干旱区生态环境知识资源中心(Arid): An Optimal Air-Conditioner On-Off Control Scheme under Extremely Hot Weather Conditions

Arid

DOI	10.3390/en13051021
	An Optimal Air-Conditioner On-Off Control Scheme under Extremely Hot Weather Conditions
	Al-Azba, Mohammed 1,2; Cen, Zhaohui 1; Remond, Yves 2; Ahzi, Said 1
通讯作者	Cen, Zhaohui
来源期刊	ENERGIES
EISSN	1996-1073
出版年	2020
卷号	13 期号:5
英文摘要	Being reliant on Air Conditioning (AC) throughout the majority of the year, desert countries with extremely hot weather conditions such as Qatar are facing challenges in lowering weariness cost due to AC On-Off switching while maintaining an adequate level of comfort under a wide-range of ambient temperature variations. To address these challenges, this paper investigates an optimal On-Off control strategy to improve the AC utilization process. To overcome complexities of online optimization, a Elman Neural Networks (NN)-based estimator is proposed to estimate real values of the outdoor temperature, and make off-line optimization available. By looking up the optimum values solved from an off-line optimization scheme, the proposed control solutions can adaptively regulate the indoor temperature regardless of outdoor temperature variations. In addition, a cost function of multiple objectives, which consider both Coefficient of Performance (COP), and AC compressor weariness due to On-Off switching, is designed for the optimization target of minimum cost. Unlike conventional On-Off control methodologies, the proposed On-Off control technique can respond adaptively to match large-range (up to 20 degrees C) ambient temperature variations while overcoming the drawbacks of long-time online optimization due to heavy computational load. Finally, the Elman NN based outdoor temperature estimator is validated with an acceptable accuracy and various validations for AC control optimization under Qatar's real outdoor temperature conditions, which include three hot seasons, are conducted and analyzed. The results demonstrate the effectiveness and robustness of the proposed optimal On-Off control solution.
英文关键词	Air-Conditioning On-Off control desert climate optimization Elman Neural Networks
类型	Article
语种	英语
国家	Qatar ; France
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000524318700008
WOS关键词	MODEL-PREDICTIVE CONTROL ; SYSTEMS ; SIMULATION ; QATAR
WOS类目	Energy & Fuels
WOS研究方向	Energy & Fuels
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314392
作者单位	1.Hamad Bin Khalifa Univ, Qatar Environm & Energy Res Inst, Doha 5825, Qatar; 2.Univ Strasbourg, CNRS, ICube Lab, F-67000 Strasbourg, France
推荐引用方式 GB/T 7714	Al-Azba, Mohammed,Cen, Zhaohui,Remond, Yves,et al. An Optimal Air-Conditioner On-Off Control Scheme under Extremely Hot Weather Conditions[J],2020,13(5).
APA	Al-Azba, Mohammed,Cen, Zhaohui,Remond, Yves,&Ahzi, Said.(2020).An Optimal Air-Conditioner On-Off Control Scheme under Extremely Hot Weather Conditions.ENERGIES,13(5).
MLA	Al-Azba, Mohammed,et al."An Optimal Air-Conditioner On-Off Control Scheme under Extremely Hot Weather Conditions".ENERGIES 13.5(2020).