Austrian Energy Agency

Austrian Energy Agency

„Definition of average buildings – use for the

building stock model Austria“

International Expert Workshop „Building Typologies“

Maria Amtmann

BASIC ACTIVITES TO DEVELOP THE AUSTRIAN

TYPOLOGY

!   before TABULA started in May 2009 no common typology existing

!   Analysis of building data

- combine several existing data sources - definition of the geometrical / energetic

characteristics

!   Analysis of supply system data

- definition of the heating system typology - definition of the domestic hot water typology !   Analysis of data on the frequency of buildings and

system types

THE TWO BASIC PARAMETERS

!   The building size is defined in the four categories

SFH Single-family houses (1- 2 dwellings) TH Terraced houses

MFH Multi-family houses (3-10 dwellings) AB Apartment blocks (11- dwellings)

!   The construction periods: Combination of national

(architectural) history and national building statistics.

I up to 1918 II 1919 – 44 III 1945 – 60 IV 1961 – 80 V 1981 – 90 VI 1991 – 00 VII 2001 – 10 SFH TH MFH AB

The building type matrix:

!  28 basic reference buildings

4 sizes, 7 construction period -> National Brochure

!  Five systems per building: heating and domestic hot water – combined or not

combined

-> TABULA webtool

!  Definition of further parameters:

Construction elements, geometry of building, environment, age and kind of technical systems, already implemented refurbishment measures,..

THE METHODODICAL APROACH

!   Possible Approaches to choose “typical

building”:

(1) Example Buildings (data of an existing building)

(2) Synthetic representative Building (virtual building)

(3) Average representative Building (existing building corresponding to statistical data) !   Average representative Buildings:

Top-down: existing information from all regions and out of literature (definition criteria by cross floor area, heating demand and u- value)

Bottom-up: Extract of Reference buildings out of the energy certificate database

!   ZEUS implemented in three of nine provinces of Austria !   EPCs calculated via offline software programs

!   electronic interfaces for automated data transfer !   combine collection data - administrative purpose

-  simplified application for local subsidies

-  online archive

-  administration of subsidies

-  automated checks of plausibility for subsidies !   target group: consultants (access via secure link)

(1) Export of EPC data

!  made anonymous !  about 40. 000 EPCs

!  residential buildings: 93% !  Build. stock/ refurbished

60/ 40 %

!  extract 56 representative EPCs

Fig: Quantities residential buildings in EPC database per construction period and building category

EPC DATABASE EXPORT

Apartment blocks Multy family houses Single family houses

(2) Analysis of EPC raw data

EVALUATION PROCESS- AVERAGE VALUES OF

DIFFERENT PARAMETERS

Construction period I II III IV V VI VII

-1918 1919-44 1945-60 1961-80 1980-90 1991-00 2001-10 SFH Single-family house Living area [m²] 125-155 110-140 110-140 125-155 140-170 145-175 145-175 Heating demand [kWh/ m²a] 180-300 200-370 160-380 145-280 100-190 80-130 10-100 U-value [W/(m²K)] 1.0-1.8 1.1-1.45 1.0-1.2 0.6-0.85 0.35-0.8 0.3-0.7 0.2-0.6

MFH Multi-family house/ TH Terraced house

Living area [m²] 400-800 280-680 280-680 400-800 400-800 350-750 350-750 Heating demand [kWh/ m²a] 130-230 140-270 150-270 100-205 80-140 60-100 10-80 U-value [W/(m²K)] 1.0-1.8 1.1-1.45 1.0-1.2 0.6-0.85 0.35-0.8 0.3-0.7 0.2-0.6 AB Apartment blocks Living area [m²] >800 >700 >700 >800 >800 >800 >800 Heating demand [kWh/ m²a] 120-220 130-260 130-260 90-190 70-130 50-100 10-80 U-value [W/(m²K)] 0.9-1.7 1.0-1.4 0.9-1.1 0.5-0.8 0.35-0.75 0.3-0.7 0.2-0.6

(3) Consolidate data stock

Identify available EPCs before and after the refurbishment of the building Evaluate IDs and investigation of XML data for quality purposes

(4) Identify relevant IDs of EPCs for further investigations

Identification of relevant buildings based on reference information

(5) Extract all Data of identified EPC

Some data information, especially the exact data of the building elements, can only be taken out of the stored PDF file

0 50 100 150 200 250 300 I II III IV V VI VII

Evaluation EPC data: Comparison of heating demand of analysed EPC data (green bar) with reference data: before and after refurbishment measures

EPC DATABASE – EVALUATION PROCESS

Heating demand [kWh/m²a]

Construction periods

NATIONAL ENERGY BALANCES

!   Statistic data by the Austrian Statistical

Office - number of buildings and the living area sorted according to building periods

!   Distribution of the national final energy

demand per construction period

!   The national final energy consumption for the sector space heating and

domestic hot water: 61,508 GWh (“servicefactor” 0.65 [compare Skopetz, H.]) ■  before  1919   ■  1920  -­‐  1944   ■  1945  -­‐  1960   ■  1961  -­‐  1980   ■  1981  -­‐  1990   ■  1991  -­‐  2000   ■  2000  -­‐  2010  

!  Final energy reduction potentials scenario of possible national final energy demand reduction potentials (in TWh) per construction period and building category

  20       15       10       5  

NATIONAL ENERGY BALANCES

NATIONAL BUILDING TYPOLOGY BROCHURE

!  common supply systems !  Refurbishment measures !  Primary energy and CO2

EUROPEAN WEBTOOL

!  choose 5 different supply systems

!  Refurbishment measures !  Primary energy and CO2

CONCLUSIONS

!   The Austrian Typology: combination of EPC data information out of database with reference sources and the national statistical data for “buildings and dwellings”

Energy certificate database future improvements: !   organizational: collaboration among provinces !   risk management: standardized automatic checks

!   innovation/ maintaince: wider availability for faster market penetration and feedback procedures

!   usability: make transfer of XML data into EPC calculation program possible !   technical: one data standard, same data collection interface. For national

evaluations or investigation projects – precise information has to be stored in the XML version (geometries, orientation etc.)

Thanks for your attention!

http://www.energyagency.at/ gebaeude-raumwaerme/ aktuelle-projekte/ tabula www.building-typology.eu