气候变化领域集成服务门户(CCPortal): Coordinated optimization design of buildings and regional integrated energy systems based on load prediction in future climate conditions

CCPortal

DOI	10.1016/j.applthermaleng.2024.122338
	Coordinated optimization design of buildings and regional integrated energy systems based on load prediction in future climate conditions
	Ran, Jingyu; Qiu, Yubin; Liu, Jizhou; Zhu, Xiangyuan; Liu, Jiying; Tian, Zhe
发表日期	2024
ISSN	1359-4311
EISSN	1873-5606
起始页码	241
卷号	241
英文摘要	The influence of global warming on building performance necessitates its consideration during the design phase. The conventional approach of separately designing the buildings and energy systems may not yield the globally optimal solution. To address this issue, this study proposes a coordinated optimization design approach for buildings and regional integrated energy systems (RIES) under future climate conditions. Firstly, a future regional load prediction model based on a Random Forest algorithm optimized by the Grey Wolf Optimizer is established. Next, a bi-level optimization model is proposed, with the upper level optimizing the building envelope to minimize costs and carbon emissions, and the lower level determining the optimal configuration capacity and operating strategy of RIES for cost minimization. Multi-objective grey wolf optimizer and CPLXE are employed to address the problem. Finally, the proposed method is validated using a case study of an office area in Jinan. The results show that the method can reduce costs by 14.6 % and carbon emissions by 50.93 % compared to the prototype building area with independent production systems, highlighting the potential of synergistic design between buildings and RIES. In addition, different optimization results were obtained under typical meteorological year, shared socioeconomic pathway (SSP) 245, and SSP585 climate scenarios, indicating the impact of future climate on building and RIES design. Therefore, it is necessary to consider climate change in future design work.
英文关键词	Future climate; Bi-level optimization; Building optimization; Regional integrated energy system; Regional load prediction
语种	英语
WOS研究方向	Thermodynamics ; Energy & Fuels ; Engineering ; Mechanics
WOS类目	Thermodynamics ; Energy & Fuels ; Engineering, Mechanical ; Mechanics
WOS记录号	WOS:001155967000001
来源期刊	APPLIED THERMAL ENGINEERING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/298166
作者单位	Shandong Jianzhu University; Tianjin University; Tianjin University
推荐引用方式 GB/T 7714	Ran, Jingyu,Qiu, Yubin,Liu, Jizhou,et al. Coordinated optimization design of buildings and regional integrated energy systems based on load prediction in future climate conditions[J],2024,241.
APA	Ran, Jingyu,Qiu, Yubin,Liu, Jizhou,Zhu, Xiangyuan,Liu, Jiying,&Tian, Zhe.(2024).Coordinated optimization design of buildings and regional integrated energy systems based on load prediction in future climate conditions.APPLIED THERMAL ENGINEERING,241.
MLA	Ran, Jingyu,et al."Coordinated optimization design of buildings and regional integrated energy systems based on load prediction in future climate conditions".APPLIED THERMAL ENGINEERING 241(2024).