Author(s)

R. Vreenegoor, B. de Vries & J. Hensen

Abstract

To accelerate energy saving in the built environment, housing associations should apply low-energy techniques in existing houses that are in need of renovation. Because of a lack of knowledge it is difficult for housing associations to determine which low-energy technique has the best results for energy consumption and CO2-emissions. In this research a decision support tool will be developed with a new energy performance calculation method at district level including aspects such as houses, transport and households. In this paper we focus on the critical factors at the building level that should be included in a district data model. Therefore we have executed a screening analysis to indicate what these critical factors are. Keywords: design support, energy performance simulation, screening analysis, building model. 1 Introduction 1.1 We need to save energy More and more people realize we need to save energy. Firstly because our fossil energy sources are decreasing. The estimated years of production for oil, gas and coal are 45, 65 and 200 years respectively [1,2]. Secondly we need to save energy because of the climate change. Our daily energy use, based on fossil fuels

Keywords

design support, energy performance simulation, screening analysis, building model.