A genetic algorithm for optimization of building envelope andhvac system parameters

Matti Palonen, Ala Hasan, Kai Siren

Research output: Contribution to conferenceConference articleScientificpeer-review

51 Citations (Scopus)

Abstract

The aim of this paper is to describe the features of a Genetic Algorithm (GA) developed to solve simulation-based optimization problems for the optimal design of building parameters. This GA has been developed using guidelines from top researchs in the field of evolutionary computation. It is mostly based on NSGA-II and Omni-optimizer. It can be used for single and multi-objective optimization problems with and without constrains. Both discrete and continuous variables can be handled. Real-world optimization problems in the field of building performance simulation are carried out to verify the performance of the developed GA. Results for a single-objective optimization problem are presented, where the aim is minimization of life cycle cost of a detached house. Besides diverse sets of non-dominated solutions results for a multi-objective building design problem are also presented.

Original languageEnglish
Pages159-166
Number of pages8
Publication statusPublished - 1 Dec 2009
MoE publication typeNot Eligible
Event11th International IBPSA Conference - Building Simulation 2009, BS 2009 - Glasgow, United Kingdom
Duration: 27 Jul 200730 Jul 2007

Conference

Conference11th International IBPSA Conference - Building Simulation 2009, BS 2009
CountryUnited Kingdom
CityGlasgow
Period27/07/0730/07/07

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Palonen, M., Hasan, A., & Siren, K. (2009). A genetic algorithm for optimization of building envelope andhvac system parameters. 159-166. Paper presented at 11th International IBPSA Conference - Building Simulation 2009, BS 2009, Glasgow, United Kingdom.