气候变化领域集成服务门户(CCPortal): Strategies to save energy in the context of the energy crisis: a review

CCPortal

DOI	10.1007/s10311-023-01591-5
	Strategies to save energy in the context of the energy crisis: a review
	Farghali, Mohamed; Osman, Ahmed I.; Mohamed, Israa M. A.; Chen, Zhonghao; Chen, Lin; Ihara, Ikko; Yap, Pow-Seng; Rooney, David W.
发表日期	2023
ISSN	1610-3653
EISSN	1610-3661
起始页码	2003
结束页码	2039
卷号	21 期号:4
英文摘要	New technologies, systems, societal organization and policies for energy saving are urgently needed in the context of accelerated climate change, the Ukraine conflict and the past coronavirus disease 2019 pandemic. For instance, concerns about market and policy responses that could lead to new lock-ins, such as investing in liquefied natural gas infrastructure and using all available fossil fuels to compensate for Russian gas supply cuts, may hinder decarbonization efforts. Here we review energy-saving solutions with a focus on the actual energy crisis, green alternatives to fossil fuel heating, energy saving in buildings and transportation, artificial intelligence for sustainable energy, and implications for the environment and society. Green alternatives include biomass boilers and stoves, hybrid heat pumps, geothermal heating, solar thermal systems, solar photovoltaics systems into electric boilers, compressed natural gas and hydrogen. We also detail case studies in Germany which is planning a 100% renewable energy switch by 2050 and developing the storage of compressed air in China, with emphasis on technical and economic aspects. The global energy consumption in 2020 was 30.01% for the industry, 26.18% for transport, and 22.08% for residential sectors. 10-40% of energy consumption can be reduced using renewable energy sources, passive design strategies, smart grid analytics, energy-efficient building systems, and intelligent energy monitoring. Electric vehicles offer the highest cost-per-kilometer reduction of 75% and the lowest energy loss of 33%, yet battery-related issues, cost, and weight are challenging. 5-30% of energy can be saved using automated and networked vehicles. Artificial intelligence shows a huge potential in energy saving by improving weather forecasting and machine maintenance and enabling connectivity across homes, workplaces, and transportation. For instance, 18.97-42.60% of energy consumption can be reduced in buildings through deep neural networking. In the electricity sector, artificial intelligence can automate power generation, distribution, and transmission operations, balance the grid without human intervention, enable lightning-speed trading and arbitrage decisions at scale, and eliminate the need for manual adjustments by end-users.
英文关键词	Energy saving; Energy crisis; Green energy alternative; Artificial intelligence; Electric vehicles; Renewable energy
语种	英语
WOS研究方向	Chemistry, Multidisciplinary ; Engineering, Environmental ; Environmental Sciences
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000955740600001
来源期刊	ENVIRONMENTAL CHEMISTRY LETTERS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/281594
作者单位	Kobe University; Egyptian Knowledge Bank (EKB); Assiut University; Queens University Belfast; Xi'an Jiaotong-Liverpool University; Chongqing University; Chongqing University
推荐引用方式 GB/T 7714	Farghali, Mohamed,Osman, Ahmed I.,Mohamed, Israa M. A.,et al. Strategies to save energy in the context of the energy crisis: a review[J],2023,21(4).
APA	Farghali, Mohamed.,Osman, Ahmed I..,Mohamed, Israa M. A..,Chen, Zhonghao.,Chen, Lin.,...&Rooney, David W..(2023).Strategies to save energy in the context of the energy crisis: a review.ENVIRONMENTAL CHEMISTRY LETTERS,21(4).
MLA	Farghali, Mohamed,et al."Strategies to save energy in the context of the energy crisis: a review".ENVIRONMENTAL CHEMISTRY LETTERS 21.4(2023).