CN109615127A - The method for determining geographic latitude Yu biomass thermal power plant consumption of raw materials magnitude relation - Google Patents

The method for determining geographic latitude Yu biomass thermal power plant consumption of raw materials magnitude relation Download PDF

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CN109615127A
CN109615127A CN201811466491.3A CN201811466491A CN109615127A CN 109615127 A CN109615127 A CN 109615127A CN 201811466491 A CN201811466491 A CN 201811466491A CN 109615127 A CN109615127 A CN 109615127A
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马晨烁
张飞
张一飞
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Harbin Institute of Technology
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Abstract

The present invention is the method for determining geographic latitude Yu biomass thermal power plant consumption of raw materials magnitude relation.It first determines analysis target and survey region, establishes polynomial of one indeterminate simulation model, determine that thermal demand is horizontal in survey region.It is horizontal according to thermal demand in determining survey region, demand for energy and hotspot stress are calculated in conjunction with power demand levels.According to the calorific value and accounting of different type biomass carrier, influence of the biomass carrier type to calorific value is determined, determine survey region endogenous substance carrier mean calorie；Biomass thermal power plant consumption of raw materials model is established, determines the relationship of geographic latitude Yu biomass thermal power plant consumption of raw materials amount.The present invention reinforce to can more accurately for the determination of the coverage of proposed biomass thermal power plant provide planning suggestion, it is calculated relative to traditional biomass thermal power plant consumption of raw materials amount, the present invention newly increases hotspot stress seasonal fluctuation coefficient etc., make entire calculating process more closer to reality situation, the calculated result of degree of precision can be obtained.

Description

The method for determining geographic latitude Yu biomass thermal power plant consumption of raw materials magnitude relation
Technical field
It is a kind of determining geographic latitude and biomass thermal power plant raw material disappears the present invention relates to urban planning technical field field The method of consumption relationship.
Background technique
China there are a large amount of available biomass energy potentiality in area at this stage and local energy resources demand is unmatched asks Topic, causes a large amount of biomass carriers not to be reasonably utilized.At this stage, there is waste in a large amount of biomass carriers in domestic city Phenomenon lacks in geographic latitude to the unified planning of biomass resource.
Summary of the invention
The present invention is not utilized rationally for domestic a large amount of biomass carriers, is lacked in geographic latitude to biomass The unified planning of resource provides the method for a kind of determining geographic latitude and biomass thermal power plant consumption of raw materials magnitude relation, this hair It is bright to provide following technical scheme:
A kind of method of determining geographic latitude and biomass thermal power plant consumption of raw materials magnitude relation, comprising the following steps:
Step 1: determining analysis target and survey region, respectively according to geographic latitude and outdoor design temperature for heating and The scatter plot of mean temperature establishes polynomial of one indeterminate simulation model outside geographic latitude and heating room, determines geographic latitude respectively and adopts The relationship of mean temperature outside temperature and geographic latitude and heating room is calculated outside greenhouse；
Step 2: according to civil buildings heat consumption and area of heat-supply service, determine that thermal demand is horizontal in survey region；
Step 3: it is horizontal according to thermal demand in determining survey region, energy demand is calculated in conjunction with power demand levels Amount and hotspot stress；
Step 4: according to the calorific value and accounting of different type biomass carrier, determine biomass carrier type to calorific value It influences, determines survey region endogenous substance carrier mean calorie；
Step 5: establishing biomass thermal power plant consumption of raw materials model, determines that geographic latitude disappears with biomass thermal power plant raw material The relationship of consumption.
Preferably, the step 1 specifically:
Step 1: select several latitudes between 114 ° to 118 °, height above sea level is in 10m-50m, the climatic province cities and towns Shu Wei3A, As analysis target and survey region；
Step 2: determining mean temperature outside the outdoor design temperature for heating and heating room in target cities and towns；
Step 3: drawing geographic latitude and outdoor design temperature for heating sample scatter plot and geographic latitude and heating room respectively Outer mean temperature sample scatter plot；
Step 4: being fitted using EXCEL software to scatter plot, it is fitted scatter plot relationship using unary linear regression equation, It establishes geographic latitude and calculates the polynomial of one indeterminate mould of mean temperature outside outdoor design temperature for heating and geographic latitude and heating room Analog model is as follows:
Wherein, TaMean temperature outside heating room is calculated for the survey region, unit is DEG C；TwnTo calculate temperature outside heating room Degree, unit are DEG C；For geographic latitude, unit rad.
Preferably, the step 2 specifically:
Step 1: determining heating mean heat flux by following heating mean heat flux model:
Qnp=qn(Tn-Ta)/(Tn-Twn) (3)
Wherein, QnpFor heating mean heat flux, unit kW；qnFor design space-heating load, unit kW；TnFor interior Design temperature, unit be DEG C, TaMean temperature outside heating room is calculated for the survey region, unit is DEG C；TwnOutside for heating room Temperature is calculated, unit is DEG C；
Step 2: individually built by the Calculating model determination of the heating whole year heat consumption of the building of the survey region The Calculating model of heating whole year heat consumption, the heating whole year heat consumption of the building of the survey region is as follows:
Wherein,For the heating whole year heat consumption individually built, unit kJ；QnpFor heating mean heat flux, unit is kW；N is days of heating period；
Step 3: the Calculating model determination by domestic hot-water's whole year heat consumption of the building of the survey region is individually built The domestic hot-water's whole year heat consumption built, the Calculating model of domestic hot-water's whole year heat consumption of the building of the survey region is such as Under:
Wherein,For the domestic hot-water's whole year heat consumption individually built, unit kJ；QspIt is flat for Heating Period domestic hot-water Equal thermic load, unit kW；QspxFor non-heating period domestic hot-water's mean heat flux；
Step 4: being determined according to the heating whole year heat consumption and domestic hot-water's whole year heat consumption individually built by following formula The thermal demand of the survey region is horizontal:
Wherein, EgFor the year thermal demand of the survey region, unit kJ；For the heating whole year heat dissipation individually built Amount, unit kJ；For the domestic hot-water's whole year heat consumption individually built, unit kJ；F is required area of heat-supply service, and unit is m2。
Preferably, the step 3 specifically:
Step 1: determining the year power demand levels of the survey region by following formula:
Wherein, EpFor the year electrical energy demands of the survey region, unit kW；I is product number, and n is the research area Product total quantity in domain；biFor the predicted value of the gross national product value added of certain following period；giFor the prediction of unit power consumption Value；
Step 2: according to the horizontal E of year thermal demand of the determining survey regiongWith the survey region electrical energy demands Horizontal Ep, the year energy demand model for establishing the survey region is as follows:
E=aEp+bEg (8)
Wherein, E is the year energy demand of the survey region, unit kWh；A is electricity consumption coefficient of variation；B is with heat meaning Outer loss factor；
Step 3: determining annual hotspot stress by following formula:
Wherein, ard is annual hotspot stress；EgFor the year thermal demand of the survey region, unit kJ；EpIt is described The year electrical energy demands of survey region, unit kW.
Preferably, the step 4 specifically:
Step 1: determine different seed of forest areas, stalk yield, Amount of poultry excrements and municipal refuse resource quantity of goods produced, According to different seed of forest areas, stalk yield, Amount of poultry excrements and municipal refuse resource quantity of goods produced determine the survey region The type of endogenous substance carrier and its proportion in all biological matter carrier；
Step 2: carrying out calorific value detection to all biological matter carrier using calorific value detector, determine that different biomass are corresponding Calorific value；
Step 3: establishing following mean calorie model determines the survey region biomass carrier mean calorie:
Wherein, H is the survey region biomass carrier mean calorie, unit kJ/kg；J is biomass carrier number； M is survey region endogenous substance carrier type sum；HjFor calorific value corresponding to biomass carrier type, unit kJ/kg；Wj For a kind of biomass carrier ratio shared in all biological matter carrier.
Preferably, the step 5 specifically:
Step 1: according to the year electrical energy demands amount E of survey regionpWith annual hotspot stress ard, in conjunction with hotspot stress season wave Dynamic coefficient, determines the relationship between heating load and power supply volume by following heating load model:
Eg=αkardEp×3600kJ/(kW·h) (II)
Wherein, EgFor heating load, unit kJ；αkFor hotspot stress seasonal fluctuation coefficient, k is season number；
Step 2: determining the demand for energy of the survey region by following energy demand model:
E=αkardEp×3600kJ/(kW·h)+Ep×3600kJ/(kW·h) (12)
Wherein, E is demand for energy, unit kJ；
Step 3: according to demand for energy E and the survey region biomass carrier mean calorie H, it is as follows by establishing Biomass thermal power plant consumption of raw materials amount model calculates biomass thermal power plant consumption of raw materials amount:
Wherein, B is biomass steam power plant consumption of raw materials amount, unit kg；σ is the thermal efficiency；H is the survey region biology Matter carrier mean calorie, unit kJ/kg.
The invention has the following advantages:
The present invention assesses the demand for energy in different latitude area, timely according to the Ecological Potential of biomass carrier Space division analysis, builds more reasonable biomass resource supplying mode.
The present invention combines biomass utilization with raw materials requirement, reinforces to the confluence analysis of biomass resource and uniformly Planning, reduces the waste of resource, more accurately can provide planning for the determination of the coverage of proposed biomass thermal power plant and build View.
It is calculated relative to traditional biomass thermal power plant consumption of raw materials amount, the present invention newly increases hotspot stress seasonal fluctuation coefficient Deng making entire calculating process more closer to reality situation, the calculated result of degree of precision can be obtained.
Detailed description of the invention
Fig. 1 is the flow chart of the method for determining geographic latitude and biomass thermal power plant consumption of raw materials magnitude relation.
Fig. 2 is geographic latitude and outdoor design temperature for heating sample scatter plot.
Fig. 3 is mean temperature sample scatter plot outside geographic latitude and heating room.
Fig. 4 is mean temperature chart outside outdoor design temperature for heating and calculating heating room.
Specific embodiment
Below in conjunction with specific embodiment, describe the invention in detail.
Specific embodiment one:
According to Fig. 1, the present invention provides a kind of determining geographic latitude and biomass thermal power plant consumption of raw materials magnitude relation Method, comprising the following steps:
Step 1: analysis target and survey region are determined, respectively according to geographic latitude and outdoor design temperature for heating and ground The scatter plot of mean temperature establishes polynomial of one indeterminate simulation model outside reason latitude and heating room, determines geographic latitude and heating respectively The relationship of mean temperature outside outdoor calculating temperature and geographic latitude and heating room；
Step 2: according to civil buildings heat consumption and area of heat-supply service, determine that thermal demand is horizontal in survey region；
Step 3: it is horizontal according to thermal demand in determining survey region, energy demand is calculated in conjunction with power demand levels Amount and hotspot stress；
Step 4: according to the calorific value and accounting of different type biomass carrier, determine biomass carrier type to calorific value It influences, determines survey region endogenous substance carrier mean calorie；
Step 5: establishing biomass thermal power plant consumption of raw materials model, determines that geographic latitude disappears with biomass thermal power plant raw material The relationship of consumption.
Specific embodiment two:
A kind of method of determining geographic latitude and biomass thermal power plant consumption of raw materials magnitude relation, which comprises
Step 1: analysis target is determined according to " code for thermal design of civil buildings ", according to outside geographic latitude and heating room The scatter plot of mean temperature establishes polynomial of one indeterminate simulation model outside calculating temperature, geographic latitude and heating room, then to scatterplot Figure is fitted the relationship of mean temperature outside determining geographic latitude and outdoor design temperature for heating, geographic latitude and heating room；
Select several longitudes at 114 ° to 118 ° according to " Chinese city longitude and latitude table ", " Chinese city height above sea level table " Between, height above sea level 10m-50m, climatic province belong to the cities and towns for being 3A, as analysis target and survey region needed for subsequent step；
The outdoor design temperature for heating in target cities and towns is determined according to " code for thermal design of civil buildings " and calculates Heating Period Outdoor mean temperature is drawn as shown in chart 4.Outdoor mean air temperature during heating period is calculated according to the target cities and towns of acquisition to adopt with calculating Mean temperature outside warm period room draws calculate temperature samples scatter plot as shown in Fig. 2, latitude outside latitude and calculating Heating Period room respectively It is as shown in Figure 3 with mean temperature sample scatter plot outside heating room.
Scatter plot is fitted using EXCEL software, from latitude and Heating Period room outside calculate temperature samples scatter plot 2, Mean temperature sample scatter plot 3 outside latitude and heating room is it can be seen that downward variation tendency is presented in scatter plot, therefore uses one First equation of linear regression is fitted its relationship.
It establishes geographic latitude and calculates the unitary of mean temperature outside outdoor design temperature for heating and geographic latitude and heating room Polynomial module analog model is as follows:
Wherein, TaMean temperature outside heating room is calculated for the survey region, unit is DEG C；TwnTo calculate temperature outside heating room Degree, unit are DEG C；For geographic latitude, unit rad.
Step 2: relying on civil buildings heat consumption, area of heat-supply service, determines that thermal demand is horizontal in the survey region；
According to the latitude of acquisition and calculating calculated outside Heating Period room temperature, outside latitude and heating room mean temperature relationship, It determines heating mean heat flux, heating mean heat flux is determined by following heating mean heat flux model:
Qnp=qn(Tn-Ta)/(Tn-Twn) (3)
Wherein, QnpFor heating mean heat flux, unit kW；qnFor design space-heating load, unit kW；TnFor interior Design temperature, unit be DEG C, TaMean temperature outside heating room is calculated for the survey region, unit is DEG C；TwnOutside for heating room Temperature is calculated, unit is DEG C；
According to urban design heating power specification, the heating whole year heat consumption individually built is obtained, the survey region is passed through The Calculating model of the heating whole year heat consumption of building determines the heating whole year heat consumption individually built, and the survey region is built The Calculating model for the heating whole year heat consumption built is as follows:
Wherein,For the heating whole year heat consumption individually built, unit kJ；QnpFor heating mean heat flux, unit is kW；N is days of heating period；
According to urban design heating power specification, the domestic hot-water's whole year heat consumption individually built is obtained, the research area is passed through The Calculating model of domestic hot-water's whole year heat consumption of the building in domain determines the domestic hot-water's whole year heat consumption individually built, described The Calculating model of domestic hot-water's whole year heat consumption of the building of survey region is as follows:
Wherein,For the domestic hot-water's whole year heat consumption individually built, unit kJ；QspIt is flat for Heating Period domestic hot-water Equal thermic load, unit kW；QspxFor non-heating period domestic hot-water's mean heat flux；
In conjunction with the heating whole year heat consumption individually built and domestic hot-water's whole year heat consumption of acquisition, institute is determined by following formula The thermal demand for stating survey region is horizontal:
Wherein, EgFor the year thermal demand of the survey region, unit kJ；For the heating whole year heat dissipation individually built Amount, unit kJ；For the domestic hot-water's whole year heat consumption individually built, unit kJ；F is required area of heat-supply service, and unit is m2。
Step 3: it is horizontal according to the thermal demand of acquisition, demand for energy and annual are calculated in conjunction with power demand levels Hotspot stress；
It is horizontal according to the power consumption in the calendar year statistics yearbook of city, the power demand levels of the survey region are obtained, The year power demand levels of the survey region are determined by following formula:
Wherein, EpFor the year electrical energy demands of the survey region, unit kW；I is product number, and n is the research area Product total quantity in domain；biFor the predicted value of the gross national product value added of certain following period；giFor the prediction of unit power consumption Value；
According to the horizontal E of year thermal demand of the determining survey regiongWith the survey region power demand levels Ep, The year energy demand model for establishing the survey region is as follows:
E=aEp+bEg (8)
Wherein, E is the year energy demand of the survey region, unit kWh；A is electricity consumption coefficient of variation；B is with heat meaning Outer loss factor；
According to the survey region year thermal demand of acquisition, annual hotspot stress is obtained in conjunction with the electrical energy demands of acquisition:
Wherein, ard is annual hotspot stress；EgFor the year thermal demand of the survey region, unit kJ；EpIt is described The year electrical energy demands of survey region, unit kW.
Step 4: according to the calorific value and accounting of different type biomass carrier, determine biomass carrier type to calorific value It influences, and then determines survey region endogenous substance carrier mean calorie；
Biomass energy Source Type multiplicity, is mainly made of Forest Energy, agricultural crop straw, fowl and animal excrement and house refuse. Different seed of forest areas, stalk yield, Amount of poultry excrements and municipal refuse resource are determined according to existing statistical data and data Quantity of goods produced is ground described in stalk yield, Amount of poultry excrements and the determination of municipal refuse resource quantity of goods produced according to different seed of forest areas The type and its proportion in all biological matter carrier for studying carefully region endogenous substance carrier；
Calorific value detection is carried out to all biological matter carrier with calorific value detector, is accounted for according to the different biomass carriers of acquisition Than and the different biomass carriers that obtain corresponding to calorific value generate the mean calorie of the survey region biomass carrier, it is described Mean calorie model determines that the survey region biomass carrier mean calorie is as follows:
Wherein, H is the survey region biomass carrier mean calorie, unit kJ/kg；J is biomass carrier number； M is survey region endogenous substance carrier type sum；HjFor calorific value corresponding to biomass carrier type, unit kJ/kg；Wj For a kind of biomass carrier ratio shared in all biological matter carrier.
Step 5: true according to biomass thermal power plant consumption of raw materials amount model using the biomass carrier mean calorie obtained Determine the relationship of geographic latitude Yu biomass thermal power plant consumption of raw materials amount.
It is determined between heating load and power supply volume according to electrical energy demands amount and hotspot stress in conjunction with hotspot stress seasonal fluctuation coefficient Relationship, the relationship between heating load and power supply volume is determined by following heating load model:
Eg=αkardEp×3600kJ/(kW·h) (11)
Wherein, EgFor heating load, unit kJ；αkFor hotspot stress seasonal fluctuation coefficient, k is season number；
According to determining heating load, the demand for energy of the survey region is obtained, it is true by following energy demand model The demand for energy of the fixed survey region:
E=αkardEp×3600kJ/(kW·h)+Ep×3600kJ/(kW·h) (12)
Wherein, E is demand for energy, unit kJ；
Biomass thermal power plant consumption of raw materials is calculated in conjunction with biomass carrier mean calorie according to determining demand for energy Amount, the model of the biomass thermal power plant consumption of raw materials amount are as follows:
Wherein, B is biomass steam power plant consumption of raw materials amount, unit kg；σ is the thermal efficiency；H is the survey region biology Matter carrier mean calorie, unit kJ/kg.
The present invention assesses the demand for energy in different latitude area, timely according to the Ecological Potential of biomass carrier Space division analysis, builds more reasonable biomass resource supplying mode.The present invention combines biomass utilization with raw materials requirement, adds By force to the confluence analysis of biomass resource and unified planning, the waste of resource is reduced, can more accurately be proposed biomass thermal The coverage of power plant determines that providing planning suggests.It is calculated relative to traditional biomass thermal power plant consumption of raw materials amount, this hair It is bright to newly increase hotspot stress seasonal fluctuation coefficient etc., make entire calculating process more closer to reality situation, degree of precision can be obtained Calculated result.
The above is only the preferred implementation of the method for determining geographic latitude and biomass thermal power plant consumption of raw materials magnitude relation It is above-mentioned to determine that the protection scope of geographic latitude and the method for biomass thermal power plant consumption of raw materials magnitude relation is not limited merely to for mode Embodiment, all technical solutions belonged under thinking all belong to the scope of protection of the present invention.It should be pointed out that for the art For technical staff, several improvements and changes without departing from the principles of the present invention, such modifications and variations also be should be regarded as Protection scope of the present invention.

Claims (6)

1. a kind of method of determining geographic latitude and biomass thermal power plant consumption of raw materials magnitude relation, it is characterized in that: including following step It is rapid:
Step 1: analysis target and survey region are determined, respectively according to geographic latitude and outdoor design temperature for heating and geography The scatter plot of mean temperature establishes polynomial of one indeterminate simulation model outside latitude and heating room, determines geographic latitude and heating room respectively The outer relationship for calculating mean temperature outside temperature and geographic latitude and heating room；
Step 2: according to civil buildings heat consumption and area of heat-supply service, determine that thermal demand is horizontal in survey region；
Step 3: it is horizontal according to thermal demand in determining survey region, in conjunction with power demand levels calculate demand for energy and Hotspot stress；
Step 4: according to the calorific value and accounting of different type biomass carrier, determining influence of the biomass carrier type to calorific value, Determine survey region endogenous substance carrier mean calorie；
Step 5: establishing biomass thermal power plant consumption of raw materials model, determines geographic latitude and biomass thermal power plant consumption of raw materials amount Relationship.
2. a kind of method of determining geographic latitude and biomass thermal power plant consumption of raw materials magnitude relation according to claim 1, It is characterized in that: the step 1 specifically:
Step 1: select several latitudes between 114 ° to 118 °, height above sea level is in 10m-50m, the climatic province cities and towns Shu Wei3A, as Analyze target and survey region；
Step 2: determining mean temperature outside the outdoor design temperature for heating and heating room in target cities and towns；
It is put down step 3: being drawn outside geographic latitude and outdoor design temperature for heating sample scatter plot and geographic latitude and heating room respectively Equal temperature samples scatter plot；
Step 4: being fitted using EXCEL software to scatter plot, it is fitted scatter plot relationship using unary linear regression equation, is established Geographic latitude and the polynomial of one indeterminate for calculating mean temperature outside outdoor design temperature for heating and geographic latitude and heating room simulate mould Type is as follows:
Wherein, TaMean temperature outside heating room is calculated for the survey region, unit is DEG C；TwnFor outdoor design temperature for heating, Unit is DEG C；For geographic latitude, unit rad.
3. a kind of method of determining geographic latitude and biomass thermal power plant consumption of raw materials magnitude relation according to claim 1, It is characterized in that: the step 2 specifically:
Step 1: determining heating mean heat flux by following heating mean heat flux model:
Qnp=qn(Tn-Ta)/(Tn-Twn) (3)
Wherein, QnpFor heating mean heat flux, unit kW；qnFor design space-heating load, unit kW；TnFor indoor design Temperature, unit be DEG C, TaMean temperature outside heating room is calculated for the survey region, unit is DEG C；TwnTo be calculated outside heating room Temperature, unit are DEG C；
Step 2: determining the heating individually built by the Calculating model of the heating whole year heat consumption of the building of the survey region The Calculating model of annual heat consumption, the heating whole year heat consumption of the building of the survey region is as follows:
Wherein,For the heating whole year heat consumption individually built, unit kJ；QnpFor heating mean heat flux, unit kW；N For days of heating period；
Step 3: individually built by the Calculating model determination of domestic hot-water's whole year heat consumption of the building of the survey region The Calculating model of domestic hot-water's whole year heat consumption, domestic hot-water's whole year heat consumption of the building of the survey region is as follows:
Wherein,For the domestic hot-water's whole year heat consumption individually built, unit kJ；QspFor Heating Period domestic hot-water's evenly heat Load, unit kW；QspxFor non-heating period domestic hot-water's mean heat flux；
Step 4: according to the heating whole year heat consumption and domestic hot-water's whole year heat consumption individually built, by described in following formula determination The thermal demand of survey region is horizontal:
Wherein, EgFor the year thermal demand of the survey region, unit kJ；For the heating whole year heat consumption individually built, Unit is kJ；For the domestic hot-water's whole year heat consumption individually built, unit kJ；F is required area of heat-supply service, unit m2。
4. a kind of method of determining geographic latitude and biomass thermal power plant consumption of raw materials magnitude relation according to claim 1, It is characterized in that: the step 3 specifically:
Step 1: determining the year power demand levels of the survey region by following formula:
Wherein, EpFor the year electrical energy demands of the survey region, unit kW；I is product number, and n is to produce in the survey region Product total quantity；biFor the predicted value of the gross national product value added of certain following period；giFor the predicted value of unit power consumption；
Step 2: according to the horizontal E of year thermal demand of the determining survey regiongWith the survey region power demand levels Ep, the year energy demand model for establishing the survey region is as follows:
E=aEp+bEg (8)
Wherein, E is the year energy demand of the survey region, unit kWh；A is electricity consumption coefficient of variation；B is with the unexpected damage of heat Consume coefficient；
Step 3: determining annual hotspot stress by following formula:
Wherein, ard is annual hotspot stress；EgFor the year thermal demand of the survey region, unit kJ；EpFor the research The year electrical energy demands in region, unit kW.
5. a kind of method of determining geographic latitude and biomass thermal power plant consumption of raw materials magnitude relation according to claim 1, It is characterized in that: the step 4 specifically:
Step 1: determine different seed of forest areas, stalk yield, Amount of poultry excrements and municipal refuse resource quantity of goods produced, according to Different seed of forest areas, stalk yield, Amount of poultry excrements and municipal refuse resource quantity of goods produced determine raw in the survey region The type of material carrier and its proportion in all biological matter carrier；
Step 2: carrying out calorific value detection to all biological matter carrier using calorific value detector, the corresponding heat of different biomass is determined Value；
Step 3: establishing following mean calorie model determines the survey region biomass carrier mean calorie:
Wherein, H is the survey region biomass carrier mean calorie, unit kJ/kg；J is biomass carrier number；M is Survey region endogenous substance carrier type sum；HjFor calorific value corresponding to biomass carrier type, unit kJ/kg；WjIt is one Kind biomass carrier ratio shared in all biological matter carrier.
6. a kind of method of determining geographic latitude and biomass thermal power plant consumption of raw materials magnitude relation according to claim 1, It is characterized in that: the step 5 specifically:
Step 1: according to the year electrical energy demands amount E of survey regionpWith annual hotspot stress ard, in conjunction with hotspot stress seasonal fluctuation system Number, determines the relationship between heating load and power supply volume by following heating load model:
Eg=αkardEp×3600kJ/(kW·h) (11)
Wherein, EgFor heating load, unit kJ；αkFor hotspot stress seasonal fluctuation coefficient, k is season number；
Step 2: determining the demand for energy of the survey region by following energy demand model:
E=αkardEp×3600kJ/(kW·h)+Ep×3600kJ/(kW·h) (12)
Wherein, E is demand for energy, unit kJ；
Step 3: according to demand for energy E and the survey region biomass carrier mean calorie H, by establishing following biology Matter steam power plant consumption of raw materials amount model calculates biomass thermal power plant consumption of raw materials amount:
Wherein, B is biomass steam power plant consumption of raw materials amount, unit kg；σ is the thermal efficiency；H is survey region biomass load Body mean calorie, unit kJ/kg.
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