CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

A differentiated description of building-stocks for a georeferenced urban bottom-up building-stock model

Magnus Österbring (Institutionen för bygg- och miljöteknik, Byggnadsteknologi) ; Érika Mata (Institutionen för energi och miljö, Energiteknik) ; Liane Thuvander (Institutionen för arkitektur) ; Mikael Mangold (Institutionen för bygg- och miljöteknik, Vatten Miljö Teknik) ; Filip Johnsson (Institutionen för energi och miljö, Energiteknik) ; Holger Wallbaum (Institutionen för bygg- och miljöteknik, Byggnadsteknologi)
Energy and Buildings (0378-7788). Vol. 120 (2016), p. 78-84.
[Artikel, refereegranskad vetenskaplig]

Several building-stock modelling techniques have been employed to investigate the impact of energy efficiency measures (EEM), where the description of the building-stock generally consists of an age-type classification to specify building characteristics for groups of buildings. Such descriptions lack the appropriate level of detail to differentiate the potential for EEM within age groups. This paper proposes a methodology for building-stock description using building-specific data and measured energy use to augment an age-type building-stock classification. By integrating building characteristics from energy performance certificates, measured energy use and envelope areas from a 2.5D GIS model, the building-stock description reflects the heterogeneity of the building-stock. The proposed method is validated using a local building portfolio (N = 433) in the city of Gothenburg, where modelled results for space heating and domestic hot water are compared to data from measurements, both on an individual building level and for the entire portfolio. Calculated energy use based on the building-stock description of the portfolio differ less than 3% from measured values, with 42% of the individual buildings being within a 20% margin of measured energy use indicating further work is needed to reduce or quantify the uncertainty on a building level.

Nyckelord: Building stock, GIS; Energy, Modelling, Residential



Den här publikationen ingår i följande styrkeområden:

Läs mer om Chalmers styrkeområden  

Denna post skapades 2016-04-21. Senast ändrad 2016-06-17.
CPL Pubid: 235002

 

Läs direkt!


Länk till annan sajt (kan kräva inloggning)