Статья

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

M. A. HannanDepartment of Electrical Power Engineering, COE, Universiti Tenaga Nasional, Kajang 43000, MalaysiaAli Q. Al‐ShetwiDepartment of Renewable Energy Engineering, Fahad Bin Sultan University, Tabuk 71454, Saudi ArabiaPin Jern KerDepartment of Electrical Power Engineering, COE, Universiti Tenaga Nasional, Kajang 43000, MalaysiaRawshan Ara BegumInstitute of Climate Change, Universiti Kebangsaan, MalaysiaBangi 43600, MalaysiaMuhamad MansorDepartment of Electrical Power Engineering, COE, Universiti Tenaga Nasional, Kajang 43000, MalaysiaM. S. Abd RahmanDepartment of Electrical Power Engineering, COE, Universiti Tenaga Nasional, Kajang 43000, MalaysiaZhao Yang DongSchool of Electrical Engineering and Telecommunications, UNSW, Kensington NSW 2033, AustraliaTiong Sieh KiongInstitute of Sustainable Energy, Universiti Tenaga Nasional, Kajang 43000, MalaysiaT.M.I. MahliaSchool of Information, Systems and Modelling, University of Technology Sydney, Ultimo NSW 2007, AustraliaKashem M. MuttaqiSchool of Electrical, Computer and Telecommunications Engineering, University of Wollongong, NSW 2522, Australia

2021en

ABI

Аннотация

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.

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Идентификаторы

DOI: 10.1016/j.egyr.2021.08.172

Цитирования и источники

Цитирований: 4Использованных источников: 0

Показатели — AkademScholar