Modelling of regional heating and cooling load in the context of carbon neutrality

doi:10.1016/j.jobe.2024.108724

CORC > 力学研究所 > 中国科学院力学研究所 > 高温气体动力学国家重点实验室

	Modelling of regional heating and cooling load in the context of carbon neutrality
	Pan, Lisheng 2; Guo, Yuan 1; Yan, Quanying 1; Shi, Weixiu 1
刊名	JOURNAL OF BUILDING ENGINEERING
	2024-05-15
卷号	85 页码:26
关键词	Regional load Coupling of heating and cooling Degree-day method Characteristics of load
DOI	10.1016/j.jobe.2024.108724
通讯作者	Pan, Lisheng(panlisheng@imech.ac.cn) ; Yan, Quanying(yanquanying@bucea.edu.cn)
英文摘要	A calculation model is established to obtain the nationwide distribution of heating and cooling loads under the 'carbon neutral' target. The model takes the load limits of a region or city as its target and incorporates the energy efficiency standards of buildings and urban planning standards. Meanwhile, the calculation of national heating and cooling load is achieved using the degree-day method and the load inversion method. Research on building loads was conducted using ten cities from five thermal zones across China, including Harbin, Hohhot, Lanzhou, Beijing, Chongqing, Wuhan, Fuzhou, Guangzhou, Kunming, and Guiyang. The study covered the energy consumption characteristics of different types of buildings, those in different thermal zones, and those with simultaneous cooling and heating loads during the same period, such as cold storage facilities, supermarkets, and hotels. Based on the distribution of national heating and cooling loads, research was also briefly analyzed on low-carbon energy supply options. The results showed that the daily, monthly, and annual loads and load index values of various buildings in the same city are mainly affected by the set load limit value. The load proportion of different types of buildings is primarily influenced by their corresponding building areas. Furthermore, the heating and cooling loads in different thermal zones are mainly influenced by the outdoor calculated temperature. It can be noted that Mohe City has the highest heating load due to the lowest calculated outdoor temperature in the heating month. Since Turpan has the highest calculated outdoor temperature in the cooling month, it has the highest cooling load. As a promising energy supply method for buildings in the future, heat pumps could achieve more efficient use when combined with seasonal energy storage.
资助项目	Beijing Natural Science Foundation[3192042] ; National Natural Science Foundation of China[52000008]
WOS关键词	ARTIFICIAL NEURAL-NETWORKS ; ENERGY USE ; PREDICTION ; BUILDINGS ; DEMAND
WOS研究方向	Construction & Building Technology ; Engineering
语种	英语
WOS记录号	WOS:001182548200001
资助机构	Beijing Natural Science Foundation ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://dspace.imech.ac.cn/handle/311007/94920]
专题	力学研究所_高温气体动力学国家重点实验室
通讯作者	Pan, Lisheng; Yan, Quanying
作者单位	1.Beijing Univ Civil Engn & Architecture, Sch Environm & Energy Engn, Beijing 100044, Peoples R China 2.Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Pan, Lisheng,Guo, Yuan,Yan, Quanying,et al. Modelling of regional heating and cooling load in the context of carbon neutrality[J]. JOURNAL OF BUILDING ENGINEERING,2024,85:26.
APA	Pan, Lisheng,Guo, Yuan,Yan, Quanying,&Shi, Weixiu.(2024).Modelling of regional heating and cooling load in the context of carbon neutrality.JOURNAL OF BUILDING ENGINEERING,85,26.
MLA	Pan, Lisheng,et al."Modelling of regional heating and cooling load in the context of carbon neutrality".JOURNAL OF BUILDING ENGINEERING 85(2024):26.