Building stock in Helsinki: Difference between revisions

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<t2b name="Share of energy demand by use type" index="Energy type,Use,Buiding" locations="Residential,Non residental,Industrial,Other" unit="kWh/m2a" desc="Description,Auxiliaries">
<t2b name="Share of energy demand by use type" index="Energy type,Use,Buiding" locations="Residential,Non residental,Industrial,Other" unit="kWh/m2a" desc="Description,Auxiliaries">
Cooling|Infiltration||||||PPT
Cooling|Infiltration|0,0|0,0||||PPT
Cooling|Ventilation||||||PPT
Cooling|Ventilation|0,0|0,0||||PPT
Cooling|Losses through walls through transmission||||||PPT
Cooling|Losses through walls through transmission|0,0|0,0||||PPT
Cooling|Heat input by solar radiation through windows||||||PPT
Cooling|Heat input by solar radiation through windows|0,0|0,0||||PPT
Cooling|Losses through windows through transmission||||||PPT
Cooling|Losses through windows through transmission|0,0|0,0||||PPT
Cooling|Other effects (e.g. people, electrical Appliances)||||||PPT
Cooling|Other effects (e.g. people, electrical Appliances)|0,0|0,0||||PPT
Heating|Infiltration||||||PPT
Heating|Infiltration|0,0|0,0||||PPT
Heating|Ventilation|29.19|27.56||||PPT
Heating|Ventilation|29,19|27,56||||PPT
Heating|Walls|34.75|32.81||||PPT
Heating|Walls|34,75|32,81||||PPT
Heating|Windows|15.49|14.63||||PPT
Heating|Windows|15,49|14,63||||PPT
Heating|Floors|8.74|8.25||||PPT
Heating|Floors|8,74|8,25||||PPT
Heating|Roofs|9.33|8.81||||PPT
Heating|Roofs|9.33|8.81||||PPT
Heating|Other|0|0||||PPT
Heating|Other|0,0|0,0||||PPT
Heating|Warm water|1.89|1.78||||Excel
Heating|Warm water|1.89|1.78||||Excel
Electricity|Lighting||||||Excel
Electricity|Lighting|0,0|0,0||||Excel
Electricity|Appliances||||||Excel
Electricity|Appliances|0,0|0,0||||Excel
Electricity|Ventilation||||||Excel
Electricity|Ventilation|0,0|0,0||||Excel
Electricity|Other||||||Excel
Electricity|Other|0,0|0,0||||Excel
</t2b>
</t2b>



Revision as of 07:34, 28 April 2015



Question

What is the building stock in Helsinki?

Answer

Rationale

Data

Building stock

The structures of the tables are based on CyPT Excel file N:\YMAL\Projects\ilmastotiekartta\Helsinki Data Input Template - Building Data.xlsx.

Table 1. Effective floor area of buildings by building type.

Type of data:

  • Average, City
  • Example, city
  • Average, city close by
  • Example, city close by
  • Average, national
  • Example, country

Quality of data

  • Statistics
  • Extrapolated
  • Calculated from statistics
  • Calculated from stat. inc. assumptions
Effective floor area of buildings(m2)
ObsBuildingBaseline202020252050Year of baselineType of dataQualityDescription
1Residential
2Public
3Industrial
4Other
Notes
Sheet 4_Input Buildings (Area Demand). Priority 1. Auxiliaries PPT. Absolute increase/decrease rate will be based on the inhabitants projected in time.
This is another list that was considered but rejected as too complex: Residential buildings, Government & public administration buildings, Commercial offices buildings, Data centers buildings, Education and K12 and universitiy buildings, Hospitals and healthcare buildings, Hotels and hospitality and leisure buildings, Exhibitions and fairs and halls buildings, Retail and stores and shops buildings, Warehouses & shopping mall buildings, Industrial buildings, Non residential buildings unspecified

Table 2. Existing situation of important energy parametres in the building stock.

Existing situation of total stock(%)
ObsPropertyResidentialPublicIndustrialOtherDescription
1Wall insulation
2High efficient glazing
3Efficient lighting in baseline
4Demand oriented lighting
5Building Efficiency Monitoring
6Building Remote Monitoring
7Building Performance Optimization
8Demand controlled ventilation
9Heat and Cold Recovery in ventilation
10Efficient Motors
11Building Automation BACS Class C
12Building Automation BACS Class B
13Building Automation BACS Class A
14Room Automation HVAC
15Room Automation HVAC + lighting
16Building Automation HVAC + lighting + blinds
Notes
Sheets 5_Input Residential, 6.0_Input Non Residential, 6.2_Input Public Admin. Priority 1. Auxiliaries PPT.

Energy demand

Table 3. Total energy demand by energy type and building type.

Total energy demand by type(kWh /m2 /a)
ObsEnergy typeResidentialPublicIndustrialOtherDescription
1Electricity
2Cooling
3Heating
Notes
Heating includes warm water. Sheets 5_Input Residential, 6.0_Input Non Residential, 6.2_Input Public Admin. Priority 1. Auxiliaries PPT.

Table 4. Shares of different energy sinks by building type.

Share of energy demand by use type(kWh/m2a)
ObsEnergy typeUseResidentialNon residentalIndustrialOtherDescriptionAuxiliaries
1CoolingInfiltration0,00,0PPT
2CoolingVentilation0,00,0PPT
3CoolingLosses through walls through transmission0,00,0PPT
4CoolingHeat input by solar radiation through windows0,00,0PPT
5CoolingLosses through windows through transmission0,00,0PPT
6CoolingOther effects (e.g. people, electrical Appliances)0,00,0PPT
7HeatingInfiltration0,00,0PPT
8HeatingVentilation29,1927,56PPT
9HeatingWalls34,7532,81PPT
10HeatingWindows15,4914,63PPT
11HeatingFloors8,748,25PPT
12HeatingRoofs9.338.81PPT
13HeatingOther0,00,0PPT
14HeatingWarm water1.891.78Excel
15ElectricityLighting0,00,0Excel
16ElectricityAppliances0,00,0Excel
17ElectricityVentilation0,00,0Excel
18ElectricityOther0,00,0Excel
Notes
Sheets 5_Input Residential, 6.0_Input Non Residential, 6.2_Input Public Admin. Priority 1. Auxiliaries: see table.

Table 5. Changes in energy efficiency of different energy sinks.

Efficiency increase decreasing energy demand(% /a)
ObsEnergy typeUseResidentialPublicIndustrialOtherDescription
1ElectricityLighting /Lamp stock
2ElectricityAppliances
3ElectricityVentilation
4ElectricityOther
5CoolingInfiltration
6CoolingVentilation
7CoolingOther (e.g. electric appliances, people)
8HeatingInfiltration
9HeatingVentilation
10HeatingFloors
11HeatingRoofs
12HeatingOther reasons
13HeatingWarm water
Notes
Sheets 5_Input Residential, 6.0_Input Non Residential, 6.2_Input Public Admin. Priority 3. Auxiliaries Excel.


Table 6. Important energy parameters.

Energy parameters(-)
ObsParameterUnitResidentialPublicIndustrialOtherDescriptionAuxiliary
1Ratio of wall area / effective area-0.000.000.000.000.00PPT
2Ratio of window/effective area-0.000.000.000.000.00PPT
3U-value of windowsW /m2 /K0.000.000.000.000.00PPT
4Solar heat gain coefficient "G-Value" of windows%0.00.00.00.00.0PPT
5Efficiency increase of G-value of windows% /a0.00.00.00.00.0Excel
6Efficiency increase of U-value of windows% /a0.00.00.00.00.0Excel
7U-value of building wallsW /m2 /K0.000.000.000.000.00PPT
Notes
Sheets 5_Input Residential, 6.0_Input Non Residential, 6.2_Input Public Admin. Priority 3. Auxiliaries: see table.

Lighting

Tables 7-8. Run times and shares of lamps by lamp type and building type.

Average run time of lamps per year(h /a)
ObsLampResidentialPublicIndustrialOtherDescription
1Incandescent lamps
2Compact fluorescent lamps
3Fluorescent lamps
4Low voltage halogen lamps
5Medium voltage halogen lamps
Shares of lamp types(%)
ObsLampResidentialPublicIndustrialOtherDescription
1Incandescent lamps
2Compact fluorescent lamps
3Fluorescent lamps
4Low voltage halogen lamps
5Medium voltage halogen lamps
Notes
Sheets 5_Input Residential, 6.0_Input Non Residential, 6.2_Input Public Admin. Priority 3. Auxiliaries Excel.

Other

Sheet 4_Input Buildings (Area Demand). Priority 1. Auxiliaries PPT. Nice to have specific factor otherwise we adapt standard data or other studies.

Possibly important information
Data Result
Number of households
Number of persons per household

Calculations

See also

References

Related files