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

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

Research output: Chapter in Book/Report/Conference proceedingConference paper

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.

Original languageEnglish
Title of host publication16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
EditorsVincenzo Corrado, Enrico Fabrizio, Andrea Gasparella, Francesco Patuzzi
PublisherInternational Building Performance Simulation Association
Pages3030-3037
Number of pages8
ISBN (Electronic)9781713809418
Publication statusPublished - 2019
Externally publishedYes
Event16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 - Rome, Italy
Duration: 2 Sep 20194 Sep 2019

Publication series

NameBuilding Simulation Conference Proceedings
Volume5
ISSN (Print)2522-2708

Conference

Conference16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
CountryItaly
CityRome
Period2/09/194/09/19

ASJC Scopus subject areas

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

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