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models:cityinsight:v1b: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
models/cityinsight/v1b/training_exercises_solutions.txt · Last modified: 2018/02/01 03:33 by marcus.williams