# whatIf? Wiki

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models:cityinsight:v1:training_exercises_solutions

# User Training Exercises - Solutions, Hints & Notes

## Demographics

1. See variable → graph for `bioPhysical/demographics/population/population[s,ts,a]`
1. Drag time dimension to x-axis
2. Sum over age dimension
3. Select “male” in sex dimension
4. Select “female” in sex dimension

## Residential Buildings

1. Run the view “report energy use at various aggregations”
1. Choose option 1 (No questions just take all defaults)
2. When the graph appears, find the line for electricity
2. See variable → graph for `bioPhysical/energyUse/residentialStocks/resHeatSystems/newHeatSysShr[z,dtta,hs,ts]`
3. See variable → graph for `bioPhysical/energyUse/residentialStocks/resWaterHeaters/newWatHeaterShrAct[z,dtta,wht→ft_dwh,ts]`

## Non-Residential Buildings

1. Two solutions:
1. See variable → table for `bioPhysical/energyUse/consStatEnergyUse/comInstEnergyUse[z,nrbs,seeu,ft_all,ts]`
• Sum over zone, nonResBldSector, and fuelTypeAll
• Select spaceCooling from statEnrEndUse dimension
2. Run the view “report energy use at various aggregations”
• Choose option 2 (Run interactively asking questions)
• Accept default values for all questions except:
• For “Which result do you you want to see?”, choose option 3 (energy custom with end uses)
• For “How do you wish to handle fuel types?”, choose option 1 (Roll fuel types together)
• View data for aggSubSectorsEnr=Commercial, aggStationaryEndUse=Space_Cooling, time=2050
1. `bioPhysical/energyUse/buildingsEnergyUse/nonResBldSecEnrUse/NSCEnruseEff[nrbs,ceeunsc→cft,ts5]`

## Transportation

1. Run the view “Analysis - transportation fuel use and stock report”
• Choose option 2 (vehicle stock report)
• Choose option 2 (Report data using Table)
• Answer “y” to “Do you want to report by engine class electric?”
• Choose option 1 (light duty vehicles)
• From Window menu in table, select “new and fleet Light duty vehicle stock by size share)”
• Drag the dimension LDVClass to the rows
• Choose LDVSector=personalUseLDV
2. See variable → graph for `bioPhysical/energyUse/transportEnergyUse/PUVehEU/LDVehLabFuelCons[rut,ldvc,vpsld→ft_veh,mys]`
3. See variable → graph for `bioPhysical/energyUse/transportEnergyUse/PUVehEU/PUVehAFC[rut,ldvc,vpsld→ft_veh,ts,va]`

## Electricity Generation

1. See variable → table for `bioPhysical/communityEnergySupply/commElecGen/commDecentElecGenCap[z,degs,degtc→degt→ft_det,ts]`
• Sum over zone, decElecGenSector, and degtcCOdegtCOft_det
2. See variable → graph for `bioPhysical/communityEnergySupply/commElecGen/commDecentElecGen[z,degs,degtc→degt→ft_det,er,ts]`
• Drag degtcCOdegtCOft_det to legend
• Sum over zone, decElecGenSector, and energyRoute
• Identify the technology that corresponds to the line with the highest generation
3. See variable → table for `bioPhysical/communityEnergySupply/commElecGen/commDecentElecGenCapFac[z,degtc→degt→ft_det,ts]`
• Find technology in the degtcCOdegtCOft_det dimension

## Emissions

1. Run the view “report emissions at various aggregations” with two scenarios selected
• Choose option 1 (No questions just take all defaults)
• Sum over aggSubSectorsEm and GPCScope