干旱区生态环境知识资源中心(Arid): The Impact of Occupancy-Driven Models on Cooling Systems in Commercial Buildings

Arid

DOI	10.3390/en14061722
	The Impact of Occupancy-Driven Models on Cooling Systems in Commercial Buildings
	Nazemi, Seyyed Danial; Zaidan, Esmat; Jafari, Mohsen A.
通讯作者	Zaidan, ES (corresponding author), Qatar Univ, Coll Arts & Sci, Dept Int Affairs, Doha 999043, Qatar.
来源期刊	ENERGIES
EISSN	1996-1073
出版年	2021
卷号	14 期号:6
英文摘要	Cooling systems play a key role in maintaining human comfort inside buildings. The key challenges that are facing conventional cooling systems are the rapid growth of total cooling energy and annual electricity consumption in commercial buildings. This is even more significant in countries with an arid climate, where the cooling systems are typically working 80% of the year. Thus, there has been growing interest in developing smart control models to assign optimal cooling setpoints in recent years. In the present work, we propose an occupancy-based control model that is based on a non-linear optimization algorithm to efficiently reduce energy consumption and costs. The model utilizes a Monte-Carlo method to determine the approximate occupancy schedule for building thermal zones. We compare our proposed model to three different strategies, namely: always-on thermostat, schedule-based model, and a rule-based occupancy-driven model. Unlike these three rule-based algorithms, the proposed optimization approach is a white-box model that considers the thermodynamic relationships in the cooling system to find the optimal cooling setpoints. For comparison, different case studies in five cities around the world were investigated. Our findings illustrate that the proposed optimization algorithm is able to noticeably reduce the cooling energy consumption of the buildings. Significantly, in cities that were located in severe hot regions, such as Doha and Phoenix, cooling energy consumption can be reduced by 14.71% and 15.19%, respectively.
英文关键词	smart control occupancy cooling systems energy efficiency non-linear optimization Monte-Carlo simulation
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000634412300001
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/2XILL650/368971
作者单位	[Nazemi, Seyyed Danial; Jafari, Mohsen A.] Rutgers State Univ, Dept Ind & Syst Engn, Piscataway, NJ 08854 USA; [Zaidan, Esmat] Qatar Univ, Coll Arts & Sci, Dept Int Affairs, Doha 999043, Qatar
推荐引用方式 GB/T 7714	Nazemi, Seyyed Danial,Zaidan, Esmat,Jafari, Mohsen A.. The Impact of Occupancy-Driven Models on Cooling Systems in Commercial Buildings[J],2021,14(6).
APA	Nazemi, Seyyed Danial,Zaidan, Esmat,&Jafari, Mohsen A..(2021).The Impact of Occupancy-Driven Models on Cooling Systems in Commercial Buildings.ENERGIES,14(6).
MLA	Nazemi, Seyyed Danial,et al."The Impact of Occupancy-Driven Models on Cooling Systems in Commercial Buildings".ENERGIES 14.6(2021).