Model-based optimization strategy for a liquid desiccant cooling and dehumidification system

•A model-based optimization strategy is developed for energy saving in LDCD system.•An improved self-adaptive firefly algorithm is proposed to the presented optimization problem.•12.49% energy savings can be realized by utilizing the proposed optimization strategy.•The energy reduction of chiller sy...

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Veröffentlicht in:	Energy and buildings Jg. 194; S. 21 - 32
Hauptverfasser:	Ou, Xianhua, Cai, Wenjian, He, Xiongxiong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Lausanne Elsevier B.V 01.07.2019 Elsevier BV
Schlagworte:	Adaptive algorithms Adaptive systems Cooling Cooling systems Dehumidification Desiccants Energy conservation Energy consumption Energy conversion efficiency Energy efficiency Energy models Energy saving Heuristic methods Improved self-adaptive firefly algorithm Liquid desiccant cooling and dehumidification system Optimal control Optimization Optimization strategy Power efficiency Strategy Weight Optimization strategy Liquid desiccant cooling and dehumidification system Energy models Improved self-adaptive firefly algorithm Energy saving
ISSN:	0378-7788, 1872-6178
Online-Zugang:	Volltext
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