the t time period.
Further, the constraint conditions include:
1) conditional constraint of electrical balance
PPV，1(t)+Pst，1(t)+Pgrid(t)＝Pload(t)+PEE(t)+Pother(t)+PEC(t)+PEH(t) (2)
In the formula: pPV，1(t) is the power dissipated by photovoltaic power generation during the time period t, Pst，1(t) the output power of the power storage equipment in the period of t, wherein the value of more than 0 represents the discharge of the power storage equipment, and the value of less than 0 represents the charge of the power storage equipment; pgrid(t) the commercial power used by the building energy consumption system in the period of t; pload(t) represents the lighting load demand of the building energy system during the period t; pEE(t) representing the electric load demand of the electric automobile charging pile at the time period t; pother(t) represents other electrical load demands during time t; pEC(t) represents the air source heat pump power consumption for a period of t; pEH(t) represents the power consumption of the heat accumulating type electric boiler in the time period t;
2) constraint of thermal equilibrium condition
αheatPEH(t)+Pb，gas(t)+Pst，2(t)＝Pheat，1(t)+Pheat，2(t) (3)
In the formula: pb，gas(t) represents the output heat load power of the gas boiler during the period t; pst，2(t) the output power of the heat storage equipment in the period of t, wherein the value of more than 0 represents the heat release of the heat storage equipment, and the value of less than 0 represents the heat charging of the heat storage equipment; pheat，1(t) represents the building heating load demand during the time period t; pheat，2(t) represents a hot water load demand for a period of t; alpha is alphaheatRepresenting the heating coefficient of the heat accumulating type electric boiler;
3) cold balance condition constraints
αcoolPEC(t)＝Pcool(t) (4)
In the formula: pcool(t) for building systems during t-th timeA cold load demand; alpha is alphacoolThe refrigeration coefficient of the air source heat pump;
4) energy storage device charging/discharging balance condition constraints
Within an operation optimization period T (usually one day), if the time for the energy storage device to start working is T0Then, it should be:
in the formula: est，i(t0) Indicating the ith type of energy storage device t0The residual capacity of the time interval is the initial capacity of the energy storage equipment; Δ t is an operation optimization time period, and optionally, Δ t is 1 h;
indicating the ith type of energy storage device
The remaining capacity of the time period;
the residual capacity of the ith energy storage equipment in the initial state is represented; when the value of i is 1, the power storage equipment is represented, and when the value of i is 2, the heat storage equipment is represented;
5) upper and lower limit constraints for energy supply equipment
In the formula, Pin，k，max、Pin，k(t) respectively representing the maximum allowable input electric/natural gas power of kth equipment in the building energy consumption system and the input electric/natural gas power in a t period; pout，k，max、Pout，k(t) respectively representing the maximum output electric/cold/hot power allowed by the kth equipment in the functional system for the building and the output electric/cold/hot power in the t period; t isin，k，max、Tin，k(t) represents the maximum allowable entrance of the kth equipment in the energy consumption system of the building respectivelyWater temperature, inlet water temperature at t time; t isout，k，max、Tout，k(t) respectively representing the maximum water outlet temperature allowed by the kth equipment in the building energy consumption system and the water outlet temperature in the t time period; preout，k，max、Preout，k(t) respectively representing the maximum water outlet pressure allowed by the kth equipment in the building energy consumption system and the water outlet pressure in the t time period; qout，k，max、Qout，kAnd (t) respectively represents the maximum water outlet flow allowed by the kth equipment in the building energy consumption system and the water outlet flow in the t period.
Further, the optimization objectives include: any one or more combinations of economic optimization indexes, clean energy consumption optimization indexes, comprehensive energy efficiency optimization indexes and reliability optimization indexes comprise:
1) economic optimization index
In the formula, prgrid(t)、prgas(t) the time-of-use electricity price of the power grid and the time-of-use gas price of the natural gas at the time of t time period are respectively; etagasThe heating efficiency of the gas boiler is improved; q. q.sgasThe low calorific value of the natural gas; t represents the operational optimization period of the building management control system, typically one day;
economic optimization index F1The economic indicator is an index for measuring the economic efficiency of the building management control system in one period, and the lower the value is, the better the economic efficiency is;
2) optimized index of clean energy consumption
In the formula, Quse，tRepresenting the time period t to consume the energy generated by the photovoltaic power generation; qout，tRepresenting the generating energy of photovoltaic power generation in a period t;
clean energy consumption optimization index F2The index for measuring the consumption rate of clean energy in one period of the building management control system is a moleculeThe total energy generated by photovoltaic power generation is absorbed in each period, and the denominator refers to the total energy generated by photovoltaic power generation in one period; higher values represent better clean energy consumption;
3) comprehensive energy efficiency optimization index
In the formula, wout，k(t) represents the output energy of the kth equipment in the building energy system in the t period; w is ain，k(t) input energy of a kth device in the building energy system in a t period is represented; k represents the total number of all energy supply equipment in the building energy consumption system;
comprehensive energy efficiency optimization index F3Measuring an index of comprehensive energy efficiency of a building management control system in one period, wherein a numerator refers to total energy output by all energy supply equipment in one period, and a denominator refers to total energy input by all energy supply equipment in one period; the higher the value is, the more excellent the comprehensive energy efficiency is;
4) index of reliability optimization
Reliability optimization index F4The system power shortage rate is used for measuring the ratio of the system power shortage amount in a certain period to the total required power amount of the system in the period; the numerator represents the power shortage amount of the system in a certain period, and the denominator represents the total power demand amount of the system in the certain period; a lower value represents better reliability.
Further, the operation optimization scheme of the equipment comprises the regulation of the photovoltaic power generation absorption power PPV，1(t) power output P of the electricity storage devicest，1(t) Heat storage apparatus output Power Pst，2(t) power consumption P of heat accumulating electric boilerEH(t) gas boiler output power Pb，gas(t)。
In a third aspect, the present invention also provides a computer-readable storage medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the steps in the building energy management control method as described above.
In a fourth aspect, the present invention also provides a computer device, which includes a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of the building energy efficiency management control method.
Compared with the prior art, the invention has the following beneficial effects: the building energy efficiency management control system realizes real-time monitoring of energy consumption and power generation through the Internet of things technology and the intelligent cloud platform technology, and the building energy consumption service system deployed at the cloud end analyzes energy consumption behaviors of consumers so as to provide an optimal energy consumption mode operation mode for users; the distributed photovoltaic power generation, the electricity storage and the heat storage of the building are combined to form a one-stop solution for building energy management, and the energy-saving, environment-friendly and comfortable energy utilization requirements of users are met. The following advantages mainly form:
1) the building energy efficiency management control system collects information of energy supply and energy utilization equipment of a plurality of energy combinations of cold, heat, electricity and gas in the building energy utilization system, and realizes the cooperative energy efficiency management of cold/heat/electricity/gas energy;
2) and considering an economic optimization index, a clean energy consumption optimization index, a comprehensive energy efficiency optimization index and a reliability optimization index corresponding to the economic requirement, the clean energy consumption requirement, the comprehensive energy efficiency requirement and/or the reliability requirement, selecting an optimization target from the four optimization indexes according to the requirement, providing a building energy supply equipment output optimization strategy and control, and cooperatively controlling the energy supply equipment in real time.
Drawings
FIG. 1 is a block diagram of a building energy system according to the present invention;
FIG. 2 is a building energy efficiency management control system architecture diagram based on a "cloud-pipe-edge-end" architecture in the present invention;
fig. 3 is a diagram of a cooperative operation mode of user terminal devices in the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
In the prior art, a building energy utilization system mainly comprises any number of energy combinations of heat energy, electricity energy, cold energy and gas energy. The embodiment of the invention is described by a heat, electricity, cold and gas energy combination system. As shown in fig. 1, the building energy utilization system of the present invention includes: commercial power, photovoltaic power generation, power storage equipment, a building distribution network, an electric vehicle charging pile, an illumination load and other electrical loads; the heat storage type electric boiler, the gas boiler, the building heating network, the building heating load, the hot water load, the heat storage equipment, the air source heat pump, the building cooling network and the cold load. The building power distribution network connects photovoltaic power generation at an electric energy output side, commercial power, electric vehicle charging piles at a power storage and load side, lighting loads and other electric loads together; the building heat supply network connects a heat accumulating type electric boiler and a gas boiler on the heat energy output side, building heating loads and hot water loads on the heat accumulation and load sides; the building cold supply network connects the air source heat pump at the cold energy output side and the cold load at the load side together. The commercial power supplies power for the heat accumulating type electric boiler and the air source heat pump.
As shown in fig. 2, a building energy efficiency management control system architecture based on a "cloud-pipe-edge-end" architecture is formed based on the building energy utilization system. The cloud is a cloud side subsystem, is deployed on the regional energy utilization service platform, and is used for inputting received data uploaded by the side subsystem into an optimization target selected according to requirements, calculating an operation optimization scheme of the equipment under the condition that constraint conditions are met, and issuing the operation optimization scheme of the equipment to the side subsystem, so that monitoring, diagnosis, data storage, prediction output (photovoltaic output prediction) and instruction issuing (demand response and market transaction instructions) of the building energy utilization control system can be realized. The management system comprises a management network subsystem, a communication layer and a plurality of communication networks, wherein the management network subsystem comprises the internet, optical fibers, a 4G network and a 5G network, the 4G network and the 5G network can be public networks or private networks, can support two modes of wired communication and wireless communication, and is used for connecting a side subsystem with a cloud side subsystem to perform data interaction; the building energy utilization control system comprises building energy utilization control system intelligent sensing, energy utilization/energy supply data transmission channels and fusion communication. The 'side' refers to a side subsystem, namely an edge computing terminal, a local edge routing controller is deployed in each building, data diagnosis, strategy generation and issuing are carried out on bottom layer energy utilization/supply equipment, and the data diagnosis, strategy generation and issuing are carried out, wherein the data diagnosis, strategy generation and issuing comprise the steps of receiving data uploaded by the side subsystem and uploading the data to a cloud side subsystem; forwarding the operation optimization scheme of the equipment issued by the cloud side subsystem to the end side subsystem; and energy source collaborative optimization of the energy supply side is realized. The terminal is an end-side subsystem, namely a user terminal, which is used for realizing information acquisition and actual control of all bottom-layer energy utilization/supply equipment of a building user, and comprises the steps of reading operation data and/or energy prediction data of equipment in a building energy utilization system and uploading the read data to the end-side subsystem; and adjusting the output of the equipment according to the operation optimization scheme of the equipment issued by the side subsystem. The building energy system comprises energy supply equipment and energy utilization equipment, wherein the energy supply equipment comprises one or more of a photovoltaic power generation system, electricity storage equipment, heat storage equipment, a heat storage type electric boiler, a gas boiler and an air source heat pump unit, and the energy utilization equipment comprises an electric automobile charging pile, building heating loads, building cold, heat and electric load equipment and the like, such as cold water loads, hot water loads, lighting loads, other electric loads and the like.
Preferably, the side subsystem is further configured to perform a data cleansing process on the received data uploaded by the side subsystem.
The building energy efficiency management control system based on the 'cloud, pipe, side and end' architecture comprises a cloud side subsystem (cloud side for short), a pipe network subsystem (communication pipe network for short), a side subsystem (side for short) and an end side subsystem (end side for short), wherein the cloud side subsystem is connected with the side subsystem and the end side subsystem through the pipe network subsystem, and data interaction among the cloud side, the side and the end side is realized through a communication pipe network channel. The building energy efficiency management control system is characterized in that acquisition equipment, a load control terminal and other equipment are installed on the end side, lower-layer data are acquired and controlled through the end-side equipment, the edge terminal is installed on the side to process the acquired data, the edge terminal comprises an energy gateway, an energy network node information monitoring and control terminal and other equipment, a supply and demand prediction result and an optimization control strategy are generated on the cloud side, the side is issued through a communication pipe network and executed on the end side, the optimization control strategy comprises an operation optimization scheme of the equipment, the operation optimization scheme of the equipment comprises the adjustment of photovoltaic power generation absorption power, the power output of electric storage equipment, the power output of the electric storage equipment, the power consumption of a heat accumulating type electric boiler and the output power of a gas boiler. The heat, electricity, cold and gas energy coordination optimization control of the building energy utilization system is realized, the energy supply efficiency is improved, the energy utilization cost of the whole building is reduced, the energy utilization system participates in the power grid demand response, and the friendly interaction between a user and a power grid is realized.
As shown in fig. 3, based on the building energy efficiency management control system architecture, the invention provides a building energy efficiency management control method based on a "cloud-pipe-edge-end" architecture, which includes:
step 1, reading the prediction data of the building energy efficiency management control system, wherein the process is finished at an end side, and mainly reading the photovoltaic power prediction data PPV(t), the photovoltaic power prediction data is mainly obtained by calculation according to predicted meteorological data and is mainly related to a subsequent photovoltaic power generation output mode, and the specific calculation formula is as follows:
in the formula, PSTCObtaining the maximum output power of the battery plate under the standard test condition from the performance parameters of the equipment; gSTCIs a standard test illumination intensity; g (t) is the actual illumination intensity of the solar panel in the time period t when the solar panel works, and is obtained from weather forecast data; kT is the power temperature coefficient, and has a value of-0.47%/K; t isSTCAs reference temperature, value 25 ℃; t isaAnd (t) the actual temperature of the working environment of the photovoltaic cell panel at the time t, which is obtained from weather forecast data.
And 2, reading the operation data of the building energy efficiency management control system, wherein the process is also finished at the 'end' side, and the power consumption/generation power of each energy supply device, the residual capacity of the electricity storage device, the residual capacity of the heat storage device and the load requirements of the energy utilization devices are mainly read. The data are mainly used for electric/heat/cold balance condition constraint, electric storage equipment charging/discharging energy balance condition constraint and energy supply equipment upper and lower limit constraint, and are related to the subsequent electric storage operation mode and heat storage operation mode.
The building energy efficiency management control system reads operation data, and also needs to read water inlet temperature of the gas boiler and the heat accumulating type electric boiler, water outlet flow of the gas boiler and the heat accumulating type electric boiler, water outlet pressure of the gas boiler and the heat accumulating type electric boiler, water inlet temperature of the air source heat pump, water outlet flow of the air source heat pump and water outlet pressure of the air source heat pump. The data are mainly used for upper and lower limit constraints of energy supply equipment and are related to the subsequent operation modes of the heat accumulating type electric boiler and the gas boiler.
And the building energy efficiency management control system is provided with acquisition equipment at the user terminal and feeds back the data read by the real-time operation to the edge terminal.
And 3, cleaning data of the building energy efficiency management control system, completing the process at the 'side', and identifying and eliminating bad data according to the building energy consumption system prediction data and the system real-time operation data in the steps 1 and 2. Here, the bad data is dirty data, which means erroneous, misleading, and illegal format data information.
And 4, generating constraint conditions of the building energy efficiency management control system, wherein the process is completed on a 'cloud' side, and based on the data which is subjected to bad data identification and elimination in the step 3, the data is uploaded to a cloud server through a 'management' side of an optical fiber/5G private network to generate the constraint conditions.
The concrete expression is the following five constraints:
1) conditional constraint of electrical balance
PPV，1(t)+Pst，1(t)+Pgrid(t)＝Pload(t)+PEE(t)+Pother(t)+PEC(t)+PEH(t) (2)
In the formula: pPV，1(t) is the power dissipated by photovoltaic power generation during the time period t, Pst，1(t) the output power of the power storage equipment in the period of t, wherein the value of more than 0 represents the discharge of the power storage equipment, and the value of less than 0 represents the charge of the power storage equipment; pgrid(t) the commercial power used by the building energy consumption system in the period of t; pload(t) represents the lighting load demand of the building energy system during the period t; pEE(t) representing the electric load demand of the electric automobile charging pile at the time period t; pother(t) represents other electrical load demands during time t; pEC(t) represents the air source heat pump power consumption for a period of t; pEHAnd (t) represents the consumed electric power of the regenerative electric boiler in the period of t.
2) Constraint of thermal equilibrium condition
αheatPEH(t)+Pb，gas(t)+Pst，2(t)＝Pheat，1(t)+Pheat，2(t) (3)
In the formula: pb，gas(t) represents the output heat load power of the gas boiler during the period t; pst，2(t) the output power of the heat storage equipment in the period of t, wherein the value of more than 0 represents the heat release of the heat storage equipment, and the value of less than 0 represents the heat charging of the heat storage equipment; pheat，1(t) represents the building heating load demand during the time period t; pheat，2(t) represents a hot water load demand for a period of t; alpha is alphaheatRepresents the heating coefficient of the regenerative electric boiler.
3) Cold balance condition constraints
αcoolPEC(t)＝Pcool(t) (4)
In the formula: pcool(t) represents the cold load demand of the building system during time t; alpha is alphacoolThe refrigeration coefficient of the air source heat pump.
4) Energy storage device charging/discharging balance condition constraints
Within an operation optimization period T (usually one day), if the time for the energy storage device to start working is T0Then, it should be:
in the formula: est，i(t0) Indicating the ith type of energy storage device t0The residual capacity of the time interval is the initial capacity of the energy storage equipment; the delta t is an operation optimization time interval, and the delta t is taken as 1 h;
indicating the ith type of energy storage device
The remaining capacity of the time period;
the residual capacity of the ith energy storage equipment in the initial state is represented; and when the value of i is 1, the power storage equipment is represented, and when the value of i is 2, the heat storage equipment is represented.
5) Upper and lower limit constraints for energy supply equipment
In the formula, Pin，k，max、Pin，k(t) respectively representing the maximum allowable input electric/natural gas power of kth equipment in the building energy consumption system and the input electric/natural gas power in a t period; pout，k，max、Pout，k(t) respectively representing the maximum output electric/cold/hot power allowed by the kth equipment in the functional system for the building and the output electric/cold/hot power in the t period; t isin，k，max、Tin，k(t) respectively representing the maximum water inlet temperature allowed by the kth equipment in the building energy consumption system and the water inlet temperature in the t time period; t isout，k，max、Tout，k(t) respectively representing the maximum water outlet temperature allowed by the kth equipment in the building energy consumption system and the water outlet temperature in the t time period; preout，k，max、Preout，k(t) respectively representing the maximum water outlet pressure allowed by the kth equipment in the building energy consumption system and the water outlet pressure in the t time period; qout，k，max、Qout，kAnd (t) respectively represents the maximum water outlet flow allowed by the kth equipment in the building energy consumption system and the water outlet flow in the t period.
And 5, generating and solving an optimization model of the building energy efficiency management control system, wherein the process is also completed on a 'cloud' side, and the cloud server selects an optimization target according to the self requirement of a user and solves the optimization target based on the constraint condition generated in the step 4, so that the output condition of each energy supply device under the constraint condition is obtained.
The user's own needs mainly include economic demand, clean energy consumption demand, comprehensive energy efficiency demand and/or reliability demand, correspond to economic optimization index, clean energy consumption optimization index, comprehensive energy efficiency optimization index and reliability optimization index respectively, choose the optimization goal from four optimization indexes, can be any kind or combination of multiple optimization indexes. The specific expression of the optimization index is as follows:
1) economic optimization index
In the formula, prgrid(t)、prgas(t) the time-of-use electricity price of the power grid and the time-of-use gas price of the natural gas at the time of t time period are respectively; etagasThe heating efficiency of the gas boiler is improved; q. q.sgasFor low heating value of natural gas, T represents the period of operation optimization of the building management control system, typically one day.
Economic optimization index F1Is an index for measuring the economy of the building management control system in one period, the lower the value is, the better the economy is, and further P can be obtainedgrid(t)、Pb，gas(t) these two quantities. Under the conditions of meeting the constraints of cold/heat/electricity, energy charging/discharging balance conditions of energy storage equipment and the constraints of the upper limit and the lower limit of energy supply equipment, the adjusted photovoltaic power generation absorption power P is further obtainedPV，1(t) power output P of the electricity storage devicest，1(t) Heat storage apparatus output Power Pst，2(t) power consumption P of heat accumulating electric boilerEH(t) gas boiler output power Pb，gas(t)。
2) Optimized index of clean energy consumption
In the formula, Quse，tRepresenting the time period t to consume the energy generated by the photovoltaic power generation; qout，tRepresenting the generating energy of photovoltaic power generation in a period t; t denotes the operational optimization period of the building management control system, typically one day.
Clean energy consumption optimization index F2Measuring an index of the consumption rate of clean energy in one period of a building management control system, wherein a numerator refers to the total energy consumed and utilized by photovoltaic power generation in one period, and a denominator refers to the total energy of the photovoltaic power generation in one period; higher values represent better clean energy consumption, and P can be obtainedPV，1(t) this amount. Under the conditions of meeting the constraints of cold/heat/electricity, energy charging/discharging balance conditions of energy storage equipment and the constraints of upper and lower limits of energy supply equipment, the photovoltaic power generation absorption power P is further obtainedPV，1(t) power output P of the electricity storage devicest，1(t) Heat storage apparatus output Power Pst，2(t) power consumption P of heat accumulating electric boilerEH(t) gas boiler output power Pb，gas(t)。
3) Comprehensive energy efficiency optimization index
In the formula, wout，k(t) represents the output energy of the kth equipment in the building energy system in the t period; w is ain，k(t) input energy of a kth device in the building energy system in a t period is represented; k represents the total number of all energy supply equipment in the building energy utilization system.
Comprehensive energy efficiency optimization index F3Measuring an index of comprehensive energy efficiency of a building management control system in one period, wherein a numerator refers to total energy output by all energy supply equipment in one period, and a denominator refers to total energy input by all energy supply equipment in one period; the higher the valueThe more excellent the comprehensive energy efficiency is represented, and further the photovoltaic power generation absorption power P can be further obtained under the conditions of meeting the cold/heat/electricity and energy charging/discharging balance condition constraint of energy storage equipment and the upper and lower limit constraint of energy supply equipmentPV，1(t) power output P of the electricity storage devicest，1(t) Heat storage apparatus output Power Pst，2(t) power consumption P of heat accumulating electric boilerEH(t) gas boiler output power Pb，gas(t)。
4) Index of reliability optimization
Reliability optimization index F4The system power shortage rate is used for measuring the ratio of the system power shortage amount in a certain period to the total required power amount of the system in the period; the numerator represents the power shortage amount of the system in a certain period, and the denominator represents the total power demand amount of the system in the certain period; the lower the value is, the better the reliability is, and further the photovoltaic power generation absorption power P can be further obtained under the conditions of cold/heat/electricity, energy charging/discharging balance condition constraint of energy storage equipment and upper and lower limit constraint of energy supply equipmentPV，1(t) power output P of the electricity storage devicest，1(t) Heat storage apparatus output Power Pst，2(t) power consumption P of heat accumulating electric boilerEH(t) gas boiler output power Pb，gas(t)。
And 6, generating an optimized operation scheme of the building energy efficiency management control system, wherein the process is completed on a 'cloud' side, an advanced application module deployed on a cloud server is used for selecting an optimized index according to the self demand of a user as an optimized target, and further generating an optimized operation scheme strategy, and the optimized target is solved to obtain the adjusted photovoltaic power generation absorption power P under the conditions that the cold/heat/electricity and energy storage equipment charging/discharging balance condition constraint and energy supply equipment upper and lower limit constraint are metPV，1(t) power output P of the electricity storage devicest，1(t) Heat storage apparatus output Power Pst，2(t) power consumption P of heat accumulating electric boilerEH(t) gas boiler output power Pb，gas(t) of (d). Wherein, the channelEconomic operation application corresponds to economic optimization index, clean energy consumption application corresponds to clean energy consumption optimization index, energy efficiency improvement application corresponds to comprehensive energy efficiency optimization index, and safe operation application corresponds to reliability optimization index.
And 7, issuing the generated operation optimization scheme strategy to the side of the edge computing terminal through the side of the optical fiber/5G private network, verifying the constraint conditions of the edge computing terminal, and issuing the operation optimization scheme strategy to the side of the user terminal, wherein the main control equipment is energy supply equipment, and comprises a photovoltaic generator set, electricity storage equipment, heat storage equipment, a heat storage type electric boiler and a gas boiler.
According to the building energy efficiency management control system, real-time monitoring of energy consumption and power generation is achieved through the Internet of things technology and the intelligent cloud platform technology, the building energy consumption service system deployed at the cloud end is used for analyzing energy consumption behaviors of consumers, and an operation mode of the optimal energy consumption mode is provided for users; the distributed photovoltaic power generation, the electricity storage and the heat storage of the building are combined to form a one-stop solution for building energy management, and the energy-saving, environment-friendly and comfortable energy utilization requirements of users are met.
The present invention also provides a computer-readable storage medium having stored thereon a computer program, characterized in that the program, when executed by a processor, implements the steps in the building energy efficiency management control method as described above.
The invention also provides computer equipment which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, and is characterized in that the processor executes the program to realize the steps of the building energy efficiency management control method.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be considered as falling within the protection scope of the present invention.
Claims (14)
1. A building energy efficiency management control system is characterized by comprising a cloud side subsystem, a pipe network subsystem, a side subsystem and an end side subsystem which form a cloud-pipe-side-end architecture;
the end side subsystem is used for reading operation data and/or energy prediction data of equipment in the building energy utilization system and uploading the read data to the end side subsystem; and adjusting the output of the equipment according to the operation optimization scheme of the equipment issued by the side subsystem;
the side subsystem is used for receiving the data uploaded by the side subsystem and uploading the data to the cloud side subsystem; forwarding the operation optimization scheme of the equipment issued by the cloud side subsystem to the end side subsystem;
the pipe network subsystem is used for connecting the side subsystem with the cloud side subsystem to perform data interaction;
and the cloud side subsystem is used for inputting the received data uploaded by the side subsystem into an optimization target selected according to requirements, calculating an operation optimization scheme of the equipment under the condition that constraint conditions are met, and issuing the operation optimization scheme of the equipment to the side subsystem.
2. The building energy efficiency management control system according to claim 1, wherein the building energy consumption system comprises an energy supply device and an energy consumption device, wherein the energy supply device comprises: the energy utilization equipment comprises one or more of an electric automobile charging pile, a building heating load, a cold water load, a hot water load, a lighting load and other power utilization loads.
3. The building energy efficiency management control system according to claim 1, wherein the side subsystem is further configured to perform data cleaning processing on the received data uploaded by the end side subsystem.
4. The building energy efficiency management control system according to claim 1, wherein the pipe side subsystem comprises one or more of the internet, optical fiber, 4G network and 5G network.
5. The building energy efficiency management control system according to claim 2, wherein the operation optimization scheme of the equipment comprises adjusting photovoltaic power generation absorption power, electric storage equipment output power, heat storage type electric boiler power consumption power and gas boiler output power.
6. A building energy efficiency management control method is characterized by comprising the following processes:
reading operation data and/or energy prediction data of equipment in the building energy utilization system;
inputting data into an optimization target selected according to requirements, and calculating to obtain an operation optimization scheme of the equipment under the condition of meeting constraint conditions;
and adjusting the output of the equipment according to the operation optimization scheme of the equipment.
7. The building energy efficiency management control method according to claim 6, wherein the building energy consumption system comprises an energy supply device and an energy consumption device, wherein the energy supply device comprises: the energy utilization equipment comprises one or more of an electric automobile charging pile, a building heating load, a cold water load, a hot water load, a lighting load and other power utilization loads.
8. The building energy efficiency management control method according to claim 6, after reading the data, further comprising: and performing data cleaning on the read data to obtain processed data.
9. The building energy efficiency management control method according to claim 6, characterized in that the energy prediction data is photovoltaic power prediction data PPV(t) photovoltaic powerThe specific calculation formula of the prediction data is as follows:
in the formula, PSTCThe maximum output power of the battery panel under the standard test condition; gSTCIs a standard test illumination intensity; g (t) is the actual illumination intensity of the solar panel in the time period t when the solar panel works; k is a radical ofTIs the power temperature coefficient, with a value of-0.47%/K; t isSTCAs reference temperature, value 25 ℃; t isaAnd (t) is the actual temperature of the working environment of the photovoltaic cell panel at the t time period.
10. The building energy efficiency management control method according to claim 6, wherein the constraint condition comprises:
1) conditional constraint of electrical balance
PPV，1(t)+Pst，1(t)+Pgrid(t)＝Pload(t)+PEE(t)+Pother(t)+PEC(t)+PEH(t) (2)
In the formula: pPV，1(t) is the power dissipated by photovoltaic power generation during the time period t, Pst，1(t) the output power of the power storage equipment in the period of t, wherein the value of more than 0 represents the discharge of the power storage equipment, and the value of less than 0 represents the charge of the power storage equipment; pgrid(t) the commercial power used by the building energy consumption system in the period of t; pload(t) represents the lighting load demand of the building energy system during the period t; pEE(t) representing the electric load demand of the electric automobile charging pile at the time period t; pother(t) represents other electrical load demands during time t; pEC(t) represents the air source heat pump power consumption for a period of t; pEH(t) represents the power consumption of the heat accumulating type electric boiler in the time period t;
2) constraint of thermal equilibrium condition
αheatPEH(t)+Pb，gas(t)+Pst，2(t)＝Pheat，1(t)+Pheat，2(t) (3)
In the formula: pb，gas(t) gas boiler for t periodOutputting heat load power; pst，2(t) the output power of the heat storage equipment in the period of t, wherein the value of more than 0 represents the heat release of the heat storage equipment, and the value of less than 0 represents the heat charging of the heat storage equipment;
Pheat，1(t) represents the building heating load demand during the time period t; pheat，2(t) represents a hot water load demand for a period of t; alpha is alphaheatRepresenting the heating coefficient of the heat accumulating type electric boiler;
3) cold balance condition constraints
αcoolPEC(t)＝Pcool(t) (4)
In the formula: pcool(t) represents the cold load demand of the building system during time t; alpha is alphacoolThe refrigeration coefficient of the air source heat pump;
4) energy storage device charging/discharging balance condition constraints
Within an operation optimization period T, if the initial working time of the energy storage equipment is T0Then, it should be:
in the formula: est，i(t0) Indicating the ith type of energy storage device t0The remaining capacity of the time period; Δ t is an operation optimization period;
indicating the ith type of energy storage device
The remaining capacity of the time period;
the residual capacity of the ith energy storage equipment in the initial state is represented; when the value of i is 1, the power storage equipment is represented, and when the value of i is 2, the heat storage equipment is represented;
5) upper and lower limit condition constraints of energy supply equipment
In the formula, Pin，k，max、Pin，k(t) respectively representing the maximum allowable input electric/natural gas power of kth equipment in the building energy consumption system and the input electric/natural gas power in a t period; pout，k，max、Pout，k(t) respectively representing the maximum output electric/cold/hot power allowed by the kth equipment in the functional system for the building and the output electric/cold/hot power in the t period; t isin，k，max、Tin，k(t) respectively representing the maximum water inlet temperature allowed by the kth equipment in the building energy consumption system and the water inlet temperature in the t time period; t isout，k，max、Tout，k(t) respectively representing the maximum water outlet temperature allowed by the kth equipment in the building energy consumption system and the water outlet temperature in the t time period; preout，k，max、Preout，k(t) respectively representing the maximum water outlet pressure allowed by the kth equipment in the building energy consumption system and the water outlet pressure in the t time period; qout，k，max、Qout，kAnd (t) respectively represents the maximum water outlet flow allowed by the kth equipment in the building energy consumption system and the water outlet flow in the t period.
11. The building energy management control method according to claim 10, wherein the optimization objective comprises: any one or combination of more of economic optimization index, clean energy consumption optimization index, comprehensive energy efficiency optimization index and reliability optimization index, wherein:
1) economic optimization index
In the formula, prgrid(t)、prgas(t) the time-of-use electricity price of the power grid and the time-of-use gas price of the natural gas at the time of t time period are respectively; etagasThe heating efficiency of the gas boiler is improved; q. q.sgasThe low calorific value of the natural gas; t represents an operation optimization period of the building management control system;
2) optimized index of clean energy consumption
In the formula, Quse，tRepresenting the time period t to consume the energy generated by the photovoltaic power generation; qout，tRepresenting the generating energy of photovoltaic power generation in a period t;
clean energy consumption optimization index F2In the formula, numerator refers to the total energy consumed by photovoltaic power generation in one period, and denominator refers to the total energy of photovoltaic power generation in one period;
3) comprehensive energy efficiency optimization index
In the formula, wout，k(t) represents the output energy of the kth equipment in the building energy system in the t period; w is ain，k(t) input energy of a kth device in the building energy system in a t period is represented; k represents the total number of all energy supply equipment in the building energy consumption system;
comprehensive energy efficiency optimization index F3In the formula, the numerator refers to the total energy output by all energy supply devices in one period, and the denominator refers to the total energy input by all energy supply devices in one period;
4) index of reliability optimization
Reliability optimization index F4In the formula; the numerator represents the power shortage of the system in a certain period, and the denominator represents the total power demand of the system in the certain period.
12. The building energy efficiency management control method according to claim 11, wherein the energy supply device operatesThe optimization scheme comprises the regulation of the photovoltaic power generation absorption power PPV，1(t) power output P of the electricity storage devicest，1(t) Heat storage apparatus output Power Pst，2(t) power consumption P of heat accumulating electric boilerEH(t) gas boiler output power Pb，gas(t)。
13. A computer-readable storage medium having stored thereon a computer program, which when executed by a processor carries out the steps of the building energy management control method according to any one of claims 6-12.
14. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps in the building energy management control method according to any one of claims 6-12.
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