View source for Building stock in Helsinki

[[Category:Helsinki]]
[[Category:Buildings]]
{{variable|moderator=Jouni}}

== Question ==

What is the building stock in Helsinki?

== Answer ==



== Rationale ==

=== Data ===

{{comment|# |CHECK ALSO THIS DATA:|--[[User:Jouni|Jouni]] ([[User talk:Jouni|talk]]) 12:53, 5 May 2015 (UTC)}}

* [[Unit heat consumption of buildings in Finland]]
* http://era17.fi/wp-content/uploads/2010/10/sitran_selvityksia_39.pdf page 25
* http://www.teeparannus.fi/attachements/2010-12-21T11-54-1114846.pdf pages 8-9, also 40-45
* http://www.vtt.fi/inf/pdf/tiedotteet/2007/T2377.pdf page 20-21, also 30, 80
* [[Heating consumption of buildings]]

==== 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

<t2b name="Effective floor area of buildings" index="Building,Year" locations="Baseline,2020,2025,2050" unit="m2" desc="Year of baseline,Type of data,Quality,Description">
Residential|542330653|||||||
Public|17457121|||||||
Industrial|3277271|||||||
Other|1427526|||||||
</t2b>

;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.

<t2b name="Existing situation of total stock" index="Property,Building" locations="Residential,Public,Industrial,Other" desc="Description" unit="%">
Wall insulation|17|||Default building data. excel|
High efficient glazing|1||||
Efficient lighting in baseline|1,4||||
Demand oriented lighting|26,9||||
Building Efficiency Monitoring|||||
Building Remote Monitoring|||||
Building Performance Optimization|||||
Demand controlled ventilation|16,2||||
Heat and Cold Recovery in ventilation|||||
Efficient Motors|||||
Building Automation BACS Class C|||||
Building Automation BACS Class B|||||
Building Automation BACS Class A|||||
Room Automation HVAC|||||
Room Automation HVAC + lighting|||||
Building Automation HVAC + lighting + blinds|||||
</t2b>

;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.

<t2b name="Total energy demand by type" index="Energy type,Building" locations="Residential,Public,Industrial,Other" desc="Description" unit="kWh /m2 /a">
Electricity|||||
Cooling|||||
Heating|||||
</t2b>
;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.

<t2b name="Share of energy demand by use type" index="Energy type,Use,Buiding" locations="Residential,Other,Admin,Industry" unit="kWh/m2a" desc="Description,Auxiliaries">
Cooling|Infiltration|0.0|0.0|0.0|0.0||PPT
Cooling|Ventilation|0.0|0.0|0.0|9.0||PPT
Cooling|Losses through walls through transmission|0.0|0.0|0.0|0.0||PPT
Cooling|Heat input by solar radiation through windows|0.0|0.0|0.0|0.0||PPT
Cooling|Losses through windows through transmission|0.0|0.0|0.0|0.0||PPT
Cooling|Other effects (e.g. people, electrical Appliances)|0.0|0.0|0.0|0.0||PPT
Heating|Infiltration|0.0|0.0|0.0|0.0||PPT
Heating|Ventilation|29.19|27.56|27.22|27.22||PPT
Heating|Walls|34.75|32.81|32.40|32.40||PPT
Heating|Windows|15.49|14.63|14.44|14.44||PPT
Heating|Floors|8.74|8.25|8.15|8.15||PPT
Heating|Roofs|9.33|8.81|8.70|8.70||PPT
Heating|Other|0.0|0.0|0.0|0.0||PPT
Heating|Warm water|1.89|0.0|1.76|1.76||Excel
Electricity|Lighting|2.82|20.05|49.68|8.67||Excel
Electricity|Appliances|24.84|18.74|14.19|13.00||Excel
Electricity|Ventilation|0|12.03|21.29|18.24||Excel
Electricity|Other|0.56|23.69|56.77|51.76||Excel
</t2b>

{{attack|# |The problem with your table is that you have changed the columns. You cannot do that, because the original classification is what we use in the model. Instead, you have to extrapolate from the existing numbers to those classes needed in the model.|--[[User:Jouni|Jouni]] ([[User talk:Jouni|talk]]) 06:45, 29 April 2015 (UTC)}}

{{comment|# |Use decimal points instead of decimal commas.|--[[User:Jouni|Jouni]] ([[User talk:Jouni|talk]]) 06:45, 29 April 2015 (UTC)}}

{{comment|# |Also include references and links so that the reader can go back to the original data and see where the numbers came from.|--[[User:Jouni|Jouni]] ([[User talk:Jouni|talk]]) 06:45, 29 April 2015 (UTC)}}

;Notes: Sheets 5_Input Residential, 6.0_Input Non Residential, 6.2_Input Public Admin. Priority 1. Auxiliaries: see table.

Data from {{#l:Climate policies Helsinki additional data.zip}}

Total estimated amount of energy needed for cooling 23504480 kWh/a (whole Helsinki). Based on http://www.energiatehokashelsinki.fi/energiankulutus/Helsinki 14332 GWh/a for housing (total energy demand minus traffic 18 % [http://www.stadinilmasto.fi/files/2013/04/PEK-raportti.pdf] ) and http://www.korjaustieto.fi/pientalot/pientalojen-energiatehokkuus/energiatehokkuus-pientaloissa/pientalon-energiankulutus-ja-paastot.html 2 % of total energy demand of housing used for cooling. Total floor area of Helsinki needed (table 1).

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

<t2b name="Efficiency increase decreasing energy demand" index="Energy type,Use,Building" locations="Residential,Public,Industrial,Other" desc="Description" unit="% /a">
Electricity|Lighting /Lamp stock|0.6|0.6|0.6|0.6|
Electricity|Appliances|0.6|0.6|0.6|0.6|
Electricity|Ventilation|0.6|0.6|0.6|0.6|
Electricity|Other|0.6|0.6|0.6|0.6|
Cooling|Infiltration|2|0.6|0.6|0.6|
Cooling|Ventilation|2|0.6|0.6|0.6|
Cooling|Other (e.g. electric appliances, people)|2|0.6|0.6|0.6|
Heating|Infiltration|0.6|0.6|0.6|0.6|
Heating|Ventilation|0.6|0.6|0.6|0.6|
Heating|Floors|0.6|0.6|0.6|0.6|
Heating|Roofs|0.6|0.6|0.6|0.6|
Heating|Other reasons|0.6|0.6|0.6|0.6|
Heating|Warm water|1.1|0.6|0.6|0.6|
</t2b>

;Notes: Sheets 5_Input Residential, 6.0_Input Non Residential, 6.2_Input Public Admin. Priority 3. Auxiliaries Excel.

Estimated 3 % of houses renovated/year and 20 % increase in energy efficiency when renovated. [http://www.hel.fi/static/rakvv/ohjeet/energiatehokkuus_korjaamisessa.pdf] Data apart from 0.6% values from {{#l:Climate policies Helsinki additional data.zip}} 


'''Table 6. Important energy parameters.

<t2b name="Energy parameters" index="Parameter,Unit,Building" locations="Residential,Public,Industrial,Other" unit="-" desc="Description,Auxiliary">
Ratio of wall area / effective area|-|0.00|0.00|0.00|0.00|0.00|PPT
Ratio of window/effective area|-|0.00|0.00|0.00|0.00|0.00|PPT
U-value of windows|W /m2 /K|0.00|0.00|0.00|0.00|0.00|PPT
Solar heat gain coefficient "G-Value" of windows|%|0.0|0.0|0.0|0.0|0.0|PPT
Efficiency increase of G-value of windows|% /a|0.0|0.0|0.0|0.0|0.0|Excel
Efficiency increase of U-value of windows|% /a|0.0|0.0|0.0|0.0|0.0|Excel
U-value of building walls|W /m2 /K|0.00|0.00|0.00|0.00|0.00|PPT
</t2b>

;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.

<t2b name="Average run time of lamps per year" index="Lamp,Building" locations="Residential,Public,Industrial,Other" desc="Description" unit="h /a">
Incandescent lamps|||||
Compact fluorescent lamps|||||
Fluorescent lamps|||||
Low voltage halogen lamps|||||
Medium voltage halogen lamps|||||
</t2b>

<t2b name="Shares of lamp types" index="Lamp,Building" locations="Residential,Public,Industrial,Other" desc="Description" unit="%">
Incandescent lamps|||||
Compact fluorescent lamps|||||
Fluorescent lamps|||||
Low voltage halogen lamps|||||
Medium voltage halogen lamps|||||
</t2b>

;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.

{| {{prettytable}}
|+''Possibly important information
!Data!!Result
|----
|Number of households||
|----
|Number of persons per household||
|}

=== Calculations ===

== See also ==

* [http://en.opasnet.org/en-opwiki/index.php?title=Building_stock_in_Helsinki&oldid=35248#Calculations Descriptions about the summary calculations on sheet Parameter Balance] (not needed any more).
* [http://ptp.hel.fi/paikkatietohakemisto/?id=125 Rakennustietoruudukko pääkaupunkiseudulta] [https://www.hsy.fi/fi/asiantuntijalle/avoindata/Sivut/AvoinData.aspx?dataID=14]

== References ==

== Related files ==