Impact of renewable energy utilization and artificial intelligence in achieving sustainable development goals

被引:72
|
作者
Hannan, M. A. [1 ]
Al-Shetwi, Ali Q. [2 ,3 ]
Ker, Pin Jern [1 ,4 ]
Begum, R. A. [5 ]
Mansor, M. [1 ]
Rahman, S. A. [1 ]
Dong, Z. Y. [6 ]
Tiong, S. K. [4 ]
Mahlia, T. M. Indra [7 ]
Muttaqi, K. M. [8 ]
机构
[1] Univ Tenaga Nas, Dept Elect Power Engn, COE, Kajang 43000, Malaysia
[2] Fahad Bin Sultan Univ, Elect Engn Dept, Tabuk 71454, Saudi Arabia
[3] Fahad Bin Sultan Univ, Dept Renewable Energy Engn, Tabuk 71454, Saudi Arabia
[4] Univ Tenaga Nas, Inst Sustainable Energy, Kajang 43000, Malaysia
[5] Univ Kebangsaan Malaysia, Inst Climate Change, Bangi 43600, Malaysia
[6] UNSW, Sch Elect Engn & Telecommun, Kensington, NSW 2033, Australia
[7] Univ Technol Sydney, Sch Informat Syst & Modelling, Ultimo, NSW 2007, Australia
[8] Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW 2522, Australia
关键词
Renewable energy; Energy utilization; Impact analysis; Elicited expert; Artificial intelligence; Sustainable development goals; MUNICIPAL SOLID-WASTE; ENVIRONMENTAL-IMPACT; CO2; EMISSIONS; POWER-SECTOR; WIND ENERGY; FEASIBILITY ANALYSIS; CLIMATE-CHANGE; AIR-POLLUTION; SOLAR-ENERGY; RURAL-AREAS;
D O I
10.1016/j.egyr.2021.08.172
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Many countries around the world are planning to reach 100% renewable energy use by 2050. In this context and due to the recent sharp increase in RE utilization in the global energy mix along with its progressive impact on the world energy sector, the evaluation and investigation of its effect on achieving sustainable development goals are not covered sufficiently. Moreover, an assessment of the emerging role of artificial intelligence for renewable energy utilization toward achieving SDGs is conducted. A total of 17 SDGs were divided into three groups, namely, environment, society, and economy, as per the three key pillars of sustainable development. Renewable energy has a positive impact toward achieving 75 targets across all sustainable development goals by using an expert elicitation method-based consensus. However, it may negatively affect the accomplishment of the 27 targets. In addition, artificial intelligence can help renewable energy enable the attainment of 42 out of 169 targets. However, with the current exponential growth of renewable energy share and artificial intelligence development and addressing certain present limitations, this impact may cover additional targets in the future. Nevertheless, recent research foci overlook essential aspects. The exponential growth of renewable energy share and rapid evolution of artificial intelligence need to be accompanied through the requisite regulatory insight and technology regulation to cover additional targets in the future. (C) 2021 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:5359 / 5373
页数:15
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