CN105160159A - Multi-energy technology quantitative screening method - Google Patents
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Abstract
The present invention belongs to the field of energy technology design and particularly relates to a multi-energy technology quantitative screening method. The multi-energy technology quantitative screening method comprises the following steps of: (1) establishing a model and a database; (2) carrying out load analysis; (3) carrying out technology quantitative screening; and (4) carrying out technology integration and outputting a technical scheme. The multi-energy technology quantitative screening method disclosed by the present invention has the following beneficial effects that (1) the technology integration degree is high and technologies in the fields of power generation, air conditioning refrigeration, heating and the like are covered; (2) single technology design and multi-technology integration optimal design can be realized; (3) equipment selection, energy consumption analysis, investment estimation, economic evaluation and the like of a technology integration system can be realized; and (4) performance evaluation of technology integration on two aspects of economy and the environment can be realized.
Description
Technical field
The invention belongs to energy technology design field, be specifically related to a kind of multiple-energy-source technology and quantize screening technique.
Background technology
Current, in the engineering fields such as domestic and international generating, air conditioner refrigerating, heating, the application of monotechnics is full-fledged, along with economic development, people propose requirements at the higher level for the complementation of various energy resources technical advantage, Integrated predict model, further lifting comprehensive utilization rate of energy source, and the application of monotechnics cannot meet the requirement of current social high efficiency of energy, low carbon development.The energy source use technology of conventional simple, extensive style, at raising efficiency of energy utilization, realizes the efficient focus becoming people's concern for energy aspect day energy integration application technology that is inadequate, polynary, clean, efficient, high integration gradually.For this reason, coupling various energy resources, multinomial monotechnics, the technical design method that can realize various energy resources technique to high-efficiency integrated arises at the historic moment.
The domestic and international conventional energy resources in field application such as generating, air conditioner refrigerating, heat supplies utilizes technology mainly to concentrate on following a few class at present:
(1) generation technology: coal fired power generation, fuel gas generation, solar energy power generating and wind-power electricity generation etc.;
(2) Refrigeration Technique: electricity refrigeration, utilizing waste heat for refrigeration, Central Air-Conditioner refrigeration etc.;
(3) heat supply process: coal-burning boiler, gas fired-boiler, biomass boiler, condensing units boiler, solar energy optical-thermal, absorption heat pump etc.;
(4) jointly-supplying technology: cogeneration of heat and power, water/ground source heat pump, gas-fired heat pump, Central Air-Conditioner, Absorption Refrigerator etc.
Along with the fast development of the internet energy, individual event energy utilization technology progressively changes to the clean energy resource integrated technology of multi-energy complementation, the coupling of many technology.At present, have both at home and abroad and apply comparatively ripe energy technology design and calculation method mainly for single application technology, Integration ofTechnology degree is low, do not possess the function that various energy resources technology quantizes screening, cannot realize the Optimal design and calculation of coupling technique system, lectotype selection, economy and Environmental Effect Analysis, the development & application of multiple-energy-source technology quantification screening technique has very important value and significance for this reason.
Summary of the invention
Goal of the invention: the present invention is directed to above-mentioned prior art Problems existing and make improvement, namely the invention discloses one and comprise the engineering field technology such as generating, air conditioner refrigerating, heat supply, multiple-energy-source technology can be realized and quantize screening, optimize Integrated design computing method.Advantage of the present invention is mainly: for can feature, on the basis optimizing hot and cold, electric load, according to the boundary condition such as resource, price, more various technology is in the economy of Different periods, energy-conservation, reduction of discharging value, preferentially determine technology application kind and the integration mode of collocation the best, realize the value maximization release of energy technology application.
Technical scheme: a kind of multiple-energy-source technology quantizes the method for screening, comprises the following steps:
(1) Modling model and database
Set up load Analysis model, resource analysis model, Refrigeration Technique model successively, heat technology model, generation technology model, energy storage technology model, investment estimate analytical model, energy consumption analysis model, Economic Analysis Model and Environmental Effect Analysis model and device databases;
(2) load Analysis
, electric load information hot and cold according to energy source user, uses load Analysis model to carry out sunykatuib analysis optimization to the refrigeration duty of building, thermal load and electric load, draws load Analysis data and the curve of this energy source user typical case's day and the whole year;
(3) technology quantizes screening
(31) technology primary election
According to step (2) is described can the typical day of source user and the load Analysis data of the whole year and curve, premised on satisfied energy source user refrigeration duty demand and/or thermal load demands and/or electrical load requirement, use resource analysis model to generating electricity, freezing, heat and energy storage technology sieves, primary election is suitable for techniques available and the maximum-norm of this energy user's request;
(32) technical Analysis screening
(321) use the investment amount of device databases and investment estimate analytical model measuring and calculating techniques available different scales ratio, and generate corresponding investment data result;
(322) according to the investment data result of the Parameter Conditions such as resource, price and step (321), use Refrigeration Technique model respectively, heat technology model, generation technology model, energy storage technology model, Economic Analysis Model and Environmental Effect Analysis calculation using models techniques available different scales energy-conservation, reduce discharging, economic evaluation index;
(323) according to energy-conservation, reduce discharging, the comprehensive value of economic worth Weight Measurement techniques available different scales draw and cause value variation curve with scale change separately;
(4) Integration ofTechnology
(41) according to curvilinear motion and the crossing instances of step (323), Integration ofTechnology, application scale and the method for operation is determined;
(42) use investment estimate analytical model, the technology scale determined according to step (324) is carried out Integration ofTechnology, is determined the method for operation and calculate Project Cost;
(43) according to step (324) method of operation determined and Project Cost, by the economy of energy consumption analysis model, environmental analysis model and Economic Analysis Model measuring and calculating scheme, energy-conservation, reduce discharging index, and export technique scheme.
Screening technique is quantized: in step (1), load Analysis model comprises the following steps as multiple-energy-source technology a kind of in the present invention:
(a) investigation zones of different, different industry situation energy source user actual cold Design cooling load, thermal design load, electric Design cooling load demand, set up refrigeration duty database, thermal load database and electric load database, refrigeration duty database comprises typical case's day and 8760h hourly cooling load data, thermal load database comprises typical case's day and 8760h heat load by time data, electric load database comprise typical case's day and 8760h by time electric load data;
B () writes load Analysis model logic block diagram;
C () determines load Analysis Optimal Parameters according to step (b);
D () utilizes DEST software simulation to predict load variations data and the curve of typical case's day refrigeration duty, thermal load, electric load and annual 8760h, and export analog result;
The difference of the typical day of (e) comparative analysis step (d) and step (a) and 8760h refrigeration duty, thermal load, electric load, step (d) is predicted the outcome and is optimized, reject or optimize unreasonable data, finally export after optimizing typical day Design cooling load and annual 8760h add up data and the change curve of load, optimize formula as follows:
As (q
ia-q
ib)/q
ibwhen≤± 10%, q
i=q
ia(i=1 ~ 8760)
As (q
ia-q
ib)/q
ibwhen>=± 10%, q
i=q
ib(i=1 ~ 8760)
In formula: q
ia-DEST simulates the load in i moment;
Q
ibi moment load in-load database;
Q
ithe optimization hourly load in-i moment;
F maximum load, according to the 8760h hourly load curve of step (e), according to decile maximum load method, is carried out N decile by (), and according to the load value under following formulae discovery 1 ~ N equal portions:
wherein, t=1 ~ N
In formula: Q
tload value under-the t equal portions;
Q
maxthe maximum load value of-8760h;
G (), according to the equal portions carry calculation result of step (e), calculates Q respectively
t8760h under load adds up load, forms load Analysis model.
A kind of preferred version of the method for screening is quantized: in step (1), the foundation of resource analysis model comprises the following steps as multiple-energy-source technology a kind of in the present invention:
A () energy demand kind involved by cooling, heat supply, the every technology of power supply, is divided into combustion gas resource, geothermal energy resources, solar energy resources, wind energy resources, nuclear power resource and waste heat resource by resource;
B (), according to the resource type in step (a), is investigated, is analyzed national each province, the resource distribution in city and supply situation;
C the finding of step (b) is carried out arrangement according to Region dividing and is sorted out by (), and determine wanted information data classification according to resource category and parameter, set up corresponding data list according to determined data type, and in tables of data typing corresponding types data message;
D (), according to region resource situation, assesses all kinds of building block technique in the feasibility of this area applications and priority;
In e data list that assessment result typing step (c) of step (d) is set up by (), form resource analysis model.
Further, the combustion gas resource in step (a) comprises the inflammable gass such as rock gas, shale gas, biogas, blast furnace gas.
A kind of preferred version of the method for screening is quantized: in step (1), the foundation of Refrigeration Technique model comprises the following steps as multiple-energy-source technology a kind of in the present invention:
A () concludes refrigeration can utilize technology, and Refrigeration Technique comprises electricity refrigeration, exhaust-heat absorption formula refrigeration, Central Air-Conditioner refrigeration and heat pump refrigerating;
B () sets up the arithmetic logic block diagram of electricity refrigeration, the arithmetic logic block diagram of exhaust-heat absorption formula refrigeration, the arithmetic logic block diagram of Central Air-Conditioner refrigeration and the arithmetic logic block diagram of heat pump refrigerating respectively;
C () determines electricity refrigeration, exhaust-heat absorption formula refrigeration, Central Air-Conditioner refrigeration and heat pump refrigeration equipment type selecting desired parameters respectively according to the arithmetic logic block diagram that step (b) is determined;
(d) apparatus for establishing calculation for condenser selection: the device parameter determined according to load Analysis result and the step (c) of load Analysis model, relevant device parameter in invocation facility database, carries out assignment to place capacity and quantity; Adopt multi-objective optimization method judgment device total installed capacity whether to be greater than Design cooling load value, again assignment is carried out to place capacity and quantity if then return, carry out the cycle criterion of equipment total installation of generating capacity;
E arithmetic logic block diagram that () is determined according to step (a), determines energy consumption kind and calculating parameter respectively;
F () sets up the energy consumption formulas of electricity refrigeration, exhaust-heat absorption formula refrigeration, Central Air-Conditioner refrigeration and heat pump refrigerating:
e
k＝Σq
i*(ε
1i+ε
2i)
Wherein e
kfor energy consumption in the energy supply phase, q
ifor the energy supply load that the i moment in the energy supply phase is born; ε
1ifor at q
imajor equipment coefficient of energy dissipation under energy supply load; ε
2ifor at q
iutility appliance coefficient of energy dissipation under energy supply load;
G () carries out integrated according to the lectotype selection of above-mentioned electricity refrigeration, exhaust-heat absorption formula refrigeration, Central Air-Conditioner refrigeration and heat pump refrigerating and operation energy consumption computing formula, form Refrigeration Technique model.
A kind of preferred version of the method for screening is quantized: the foundation heating technology model in step (1) comprises the following steps as multiple-energy-source technology a kind of in the present invention:
A () is concluded and is heated and can utilize technology, the technology of heating comprises that boiler heats, Gas Direct-fired Machine heats and heats with heat pump;
The arithmetic logic block diagram that b () sets up arithmetic logic block diagram that boiler heats respectively, Gas Direct-fired Machine heats and the arithmetic logic block diagram that heat pump heats;
C arithmetic logic block diagram that () is determined according to step (b) determines that boiler heats, Gas Direct-fired Machine heats and heat pump heating equipment type selecting desired parameters respectively;
(d) apparatus for establishing calculation for condenser selection: the device parameter determined according to analysis result and the step (c) of load Analysis model, relevant device parameter in invocation facility database, carries out assignment to place capacity and quantity; Adopt multi-objective optimization method judgment device total installed capacity whether to be greater than Design cooling load value, again assignment is carried out to place capacity and quantity if then return, carry out the cycle criterion of equipment total installation of generating capacity;
E arithmetic logic block diagram that () is determined according to step (b), determines energy consumption kind and calculating parameter respectively;
F () sets up that boiler heats, Gas Direct-fired Machine heats the energy consumption formulas heated with heat pump;
e
k＝Σq
i*(ε
1i+ε
2i)
Wherein e
kfor energy consumption in the energy supply phase, q
ifor the energy supply load that the i moment in the energy supply phase is born; ε
1ifor at q
imajor equipment coefficient of energy dissipation under energy supply load, can look into device databases; ε
2ifor at q
iutility appliance coefficient of energy dissipation under energy supply load, can look into database;
The lectotype selection that g () heats above-mentioned boiler, Central Air-Conditioner heats and heat pump heats and operation energy consumption computing formula are carried out integrated, are formed and heat technology model.
A kind of preferred version of the method for screening is quantized: in step (1), the foundation of generation technology model comprises the following steps as multiple-energy-source technology a kind of in the present invention:
A () concludes the available sharp technology of generating, generation technology comprises the generating of combustion gas single cycle, gas Combined circulating generation, cogeneration of heat and power, cogeneration, pressure energy generating, wind-power electricity generation and solar electrical energy generation;
B () sets up the arithmetic logic block diagram of combustion gas single cycle generating, the arithmetic logic block diagram of gas Combined circulating generation, the arithmetic logic block diagram of coal fired power generation, the arithmetic logic block diagram of cogeneration, the arithmetic logic block diagram of pressure energy generating, the arithmetic logic block diagram of wind-power electricity generation and the arithmetic logic block diagram of solar electrical energy generation respectively;
C arithmetic logic block diagram that () is determined according to step (b) determines the generating of combustion gas single cycle, gas Combined circulating generation, cogeneration of heat and power, cogeneration, pressure energy generating, wind-power electricity generation, solar power plant type selecting desired parameters respectively;
(d) apparatus for establishing calculation for condenser selection: the device parameter determined according to load and step (c), relevant device parameter in invocation facility database, carries out assignment to place capacity and quantity; Multi-objective optimization method is adopted to judge whether the generating of combustion gas single cycle, gas Combined circulating generation, coal fired power generation, cogeneration, pressure energy generating, wind-power electricity generation, solar power plant total installed capacity are greater than Design cooling load value, again assignment is carried out to place capacity and quantity if then return, carry out the cycle criterion of equipment total installation of generating capacity;
E () determines energy consumption kind and calculating parameter;
F () sets up the energy consumption formulas of the generating of combustion gas single cycle, gas Combined circulating generation, coal fired power generation, cogeneration, pressure energy generating, wind-power electricity generation, solar electrical energy generation;
G () generates electricity according to above-mentioned combustion gas single cycle, gas Combined circulating generation, coal fired power generation, cogeneration, pressure energy generating, wind-power electricity generation, the lectotype selection of solar electrical energy generation and operation energy consumption computing formula are carried out integrated, forms generation technology model.
A kind of preferred version of the method for screening is quantized: in step (1), the foundation of energy storage technology model comprises the following steps as multiple-energy-source technology a kind of in the present invention:
A () concludes energy storage can use sharp technology, and energy storage technology comprises accumulate, heat accumulation and Chu Leng;
B () sets up the arithmetic logic block diagram of the arithmetic logic block diagram of accumulate, the arithmetic logic block diagram of heat accumulation and Chu Leng respectively;
C () determines accumulate, heat accumulation, storage cool equipment type selecting desired parameters work out lectotype selection computing formula respectively according to step (b) the arithmetic logic block diagram determined;
D accumulate, heat accumulation, storage cool equipment that () is determined according to step (c), determine energy consumption calculation desired parameters, and work out equipment operation energy consumption computing formula;
F accumulate that () obtains according to step (c), (d), heat accumulation, storage cool equipment type selecting and operation energy consumption computing formula are carried out integrated, form energy storage technology model.
A kind of preferred version of the method for screening is quantized: in step (1), the foundation of investment estimate analytical model comprises the following steps as multiple-energy-source technology a kind of in the present invention:
A () sets up investment estimate analytical model logic diagram;
B () determines investment estimate computing method:
Gross investment=Part I expense+Part II expense+reserve fund
Part I expense=equipment & installation construction cost+tube net outside engineering cost+energy source station building civil engineering costs+electrical control expense+other fees;
Part II expense=engineering construction other fees+combustion gas the expense of plugging into+power capacity increasing tariff+expenses of surfing in Internet+Project Management Service expense;
C (), according to Refrigeration Technique model, the lectotype selection result heating technology model, generation technology model, energy storage technology model and Integration ofTechnology, the investment Estimation Method of invocation step (b) forms investment estimate analytical model.
A kind of preferred version of the method for screening is quantized: in step (1), the foundation of energy consumption analysis model comprises the following steps as multiple-energy-source technology a kind of in the present invention:
A () sets up energy consumption analysis model logic block diagram;
B (), according to energy consumption analysis model logic block diagram, determines crucial energy consumption parameter;
According to many Integration ofTechnology and lectotype selection result, call Refrigeration Technique model, heat technology model, the energy consumption formulas of generation technology model and energy storage technology model, set up the energy consumption calculation model of many combination techniques.
A kind of preferred version of the method for screening is quantized: in step (1), the foundation of Economic Analysis Model comprises the following steps as multiple-energy-source technology a kind of in the present invention:
A () sets up Economic Analysis Model logic diagram;
B (), according to Economic Analysis Model logic diagram, determines crucial economic parameters;
C (), according to the load equal portions result in load Analysis, is called investment estimate model, energy consumption analysis model, is calculated each technical combinations Q
t8760h under load adds up the income of load, investment and cost and internal rate of return, net present value (NPV) and investment payback time, forms Economic Analysis Model.
A kind of preferred version of the method for screening is quantized: in step (1), the foundation of Environmental Effect Analysis model comprises the following steps as multiple-energy-source technology a kind of in the present invention:
A () sets up Environmental Effect Analysis model logic block diagram;
B () sets up pollutant emission index calculate formula, pollutant comprises CO
2, SO
2, NOx, dust and PM2.5; Computing formula is:
P＝Σe
i*ε
i
Wherein, e
ibe i-th kind of energy resource consumption, ε
iit is the pollutant discharge coefficient that i-th kind of energy is corresponding;
C () sets up energy-saving index computing formula, energy-saving index computational algorithm comprises the computing formula of amount of energy saving, fractional energy savings, comprehensive energy utilization ratio, renewable energy utilization rate; Wherein, amount of energy saving, fractional energy savings computing formula:
Q＝A-B
In formula: Q-amount of energy saving (kg)
η-fractional energy savings (%);
Energy consumption signature coal amount (kg) of A-conventional electricity, hot and cold energy supplying system;
Energy consumption signature coal amount (kg) of B-many technical combinations integrated system;
Comprehensive energy utilization ratio computing formula:
η
comprehensive energy efficiency=(3.6W+Q
1+ Q
2)/(B*Q
l)
In formula: η-annual comprehensive utilization of energy rate (%);
W-year co-feeding system exports electricity (kWh) only;
Q
1-year effective waste heat for supplying total amount (MJ);
Q
2-year effective waste heat cooling total amount (MJ);
B-year co-feeding system combustion gas total burn-off (Nm
3);
Q
l-combustion gas net calorific value (MJ/Nm
3).
Renewable energy utilization rate computing formula:
In formula: η
regenerative resource-renewable energy utilization efficiency (%)
C-regenerative resource consumption signature coal amount (kg)
D-total energy consumption signature coal amount (kg)
D () calls indices quantity soil boy structure performance analysis model in energy consumption analysis model, step (b), (c).
A kind of preferred version of the method for screening is quantized: in step (1), the foundation of device databases comprises the following steps as multiple-energy-source technology a kind of in the present invention:
A () is compiled generating, freezes, is heated, the device data data in energy storage field;
B (), according to the classification and the logical relation that generate electricity, freeze, heat, energy-storage module calculates invocation facility parameter, is sieved device parameter, is determined independently information data classification;
C () in designated equipment database, sets up relevant device tables of data according to step (b) established data type;
(d) information parameter of typing corresponding types data message in data list, forming device model bank.
Beneficial effect: the invention discloses a kind of multiple-energy-source technology and quantize screening technique, there is following beneficial effect:
(1) Integration ofTechnology degree is high, contains the art such as generating, air conditioner refrigerating and heating;
(2) single technology design and multinomial Integration ofTechnology optimal design can be realized;
(3) can the lectotype selection, energy consumption analysis, investment estimate, economic evaluation etc. of actualizing technology integrated system;
(4) can actualizing technology integrated system in the performance evaluation of economy, environment two aspects.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet that a kind of multiple-energy-source technology disclosed by the invention quantizes screening technique.
Embodiment:
Below the specific embodiment of the present invention is described in detail.
As shown in Figure 1, a kind of multiple-energy-source technology quantizes the method for screening, comprises the following steps:
(1) Modling model and database
Set up load Analysis model, resource analysis model, Refrigeration Technique model successively, heat technology model, generation technology model, energy storage technology model, investment estimate analytical model, energy consumption analysis model, Economic Analysis Model and Environmental Effect Analysis model and device databases;
(2) load Analysis
According to energy source user refrigeration duty information, thermal load information and electric load information, use load Analysis model to carry out sunykatuib analysis and optimization to the refrigeration duty of building, thermal load and electric load, draw load Analysis data and the curve of this energy source user typical case's day and the whole year;
(3) technology quantizes screening
(31) technology primary election
According to step (2) is described can the typical day of source user and the load Analysis data of the whole year and curve, premised on satisfied energy source user refrigeration duty demand and/or thermal load demands and/or electrical load requirement, use resource analysis model to generating electricity, freezing, heat and energy storage technology sieves, primary election is suitable for techniques available and the maximum-norm of this energy user's request.
(32) technical Analysis screening
(321) use the investment amount of device databases and investment estimate analytical model measuring and calculating techniques available different scales ratio, and generate corresponding investment data result;
(322) according to the investment data result of the Parameter Conditions such as resource, price and step (321), use Refrigeration Technique model respectively, heat technology model, generation technology model, energy storage technology model, Economic Analysis Model and Environmental Effect Analysis calculation using models techniques available different scales energy-conservation, reduce discharging, economic evaluation index;
(323) on the basis of step (322), also draw according to the comprehensive value of energy-conservation, reduction of discharging, economic worth Weight Measurement techniques available different scales and cause value variation curve with scale change separately;
(4) Integration ofTechnology
(41) according to curvilinear motion and the crossing instances of step (323), Integration ofTechnology, application scale and the method for operation is determined;
(42) use investment estimate analytical model, the technology scale determined according to step (324) is carried out Integration ofTechnology, is determined the method for operation and calculate Project Cost;
(43) according to step (324) method of operation determined and Project Cost, by the economy of energy consumption analysis model, environmental analysis model and Economic Analysis Model measuring and calculating scheme, energy-conservation, reduce discharging index, and export technique scheme.
In the present embodiment, in step (1), load Analysis model comprises the following steps:
A () investigation zones of different, different industry situation energy source user actual cold Design cooling load, thermal design load, electric Design cooling load demand, set up refrigeration duty database, thermal load database and electric load database (comprising typical case's day and 8760h hourly load data);
B () writes load Analysis model logic block diagram;
C () determines load Analysis Optimal Parameters according to step (b);
D () utilizes DEST software simulation to predict load variations data and the curve of the negative and annual 8760h of typical case's day refrigeration duty, thermal load, electricity, and export analog result;
The difference of the typical day of (e) comparative analysis step (d) and step (a) and 8760h refrigeration duty, thermal load, electric load, step (d) is predicted the outcome and is optimized, reject or optimize unreasonable data, finally export after optimizing typical day Design cooling load and annual 8760h add up data and the change curve of load, optimize formula as follows:
As (q
ia-q
ib)/q
ibwhen≤± 10%, q
i=q
ia(i=1 ~ 8760)
As (q
ia-q
ib)/q
ibwhen>=± 10%, q
i=q
ib(i=1 ~ 8760)
In formula: q
ia-DEST simulates the load in i moment;
Q
ibi moment load in-load database;
Q
ithe optimization hourly load in-i moment;
F maximum load, according to the 8760h hourly load curve of step (e), according to decile maximum load method, is carried out N decile by (), and according to the load value under following formulae discovery 1 ~ N equal portions:
wherein, t=1 ~ N
In formula: Q
tload value under-the t equal portions;
Q
maxthe maximum load value of-8760h;
G (), according to the equal portions carry calculation result of step (e), calculates Q respectively
t8760h under load adds up load, forms load Analysis model, and carries out result output.
In the present embodiment, in step (1), the foundation of resource analysis model comprises the following steps:
A () energy demand kind involved by cooling, heat supply, the every technology of power supply, is divided into combustion gas resource, geothermal energy resources, solar energy resources, wind energy resources, nuclear power resource and waste heat resource by resource;
B (), according to the resource type in step (a), is investigated, is analyzed national each province, the resource distribution in city and supply situation;
C the finding of step (b) is carried out arrangement according to Region dividing and is sorted out by (), and determine wanted information data classification according to resource category and parameter, set up corresponding data list according to determined data type, and in tables of data typing corresponding types data message;
D (), according to region resource situation, assesses all kinds of building block technique in the feasibility of this area applications and priority;
In e data list that assessment result typing step (c) of step (d) is set up by (), form resource analysis model.
Further, the combustion gas resource in step (a) comprises the inflammable gass such as rock gas, shale gas, biogas, blast furnace gas.
In the present embodiment, in step (1), the foundation of Refrigeration Technique model comprises the following steps:
A () concludes refrigeration can utilize technology, and Refrigeration Technique comprises electricity refrigeration, exhaust-heat absorption formula refrigeration, Central Air-Conditioner refrigeration and heat pump refrigerating;
B () sets up the arithmetic logic block diagram of electricity refrigeration, the arithmetic logic block diagram of exhaust-heat absorption formula refrigeration, the arithmetic logic block diagram of Central Air-Conditioner refrigeration and the arithmetic logic block diagram of heat pump refrigerating respectively;
C () determines electricity refrigeration, exhaust-heat absorption formula refrigeration, Central Air-Conditioner refrigeration and heat pump refrigeration equipment type selecting desired parameters respectively according to the arithmetic logic block diagram that step (b) is determined;
(d) apparatus for establishing calculation for condenser selection: the device parameter determined according to load Analysis result and the step (c) of load Analysis model, relevant device parameter in invocation facility database, carries out assignment to place capacity and quantity; Adopt multi-objective optimization method judgment device total installed capacity whether to be greater than Design cooling load value, again assignment is carried out to place capacity and quantity if then return, carry out the cycle criterion of equipment total installation of generating capacity;
E arithmetic logic block diagram that () is determined according to step (a), determines energy consumption kind (water, gas and electricity, hot water, steam) and calculating parameter respectively;
F () sets up the energy consumption formulas of electricity refrigeration, exhaust-heat absorption formula refrigeration, Central Air-Conditioner refrigeration and heat pump refrigerating:
e
k＝Σq
i*(ε
1i+ε
2i)
Wherein e
kfor energy consumption in the energy supply phase, q
ifor the energy supply load that the i moment in the energy supply phase is born; ε
1ifor at q
imajor equipment coefficient of energy dissipation under energy supply load, can look into device databases; ε
2ifor at q
iutility appliance coefficient of energy dissipation under energy supply load, can look into database;
G () carries out integrated according to the lectotype selection of above-mentioned electricity refrigeration, exhaust-heat absorption formula refrigeration, Central Air-Conditioner refrigeration and heat pump refrigerating and operation energy consumption computing formula, form Refrigeration Technique model.
In the present embodiment, the foundation heating technology model in step (1) comprises the following steps:
A () is concluded and is heated and can utilize technology, the technology of heating comprises that boiler heats, Gas Direct-fired Machine heats and heats with heat pump;
The arithmetic logic block diagram that b () sets up arithmetic logic block diagram that boiler heats respectively, Gas Direct-fired Machine heats and the arithmetic logic block diagram that heat pump heats;
C arithmetic logic block diagram that () is determined according to step (b) determines that boiler heats, Gas Direct-fired Machine heats and heat pump heating equipment type selecting desired parameters respectively;
(d) apparatus for establishing calculation for condenser selection: the device parameter determined according to analysis result and the step (c) of load Analysis model, relevant device parameter in invocation facility database, carries out assignment to place capacity and quantity; Adopt multi-objective optimization method judgment device total installed capacity whether to be greater than Design cooling load value, again assignment is carried out to place capacity and quantity if then return, carry out the cycle criterion of equipment total installation of generating capacity;
E arithmetic logic block diagram that () is determined according to step (b), determines energy consumption kind (water, gas and electricity, hot water, steam) and calculating parameter respectively;
F () sets up that boiler heats, Gas Direct-fired Machine heats the energy consumption formulas heated with heat pump;
e
k＝Σq
i*(ε
1i+ε
2i)
Wherein e
kfor energy consumption in the energy supply phase, q
ifor the energy supply load that the i moment in the energy supply phase is born; ε
1ifor at q
imajor equipment coefficient of energy dissipation under energy supply load, can look into device databases; ε
2ifor at q
iutility appliance coefficient of energy dissipation under energy supply load, can look into database;
The lectotype selection that g () heats above-mentioned boiler, Central Air-Conditioner heats and heat pump heats and operation energy consumption computing formula are carried out integrated, are formed and heat technology model.
In the present embodiment, in step (1), the foundation of generation technology model comprises the following steps:
A () concludes the available sharp technology of generating, generation technology comprises the generating of combustion gas single cycle, gas Combined circulating generation, cogeneration of heat and power, cogeneration, pressure energy generating, wind-power electricity generation and solar electrical energy generation;
B () sets up the arithmetic logic block diagram of combustion gas single cycle generating, the arithmetic logic block diagram of gas Combined circulating generation, the arithmetic logic block diagram of coal fired power generation, the arithmetic logic block diagram of cogeneration, the arithmetic logic block diagram of pressure energy generating, the arithmetic logic block diagram of wind-power electricity generation and the arithmetic logic block diagram of solar electrical energy generation respectively;
C arithmetic logic block diagram that () is determined according to step (b) determines the generating of combustion gas single cycle, gas Combined circulating generation, cogeneration of heat and power, cogeneration, pressure energy generating, wind-power electricity generation, solar power plant type selecting desired parameters respectively;
(d) apparatus for establishing calculation for condenser selection: the device parameter determined according to load and step (c), relevant device parameter in invocation facility database, carries out assignment to place capacity and quantity; Multi-objective optimization method is adopted to judge whether the generating of combustion gas single cycle, gas Combined circulating generation, coal fired power generation, cogeneration, pressure energy generating, wind-power electricity generation, solar power plant total installed capacity are greater than Design cooling load value, again assignment is carried out to place capacity and quantity if then return, carry out the cycle criterion of equipment total installation of generating capacity.
E () determines energy consumption kind (water, gas, hot water, steam, electricity) and calculating parameter;
F () sets up the energy consumption formulas of the generating of combustion gas single cycle, gas Combined circulating generation, coal fired power generation, cogeneration, pressure energy generating, wind-power electricity generation, solar electrical energy generation;
G () generates electricity according to above-mentioned combustion gas single cycle, gas Combined circulating generation, coal fired power generation, cogeneration, pressure energy generating, wind-power electricity generation, the lectotype selection of solar electrical energy generation and operation energy consumption computing formula are carried out integrated, forms generation technology model.
In the present embodiment, in step (1), the foundation of energy storage technology model comprises the following steps:
A () concludes energy storage can use sharp technology, and energy storage technology comprises accumulate, heat accumulation and Chu Leng;
B () sets up the arithmetic logic block diagram of the arithmetic logic block diagram of accumulate, the arithmetic logic block diagram of heat accumulation and Chu Leng respectively;
C () determines accumulate, heat accumulation, storage cool equipment type selecting desired parameters work out lectotype selection computing formula respectively according to step (b) the arithmetic logic block diagram determined;
D accumulate, heat accumulation, storage cool equipment that () is determined according to step (c), determine energy consumption calculation desired parameters, and work out equipment operation energy consumption computing formula;
F accumulate that () obtains according to step (c), (d), heat accumulation, storage cool equipment type selecting and operation energy consumption computing formula are carried out integrated, form energy storage technology model.
In the present embodiment, in step (1), the foundation of investment estimate analytical model comprises the following steps:
A () sets up investment estimate analytical model logic diagram;
B () determines investment estimate computing method:
Gross investment=Part I expense+Part II expense+reserve fund
Part I expense=equipment & installation construction cost+tube net outside engineering cost+energy source station building civil engineering costs+electrical control expense+other fees;
Part II expense=engineering construction other fees+combustion gas the expense of plugging into+power capacity increasing tariff+expenses of surfing in Internet+Project Management Service expense;
C (), according to Refrigeration Technique model, the lectotype selection result heating technology model, generation technology model, energy storage technology model and Integration ofTechnology, the investment Estimation Method of invocation step (b) forms investment estimate analytical model.
In the present embodiment, in step (1), the foundation of energy consumption analysis model comprises the following steps:
A () sets up energy consumption analysis model logic block diagram;
B (), according to energy consumption analysis model logic block diagram, determines crucial energy consumption parameter;
According to many Integration ofTechnology and lectotype selection result, call Refrigeration Technique model, heat technology model, the energy consumption formulas of generation technology model and energy storage technology model, set up the energy consumption calculation model of many combination techniques.
A kind of preferred version of the method for screening is quantized: in step (1), the foundation of Economic Analysis Model comprises the following steps as multiple-energy-source technology a kind of in the present invention:
A () sets up Economic Analysis Model logic diagram;
B (), according to Economic Analysis Model logic diagram, determines crucial economic parameters;
C () sets up economic analysis method: according to the load equal portions result in load Analysis, call investment estimate model, energy consumption analysis model, calculate each technical combinations Q
t8760h under load adds up the income of load, investment and cost and internal rate of return, net present value (NPV) and investment payback time, forms Economic Analysis Model.And export meter result and the Q by analysis of each technical combinations
tthe yield curve of the 8760h under load.
A kind of preferred version of the method for screening is quantized: in step (1), the foundation of Environmental Effect Analysis model comprises the following steps as multiple-energy-source technology a kind of in the present invention:
A () sets up Environmental Effect Analysis model logic block diagram;
B () sets up pollutant emission index calculate formula, pollutant comprises CO
2, SO
2, NOx, dust and PM2.5; Computing formula is:
P＝Σe
i*ε
i
Wherein, e
ibe i-th kind of energy resource consumption, ε
iit is the pollutant discharge coefficient that i-th kind of energy is corresponding;
C () sets up energy-saving index computing formula, energy-saving index computational algorithm comprises the computing formula of amount of energy saving, fractional energy savings, comprehensive energy utilization ratio, renewable energy utilization rate; Wherein, amount of energy saving, fractional energy savings computing formula:
Q＝A-B
In formula: Q-amount of energy saving (kg)
η-fractional energy savings (%);
Energy consumption signature coal amount (kg) of C-conventional electricity, hot and cold energy supplying system;
Energy consumption signature coal amount (kg) of D-many technical combinations integrated system;
Comprehensive energy utilization ratio computing formula:
η
comprehensive energy efficiency=(3.6W+Q
1+ Q
2)/(B*Q
l)
In formula: η-annual comprehensive utilization of energy rate (%);
W-year co-feeding system exports electricity (kWh) only;
Q
1-year effective waste heat for supplying total amount (MJ);
Q
2-year effective waste heat cooling total amount (MJ);
B-year co-feeding system combustion gas total burn-off (Nm
3);
Q
l-combustion gas net calorific value (MJ/Nm
3).
Renewable energy utilization rate computing formula:
In formula: η
regenerative resource-renewable energy utilization efficiency (%)
C-regenerative resource consumption signature coal amount (kg)
D-total energy consumption signature coal amount (kg)
D () calls indices quantity in energy consumption analysis model, calculation procedure (b), (c), soil boy structure performance analysis model.
A kind of preferred version of the method for screening is quantized: in step (1), the foundation of device databases comprises the following steps as multiple-energy-source technology a kind of in the present invention:
A () is compiled generating, freezes, is heated, the device data data in energy storage field;
B (), according to the classification and the logical relation that generate electricity, freeze, heat, energy-storage module calculates invocation facility parameter, is sieved device parameter, is determined independently information data classification;
C () in designated equipment database, sets up relevant device tables of data according to step (b) established data type;
(d) information parameter of typing corresponding types data message in data list, forming device model bank.
Above embodiments of the present invention are elaborated.But the present invention is not limited to above-mentioned embodiment, in the ken that art those of ordinary skill possesses, can also make a variety of changes under the prerequisite not departing from present inventive concept.
Claims (12)
1. multiple-energy-source technology quantizes a method for screening, it is characterized in that, comprises the following steps:
(1) Modling model and database
Set up load Analysis model, resource analysis model, Refrigeration Technique model successively, heat technology model, generation technology model, energy storage technology model, investment estimate analytical model, energy consumption analysis model, Economic Analysis Model and Environmental Effect Analysis model and device databases;
(2) load Analysis
, electric load information hot and cold according to energy source user, uses load Analysis model to carry out sunykatuib analysis optimization to the refrigeration duty of building, thermal load and electric load, draws load Analysis data and the curve of this energy source user typical case's day and the whole year;
(3) technology quantizes screening
(31) technology primary election
According to step (2) is described can the typical day of source user and the load Analysis data of the whole year and curve, premised on satisfied energy source user refrigeration duty demand and/or thermal load demands and/or electrical load requirement, use resource analysis model to generating electricity, freezing, heat and energy storage technology sieves, primary election is suitable for techniques available and the maximum-norm of this energy user's request;
(32) technical Analysis screening
(321) use the investment amount of device databases and investment estimate analytical model measuring and calculating techniques available different scales ratio, and generate corresponding investment data result;
(322) according to the investment data result of the Parameter Conditions such as resource, price and step (321), use Refrigeration Technique model respectively, heat technology model, generation technology model, energy storage technology model, Economic Analysis Model and Environmental Effect Analysis calculation using models techniques available different scales energy-conservation, reduce discharging, economic evaluation index;
(323) according to energy-conservation, reduce discharging, the comprehensive value of economic worth Weight Measurement techniques available different scales draw and cause value variation curve with scale change separately;
(4) Integration ofTechnology
(41) according to curvilinear motion and the crossing instances of step (323), Integration ofTechnology, application scale and the method for operation is determined;
(42) use investment estimate analytical model, the technology scale determined according to step (324) is carried out Integration ofTechnology, is determined the method for operation and calculate Project Cost;
(43) according to step (324) method of operation determined and Project Cost, by the economy of energy consumption analysis model, environmental analysis model and Economic Analysis Model measuring and calculating scheme, energy-conservation, reduce discharging index, and export technique scheme.
2. a kind of multiple-energy-source technology according to claim 1 quantizes the method for screening, it is characterized in that, in step (1), load Analysis model comprises the following steps:
(a) investigation zones of different, different industry situation energy source user actual cold Design cooling load, thermal design load, electric Design cooling load demand, set up refrigeration duty database, thermal load database and electric load database, refrigeration duty database comprises typical case's day and 8760h hourly cooling load data, thermal load database comprises typical case's day and 8760h heat load by time data, electric load database comprise typical case's day and 8760h by time electric load data;
B () writes load Analysis model logic block diagram;
C () determines load Analysis Optimal Parameters according to step (b);
D () utilizes DEST software simulation to predict load variations data and the curve of typical case's day refrigeration duty, thermal load, electric load and annual 8760h, and export analog result;
The difference of the typical day of (e) comparative analysis step (d) and step (a) and 8760h refrigeration duty, thermal load, electric load, step (d) is predicted the outcome and is optimized, reject or optimize unreasonable data, finally export after optimizing typical day Design cooling load and annual 8760h add up data and the change curve of load, optimize formula as follows:
As (q
ia-q
ib)/q
ibwhen≤± 10%, q
i=q
ia(i=1 ~ 8760)
As (q
ia-q
ib)/q
ibwhen>=± 10%, q
i=q
ib(i=1 ~ 8760)
In formula: q
ia-DEST simulates the load in i moment;
Q
ibi moment load in-load database;
Q
ithe optimization hourly load in-i moment;
F maximum load, according to the 8760h hourly load curve of step (e), according to decile maximum load method, is carried out N decile by (), and according to the load value under following formulae discovery 1 ~ N equal portions:
In formula: Q
tload value under-the t equal portions;
Q
maxthe maximum load value of-8760h;
G (), according to the equal portions carry calculation result of step (e), calculates Q respectively
t8760h under load adds up load, forms load Analysis model.
3. a kind of multiple-energy-source technology according to claim 1 quantizes the method for screening, it is characterized in that, in step (1), the foundation of resource analysis model comprises the following steps:
A () energy demand kind involved by cooling, heat supply, the every technology of power supply, is divided into combustion gas resource, geothermal energy resources, solar energy resources, wind energy resources, nuclear power resource and waste heat resource by resource;
B (), according to the resource type in step (a), is investigated, is analyzed national each province, the resource distribution in city and supply situation;
C the finding of step (b) is carried out arrangement according to Region dividing and is sorted out by (), and determine wanted information data classification according to resource category and parameter, set up corresponding data list according to determined data type, and in tables of data typing corresponding types data message;
D (), according to region resource situation, assesses all kinds of building block technique in the feasibility of this area applications and priority;
In e data list that assessment result typing step (c) of step (d) is set up by (), form resource analysis model.
4. a kind of multiple-energy-source technology according to claim 1 quantizes the method for screening, it is characterized in that, in step (1), the foundation of Refrigeration Technique model comprises the following steps:
A () concludes refrigeration can utilize technology, and Refrigeration Technique comprises electricity refrigeration, exhaust-heat absorption formula refrigeration, Central Air-Conditioner refrigeration and heat pump refrigerating;
B () sets up the arithmetic logic block diagram of electricity refrigeration, the arithmetic logic block diagram of exhaust-heat absorption formula refrigeration, the arithmetic logic block diagram of Central Air-Conditioner refrigeration and the arithmetic logic block diagram of heat pump refrigerating respectively;
C () determines electricity refrigeration, exhaust-heat absorption formula refrigeration, Central Air-Conditioner refrigeration and heat pump refrigeration equipment type selecting desired parameters respectively according to the arithmetic logic block diagram that step (b) is determined;
(d) apparatus for establishing calculation for condenser selection: the device parameter determined according to load Analysis result and the step (c) of load Analysis model, relevant device parameter in invocation facility database, carries out assignment to place capacity and quantity; Adopt multi-objective optimization method judgment device total installed capacity whether to be greater than Design cooling load value, again assignment is carried out to place capacity and quantity if then return, carry out the cycle criterion of equipment total installation of generating capacity;
E arithmetic logic block diagram that () is determined according to step (a), determines energy consumption kind and calculating parameter respectively;
F () sets up the energy consumption formulas of electricity refrigeration, exhaust-heat absorption formula refrigeration, Central Air-Conditioner refrigeration and heat pump refrigerating:
e
k＝Σq
i*(ε
1i+ε
2i)
Wherein e
kfor energy consumption in the energy supply phase, q
ifor the energy supply load that the i moment in the energy supply phase is born; ε
1ifor at q
imajor equipment coefficient of energy dissipation under energy supply load; ε
2ifor at q
iutility appliance coefficient of energy dissipation under energy supply load;
G () carries out integrated according to the lectotype selection of above-mentioned electricity refrigeration, exhaust-heat absorption formula refrigeration, Central Air-Conditioner refrigeration and heat pump refrigerating and operation energy consumption computing formula, form Refrigeration Technique model.
5. a kind of multiple-energy-source technology according to claim 1 quantizes the method for screening, and it is characterized in that, the foundation heating technology model in step (1) comprises the following steps:
A () is concluded and is heated and can utilize technology, the technology of heating comprises that boiler heats, Gas Direct-fired Machine heats and heats with heat pump;
The arithmetic logic block diagram that b () sets up arithmetic logic block diagram that boiler heats respectively, Gas Direct-fired Machine heats and the arithmetic logic block diagram that heat pump heats;
C arithmetic logic block diagram that () is determined according to step (b) determines that boiler heats, Gas Direct-fired Machine heats and heat pump heating equipment type selecting desired parameters respectively;
(d) apparatus for establishing calculation for condenser selection: the device parameter determined according to analysis result and the step (c) of load Analysis model, relevant device parameter in invocation facility database, carries out assignment to place capacity and quantity; Adopt multi-objective optimization method judgment device total installed capacity whether to be greater than Design cooling load value, again assignment is carried out to place capacity and quantity if then return, carry out the cycle criterion of equipment total installation of generating capacity;
E arithmetic logic block diagram that () is determined according to step (b), determines energy consumption kind and calculating parameter respectively;
F () sets up that boiler heats, Gas Direct-fired Machine heats the energy consumption formulas heated with heat pump;
e
k＝Σq
i*(ε
1i+ε
2i)
Wherein e
kfor energy consumption in the energy supply phase, q
ifor the energy supply load that the i moment in the energy supply phase is born; ε
1ifor at q
imajor equipment coefficient of energy dissipation under energy supply load, can look into device databases; ε
2ifor at q
iutility appliance coefficient of energy dissipation under energy supply load, can look into database;
The lectotype selection that g () heats above-mentioned boiler, Central Air-Conditioner heats and heat pump heats and operation energy consumption computing formula are carried out integrated, are formed and heat technology model.
6. a kind of multiple-energy-source technology according to claim 1 quantizes the method for screening, it is characterized in that, in step (1), the foundation of generation technology model comprises the following steps:
A () concludes the available sharp technology of generating, generation technology comprises the generating of combustion gas single cycle, gas Combined circulating generation, cogeneration of heat and power, cogeneration, pressure energy generating, wind-power electricity generation and solar electrical energy generation;
B () sets up the arithmetic logic block diagram of combustion gas single cycle generating, the arithmetic logic block diagram of gas Combined circulating generation, the arithmetic logic block diagram of coal fired power generation, the arithmetic logic block diagram of cogeneration, the arithmetic logic block diagram of pressure energy generating, the arithmetic logic block diagram of wind-power electricity generation and the arithmetic logic block diagram of solar electrical energy generation respectively;
C arithmetic logic block diagram that () is determined according to step (b) determines the generating of combustion gas single cycle, gas Combined circulating generation, cogeneration of heat and power, cogeneration, pressure energy generating, wind-power electricity generation, solar power plant type selecting desired parameters respectively;
(d) apparatus for establishing calculation for condenser selection: the device parameter determined according to load and step (c), relevant device parameter in invocation facility database, carries out assignment to place capacity and quantity; Multi-objective optimization method is adopted to judge whether the generating of combustion gas single cycle, gas Combined circulating generation, coal fired power generation, cogeneration, pressure energy generating, wind-power electricity generation, solar power plant total installed capacity are greater than Design cooling load value, again assignment is carried out to place capacity and quantity if then return, carry out the cycle criterion of equipment total installation of generating capacity;
E () determines energy consumption kind and calculating parameter;
F () sets up the energy consumption formulas of the generating of combustion gas single cycle, gas Combined circulating generation, coal fired power generation, cogeneration, pressure energy generating, wind-power electricity generation, solar electrical energy generation;
G () generates electricity according to above-mentioned combustion gas single cycle, gas Combined circulating generation, coal fired power generation, cogeneration, pressure energy generating, wind-power electricity generation, the lectotype selection of solar electrical energy generation and operation energy consumption computing formula are carried out integrated, forms generation technology model.
7. a kind of multiple-energy-source technology according to claim 1 quantizes the method for screening, it is characterized in that, in step (1), the foundation of energy storage technology model comprises the following steps:
A () concludes energy storage can use sharp technology, and energy storage technology comprises accumulate, heat accumulation and Chu Leng;
B () sets up the arithmetic logic block diagram of the arithmetic logic block diagram of accumulate, the arithmetic logic block diagram of heat accumulation and Chu Leng respectively;
C () determines accumulate, heat accumulation, storage cool equipment type selecting desired parameters work out lectotype selection computing formula respectively according to step (b) the arithmetic logic block diagram determined;
D accumulate, heat accumulation, storage cool equipment that () is determined according to step (c), determine energy consumption calculation desired parameters, and work out equipment operation energy consumption computing formula;
F accumulate that () obtains according to step (c), (d), heat accumulation, storage cool equipment type selecting and operation energy consumption computing formula are carried out integrated, form energy storage technology model.
8. a kind of multiple-energy-source technology according to claim 1 quantizes the method for screening, it is characterized in that, in step (1), the foundation of investment estimate analytical model comprises the following steps:
A () sets up investment estimate analytical model logic diagram;
B () determines investment estimate computing method:
Gross investment=Part I expense+Part II expense+reserve fund
Part I expense=equipment & installation construction cost+tube net outside engineering cost+energy source station building civil engineering costs+electrical control expense+other fees;
Part II expense=engineering construction other fees+combustion gas the expense of plugging into+power capacity increasing tariff+expenses of surfing in Internet+Project Management Service expense;
C (), according to Refrigeration Technique model, the lectotype selection result heating technology model, generation technology model, energy storage technology model and Integration ofTechnology, the investment Estimation Method of invocation step (b) forms investment estimate analytical model.
9. a kind of multiple-energy-source technology according to claim 1 quantizes the method for screening, it is characterized in that, in step (1), the foundation of energy consumption analysis model comprises the following steps:
A () sets up energy consumption analysis model logic block diagram;
B (), according to energy consumption analysis model logic block diagram, determines crucial energy consumption parameter;
According to many Integration ofTechnology and lectotype selection result, call Refrigeration Technique model, heat technology model, the energy consumption formulas of generation technology model and energy storage technology model, set up the energy consumption calculation model of many combination techniques.
10. a kind of multiple-energy-source technology according to claim 1 quantizes the method for screening, it is characterized in that, in step (1), the foundation of Economic Analysis Model comprises the following steps:
A () sets up Economic Analysis Model logic diagram;
B (), according to Economic Analysis Model logic diagram, determines crucial economic parameters;
C (), according to the load equal portions result in load Analysis, is called investment estimate model, energy consumption analysis model, is calculated each technical combinations Q
t8760h under load adds up the income of load, investment and cost and internal rate of return, net present value (NPV) and investment payback time, forms Economic Analysis Model.
11. a kind of multiple-energy-source technology according to claim 1 quantize the method for screening, it is characterized in that, in step (1), the foundation of Environmental Effect Analysis model comprises the following steps:
A () sets up Environmental Effect Analysis model logic block diagram;
B () sets up pollutant emission index calculate formula, pollutant comprises CO
2, SO
2, NOx, dust and PM2.5; Computing formula is:
P＝Σe
i*ε
i
Wherein, e
ibe i-th kind of energy resource consumption, ε
iit is the pollutant discharge coefficient that i-th kind of energy is corresponding;
C () sets up energy-saving index computing formula, energy-saving index computational algorithm comprises the computing formula of amount of energy saving, fractional energy savings, comprehensive energy utilization ratio, renewable energy utilization rate; Wherein, amount of energy saving, fractional energy savings computing formula:
Q＝A-B
In formula: Q-amount of energy saving (kg)
η-fractional energy savings (%);
Energy consumption signature coal amount (kg) of A-conventional electricity, hot and cold energy supplying system;
Energy consumption signature coal amount (kg) of B-many technical combinations integrated system;
Comprehensive energy utilization ratio computing formula:
η
comprehensive energy efficiency=(3.6W+Q
1+ Q
2)/(B*Q
l)
In formula: η-annual comprehensive utilization of energy rate (%);
W-year co-feeding system exports electricity (kWh) only;
Q
1-year effective waste heat for supplying total amount (MJ);
Q
2-year effective waste heat cooling total amount (MJ);
B-year co-feeding system combustion gas total burn-off (Nm
3);
Q
l-combustion gas net calorific value (MJ/Nm
3);
Renewable energy utilization rate computing formula:
In formula: η
regenerative resource-renewable energy utilization efficiency (%)
C-regenerative resource consumption signature coal amount (kg)
D-total energy consumption signature coal amount (kg)
D () calls indices quantity soil boy structure performance analysis model in energy consumption analysis model, step (b), (c).
12. a kind of multiple-energy-source technology according to claim 1 quantize the method for screening, it is characterized in that, in step (1), the foundation of device databases comprises the following steps:
A () is compiled generating, freezes, is heated, the device data data in energy storage field;
B (), according to the classification and the logical relation that generate electricity, freeze, heat, energy-storage module calculates invocation facility parameter, is sieved device parameter, is determined independently information data classification;
C () in designated equipment database, sets up relevant device tables of data according to step (b) established data type;
(d) information parameter of typing corresponding types data message in data list, forming device model bank.
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