Abstract
More and more urban designs show the appliance of low-energy techniques. Unfortunately, it is difficult to determine which one of these urban designs has the best results for energy consumption and CO2-emissions because of a lack of methods and techniques at district level. A new energy performance calculation method at district level including aspects like houses, transport and households is presented. 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 the critical factors are.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 9th Int. Conference on Design & Decision Support Systems, 7-10 July, Technische Universiteit Eindhoven, Leende |
| Place of Publication | Eindhoven |
| Publisher | Eindhoven University of Technology |
| Pages | 1-16 |
| ISBN (Print) | 978-90-6814-173-3 |
| Publication status | Published - 2008 |
| Event | conference; Design & Decision Support Systems; 2008-07-07; 2008-07-10 - Duration: 7 Jul 2008 → 10 Jul 2008 |
Conference
| Conference | conference; Design & Decision Support Systems; 2008-07-07; 2008-07-10 |
|---|---|
| Period | 7/07/08 → 10/07/08 |
| Other | Design & Decision Support Systems |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Fingerprint
Dive into the research topics of 'Comparing district designs - Screening analysis of the critical factors at the building level'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver