Applying desirability Functions to preference modelling in low-energy building design optimization

E. Robinson, C. J. Hopfe, M. Emmerich, I. Yevseyeva, J. A. Wright

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

Building performance optimization is a valuable aid to design decision-making. Most existing research takes an 'a posteriori' approach, where stakeholder preferences are considered after deriving optimised results. Whilst this approach yields technically optimal solutions, it overlooks sub-optimal solutions that still satisfy stakeholder preferences. This research develops a technique to incorporate preferences into optimization by applying a "desirability function" to each criterion for multiple stakeholders. The approach enables the tradeoffs between decision-makers to be visualised as a Pareto frontier and aids "democratic" decision-making. Hence, incorporating preferences in advance of optimization may increase the likelihood of finding a desirable solution.

Originalspracheenglisch
Titel16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
Redakteure/-innenVincenzo Corrado, Enrico Fabrizio, Andrea Gasparella, Francesco Patuzzi
Herausgeber (Verlag)International Building Performance Simulation Association
Seiten3030-3037
Seitenumfang8
ISBN (elektronisch)9781713809418
PublikationsstatusVeröffentlicht - 2019
Extern publiziertJa
Veranstaltung16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 - Rome, Italien
Dauer: 2 Sep 20194 Sep 2019

Publikationsreihe

NameBuilding Simulation Conference Proceedings
Band5
ISSN (Print)2522-2708

Konferenz

Konferenz16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
LandItalien
OrtRome
Zeitraum2/09/194/09/19

ASJC Scopus subject areas

  • !!Building and Construction
  • !!Architecture
  • !!Modelling and Simulation
  • !!Computer Science Applications

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