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Assessment of Geneva multi-family building stock: main characteristics and regression models for energy reference area determination

ContributorsKhoury, Jad
MandatorSCCER Future Energy Efficient Buildings & Districts (http://www.sccer-feebd.ch/)
Number of pages54
PublisherGeneva : SCCER Future Energy Efficient Buildings & Districts (http://www.sccer-feebd.ch/)
Publication date2016
Abstract

The objective of this study is to provide an inventory of the main characteristics of the multi-family residential sector in the canton of Geneva. Information on age, geographical location and typology of buildings are given and several regression models were developed to determine the energy area of the multi-family buildings using explanatory variables. The last part of the study focuses on aspects of heritage conservation, occupation status and ownership structure of the dwelling stock. The assessment shows that the Geneva multi-family sector is characterized by the highest proportion of dwellings occupied by tenants (86%), the lowest proportion of dwellings belonging to individual owners (41%) and the highest proportion of dwellings belonging to real estate companies and real estate investment funds (20%). This assessment is essential to better understand the issues and challenges related to deep energy renovation of these buildings and thus enables us to provide a set of practical recommendations to effectively achieve the potential energy savings in this sector.

Keywords
  • Assessment
  • Multi-family
  • Building stock
  • Characteristics
  • Energy reference area
  • Regression models
  • Geneva
NoteExtracts from PhD Thesis N°4752, University of Geneva
Funding
  • Autre - SCCER Future Energy Efficient Buildings & Districts (CTI)
Citation (ISO format)
KHOURY, Jad. Assessment of Geneva multi-family building stock: main characteristics and regression models for energy reference area determination. 2016
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accessLevelPublic
Identifiers
  • PID : unige:88423
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Technical informations

Creation10/21/2016 7:46:00 PM
First validation10/21/2016 7:46:00 PM
Update time03/15/2023 12:51:31 AM
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