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High throughput computing based distributed genetic algorithm for building energy consumption optimization

Yang, Chunfeng, Li, Haijiang ORCID:, Rezgui, Yacine ORCID:, Petri, Ioan ORCID:, Yuce, Baris ORCID:, Chen, Biaosong and Jayan, Bejay 2014. High throughput computing based distributed genetic algorithm for building energy consumption optimization. Energy and Buildings 76 , pp. 92-101. 10.1016/j.enbuild.2014.02.053

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Simulation based energy consumption optimization problems of complicated building, solved by stochastic algorithms, are generally time-consuming. This paper presents a web-based parallel GA optimization framework based on high-throughput distributed computation environment to reduce the computation time of complex building energy optimization applications. The optimization framework has been utilized in an EU FP7 project - SportE2 (Energy Efficiency for Sport Facilities) to conduct large scale buildings energy consumption optimizations. The optimization results achieved for a testing building, KUBIK in Spain, showed a significant computation time deduction while still acquired acceptable optimal results.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TD Environmental technology. Sanitary engineering
T Technology > TH Building construction
Uncontrolled Keywords: Simulation-based optimization; Building energy optimization; EnergyPlus; GA; Parallel; Distribute; HTCondor; SiPESC.Opt
Additional Information: Online publication date: 4 March 2014.
Publisher: Elsevier
ISSN: 0378-7788
Date of Acceptance: 14 February 2014
Last Modified: 25 Oct 2022 09:23

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