Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6733556 | Energy and Buildings | 2014 | 10 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Chunfeng Yang, Haijiang Li, Yacine Rezgui, Ioan Petri, Baris Yuce, Biaosong Chen, Bejay Jayan,