期刊
ENERGY AND BUILDINGS
卷 76, 期 -, 页码 92-101出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2014.02.053
关键词
Simulation-based optimization; Building energy optimization; EnergyPlus; GA; Parallel; Distribute; HTCondor; SiPESC.OPT
资金
- SportE2 [27]
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. (C) 2014 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据