CN115186356A - Regional energy system planning method considering building form layout - Google Patents
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Abstract
The invention discloses a regional energy system planning method considering architectural form layout, belonging to the technical field of operation scheduling of an electric-heat-cold interconnected comprehensive energy system, and the regional energy system planning method comprises the following steps: step 1: building a geometric building model of a research object, and sequentially importing Grasshopper; step 2: completing the parameter setting of a research object and an energy consumption simulation model based on Ladybug and Honeybee; and step 3: obtaining energy consumption simulation data used by refrigeration, heating, illumination and power equipment, and considering the solar radiation intensity of each building in the city form; and 4, step 4: constructing an electric-heat-cold comprehensive energy system operation optimization model; and 5: formulating an objective function considering the economic cost and the carbon emission cost of the comprehensive energy system; step 6: an energy supply scheme is determined. The method realizes the comprehensive energy system planning of the building space form, and provides a new research direction for accelerating the energy structure transformation and the development of the future comprehensive energy system.
Description
Technical Field
The invention relates to the technical field of operation scheduling of an electric heating and cooling interconnected comprehensive energy system, in particular to a regional energy system planning method considering building form layout.
Background
Due to the rapid promotion of novel urbanization in China, the urban energy consumption is continuously increased, and the energy consumption of the building is the third of the total energy consumption in China at present and is only second to the energy consumption of industrial production and transportation. However, the current research on urban forms and energy systems is still relatively independent, so that the factor of considering urban space forms is added in the planning of the comprehensive energy system, and the method has important significance for accelerating the transformation of energy structures.
In order to solve the problem, a regional energy system planning method considering the architectural form layout is provided.
Disclosure of Invention
The present invention is directed to a method for planning a regional energy system in consideration of architectural configuration, so as to solve the problems set forth in the background art.
In order to solve the technical problems, the invention adopts the following technical scheme:
a regional energy system planning method considering architectural morphological layout comprises the following steps:
step 1: building a geometric building model of a research object, building a geometric block model on an Rh i no platform, sequentially introducing Grasshopper after completing geometric block modeling, and performing naming sequencing, floor division and window generation;
step 2: completing the parameter setting of a research object and an energy consumption simulation model based on Ladybug and Honeybee;
and step 3: acquiring energy consumption simulation data used by refrigeration, heating, illumination and power equipment, and importing the data into Excel by considering the solar radiation intensity of each building in an urban form;
and 4, step 4: constructing an electric-heat-cold comprehensive energy system operation optimization model;
and 5: according to the model and the constraint conditions in the step 4, a target function considering the economic cost and the carbon emission cost of the comprehensive energy system is formulated, and the initial investment cost, the equipment operation and maintenance cost, the system operation cost and the carbon emission cost are used as evaluation indexes;
and 6: and (5) inputting the energy consumption data and the solar radiation data obtained in the step (3) according to the models, the constraint conditions and the objective functions in the step (4) and the step (5), performing operation simulation on the comprehensive energy system, obtaining the output condition of each coupling device, and determining an energy supply scheme.
Preferably, the step 2 comprises:
step 2.1: setting meteorological parameters;
importing an epw meteorological file to obtain an urban wind rose diagram and building solar radiation distribution;
step 2.2: setting building parameters;
inputting personnel activities, building space loads, building wall-through ratios and energy consumption simulation condition parameters to simulate the building energy consumption of the research object.
Preferably, the step 4 comprises:
step 4.1: establishing a photovoltaic power generation model, a CHP model, an electric heat pump model and an electric refrigerator model;
and 4.2: setting the operation constraint conditions of the power system, the thermodynamic system and the cooling system and the coupling constraint conditions of the electricity-gas-heat-cold comprehensive energy system.
Preferably, the photovoltaic power generation model is:
P PV,t ＝Rad t ×S×η trans ×0.28×η system
wherein, P PV,t Is the electric energy output power, rad, of the photovoltaic generator set at the time t t The intensity of solar radiation per unit area at the moment t, S is the total area of a certain area provided with a photovoltaic cell panel, eta trans To establish the conversion efficiency, eta system The efficiency of the system;
the CHP unit model is as follows:
P t CHP ＝a_Gas×V t CHP ×η E,CHP
wherein the content of the first and second substances,
for the heat energy output power of the CHP unit at the time t,
the power output of the CHP unit at the time t, a _ Gas is the heat value of natural Gas, V t CHP The natural gas consumption volume, eta, of the CHP unit at the time t H,CHP 、η E,CHP The gas-heat conversion efficiency and the gas-electricity conversion efficiency of the CHP unit are respectively;
the electric refrigerator model is as follows:
P EC,t ＝P EC,e,t ×COP EC
wherein, P EC,t Indicating electric refrigeration at time tMechanical and refrigeration output power, P EC,e,t The power consumption, COP, of the electric refrigerator at time t EC The coefficient of performance is the refrigeration conversion coefficient of the electric refrigerator;
the electric heat pump model is as follows:
wherein, P t HP For the time t the heat pump consumes electrical power,
the heat pump heat energy output power is output for the time t,
the cold output power of the heat pump at the moment t, eta H,HP 、η C,HP Respectively is the energy efficiency ratio of electric heating and electric cooling of the heat pump;
the absorption type refrigerating machine model comprises:
wherein, the first and the second end of the pipe are connected with each other,
the refrigeration output power of the absorption refrigeration unit at the moment t,
and P t CHP Respectively the heat energy and electric energy output power, COP of the cogeneration unit AC Is the energy efficiency coefficient of the absorption refrigerating unit.
Preferably, the step 4.2 includes power balance constraint, equipment output constraint, equipment climbing constraint and system electricity purchasing constraint;
the power balance constraint comprises a power system power balance constraint, a thermodynamic system power balance constraint and a cooling system power balance constraint;
the output constraints of the equipment comprise CHP unit constraints, electrothermal pump constraints, electric refrigerator constraints and absorption refrigerator constraints.
Preferably, the power system power balance constraint is:
P PV,t +P grid,t +P CHP,e,t ＝P LOAD,e,t +P HP,e,t +P EC,e,t
in the formula, P PV,t For the electric energy output power, P, of the photovoltaic generator set at the moment t grid,t Purchasing electric power, P, from the grid for the system at time t CHP,e,t For the electric output power of the CHP unit at t moment, P LOAD,e,t For the consumer electrical load at time t, P HP,e,t For the consumption of electric power by the electric heat pump at time t, P EC,e,t Consuming electric power for the electric refrigerator at time t;
the thermodynamic system power balance constraint is as follows:
P HP,h,t +P CHP,h,t ＝P LOAD,h,t
in the formula, P HP,h,t For the output of thermal power, P, of the electrothermal pump at time t CHP,h,t For CHP unit output thermal power at t moment LOAD,h,t Consuming thermal power for the user at time t;
the power balance constraint of the cooling system is as follows:
P EC,t +P HP,c,t +P AC,t ＝P LOAD,c,t
in the formula, P EC,t Cold power output, P, for the electric refrigerator at time t HP,c,t For the output of cold power, P, of the electrothermal pump at time t LOAD,c,t Consuming cold power for the user at time t, P AC,t And outputting cold power for the absorption refrigerator at the time t.
Preferably, the CHP train constraints are:
P CHP,e,min ≤P CHP,e,t ≤P CHP,e,max
P CHP,h,min ≤P CHP,h,t ≤P CHP,h,max
wherein, P CHP,e,min And P CHP,e,max Respectively as the minimum and maximum of the electrical energy output of the CHP unit, P CHP,h,min And P CHP,h,max Respectively representing the minimum value and the maximum value of the heat energy output of the CHP unit;
the electric heat pump restricts as follows:
P HP,h,min ≤P HP,h,t ≤P HP,h,max
P HP,c,min ≤P HP,c,t ≤P HP,c,max
wherein, P HP,h,min And P HP,h,max Respectively, the minimum value and the maximum value of the heat energy output of the electric heat pump, P HP,c,min And P HP,c,max Respectively outputting a minimum value and a maximum value of the cold energy of the electric heat pump;
the electrical chiller constraints are:
P EC,min ≤P EC,t ≤P EC,max
wherein, P EC,min And P EC,max Respectively outputting the minimum value and the maximum value of the refrigerating capacity of the electric refrigerating machine;
the absorption chiller constraints are:
P AC,min ≤P AC,t ≤P AC,max
wherein, P AC,min And P AC,max The minimum value and the maximum value of the cold output of the absorption refrigerator are respectively.
Preferably, the equipment climbing constraint is:
wherein the content of the first and second substances,
and
the maximum climbing rate and the maximum descending rate of the cogeneration unit are respectively set;
and
the maximum upward climbing speed and the maximum downward climbing speed of the electric heating pump unit are respectively;
the system electricity purchasing constraint is as follows:
P grid,min ≤P grid,t ≤P grid,max
wherein, P grid,min And P grid,max And respectively purchasing the minimum value and the maximum value of the electric power of the system to an external power grid.
Preferably, the initial investment cost of the comprehensive energy system in the step 5 is as follows:
wherein, c i Initial investment is carried out on unit capacity of distributed energy i; p i Configuring capacity for distributed energy i; n is the number of the types of the distributed energy; r is the annual depreciation rate; yi is the distributed energy engineering life;
the equipment operation and maintenance cost is as follows:
wherein, c CHP 、c HP 、c EC 、c PV The unit maintenance costs of the CHP unit, the electric heat pump, the electric refrigerator and the photovoltaic generator unit respectively,
P t CHP 、
P EC,t 、P PV,t the heat and electric power of the CHP unit, the heat and cold power of the electric heat pump, the cold power of the electric refrigerator and the electric power of the photovoltaic generator at the moment t are respectively;
the system operation cost comprises system electricity purchasing cost and system gas purchasing cost:
wherein, P tou,t For electricity purchase price, M gas Is the natural gas price;
the carbon emission cost is as follows:
wherein, γ gas Representing the carbon dioxide emission coefficient, P, of natural gas carbon Represents the price per unit of carbon dioxide emissions;
the total running cost of the regional comprehensive energy system is f:
f＝f 1 +f 2 +f 3 +f 4 。
preferably, the step 6 comprises:
6.1: obtaining system input data;
obtaining the construction energy consumption per hour and solar radiation data of the whole year, the typical summer day and the typical winter day according to the geometric construction model of the research object;
6.2: calculating the output of the comprehensive energy system equipment;
and aiming at the minimum cost, inputting the electric load, the heat load, the cold load and the unit solar radiation intensity for erecting the photovoltaic panel to obtain the optimal output and the optimal configuration scheme of each device.
Compared with the prior art, the invention has the beneficial effects that:
1. the regional energy system planning method is based on the generated building energy consumption model and each equipment model of the comprehensive energy system, utilizes a gurob i solver to carry out operation simulation on the comprehensive energy system, and provides output schemes of each equipment for economic and environmental protection indexes of the system;
2. the regional energy system planning method provided by the invention considers the influence of city density, building type and personnel activity on building energy consumption and solar radiation intensity on the premise of establishing a regional building geometric model, and takes the operation economy and environmental protection of energy equipment as targets to obtain the optimal output of each equipment of the comprehensive energy system, thereby realizing the comprehensive energy system planning on the building space form, and providing a new research direction for accelerating the energy structure transformation and the development of the future comprehensive energy system.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method for planning a regional energy system in accordance with the present invention;
FIG. 2 is a schematic diagram of an integrated energy system according to the present invention;
FIG. 3 is a geometric building model diagram of the school zone of the Jiulong lake of the southeast university in the east China;
FIG. 4 is a diagram of the result of the annual building energy consumption simulation in the school district of the Jiulong lake of the southeast university in the invention;
FIG. 5 is a result chart of the visualization of solar radiation in the school zone of the Jiulong lake of the university of southeast east of the invention;
FIG. 6 is a chart of wind rose in Nanjing area of the present invention;
FIG. 7 is a diagram of the power network equipment in the school zone of the Jiulong lake of southeast university in the east China;
FIG. 8 is a diagram of the thermodynamic network equipment in the school zone of the Jiulong lake of the southeast university of east China;
FIG. 9 is a drawing of a cooling network device in the Jiulong lake school zone of southeast university in the east China;
FIG. 10 is a simulation of the operation of the regional integrated energy system planning method of the present invention;
FIG. 11 is a geometric block model of the present invention;
FIG. 12 is a simulation of the operation of the regional integrated energy system planning method of the present invention;
FIG. 13 is a simulation of the operation of the regional integrated energy system planning method of the present invention;
FIG. 14 is a simulation of the operation of the regional integrated energy system planning method of the present invention;
FIG. 15 is a simulation of the operation of the regional integrated energy system planning method of the present invention;
FIG. 16 is a simulation of the operation of the regional integrated energy system planning method of the present invention;
FIG. 17 is a simulation of the operation of the regional integrated energy system planning method of the present invention;
fig. 18 is a simulation diagram of the operation of the regional integrated energy system planning method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 18, a method for planning a regional energy system considering a building form layout includes the following steps:
step 1: as shown in fig. 10 and 11, a building energy consumption model of a study object is constructed, and a geometric block model is built on an Rh i no platform based on a satellite map of the study object in combination with building geometric data after in-situ research. And after the geometric block modeling is completed, sequentially importing the geometric blocks into Grasshopper, and performing naming sequencing, floor division and window generation.
Step 2: as shown in fig. 12 to 18, setting meteorological parameters and construction parameters, setting measurement time period, and obtaining construction energy consumption and solar radiation data specifically include the following:
2.1: meteorological parameter input:
as shown in fig. 12, importing the epw meteorological file, completing the setting of meteorological boundary conditions, connecting the epw meteorological file to a wind rose battery, setting a measurement time period, and obtaining meteorological data related to wind;
as shown in fig. 13, the meteorological parameters are connected to the solar radiation related battery set to obtain meteorological data related to solar radiation in a certain area, and besides, a north arrow is also required to be established to determine the building position, and a measurement time period, a measurement object and a surrounding environment are set and input to a Rad i at i on Ana l ys i s battery to obtain a solar radiation related picture and data in consideration of the diffusion condition of the sky and the like.
2.2: building parameter input:
as shown in fig. 14, the schedule parameters are Set, and the schedule parameters may be automatically given by the system, or may be Set by the system according to the actual situation of the research object, where the schedule includes a staff activity schedule, a heating critical temperature schedule, a cooling critical temperature schedule, an artificial lighting schedule, an electrical equipment operation schedule, and a ventilation schedule, and finally, various schedules are summarized into the Set energy p us Zone schedule i es battery, and the building under study is connected back and forth;
as shown in fig. 15, the building space load parameter settings, mainly building indoor environment parameters, include the required equipment load per square meter of floor, the required outside air permeability per square meter of floor, the required lighting load per floor, the number of people per square meter at peak occupancy, the minimum required rate of outdoor air ventilation into the area through the mechanical system, and the minimum required recirculation air flow through the air conditioning heating and ventilation system, etc.;
as shown in fig. 16, the building material arrangement includes a roof material, an inner and outer wall material, and a window material, and the material arrangement is a single layer;
as shown in fig. 17, the setting of simulation conditions includes setting meteorological parameters, simulation time periods, study objects and their surrounding environments, calculating time step, and the like, inputting the parameters into a Run Energy S imu at i on battery, and selecting a Run Energy p us button as "True" to obtain an Energy consumption simulation result;
as shown in fig. 18, the simulation result is divided into three parts: the method comprises the steps of obtaining a wind power data result, a solar radiation data result and an energy consumption simulation data result of a certain area, wherein the energy consumption simulation result comprises the energy consumption data of refrigeration, heating, illumination and power equipment of a building, all the data are output to an excel l table and distributed in a column, and the energy consumption simulation result can be realized by adopting a battery in a tt Too l Box plug-in.
And step 3: constructing an electric-heat-cold comprehensive energy system equipment model comprising a photovoltaic power generation model, a CHP model, an electric heat pump model and an electric refrigerator (air conditioner) model,
3.1: the CHP unit model is as follows:
P t CHP ＝a_Gas×V t CHP ×η E,CHP
wherein
For the heat energy output power of the CHP unit at the t moment,
the power output of the CHP unit at the time t, a _ Gas is the heat value of natural Gas, V t CHP The natural gas consumption volume, eta, of the CHP unit at the time t H,CHP 、η E,CHP The gas-heat conversion efficiency and the gas-electricity conversion efficiency of the CHP unit are respectively.
3.2: the photovoltaic power generation model is as follows:
P PV,t ＝Rad t ×S×η trans ×0.28×η system
wherein, P PV,t Is the electric energy output power, rad, of the photovoltaic generator set at the time t t The intensity of solar radiation per unit area at the moment t, S is the total area of a certain area provided with a photovoltaic cell panel, eta trans To establish a conversion efficiency, η system Is the system efficiency.
3.3: the electric refrigerator (air conditioner) model is:
P EC,t ＝P EC,e,t ×COP EC
P EC,t represents the cold output power P of the electric refrigerator at the time t EC,e,t The power consumption, COP, of the electric refrigerator at time t EC Is the refrigeration conversion coefficient of the electric refrigerator.
3.4: the electric heat pump model is as follows:
P t HP for the time t the heat pump consumes electrical power,
the heat pump heat energy output power is output for the moment t,
the cold energy output power of the heat pump at the moment t, eta H,HP 、η C,HP The energy efficiency ratios of electric heating and electric cooling of the heat pump are respectively.
3.5: the absorption refrigerator model is as follows:
wherein the content of the first and second substances,
the refrigeration output power of the absorption refrigeration unit at the moment t,
and P t CHP Respectively the heat energy and electric energy output power, COP of the cogeneration unit AC Is the energy efficiency coefficient of the absorption refrigerating unit.
And 4, step 4: setting the operation constraint conditions of the power system, the thermodynamic system and the cooling system and the coupling constraint conditions of the electricity-gas-heat-cold comprehensive energy system:
4.1: and (3) power balance constraint:
4.1.1: power system power balance constraint:
P PV,t +P grid,t +P CHP,e,t ＝P LOAD,e,t +P HP,e,t +P EC,e,t
in the formula, P PV,t For the electric energy output power, P, of the photovoltaic generator set at the moment t grid,t Purchasing electric power, P, from the grid for the system at time t CHP,e,t For the CHP unit electric energy output power at t moment, P LOAD,e,t For the consumer electrical load at time t, P HP,e,t For the consumption of electric power by the electric heat pump at time t, P EC,e,t The electric refrigerator consumes electric power for time t.
4.1.2: thermodynamic system power balance constraints:
P HP,h,t +P CHP,h,t ＝P LOAD,h,t
in the formula, P HP,h,t For t moment of time, the electric heat pump outputs heat power P CHP,h,t For CHP unit output thermal power at t moment LOAD,h,t Consuming thermal power for the user at time t.
4.1.3: power balance constraint of cooling system:
P EC,t +P HP,c,t +P AC,t ＝P LOAD,c,t
in the formula, P EC,t For the output of cold power, P, of the electric refrigerator at time t HP,c,t For the output of cold power, P, of the electrothermal pump at time t LOAD,c,t Consuming cold power for the user at time t, P AC,t And outputting cold power for the absorption refrigerator at the moment t.
4.2: equipment output constraint:
4.2.1: CHP unit:
P CHP,e,min ≤P CHP,e,t ≤P CHP,e,max
P CHP,h,min ≤P CHP,h,t ≤P CHP,h,max
wherein, P CHP,e,min And P CHP,e,max Respectively as the minimum and maximum of the CHP unit electric energy output, P CHP,h,min And P CHP,h,max The heat energy output minimum value and the heat energy output maximum value of the CHP unit are respectively.
4.2.2: an electric heat pump:
P HP,h,min ≤P HP,h,t ≤P HP,h,max
P HP,c,min ≤P HP,c,t ≤P HP,c,max
wherein, P HP,h,min And P HP,h,max Respectively, the minimum value and the maximum value of the heat energy output of the electric heat pump, P HP,c,min And P HP,c,max The minimum value and the maximum value of the cold output of the electric heating pump are respectively.
4.2.3: an electric refrigerator:
P EC,min ≤P EC,t ≤P EC,max
wherein, P EC,min And P EC,max The minimum value and the maximum value of the cold output of the electric refrigerator are respectively.
4.2.4: absorption refrigerator:
P AC,min ≤P AC,t ≤P AC,max
wherein, P AC,min And P AC,max The minimum value and the maximum value of the cold output of the absorption refrigerator are respectively.
4.3: equipment climbing restraint:
wherein，
And
respectively the maximum climbing rate and the maximum descending rate of the cogeneration unit;
and
the maximum upward climbing speed and the maximum downward climbing speed of the electric heating pump unit are respectively.
4.4: and (3) system electricity purchasing restraint:
P grid,min ≤P grid,t ≤P grid,max
wherein, P grid,min And P grid,max And respectively purchasing the minimum value and the maximum value of the electric power of the system to an external power grid.
And 5: based on the constructed electric-heat-cold comprehensive energy system operation model, a target function considering the economic cost and the carbon emission cost of the comprehensive energy system is formulated, and the initial investment cost, the equipment operation and maintenance cost, the system operation cost and the carbon emission cost are used as evaluation indexes:
5.1: initial investment cost of the comprehensive energy system:
c i initial investment for unit capacity of distributed energy i; p i Configuring capacity for distributed energy i; n is the number of the types of the distributed energy; r is the annual aging rate; yi is the distributed energy engineering lifetime.
5.2: equipment operation and maintenance cost:
c CHP 、c HP 、c EC 、c PV the unit maintenance costs of the CHP unit, the electric heat pump, the electric refrigerator and the photovoltaic generator unit,
P t CHP 、
P EC,t 、P PV,t the hot power and the electric power of the CHP unit, the hot power and the cold power of the electric heat pump, the cold power of the electric refrigerator and the electric power of the photovoltaic generator are respectively at the time t.
5.3: the system running cost is as follows:
the system operation cost comprises system electricity purchase cost and system gas purchase cost:
wherein, P tou,t For electricity purchase price, M gas Is the natural gas price.
5.4: carbon emission cost:
γ gas denotes the carbon dioxide emission coefficient, P, of natural gas carbon Representing the price per unit of carbon dioxide emissions.
5.5: the total running cost f of the regional integrated energy system is as follows:
f＝f 1 +f 2 +f 3 +f 4
and 6: and performing operation simulation on the comprehensive energy system to obtain the output condition of each coupling device and determine the optimal energy supply scheme.
6.1: obtaining system input data:
obtaining the construction energy consumption per hour and solar radiation data of the whole year, the typical summer day and the typical winter day according to the geometric construction model of the research object;
6.2: calculating the output of the comprehensive energy system equipment:
and aiming at minimizing the cost, inputting the electric load, the heat load, the cold load and the unit solar radiation intensity for erecting the photovoltaic panel to obtain the optimal output and the optimal configuration scheme of each device.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed.
Claims (10)
1. A regional energy system planning method considering the configuration layout of a building is characterized by comprising the following steps:
step 1: building a geometric building model of a research object, building a geometric block model on a Rhino platform, sequentially introducing Grasshopper after completing geometric block modeling, and performing naming sequencing, floor division and window generation;
step 2: completing parameter setting of a research object and an energy consumption simulation model based on Ladybug and Honeybee;
and step 3: acquiring energy consumption simulation data used by refrigeration, heating, illumination and power equipment, and importing the data into Excel by considering the solar radiation intensity of each building in urban form;
and 4, step 4: constructing an electric-heat-cold comprehensive energy system operation optimization model;
and 5: according to the model and the constraint conditions in the step 4, a target function considering the economic cost and the carbon emission cost of the comprehensive energy system is formulated, and the initial investment cost, the equipment operation and maintenance cost, the system operation cost and the carbon emission cost are used as evaluation indexes;
step 6: and (5) inputting the energy consumption data and the solar radiation data obtained in the step (3) according to the models, the constraint conditions and the objective functions in the step (4) and the step (5), performing operation simulation on the comprehensive energy system, obtaining the output conditions of each coupling device, and determining an energy supply scheme.
2. The method of claim 1, wherein the step 2 comprises:
step 2.1: setting meteorological parameters;
importing an epw meteorological file to obtain urban wind rose diagrams and building solar radiation distribution;
step 2.2: setting building parameters;
inputting personnel activities, building space loads, building wall-penetrating ratios and energy consumption simulation condition parameters to simulate the building energy consumption of the research object.
3. The method for planning regional energy system according to claim 1, wherein the step 4 comprises:
step 4.1: establishing a photovoltaic power generation model, a CHP model, an electric heat pump model and an electric refrigerator model;
step 4.2: setting the operation constraint conditions of the power system, the thermodynamic system and the cooling system and the coupling constraint conditions of the electricity-gas-heat-cold comprehensive energy system.
4. The method according to claim 3, wherein the photovoltaic power generation model is:
P PV,t ＝Rad t ×S×η trans ×0.28×η system
wherein, P PV,t Is the electric energy output power, rad, of the photovoltaic generator set at the time t t The intensity of solar radiation per unit area at the moment t, S is the total area of a certain area provided with a photovoltaic cell panel, eta trans To establish the conversion efficiency, eta system The efficiency of the system;
the CHP unit model is as follows:
H t CHP ＝a_Gas×V t CHP ×η H,CHP
P t CHP ＝a_Gas×V t CHP ×η E,CHP
wherein, the first and the second end of the pipe are connected with each other,
for the heat energy output power of the CHP unit at the time t,
the power output of the CHP unit at the time t, a _ Gas is the heat value of natural Gas, V t CHP The natural gas consumption volume, eta, of the CHP unit at the time t H,CHP 、η E,CHP The gas-heat conversion efficiency and the gas-electricity conversion efficiency of the CHP unit are respectively;
the electric refrigerator model is as follows:
P EC,t ＝P EC,e,t ×COP EC
wherein, P EC,t Represents the output power of the refrigerating capacity of the electric refrigerating machine at the time t, P EC,e,t The power consumption, COP, of the electric refrigerator at time t EC The coefficient of performance is the refrigeration conversion coefficient of the electric refrigerator;
the electric heat pump model is as follows:
wherein, P t HP For the time t the heat pump consumes electrical power,
the heat pump heat energy output power is output for the moment t,
the cold output power of the heat pump at the moment t, eta H,HP 、η C,HP Respectively is the energy efficiency ratio of electric heating and electric cooling of the heat pump;
the absorption refrigerator model is as follows:
wherein, the first and the second end of the pipe are connected with each other,
the refrigeration output power of the absorption refrigeration unit at the moment t,
and P t CHP Respectively the heat energy and the electric energy output power, COP of the cogeneration unit AC Is the energy efficiency coefficient of the absorption refrigerating unit.
5. The method according to claim 3, wherein the step 4.2 includes power balance constraint, equipment output constraint, equipment climbing constraint, and system electricity purchasing constraint;
the power balance constraint comprises a power system power balance constraint, a thermodynamic system power balance constraint and a cooling system power balance constraint;
the output constraints of the equipment comprise CHP unit constraints, electrothermal pump constraints, electric refrigerator constraints and absorption refrigerator constraints.
6. The method according to claim 5, wherein the power system power balance constraint is:
P PV,t +P grid,t +P CHP,e,t ＝P LOAD,e,t +P HP,e,t +P EC,e,t
in the formula, P PV,t For the electric energy output power, P, of the photovoltaic generator set at the moment t grid,t Purchasing electric power, P, from the grid for the system at time t CHP,e,t For the CHP unit electric energy output power at t moment, P LOAD,e,t For the consumer electrical load at time t, P HP,e,t Electric power consumption of the electric heat pump for time t, P EC,e,t Consuming electric power for the electric refrigerator at time t;
the thermodynamic system power balance constraint is as follows:
P HP,h,t +P CHP,h,t ＝P LOAD,h,t
in the formula, P HP,h,t For the output of thermal power, P, of the electrothermal pump at time t CHP,h,t For the CHP unit to output heat power P at t moment LOAD,h,t Consuming thermal power for the user at time t;
the power balance constraint of the cooling system is as follows:
P EC,t +P HP,c,t +P AC,t ＝P LOAD,c,t
in the formula, P EC,t For the output of cold power, P, of the electric refrigerator at time t HP,c,t For the output of cold power, P, of the electrothermal pump at time t LOAD,c,t Consuming cold power for the user at time t, P AC,t And outputting cold power for the absorption refrigerator at the time t.
7. The method of claim 5, wherein the CHP unit constraints are:
P CHP,e,min ≤P CHP,e,t ≤P CHP,e,max
P CHP,h,min ≤P CHP,h,t ≤P CHP,h,max
wherein, P CHP,e,min And P CHP,e,max Respectively as the minimum and maximum of the electrical energy output of the CHP unit, P CHP,h,min And P CHP,h,max Respectively representing the minimum value and the maximum value of the heat energy output of the CHP unit;
the electric heat pump restricts as follows:
P HP,h,min ≤P HP,h,t ≤P HP,h,max
P HP,c,min ≤P HP，c,t ≤P HP,c,max
wherein, P HP,h,min And P HP,h,max Respectively the minimum value and the maximum value of the heat energy output of the electric heat pump, P HP,c,min And P HP,c,max Respectively outputting a minimum value and a maximum value of the cold energy of the electric heat pump;
the electrical chiller constraints are:
P EC,min ≤P EC,t ≤P EC,max
wherein, P EC,min And P EC,max Respectively outputting the minimum value and the maximum value of the refrigerating capacity of the electric refrigerating machine;
the absorption chiller constraints are:
P AC,min ≤P AC,t ≤P AC,max
wherein, P AC,min And P AC,max The minimum value and the maximum value of the cold output of the absorption refrigerator are respectively.
8. The method according to claim 5, wherein the equipment climbing constraint is:
wherein, the first and the second end of the pipe are connected with each other,
and
the maximum climbing rate and the maximum descending rate of the cogeneration unit are respectively set;
and
the maximum upward climbing speed and the maximum downward climbing speed of the electric heat pump unit are respectively;
the system electricity purchasing constraint is as follows:
P grid,min ≤P grid,t ≤P grid,max
wherein, P grid,min And P grid,max And respectively purchasing the minimum value and the maximum value of the electric power of the system to an external power grid.
9. The method according to claim 1, wherein the initial investment cost of the integrated energy system in the step 5 is:
wherein, c i Initial investment is carried out on unit capacity of distributed energy i; p i Configuring capacity for distributed energy i; n is the number of the types of the distributed energy; r is the annual aging rate; yi is the distributed energy engineering life;
the equipment operation and maintenance cost is as follows:
wherein, c CHP 、c HP 、c EC 、c PV The unit maintenance costs of the CHP unit, the electric heat pump, the electric refrigerator and the photovoltaic generator unit,
P t CHP 、
P EC,t 、P PV,t the hot power and the electric power of the CHP unit at the time t, the hot power and the cold power of the electric heat pump, the cold power of the electric refrigerator and the electric power of the photovoltaic generator are respectively;
the system operation cost comprises system electricity purchase cost and system gas purchase cost:
wherein, P tou,t For electricity purchase price, M gas Is the natural gas price;
the carbon emission cost is as follows:
wherein, gamma is gas Denotes the carbon dioxide emission coefficient, P, of natural gas carbon A price representing a unit carbon dioxide emission amount;
the total running cost of the regional comprehensive energy system is f:
f＝f 1 +f 2 +f 3 +f 4 。
10. the method of claim 1, wherein the step 6 comprises:
6.1: obtaining system input data;
obtaining the construction energy consumption per hour and solar radiation data of the whole year, the typical summer day and the typical winter day according to the geometric construction model of the research object;
6.2: calculating the output of the comprehensive energy system equipment;
and aiming at the minimum cost, inputting the electric load, the heat load, the cold load and the unit solar radiation intensity for erecting the photovoltaic panel to obtain the optimal output and the optimal configuration scheme of each device.
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| CN117151962A (en) * | 2023-11-01 | 2023-12-01 | 华南理工大学 | Planning design method and planning design system for urban energy system |
| KR102661406B1 (en) * | 2023-05-23 | 2024-04-26 | 주식회사 에너지웍스 | Automatic design system and method for BIPV(Building Integrated Photovoltaic) module |
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| KR102661406B1 (en) * | 2023-05-23 | 2024-04-26 | 주식회사 에너지웍스 | Automatic design system and method for BIPV(Building Integrated Photovoltaic) module |
| CN117151962A (en) * | 2023-11-01 | 2023-12-01 | 华南理工大学 | Planning design method and planning design system for urban energy system |
| CN117151962B (en) * | 2023-11-01 | 2024-02-27 | 华南理工大学 | Planning design method and planning design system for urban energy system |
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