Modelling of regional heating and cooling load in the context of carbon neutrality
文献类型：期刊论文
| 作者 | Pan LS(潘利生)2 ; Guo, Yuan1; Yan, Quanying1; Shi, Weixiu1
|
| 刊名 | JOURNAL OF BUILDING ENGINEERING
 |
| 出版日期 | 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. |
| 分类号 | 一类 |
| WOS关键词 | ARTIFICIAL NEURAL-NETWORKS ; ENERGY USE ; PREDICTION ; BUILDINGS ; DEMAND |
| 资助项目 | Beijing Natural Science Foundation[3192042] ; National Natural Science Foundation of China[52000008] |
| 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 |
| 其他责任者 | Pan, Lisheng ; Yan, Quanying |
| 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 |
| 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 LS,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 | 潘利生,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 | 潘利生,et al."Modelling of regional heating and cooling load in the context of carbon neutrality".JOURNAL OF BUILDING ENGINEERING 85(2024):26. |
入库方式： OAI收割
来源：力学研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。