Balancing indoor thermal comfort and energy consumption of air-conditioning and mechanical ventilation systems via sparse Firefly algorithm optimization

Abstract

The issue of diminishing global energy resources has been of significant concern in recent years. One of the most energy hungry components is the Air-Conditioning and Mechanical Ventilation (ACMV) Systems for buildings, which consumes more than 40% of the total building energy consumed on average. Since people are spending more time staying indoor, the… (More)
DOI: 10.1109/IJCNN.2017.7966028

Topics

9 Figures and Tables

Cite this paper

@article{Zhai2017BalancingIT, title={Balancing indoor thermal comfort and energy consumption of air-conditioning and mechanical ventilation systems via sparse Firefly algorithm optimization}, author={Deqing Zhai and Yeng Chai Soh}, journal={2017 International Joint Conference on Neural Networks (IJCNN)}, year={2017}, pages={1488-1494} }