A district energy system planning method considering building form layout

Abstract

The application discloses the technical field of operation scheduling of electric heating and cold interconnection comprehensive energy system and discloses a district energy system planning method considering building form layout, and the district energy system planning method comprises the following steps: step 1, a geometric building model of a research object is built and is imported into Grasshopper in sequence; step 2, parameter setting of the research object and an energy consumption simulation model are completed based on Ladybug & Honeybee; step 3, energy consumption simulation data used by refrigeration, heating, lighting and power equipment and solar radiation intensity of each building considering urban form are obtained; step 4, an electric-thermal-cold comprehensive energy system operation optimization model is constructed; step 5, a target function considering economic cost and carbon emission cost of the comprehensive energy system is formulated; and step 6, an energy supply scheme is determined. The method realizes comprehensive energy system planning for building space form, accelerates energy structure transformation and provides a new research direction for development of future comprehensive energy systems.

Description

Technical Field

[0001] This invention relates to the field of integrated energy system operation and scheduling technology that combines electricity, heat and cooling, specifically a regional energy system planning method that takes into account the layout of building forms. Background Technology

[0002] Due to the rapid advancement of new urbanization in my country, urban energy consumption is continuously increasing. Currently, building energy consumption ranks third in my country's total energy consumption, second only to industrial production and transportation. However, current research on urban morphology and energy systems remains relatively independent. Therefore, incorporating urban spatial morphology into comprehensive energy system planning is of great significance for accelerating energy structure transformation.

[0003] In response to this situation, we propose a regional energy system planning method that takes into account the layout of building forms. Summary of the Invention

[0004] The purpose of this invention is to provide a regional energy system planning method that takes into account the layout of building forms, so as to solve the problems mentioned in the background art.

[0005] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0006] A regional energy system planning method considering building form and layout, the regional energy system planning method includes the following steps:

[0007] Step 1: Build a geometric architectural model of the research object. Create a geometric block model on the Rhino platform. After completing the geometric block modeling, import it into Grasshopper in sequence and perform naming, sorting, floor division and window generation.

[0008] Step 2: Complete the parameter settings for the research object and the energy consumption simulation model based on Ladybug & Honeybee;

[0009] Step 3: Obtain simulated energy consumption data for cooling, heating, lighting, and electrical equipment, as well as solar radiation intensity for each building considering urban morphology, and import the data into Excel;

[0010] Step 4: Construct an operation optimization model for the integrated electricity-heat-cooling energy system;

[0011] Step 5: Based on the model and constraints in Step 4, formulate an objective function that considers the economic cost and carbon emission cost of the integrated energy system, using initial investment cost, equipment operation and maintenance cost, system operation cost and carbon emission cost as evaluation indicators;

[0012] Step 6: Based on the model, constraints, and objective function in Steps 4 and 5, input the energy consumption data and solar radiation data obtained in Step 3, perform an operation simulation of the integrated energy system, obtain the output of each coupled device, and determine the energy supply scheme.

[0013] Preferably, step 2 includes:

[0014] Step 2.1: Set meteorological parameters;

[0015] Import the epw meteorological file to obtain the urban wind rose diagram and the distribution of solar radiation on buildings;

[0016] Step 2.2: Set building parameters;

[0017] Input parameters such as personnel activity, building space load, building wall penetration ratio, and energy consumption simulation conditions to simulate the building energy consumption of the research object.

[0018] Preferably, step 4 includes:

[0019] Step 4.1: Establish photovoltaic power generation model, CHP model, electric heat pump model, electric chiller model, and absorption chiller model;

[0020] Step 4.2: Set the operating constraints for the power system, heating system, and cooling system, as well as the coupling constraints for the integrated energy system of electricity, gas, heat, and cooling.

[0021] Preferably, the photovoltaic power generation model is as follows:

[0022]

[0023] in, Let t be the electrical output power of the photovoltaic generator set. Let be the solar radiation intensity per unit area at time t. The total area where photovoltaic panels are installed in a certain region. To improve conversion efficiency, For system efficiency;

[0024] The CHP model is as follows:

[0025]

[0026]

[0027] in, Let t be the thermal output power of the CHP unit. Let t be the electrical power output of the CHP unit. The calorific value of natural gas. Let be the volume of natural gas consumed by the CHP unit at time t. , These are the gas-to-heat conversion efficiency and gas-to-electricity conversion efficiency of the CHP unit, respectively.

[0028] The electric chiller model is as follows:

[0029]

[0030] in, This represents the cooling output power of the electric chiller at time t. Let t be the electrical energy consumption of the electric chiller. The coefficient of performance (COP) of the electric chiller;

[0031] The electric heat pump model is as follows:

[0032]

[0033]

[0034] in, Let t be the electrical power consumed by the heat pump. Let t be the heat pump's thermal output power. Let t be the cooling output power of the heat pump. , These are the energy efficiency ratios of the heat pump for electric heating and electric cooling, respectively.

[0035] The absorption chiller model is as follows:

[0036]

[0037] in, Let t be the cooling output power of the absorption chiller unit. and These refer to the thermal and electrical output power of the combined heat and power (CHP) unit, respectively. The coefficient of performance (COP) of an absorption chiller unit.

[0038] Preferably, step 4.2 includes power balance constraints, equipment output constraints, equipment ramp-up constraints, and system power purchase constraints;

[0039] The power balance constraints include power system power balance constraints, thermal system power balance constraints, and cooling system power balance constraints.

[0040] The equipment output constraints include CHP unit constraints, electric heat pump constraints, electric chiller constraints, and absorption chiller constraints.

[0041] Preferably, the power system power balance constraint is:

[0042]

[0043] In the formula, Let t be the power output of the photovoltaic generator set. Let t be the power that the system purchases from the grid at time t. Let t be the electrical power output of the CHP unit. Let t be the user's electrical load. Let t be the electrical power consumed by the heat pump. Let t be the electrical power consumed by the electric chiller;

[0044] The power balance constraint of the thermal system is:

[0045]

[0046] In the formula, Let t be the output heat power of the electric heat pump. Let t be the output thermal power of the CHP unit. The heat power consumed by the user at time t;

[0047] The power balance constraint of the cooling system is:

[0048]

[0049] In the formula, Let t be the output cooling power of the electric chiller. Let t be the cooling power output of the heat pump. Let t be the cooling power consumed by the user. Let t be the output cooling power of the absorption chiller.

[0050] Preferably, the constraints of the CHP unit are:

[0051]

[0052]

[0053] in, and These are the minimum and maximum electrical energy output values ​​for the CHP unit, respectively. and These are the minimum and maximum thermal output values ​​of the CHP unit, respectively.

[0054] The constraints of the electric heat pump are:

[0055]

[0056]

[0057] in, and These represent the minimum and maximum heat output values ​​of the electric heat pump, respectively. and These are the minimum and maximum values ​​of the cooling capacity output of the electric heat pump, respectively.

[0058] The constraints of the electric chiller are:

[0059]

[0060] in, and These are the minimum and maximum cooling capacity outputs of the electric chiller, respectively.

[0061] The constraints of the absorption chiller are:

[0062]

[0063] in, and These are the minimum and maximum cooling capacity outputs of the absorption chiller, respectively.

[0064] Preferably, the equipment ramp constraint is:

[0065]

[0066]

[0067] in, and These are the maximum uphill and downhill speeds of the cogeneration unit, respectively. and These are the maximum uphill and downhill speeds of the electric heat pump unit, respectively.

[0068] The system's power purchase constraints are:

[0069]

[0070] in, and These represent the minimum and maximum power that the system purchases from the external power grid, respectively.

[0071] Preferably, the initial investment cost of the integrated energy system in step 5 is:

[0072]

[0073] in, The initial investment per unit capacity of distributed energy source i; Let be the configured capacity of distributed energy source i; N be the number of types of distributed energy sources; r be the annual depreciation rate; and yi be the lifespan of the distributed energy project.

[0074] The equipment maintenance cost is:

[0075]

[0076] in, , , , The unit maintenance costs are for the CHP unit, electric heat pump, electric chiller, and photovoltaic generator set, respectively. , , , , , The heat and electrical power of the CHP unit at time t, the heat and cooling power of the electric heat pump, the cooling power of the electric chiller, and the electrical power of the photovoltaic generator are respectively.

[0077] The system operating cost includes the system's electricity purchase cost and the system's gas purchase cost.

[0078]

[0079] in, For electricity purchase price, For natural gas prices;

[0080] The carbon emission cost is:

[0081]

[0082] in, This indicates the carbon dioxide emission coefficient of natural gas. Price indicated by a unit of carbon dioxide emissions;

[0083] The total operating cost of the regional energy system is f:

[0084] .

[0085] Preferably, step 6 includes:

[0086] 6.1: Obtain system input data;

[0087] Based on the geometric building model of the research object, the hourly building energy consumption and solar radiation data for the whole year, typical summer days, and typical winter days were obtained;

[0088] 6.2: Calculate the output of the integrated energy system equipment;

[0089] With the goal of minimizing costs, the optimal output and configuration scheme of each device are obtained by inputting electrical load, heat load, cooling load, and the unit solar radiation intensity of the photovoltaic panels.

[0090] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0091] 1. The regional energy system planning method of the present invention is based on the generated building energy consumption model and the various equipment models of the integrated energy system. It uses the Gurobi solver to simulate the operation of the integrated energy system and provides the output scheme of each equipment for the system's economic and environmental performance indicators.

[0092] 2. The regional energy system planning method of this invention, based on the establishment of a regional building geometric model, considers the impact of urban density, building type, and human activities on building energy consumption and solar radiation intensity. With the goal of economic efficiency and environmental protection of energy equipment operation, it derives the optimal output of each device in the integrated energy system, realizing integrated energy system planning for building spatial form. This provides a new research direction for accelerating energy structure transformation and for the future development of integrated energy systems. Attached Figure Description

[0093] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0094] Figure 1 This is a flowchart of the regional energy system planning method of the present invention;

[0095] Figure 2 This is a schematic diagram of the integrated energy system structure in this invention;

[0096] Figure 3 This is a geometric architectural model of the Jiulonghu Campus of Southeast University in this invention;

[0097] Figure 4 This is a simulation result diagram of the annual building energy consumption of Southeast University Jiulonghu Campus in this invention;

[0098] Figure 5 This is a visualization of solar radiation at the Jiulonghu Campus of Southeast University in this invention;

[0099] Figure 6 This is a diagram of the wind rose in the Nanjing area in this invention;

[0100] Figure 7 This is a diagram of the power network equipment at the Jiulonghu Campus of Southeast University in this invention.

[0101] Figure 8 This is a diagram of the output of the heating network equipment at the Jiulonghu Campus of Southeast University in this invention;

[0102] Figure 9 This is a diagram of the cooling network equipment at the Jiulonghu Campus of Southeast University in this invention.

[0103] Figure 10 This is an operational simulation diagram of the regional integrated energy system planning method of the present invention;

[0104] Figure 11 This is a geometric block model diagram of the present invention;

[0105] Figure 12 This is an operational simulation diagram of the regional integrated energy system planning method of the present invention;

[0106] Figure 13 This is an operational simulation diagram of the regional integrated energy system planning method of the present invention;

[0107] Figure 14 This is an operational simulation diagram of the regional integrated energy system planning method of the present invention;

[0108] Figure 15 This is an operational simulation diagram of the regional integrated energy system planning method of the present invention;

[0109] Figure 16 This is an operational simulation diagram of the regional integrated energy system planning method of the present invention;

[0110] Figure 17 This is an operational simulation diagram of the regional integrated energy system planning method of the present invention;

[0111] Figure 18 This is an operational simulation diagram of the regional integrated energy system planning method of the present invention. Detailed Implementation

[0112] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0113] Please see Figures 1-18 As shown, a regional energy system planning method considering building form and layout is presented. The regional energy system planning method includes the following steps:

[0114] Step 1: As Figure 10 , Figure 11As shown, a building energy consumption model of the research object was built. Based on the satellite map of the research object and combined with the building geometry data after on-site survey, a geometric block model was built on the Rhino platform. After completing the geometric block modeling, the blocks were imported into Grasshopper for naming, sorting, floor division, and window generation.

[0115] Step 2: As Figure 12-18 As shown, meteorological and building parameters are set, and the measurement time period is set to obtain building energy consumption and solar radiation data, specifically including the following:

[0116] 2.1: Meteorological parameter input:

[0117] like Figure 12 As shown, import the EPW meteorological file, complete the meteorological boundary condition settings, connect it to the wind rose cell, set the measurement time period, and obtain wind-related meteorological data;

[0118] like Figure 13 As shown, by connecting meteorological parameters with solar radiation-related battery packs, meteorological data related to solar radiation in a certain region can be obtained. In addition, a compass needs to be set up to determine the location of buildings, and the diffuse reflection of the sky needs to be considered. The measurement time period, measurement object, and surrounding environment are set and input into the Radiation Analysis battery to obtain solar radiation-related images and data.

[0119] 2.2: Input of building parameters:

[0120] like Figure 14 As shown, the timetable parameters can be set automatically by the system or set manually according to the actual situation of the research object. The timetable includes personnel activity timetable, heating critical temperature timetable, cooling critical temperature timetable, artificial lighting timetable, electrical equipment operation timetable, and ventilation timetable. Finally, all kinds of timetables are summarized into the Set EnergyPlus Zone Schedules battery, which connects the buildings under study.

[0121] like Figure 15 As shown, the building space load parameter settings are mainly building indoor environmental parameters, including the equipment load required per square meter of floor, the external air permeability required per square meter of floor, the lighting load required per floor, the number of people per square meter during peak occupancy, the minimum rate required for outdoor air ventilation entering the area through the mechanical system, and the minimum recirculated air flow rate required through the air conditioning and heating system, etc.

[0122] like Figure 16 As shown, the building materials, including roof materials, interior and exterior wall materials, and window materials, are all single-layer materials;

[0123] like Figure 17 As shown, the simulation conditions are set, including setting meteorological parameters, simulation time period, research object and its surrounding environment, calculation time step, etc. Input the parameters into the Run Energy Simulation cell, select the RunEnergyPlus button as "True" to obtain the energy consumption simulation results;

[0124] like Figure 18 As shown, the simulation results are divided into three parts: wind power data results for a certain region, solar radiation data results, and energy consumption simulation data results. The energy consumption simulation results include energy consumption data for building cooling, heating, lighting, and electrical equipment. All data are output to an Excel spreadsheet, distributed by columns, which can be achieved using the battery function in the tt Tool Box plugin.

[0125] Step 3: Construct a comprehensive energy system model integrating electricity, heat, and cooling, including a photovoltaic power generation model, a CHP model, an electric heat pump model, an electric chiller (air conditioner) model, and an absorption chiller model. Specifically,

[0126] 3.1: The CHP model is:

[0127]

[0128]

[0129] in Let t be the thermal output power of the CHP unit. Let t be the electrical power output of the CHP unit. The calorific value of natural gas. Let be the volume of natural gas consumed by the CHP unit at time t. , These are the gas-to-heat conversion efficiency and gas-to-electricity conversion efficiency of the CHP unit, respectively.

[0130] 3.2: The photovoltaic power generation model is as follows:

[0131]

[0132] in, Let t be the electrical output power of the photovoltaic generator set. Let be the solar radiation intensity per unit area at time t. The total area where photovoltaic panels are installed in a certain region. To improve conversion efficiency, For system efficiency.

[0133] 3.3: The electric refrigeration unit (air conditioner) model is as follows:

[0134]

[0135] This represents the cooling output power of the electric chiller at time t. Let t be the electrical energy consumption of the electric chiller. This is the coefficient of performance for refrigeration conversion of the electric chiller.

[0136] 3.4: The electric heat pump model is as follows:

[0137]

[0138]

[0139] Let t be the electrical power consumed by the heat pump. Let t be the heat pump's thermal output power. Let t be the cooling output power of the heat pump. , These are the energy efficiency ratios of the heat pump for electric heating and electric cooling, respectively.

[0140] 3.5: The absorption chiller model is as follows:

[0141]

[0142] in, Let t be the cooling output power of the absorption chiller unit. and These refer to the thermal and electrical output power of the combined heat and power (CHP) unit, respectively. The coefficient of performance (COP) of an absorption chiller unit.

[0143] Step 4: Set the operating constraints for the power system, heating system, and cooling system, as well as the coupling constraints for the integrated electricity-gas-heat-cooling energy system:

[0144] 4.1: Power balance constraints:

[0145] 4.1.1: Power balance constraints in power systems:

[0146]

[0147] In the formula, Let t be the power output of the photovoltaic generator set. Let t be the power that the system purchases from the grid at time t. Let t be the electrical power output of the CHP unit. Let t be the user's electrical load. Let t be the electrical power consumed by the heat pump. Let t be the electrical power consumed by the electric chiller.

[0148] 4.1.2: Power balance constraints of the thermal system:

[0149]

[0150] In the formula, Let t be the output heat power of the electric heat pump. Let t be the output thermal power of the CHP unit. Let t be the heat power consumed by the user.

[0151] 4.1.3: Power balance constraints of the cooling system:

[0152]

[0153] In the formula, Let t be the output cooling power of the electric chiller. Let t be the cooling power output of the heat pump. Let t be the cooling power consumed by the user. Let t be the output cooling power of the absorption chiller.

[0154] 4.2: Equipment output constraints:

[0155] 4.2.1: CHP Unit:

[0156]

[0157]

[0158] in, and These are the minimum and maximum electrical energy output values ​​for the CHP unit, respectively. and These are the minimum and maximum thermal output values ​​of the CHP unit, respectively.

[0159] 4.2.2: Electric heat pump:

[0160]

[0161]

[0162] in, and These represent the minimum and maximum heat output values ​​of the electric heat pump, respectively. and These are the minimum and maximum cooling output values ​​of the electric heat pump, respectively.

[0163] 4.2.3: Electric Refrigeration Unit:

[0164]

[0165] in, and These are the minimum and maximum cooling output values ​​of the electric chiller, respectively.

[0166] 4.2.4: Absorption chiller:

[0167]

[0168] in, and These are the minimum and maximum cooling capacity outputs of the absorption chiller, respectively.

[0169] 4.3: Equipment ramping constraints:

[0170]

[0171]

[0172] in, and These are the maximum uphill and downhill speeds of the cogeneration unit, respectively. and These are the maximum uphill and downhill speeds of the electric heat pump unit, respectively.

[0173] 4.4: System power purchase constraints:

[0174]

[0175] in, and These represent the minimum and maximum power that the system purchases from the external power grid, respectively.

[0176] Step 5: Based on the constructed integrated energy system operation model (electricity-heat-cooling), formulate an objective function that considers the economic cost and carbon emission cost of the integrated energy system, using initial investment cost, equipment operation and maintenance cost, system operation cost, and carbon emission cost as evaluation indicators.

[0177] 5.1: Initial investment cost of integrated energy system:

[0178]

[0179] The initial investment per unit capacity of distributed energy source i; Let represent the configured capacity of distributed energy source i; N represent the number of types of distributed energy sources; r represent the annual depreciation rate; and yi represent the lifespan of the distributed energy project.

[0180] 5.2: Equipment operation and maintenance costs:

[0181]

[0182] , , , The unit maintenance costs are for the CHP unit, electric heat pump, electric chiller, and photovoltaic generator set, respectively. , , , , , Let t represent the thermal and electrical power of the CHP unit, the thermal and cooling power of the electric heat pump, the cooling power of the electric chiller, and the electrical power of the photovoltaic generator, respectively.

[0183] 5.3: System operating costs:

[0184] System operating costs include the cost of purchasing electricity and gas for the system.

[0185]

[0186] in, For electricity purchase price, For natural gas prices.

[0187] 5.4: Carbon emission costs:

[0188]

[0189] This indicates the carbon dioxide emission coefficient of natural gas. This indicates the price per unit of carbon dioxide emissions.

[0190] 5.5: Total operating cost f of the regional energy system:

[0191]

[0192] Step 6: Conduct an operational simulation of the integrated energy system to obtain the output of each coupled device and determine the optimal energy supply scheme.

[0193] 6.1: Obtaining system input data:

[0194] Based on the geometric building model of the research object, the hourly building energy consumption and solar radiation data for the whole year, typical summer days, and typical winter days were obtained;

[0195] 6.2: Calculate the output of the integrated energy system equipment:

[0196] With the goal of minimizing costs, the optimal output and configuration scheme of each device are obtained by inputting electrical load, heat load, cooling load, and the unit solar radiation intensity of the photovoltaic panels.

[0197] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0198] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention.

Claims

1. A district energy system planning method considering building morphology layout, characterized in that, The district energy system planning method comprises the following steps: Step 1: Build a geometric building model of the research object, establish a geometric block model on the Rhino platform, after completing the geometric block modeling, import Grasshopper in sequence, and perform naming sorting, floor division, and window generation; Step 2: Complete parameter setting and energy consumption simulation model of the research object based on Ladybug&Honeybee; Step 3: Obtain energy consumption simulation data for use of refrigeration, heating, lighting and power equipment, and solar radiation intensity of each building considering urban form, and data is imported into Excel; Step 4: Build an electric-thermal-cold integrated energy system operation optimization model; Step 5: According to the model and constraint conditions of step 4, formulate a target function considering the economic cost and carbon emission cost of the integrated energy system, and take the initial investment cost, equipment operation and maintenance cost, system operation cost and carbon emission cost as evaluation indexes; Step 6: According to the model, constraint condition and target function of step 4 and step 5, input the energy consumption data and solar radiation data obtained in step 3, perform operation simulation of the integrated energy system, obtain the output of each coupled device, and determine the energy supply scheme; The step 2 comprises: Step 2.1: Set the meteorological parameters; Import the epw meteorological file to obtain the city wind rose diagram and the building solar radiation distribution; Step 2.2: Set the building parameters; Input personnel activity, building space load, building wall penetration ratio, energy consumption simulation condition parameters, and perform building energy consumption simulation of the research object; The step 4 comprises: Step 4.1: Establish a photovoltaic power generation model, a CHP model, an electric heat pump model, an electric refrigerator model and an absorption refrigerator model; Step 4.2: Set the operation constraint conditions of the power system, the heat system and the cooling system and the coupling constraint conditions of the electric-gas-thermal-cold integrated energy system; The step 4.2 comprises power balance constraints, device output constraints, device climbing constraints and system power purchase constraints; The power balance constraints comprise power system power balance constraints, heat system power balance constraints and cooling system power balance constraints; The device output constraints comprise CHP unit constraints, electric heat pump constraints, electric refrigerator constraints and absorption refrigerator constraints.

2. The method for planning a district energy system considering building morphology layout according to claim 1, wherein, The photovoltaic power generation model is: wherein, P(t) is the electrical energy output power of the photovoltaic generator at time t, I(t) is the solar radiation intensity per unit area at time t, A is the total area of the photovoltaic panels installed in the region, ηc is the conversion efficiency, ηs is the system efficiency. The CHP model is: wherein, is the CHP unit thermal energy output power at time t, is the CHP unit electrical energy output power at time t, is the natural gas heating value, is the CHP unit natural gas consumption volume at time t, , are the CHP unit gas-to-heat conversion efficiency and gas-to- electricity conversion efficiency, respectively. The electric refrigerator model is: wherein, represents the electric refrigerator cooling capacity output power at time t, represents the electric energy consumption of the electric refrigerator at time t, represents the refrigeration conversion performance coefficient of the electric refrigerator; The electric heat pump model is: wherein, is the electric power consumed by the heat pump at time t, is the thermal power output by the heat pump at time t, is the cooling power output by the heat pump at time t, , are the electric heating and electric cooling energy efficiency ratios of the heat pump, respectively. The absorption refrigerator model is: wherein, is the refrigeration output power of the absorption chiller unit at time t, and are the thermal and electrical output powers of the combined heat and power unit, respectively, is the coefficient of performance of the absorption chiller unit.

3. The regional energy system planning method considering building form and layout according to claim 1, characterized in that, The power system power balance constraint is: wherein, Ppv(t) is the electric energy output power of the photovoltaic generator at time t, Pb(t) is the power purchased by the system from the grid at time t, Pchp(t) is the electric energy output power of the CHP unit at time t, Pd(t) is the electric load of the user at time t, Pep(t) is the electric power consumed by the electric heat pump at time t, Per(t) is the electric power consumed by the electric refrigerator at time t. The heat system power balance constraint is: In the formula, is the heat output power of the electric heat pump at time t, is the heat output power of the CHP unit at time t, is the heat consumption of the user at time t; The cooling system power balance constraint is: wherein is the electric chiller output cooling power at time t, is the electric heat pump output cooling power at time t, is the user consumed cooling power at time t, is the absorption chiller output cooling power at time t.

4. A regional energy system planning method considering building form and layout according to claim 1, characterized in that, The CHP unit constraint is: wherein, and are the minimum and maximum values of the electric energy output of the CHP unit, respectively, and are the minimum and maximum values of the thermal energy output of the CHP unit, respectively. The electric heat pump constraint is: wherein, and are the minimum and maximum values of the electric heat pump heat energy output, respectively, and are the minimum and maximum values of the electric heat pump cold energy output, respectively; The electric refrigerator constraint is: wherein, and respectively the minimum and maximum values of the electric refrigerator cooling output. The absorption refrigerator constraint is: wherein, and respectively the minimum and maximum values of the cooling output of the absorption chiller. 5.The method of claim 1, wherein, The device climbing constraint is: wherein, and are the maximum up-ramp rate and the maximum down-ramp rate of the combined heat and power unit, respectively; and are the maximum up-ramp rate and the maximum down-ramp rate of the electric heat pump unit, respectively; The system power purchase constraint is: wherein, and are the minimum and maximum values of the power purchased by the system from the external grid, respectively. 6.The method of claim 1, wherein, The initial investment cost of the integrated energy system in step 5 is: wherein, is the initial investment for a unit capacity of the distributed energy i; is the installed capacity of the distributed energy i; N is the number of types of distributed energy; r is the annual depreciation rate; yi is the engineering life of the distributed energy. The equipment operation and maintenance cost is: wherein, , , , are the unit maintenance cost of CHP unit, electric heat pump, electric refrigerator and photovoltaic generator respectively, , , , , , are the heat and electric power of CHP unit, heat and cold power of electric heat pump, cold power of electric refrigerator and electric power of photovoltaic generator at time t respectively. The system operation cost comprises system power purchase cost and system gas purchase cost: wherein, is the electricity purchase price, is the natural gas price; The carbon emission cost is: wherein, represents a carbon dioxide emission coefficient of natural gas, represents a price per unit of carbon dioxide emission; The total cost of the district energy system is f: 。 7.The method of claim 1, wherein, The step 6 comprises: 6.1: Obtain system input data; According to the geometric building model of the research object, the building energy consumption per hour and solar radiation data of the whole year, summer typical day and winter typical day are obtained; 6.2: Calculate the output of the integrated energy system equipment; With the minimum cost as the target, the input electric load, heat load, cold load and unit solar radiation intensity of the erected photovoltaic panel are obtained. The optimal output and optimal configuration scheme of each device are obtained.

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