Optimizing building designs using a robustness indicator with respect to user behavior

P. Hoes, M. Trcka, J.L.M. Hensen, B. Hoekstra Bonnema

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

33 Citations (Scopus)
207 Downloads (Pure)

Abstract

Multi-objective optimization algorithms are used in the building design process to find optimal solutions for design problems. Typically, these algorithms provide the decision maker with a Pareto front containing trade-off solutions. Since these solutions are equally good, the decision maker needs a method to select the most appropriate solution. In this paper, we propose a selection method that ranks the Pareto solutions according to their performance robustness. This allows the decision maker to select the most robust design solution. The proposed method is applied to an optimization problem of a building case study. The building performance robustness of this building is assessed for uncertainties in user behavior, since, for many buildings, that is a parameter with a high uncertainty and a high influence on the building performance. Our study shows that the proposed method provides the decision maker with useful information for the decision making process.
Original languageEnglish
Title of host publicationBuilding Simulation 2011 - 12th Conference of the International Building Performance Simulation Association, Sydney, November 2011
Pages1710-1717
Publication statusPublished - 2011
Event12th International IBPSA Building Simulation Conference (BS 2011), November 14-16, 2011, Sydney, Australia - Sydney, Australia
Duration: 14 Nov 201116 Nov 2011

Conference

Conference12th International IBPSA Building Simulation Conference (BS 2011), November 14-16, 2011, Sydney, Australia
Abbreviated titleBS 2011
CountryAustralia
CitySydney
Period14/11/1116/11/11

Fingerprint Dive into the research topics of 'Optimizing building designs using a robustness indicator with respect to user behavior'. Together they form a unique fingerprint.

Cite this