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

M.A. Hannan; Ali Q Al-Shetwi; Pin Jern Ker; R.A. Begum; M. Mansor; S.A. Rahman; Z.Y. Dong; S.K. Tiong; T.M. Indra Mahlia; K.M. Muttaqi

Energy Reports (Nov 2021)

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

M.A. Hannan,
Ali Q Al-Shetwi,
Pin Jern Ker,
R.A. Begum,
M. Mansor,
S.A. Rahman,
Z.Y. Dong,
S.K. Tiong,
T.M. Indra Mahlia,
K.M. Muttaqi

Affiliations

M.A. Hannan: Department of Electrical Power Engineering, COE, Universiti Tenaga Nasional, Kajang 43000, Malaysia; Corresponding author.
Ali Q Al-Shetwi: Electrical Engineering Department, Fahad Bin Sultan University, Tabuk 71454, Saudi Arabia; Department of Renewable Energy Engineering, Fahad Bin Sultan University, Tabuk 71454, Saudi Arabia; Corresponding author at: Electrical Engineering Department, Fahad Bin Sultan University, Tabuk 71454, Saudi Arabia.
Pin Jern Ker: Department of Electrical Power Engineering, COE, Universiti Tenaga Nasional, Kajang 43000, Malaysia; Institute of Sustainable Energy, Universiti Tenaga Nasional, Kajang 43000, Malaysia
R.A. Begum: Institute of Climate Change, Universiti Kebangsaan, MalaysiaBangi 43600, Malaysia
M. Mansor: Department of Electrical Power Engineering, COE, Universiti Tenaga Nasional, Kajang 43000, Malaysia
S.A. Rahman: Department of Electrical Power Engineering, COE, Universiti Tenaga Nasional, Kajang 43000, Malaysia
Z.Y. Dong: School of Electrical Engineering and Telecommunications, UNSW, Kensington NSW 2033, Australia
S.K. Tiong: Institute of Sustainable Energy, Universiti Tenaga Nasional, Kajang 43000, Malaysia
T.M. Indra Mahlia: School of Information, Systems and Modelling, University of Technology Sydney, Ultimo NSW 2007, Australia
K.M. Muttaqi: School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, NSW 2522, Australia

Journal volume & issue: Vol. 7
pp. 5359 – 5373

Abstract

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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.

Published in Energy Reports

ISSN: 2352-4847 (Online)
Publisher: Elsevier
Country of publisher: United Kingdom
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: http://www.journals.elsevier.com/energy-reports/

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