气候变化领域集成服务门户(CCPortal): SHAPE: A temporal optimization model for residential buildings retrofit to discuss policy objectives

CCPortal

DOI	10.1016/j.apenergy.2024.122936
	SHAPE: A temporal optimization model for residential buildings retrofit to discuss policy objectives
	Martin, Rit; Arthur, Thomas; Jonathan, Villot; Mathieu, Thorel; Enora, Garreau; Robin, Girard
发表日期	2024
ISSN	0306-2619
EISSN	1872-9118
起始页码	361
卷号	361
英文摘要	In a context of massive renovation of residential buildings, stakeholders need decision -support models based on knowledge of the current building stock and accurate simulation of energy demand. This paper presents a new strategy for reducing energy consumption in the building sector, a key factor in combating climate change and promoting sustainability. We introduce an approach to (1) plan retrofits at community level, with a building resolution, for different years of an optimization period and (2) assist local authorities in selecting effective measures to improve the environmental performance of their building stock. The focus is on creating trajectory retrofit plans creation for a building stock with three main retrofit options: improving insulation, heating systems and hot water systems. We adapt a complex but linear approach, a type of problem -solving structure known as a multidimensional multiple-choice knapsack problem, which manages to handle a large number of possible retrofit combinations without becoming unwieldy. The planning process is streamlined as a single -objective optimization task that aims to reduce the total cost of retrofits by reducing their net present value. The efficiency of the model is demonstrated by simulating retrofit scenarios for 4,000 buildings in a French region to prove its ability to tackle large problems. France's targets for decarbonizing the residential sector are taken into account, with a target of reducing GHG emissions by a factor of 10 and a building stock consuming 80kWhEP/m2/year. The results show that these plans are feasible, but that they will require 50% of all buildings to undergo major renovation with abatement costs of around e200/tGES. Our practical application to an actual community demonstrates the model's ability to identify appropriate retrofitting measures and compile building data.
英文关键词	Energy savings Mixed Integer Linear; Programming; Knapsack problem; Cost optimization; Linear model; Territorial scale
语种	英语
WOS研究方向	Energy & Fuels ; Engineering
WOS类目	Energy & Fuels ; Engineering, Chemical
WOS记录号	WOS:001221497000001
来源期刊	APPLIED ENERGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/303567
作者单位	Universite PSL; MINES ParisTech; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute of Ecology & Environment (INEE); IMT - Institut Mines-Telecom; Mines Saint-Etienne; Institut National des Sciences Appliquees de Lyon - INSA Lyon; Universite Jean Moulin Lyon 3; Ecole Normale Superieure de Lyon (ENS de LYON)
推荐引用方式 GB/T 7714	Martin, Rit,Arthur, Thomas,Jonathan, Villot,et al. SHAPE: A temporal optimization model for residential buildings retrofit to discuss policy objectives[J],2024,361.
APA	Martin, Rit,Arthur, Thomas,Jonathan, Villot,Mathieu, Thorel,Enora, Garreau,&Robin, Girard.(2024).SHAPE: A temporal optimization model for residential buildings retrofit to discuss policy objectives.APPLIED ENERGY,361.
MLA	Martin, Rit,et al."SHAPE: A temporal optimization model for residential buildings retrofit to discuss policy objectives".APPLIED ENERGY 361(2024).