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Commit ed43bcb5 authored by Markus Millinger's avatar Markus Millinger
Browse files

Changed naming of set from biomass to feed, to incorporate also power options

parent 2802304c
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src/benopt.gms
View file @ ed43bcb5
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src/feedCost.m
View file @ ed43bcb5
......@@ -25,18 +25,18 @@ for time=1:f.runTime
f.priceDev(time) = (1+s.priceDevFactor)^(time-1);
end
indexWheat = find(contains(f.feedNames,{'Wheat'}));
f.wheatIncome = f.wheatPriceStart*f.feedYieldFM(:,indexWheat).*f.priceDev'; %/ha
indexWheat = find(contains(f.cropNames,{'Wheat'}));
f.wheatIncome = f.wheatPriceStart*f.cropYieldFM(:,indexWheat).*f.priceDev'; %/ha
s.labourCost = s.labourCostStart.*f.priceDev;
s.dieselCost = s.dieselCostStart.*f.priceDev;
f.feedLabourCostHa = s.labourCost.*f.feedLabourHa';
f.feedDieselCostHa = s.dieselCost.*f.feedDieselHa';
f.feedExpensesHa = f.feedLabourCostHa+f.feedDieselCostHa+ones(1,s.runTime).*(f.feedMachineFixHa+f.feedMachineVarHa+f.feedServiceCostsHa+f.feedDirectCostsHa)';
f.cropLabourCostHa = s.labourCost.*f.cropLabourHa';
f.cropDieselCostHa = s.dieselCost.*f.cropDieselHa';
f.cropExpensesHa = f.cropLabourCostHa+f.cropDieselCostHa+ones(1,s.runTime).*(f.cropMachineFixHa+f.cropMachineVarHa+f.cropServiceCostsHa+f.cropDirectCostsHa)';
f.wheatProfit = f.wheatIncome-f.feedExpensesHa(indexWheat,:)';
f.feedProfit = f.wheatProfit;
f.feedIncomeHa = f.feedExpensesHa+ones(1,s.runTime).*f.feedProfit';
f.wheatProfit = f.wheatIncome-f.cropExpensesHa(indexWheat,:)';
f.cropProfit = f.wheatProfit;
f.cropIncomeHa = f.cropExpensesHa+ones(1,s.runTime).*f.cropProfit';
%% Residue price development
......@@ -45,12 +45,12 @@ end
%% Calculate price categories
f.feedPrice = f.feedIncomeHa./f.feedYieldDM'; %/tDM
f.feedPriceGJBase = f.feedPrice./f.feedDMenergyContent'; % /GJ
f.cropPrice = f.cropIncomeHa./f.cropYieldDM'; %/tDM
f.cropPriceGJBase = f.cropPrice./f.cropDMenergyContent'; % /GJ
for c=1:f.cat
for b=1:f.numFeed
f.feedPriceGJ(:,b,c) = f.feedPriceGJBase(b,:);
for b=1:f.numCrop
f.cropPriceGJ(:,b,c) = f.cropPriceGJBase(b,:);
end
for b=1:f.numResidue
if c==1
......@@ -66,6 +66,6 @@ end
end
%% Land demand / biomass
f.landReqGJFuel = (f.feedDMenergyContent.*f.feedYieldDM).^-1; %ha/GJ_feed
f.landReqGJFuel = (f.cropDMenergyContent.*f.cropYieldDM).^-1; %ha/GJ_crop
end
\ No newline at end of file
src/gamsRun.m
View file @ ed43bcb5
......@@ -30,7 +30,7 @@ while error==1 && runComplete==0
solName = ['matsol' num2str(scenario) '1'];
elseif contains(version,'costMin')
gamsTemp.solveOption.val = 1;
solName = ['matsol' num2str(scenario) '1'];
solName = ['matsol' num2str(scenario) '2'];
end
wgdx('matdata.gdx',g.d,g.C,g.I,g.J,g.F,g.B,g.BR,g.BF,g.tb,g.ts,g.fuelType,g.PwrSrc,g.PwrMix,g.PwrRes,...
......@@ -144,17 +144,17 @@ costAnnualstr.form = 'full';
costAnnual = rgdx(solName, costAnnualstr);
gamsOut.costAnnual=costAnnual.val;
biomassstr.uels = {strsplit(num2str(s.year)), s.techNames, f.biomassNames,g.cats};
biomassstr.name = 'biomassUse';
biomassstr.form = 'full';
biomassUse = rgdx(solName, biomassstr);
gamsOut.biomassUse=biomassUse.val;
feedstr.uels = {strsplit(num2str(s.year)), s.techNames, f.feedNames,g.cats};
feedstr.name = 'feedUse';
feedstr.form = 'full';
feedUse = rgdx(solName, feedstr);
gamsOut.feedUse=feedUse.val;
biomassImportstr.uels = {strsplit(num2str(s.year)), s.techNames, f.biomassNames};
biomassImportstr.name = 'biomassUseImport';
biomassImportstr.form = 'full';
biomassUseImport = rgdx(solName, biomassImportstr);
gamsOut.biomassUseImport=biomassUseImport.val;
feedImportstr.uels = {strsplit(num2str(s.year)), s.techNames, f.feedNames};
feedImportstr.name = 'feedUseImport';
feedImportstr.form = 'full';
feedUseImport = rgdx(solName, feedImportstr);
gamsOut.feedUseImport=feedUseImport.val;
capstr.uels = {strsplit(num2str(s.year)), s.techNames};
capstr.name = 'cap';
......@@ -218,19 +218,19 @@ gamsOut.prd2 = (sum(gamsOut.prd,3).*s.powerByprod+sum(gamsOut.prd,3).*s.heatBypr
% o.prd4 = sum(sum(o.prd3,2),1); %2 to 1 dimension, sorted by markets
% Biomass Use (time,tech) [PJ]
gamsOut.biomassUse2 = squeeze(sum(sum(gamsOut.biomassUse,4),3)); %4 to 2 dimensions sorted by techs
gamsOut.feedUse2 = squeeze(sum(sum(gamsOut.feedUse,4),3)); %4 to 2 dimensions sorted by techs
% Biomass Use (time,biomass Type) [PJ]
gamsOut.biomassUse3 = squeeze(sum(sum(gamsOut.biomassUse,2),4)); %4 to 2 dimensions sorted by biomass
gamsOut.feedUse3 = squeeze(sum(sum(gamsOut.feedUse,2),4)); %4 to 2 dimensions sorted by biomass
% Biomass Use (time, tech, biomass) [PJ]
gamsOut.biomassUse4 = squeeze(sum(gamsOut.biomassUse,4)); %4 to 3 dimensions
gamsOut.feedUse4 = squeeze(sum(gamsOut.feedUse,4)); %4 to 3 dimensions
% Biomass Use Import (time,tech) [PJ]
gamsOut.biomassUseImport2 = squeeze(sum(gamsOut.biomassUseImport,3)); %3 to 2 dimensions sorted by techs
gamsOut.feedUseImport2 = squeeze(sum(gamsOut.feedUseImport,3)); %3 to 2 dimensions sorted by techs
% Biomass Use Import (time,biomass Type) [PJ]
gamsOut.biomassUseImport3 = squeeze(sum(gamsOut.biomassUseImport,2)); %3 to 2 dimensions sorted by biomass
gamsOut.feedUseImport3 = squeeze(sum(gamsOut.feedUseImport,2)); %3 to 2 dimensions sorted by biomass
%%Correcting total demand in PJ by the fuel economy per km
indexEl = find(contains(s.techNames,{'BEV'}));
......
src/gamsVar.m
View file @ ed43bcb5
......@@ -42,13 +42,13 @@ g.F.name = 'fuel';
g.F.type='set';
g.F.uels = {s.fuelNames};
g.BR.name = 'biomassResidue';
g.BR.name = 'feedResidue';
g.BR.type='set';
g.BR.uels = {f.residueNames};
g.BF.name = 'biomassCrop';
g.BF.name = 'feedCrop';
g.BF.type='set';
g.BF.uels = {f.feedNames};
g.BF.uels = {f.cropNames};
% Power sources
g.PwrSrc.name = 'powerSource';
......@@ -65,18 +65,18 @@ g.PwrRes.type='set';
g.PwrRes.uels = {'PowerRes'};
% Biomass/Feestock: Residues+Cultivation+power source combined
g.B.name = 'biomass';
g.B.name = 'feed';
g.B.type ='set';
g.B.uels = {f.biomassNames};
g.B.uels = {f.feedNames};
%% Set Dependency
% Which technologies use which biomass
g.techbiomass = transpose(techData.data.techInputData(96:(96+f.numResidue+f.numFeed+f.numPowerSource-1),1:s.numTech));
g.techbiomass = transpose(techData.data.techInputData(96:(96+f.numResidue+f.numCrop+f.numPowerSource-1),1:s.numTech));
g.techbiomass(isnan(g.techbiomass))=0;
g.tb.uels = {s.techNames,f.biomassNames};
g.tb.uels = {s.techNames,f.feedNames};
g.tb.name = 'TB';
g.tb.type='set';
g.tb.form='full';
......@@ -216,7 +216,7 @@ gamsTemp.ghgEmisT1.form = 'full';
gamsTemp.ghgEmisT1.val = r.ghgTransport1GJfeed(:,1); %kgCo2eq/GJ = ktCo2eq/PJ
% Conversion efficiency biomass specific
gamsTemp.convEtaBiomSpec.uels = {strsplit(num2str(s.year)), f.biomassNames, s.techNames};
gamsTemp.convEtaBiomSpec.uels = {strsplit(num2str(s.year)), f.feedNames, s.techNames};
gamsTemp.convEtaBiomSpec.name = 'convEtaBiomSpec';
gamsTemp.convEtaBiomSpec.type = 'parameter';
gamsTemp.convEtaBiomSpec.form = 'full';
......@@ -302,7 +302,7 @@ gamsTemp.resImportMax.val = g.resImportMax'; %PJ_biomass
% Land demand [ha/PJ]
gamsTemp.landDmdPJ.uels = {strsplit(num2str(s.year)), f.feedNames};
gamsTemp.landDmdPJ.uels = {strsplit(num2str(s.year)), f.cropNames};
gamsTemp.landDmdPJ.name = 'landDmdPJ';
gamsTemp.landDmdPJ.type = 'parameter';
gamsTemp.landDmdPJ.form = 'full';
......@@ -318,11 +318,11 @@ gamsTemp.landMax.val = g.landMax;
% land use initial [ha]
gamsTemp.feedLandUseInit.uels = {f.feedNames};
gamsTemp.feedLandUseInit.name = 'feedLandUseInit';
gamsTemp.feedLandUseInit.uels = {f.cropNames};
gamsTemp.feedLandUseInit.name = 'cropLandUseInit';
gamsTemp.feedLandUseInit.type = 'parameter';
gamsTemp.feedLandUseInit.form = 'full';
gamsTemp.feedLandUseInit.val = f.feedLandUseInit'; %[ha]
gamsTemp.feedLandUseInit.val = f.cropLandUseInit'; %[ha]
% lifetime of technologies
......@@ -354,22 +354,22 @@ gamsTemp.bioResPot.form = 'full';
gamsTemp.bioResPot.val = f.resPot';
% Potential of biomass residue import
gamsTemp.bioResPotImport.uels = {strsplit(num2str(s.year)), f.biomassNames};
gamsTemp.bioResPotImport.uels = {strsplit(num2str(s.year)), f.feedNames};
gamsTemp.bioResPotImport.name = 'bioResPotImport';
gamsTemp.bioResPotImport.type = 'parameter';
gamsTemp.bioResPotImport.form = 'full';
gamsTemp.bioResPotImport.val = f.resPotImport';
% Biomass price (time, biomass, cats) [Mio/PJ]
gamsTemp.biomassPrice.uels = {strsplit(num2str(s.year)), f.biomassNames, g.cats};
gamsTemp.biomassPrice.name = 'biomassPrice';
gamsTemp.biomassPrice.uels = {strsplit(num2str(s.year)), f.feedNames, g.cats};
gamsTemp.biomassPrice.name = 'feedPrice';
gamsTemp.biomassPrice.type = 'parameter';
gamsTemp.biomassPrice.form = 'full';
gamsTemp.biomassPrice.val = [f.feedPriceGJ f.resPrice f.powerPrice]; %[Mio/PJ]
gamsTemp.biomassPrice.val = [f.cropPriceGJ f.resPrice f.powerPrice]; %[Mio/PJ]
% Biomass price Import (time, biomass) [Mio/PJ]
gamsTemp.biomassPriceImport.uels = {strsplit(num2str(s.year)), f.biomassNames};
gamsTemp.biomassPriceImport.name = 'biomassPriceImport';
gamsTemp.biomassPriceImport.uels = {strsplit(num2str(s.year)), f.feedNames};
gamsTemp.biomassPriceImport.name = 'feedPriceImport';
gamsTemp.biomassPriceImport.type = 'parameter';
gamsTemp.biomassPriceImport.form = 'full';
gamsTemp.biomassPriceImport.val = squeeze(gamsTemp.biomassPrice.val(:,:,3));% + f.ImportPriceSur';
......
src/ghgEmissions.m
View file @ ed43bcb5
......@@ -37,13 +37,13 @@ for time=1:s.runTime
+f.ghgPowerDrying.*s.ghgEFPower(time)...
+f.ghgDiesel.*s.ghgEFDiesel(time); %kg Co2eq/ha/a
f.ghgCultivationTotTfm(time,:) = f.ghgCultivationTotHa(time,:)./f.feedYieldFM(time,:); %%kg Co2eq/tFM - FeedYield without temporal development
f.ghgCultivationTotGJfeed(time,:) = f.ghgCultivationTotTfm(time,:)./f.feedFMenergyContent; %%kg Co2eq/GJfeed
f.ghgCultivationTotTfm(time,:) = f.ghgCultivationTotHa(time,:)./f.cropYieldFM(time,:); %%kg Co2eq/tFM - FeedYield without temporal development
f.ghgCultivationTotGJfeed(time,:) = f.ghgCultivationTotTfm(time,:)./f.cropFMenergyContent; %%kg Co2eq/GJfeed
%%
f.ghgTransport1(time) = (s.ghgTransp1DistFull.*s.ghgTranspDieselFull+...
s.ghgTransp1DistEmpty.*s.ghgTranspDieselEmpty).*s.ghgEFDiesel(time)./s.ghgTransp1Amount; %CO2eq/tFM
f.ghgTransport1GJfeed(time,1:f.numFeed) = f.ghgTransport1(time).*ones(1,f.numFeed)./f.feedFMenergyContent; %CO2eq/tFM
f.ghgTransport1GJfeed(time,1:f.numCrop) = f.ghgTransport1(time).*ones(1,f.numCrop)./f.cropFMenergyContent; %CO2eq/tFM
%% Hard coded reference to Poplar - redo!
......@@ -52,8 +52,8 @@ for time=1:s.runTime
elseif s.heatOption==2
s.ghgEFHeat(time,:) = ones([s.numTech,1])*(...
f.ghgCultivationTotHa(time,6)... %CO2eq/ha
+f.ghgTransport1(time).*f.feedYieldFM(6)... %CO2eq/tFM * tFM/ha
)./(f.feedYieldGJ(6).*10^6*s.heatEta); %CO2eq/ha *(GJ/ha)^-1 * GJ/MJ * eta^-1
+f.ghgTransport1(time).*f.cropYieldFM(6)... %CO2eq/tFM * tFM/ha
)./(f.cropYieldGJ(6).*10^6*s.heatEta); %CO2eq/ha *(GJ/ha)^-1 * GJ/MJ * eta^-1
end
s.ghgP1tot(time,:) = s.ghgP1Heat(time,:).*s.ghgEFHeat(time,:)...
+ s.ghgP1Power(time,:).*s.ghgEFPower(time)... + s.ghgP1Hydrogen.*s.ghgEFHydrogen(time)...Hydrogen GHG is calculated in GAMS
......@@ -63,16 +63,16 @@ for time=1:s.runTime
+s.ghgP2Power(time,:).*s.ghgEFPower(time)...
+s.ghgP2CH3OH(time,:).*s.ghgEFCH3OH(time);
s.ghgP2Byprod(time,:) = s.ghgP2YieldByprod.*10^3-s.ghgP2ByprodUpgradePower.*s.ghgEFPower(time); %/tFM_feed
s.ghgP2Byprod(time,:) = s.ghgP2YieldByprod.*10^3-s.ghgP2ByprodUpgradePower.*s.ghgEFPower(time); %/tFM_crop
s.ghgTransport21(time,:) = s.ghgTranspGasGridPower.*s.ghgEFPower(time)+s.ghgTranspProcessHeat.*s.ghgEFHeat(time,:);
s.ghgTransport22(time,:) = (s.ghgTransp2DistFull.*s.ghgTranspDieselFull+s.ghgTransp2DistEmpty.*s.ghgTranspDieselEmpty).*s.ghgEFDiesel(time)./s.ghgTranspAmount;
s.ghgTransport2(time,:) = s.ghgTransport21(time,:)+s.ghgTransport22(time,:);
s.P1toGJfactor(time,:) = s.ghgP1AllocationFactor.*s.ghgP2AllocationFactor...
./(s.feedFMenergyContent.*s.plantConvEta(time,:));
./(s.cropFMenergyContent.*s.plantConvEta(time,:));
s.P2toGJfactor(time,:) = s.ghgP2AllocationFactor./(s.feedFMenergyContent.*s.plantConvEta(time,:));
s.P2toGJfactor(time,:) = s.ghgP2AllocationFactor./(s.cropFMenergyContent.*s.plantConvEta(time,:));
s.ghgCultivationTotGJ(time,:) = zeros(1,s.numTech);%s.ghgCultivationTotHa(time,:).*s.hatoGJfactor(time,:);
s.ghgTransport1GJ(time,:) = zeros(1,s.numTech);%s.ghgTransport1(time,:).*s.P1toGJfactor(time,:);
......@@ -80,8 +80,8 @@ for time=1:s.runTime
%%
s.ghgP1totGJ(time,:) = s.ghgP1tot(time,:).*s.P1toGJfactor(time,:);
s.ghgP2totGJ(time,:) = s.ghgP2tot(time,:).*s.P2toGJfactor(time,:);
s.ghgP2ByprodGJ(time,:) = -s.ghgP2Byprod(time,:)./(s.feedFMenergyContent.*s.plantConvEta(time,:));
s.ghgTransport2GJ(time,:) = s.ghgTransport2(time,:);%./(s.feedFMenergyContent.*s.plantConvEta(time,:));
s.ghgP2ByprodGJ(time,:) = -s.ghgP2Byprod(time,:)./(s.cropFMenergyContent.*s.plantConvEta(time,:));
s.ghgTransport2GJ(time,:) = s.ghgTransport2(time,:);%./(s.cropFMenergyContent.*s.plantConvEta(time,:));
%kgCo2eq/GJ
s.fuelGHGemission(time,:) = s.ghgCultivationTotGJ(time,:)+s.ghgTransport1GJ(time,:)+s.ghgP1totGJ(time,:)+s.ghgP2totGJ(time,:)+s.ghgP2ByprodGJ(time,:)+s.ghgTransport2GJ(time,:);
......
src/main.m
View file @ ed43bcb5
......@@ -27,9 +27,11 @@ close all;
%% Data Import
% Conversion options, biomass crops and residues and other data
% techData = importdata('../data/BENOPT_inputData_200409.xls'); %Save to variable - comment out if the .mat-file is up to date
% techData = ...
% importdata('../data/BENOPT_inputData_200409.xls'); %Save to variable - comment out if the .mat-file is up to date
% save('../data/techData.mat','techData'); %Save to .mat-file - comment out if the .mat-file is up to date
techData = importdata('../data/techData.mat'); %reads data from .mat file
techData = ...
importdata('../data/techData.mat'); %reads data from .mat file
%Set NaN data to zero
techData.data.techInputData(isnan(techData.data.techInputData)) = 0;
......@@ -58,21 +60,22 @@ for scenario = 1:noScenarios
%Set country specific data
countryID = 'DE';
% powerDataCountry = powerData(contains(powerData.cet_cest_timestamp,s.weatherYear),...
% contains(powerData.Properties.VariableNames,countryID));
% powerDataCountry = ...
% powerData(contains(powerData.cet_cest_timestamp,s.weatherYear),...
% contains(powerData.Properties.VariableNames,countryID));
% save(['../data/powerData' countryID '.mat'],'powerDataCountry'); %Save to .mat-file - comment out if the .mat-file is up to date
powerDataCountry = importdata(['../data/powerData' countryID '.mat']); %reads data from .mat file
[f,g,s] = setCountryData(techData,countryID,powerDataCountry,s,f); %Set country specific data
powerDataCountry = ...
importdata(['../data/powerData' countryID '.mat']); %reads data from .mat file
[f,g,s] = ...
setCountryData(techData,countryID,powerDataCountry,s,f); %Set country specific data
%Set variables
[f,g,s] = setData(techData,f,g,s);
%Calculate GHG emissions
[s,f] = ghgEmissions(s,f);
%% Monte Carlo sensitivity analysis example of VRE module
% monteCarlo(1000,s,f,g,techData);
%% Scenario loop
switch scenario
case 1 %Base scenario
......@@ -82,14 +85,15 @@ for scenario = 1:noScenarios
end
%Calculation of hourly residual load and other power metrics
[residualLoad,powerYear,s.RENshare,s.RENshare100] = vrePower(s.onShore,...
[residualLoad,powerYear,s.RENshare,s.RENshare100] = ...
vrePower(s.onShore,...
s.offShore,s.photoV,s.powerLoad,s.demandPower,s.MustRun,...
s.RENMustRun,s.powerStorage,s.powerStorageMax,s.PVcapFacInst,s.WindOncapFacInst,s.WindOffcapFacInst);
s.RENMustRun,s.powerStorage,s.powerStorageMax,s.PVcapFacInst,...
s.WindOncapFacInst,s.WindOffcapFacInst);
%Calculation of surplus power (TWh) per year and time step
[s.surplusPowerVar,s.surplusPowerVar2,s.posResLoad,s.resLoadDataHour] = surplusPower(g,s,residualLoad,powerYear);
% figure()
% plot(s.surplusPowerVar)
[s.surplusPowerVar,s.surplusPowerVar2,s.posResLoad,s.resLoadDataHour] = ...
surplusPower(g,s,residualLoad,powerYear);
%Setting dispatchable power demand as upper limit in power sector and
%passenger road transport demand
......@@ -99,26 +103,33 @@ for scenario = 1:noScenarios
% Call function for feed cost development
[s,f] = feedCost(s,f);
%Calculate GHG emissions
[s,f] = ghgEmissions(s,f);
% OPEX & CAPEX calculation
[o(scenario),p(scenario)] = costDevNoLearning(s,f);
% Define GAMS parameters
[gamsTemp,g] = gamsVar(s,f,o(scenario),p(scenario),scenario,g,techData);
[gamsTemp,g] = ...
gamsVar(s,f,o(scenario),p(scenario),scenario,g,techData);
% Run GAMS
[gamsOut(scenario),g] = gamsRun(s,f,g,scenario,noScenarios,gamsTemp,'ghgMax');
[gamsOut(scenario),g] = ...
gamsRun(s,f,g,scenario,noScenarios,gamsTemp,'ghgMax');
%% Iterate pareto
noPareto = 1;
% Set the GHG target vector (as share of max. achievable GHG abatement from GHG
% optimization)
% Set the GHG target vector (as share of max. achievable GHG abatement
% from GHG optimization)
iterStep = [0.99,0.95,0.85,0.7,0.5,0.6];
for paretoIter=1:noPareto
gamsTemp.ghgTarget.val = iterStep(paretoIter)*gamsOut(scenario).ghgTarget;
gamsTemp.ghgTarget.val = ...
iterStep(paretoIter)*gamsOut(scenario).ghgTarget;
[paretoTemp,g] = gamsRun(s,f,g,scenario,noScenarios,gamsTemp,'costMin');
[paretoTemp,g] = ...
gamsRun(s,f,g,scenario,noScenarios,gamsTemp,'costMin');
paretoVar(scenario,paretoIter) = paretoTemp;
end
end
......
src/plotting.m
View file @ ed43bcb5
......@@ -959,7 +959,7 @@ for scenario=1:6
else
subplot(2,4,scenario+1)
end
area(gamsOut(scenario).biomassUse3,'LineStyle','none')
area(gamsOut(scenario).feedUse3,'LineStyle','none')
end
legend([f.feedNames f.residueNames f.powerNames],'Position',[0.82 0.385 0.1 0.25],'Interpreter','none','FontSize',13)
%%
......
src/setCountryData.m
View file @ ed43bcb5
......@@ -72,9 +72,9 @@ g.demandEnd = techData.data.countryData(71:71+s.numSectors-1,i
s.plantCap = techData.data.techInputData(198+indexCountry,1:end);%*10^6;
f.feedYieldFMlow = techData.data.feedstockInputData(40+indexCountry,1:end); %GJ/tFM
f.feedYieldFMhigh = techData.data.feedstockInputData(70+indexCountry,1:end); %GJ/tFM
f.feedLandUseInit = techData.data.feedstockInputData(100+indexCountry,1:end); % [ha]
f.cropYieldFMlow = techData.data.feedstockInputData(40+indexCountry,1:end); %GJ/tFM
f.cropYieldFMhigh = techData.data.feedstockInputData(70+indexCountry,1:end); %GJ/tFM
f.cropLandUseInit = techData.data.feedstockInputData(100+indexCountry,1:end); % [ha]
f.resPot = techData.data.biomassResPot(1:f.numResidue,indexCountry);
s.ghgEFPowerData = techData.data.powerEmissions(1+indexCountry,[2017 2018 2030 2050]-2016); %kgCO2eq/kWh interp1([2015 2020 2025 2030 2035 2040 2045 2050],co2sourceData,2020:1:2050,'linear');
......
src/setData.m
View file @ ed43bcb5
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