Abstract
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.
Highlights
Issues concerning the utilization and supply of energy are related to global warming and to environmental challenges, such as air pollution, forest destruction, ozone depletion, acid precipitation, greenhouse gases (GHGs), water and land use, wildlife loss, and radioactive emissions 1
The current energy supply has an impact on the economic and social sectors, thereby causing a range of pressing socio-economic challenges[2]. These challenges need to be addressed together if humanity wants to reach a promising and brighter energy future with reduced environmental, economic, and social impacts. For this purpose and to overcome the well-known negative effects of conventional energy plants on sustainability development, the world turned to use these resources within some limit and turned the thinking toward renewable energy (RE) sources (i.e., wind, solar photovoltaic (PV), hydropower, geothermal, and biomass)[3]
The artificial intelligence (AI) has an important role in the dramatic increase in RE utilization and contribution to the energy mix, as well as the potential to revolutionize the RE sector[8,9]
Summary
Issues concerning the utilization and supply of energy are related to global warming and to environmental challenges, such as air pollution, forest destruction, ozone depletion, acid precipitation, greenhouse gases (GHGs), water and land use, wildlife loss, and radioactive emissions 1. The current energy supply has an impact on the economic and social sectors, thereby causing a range of pressing socio-economic challenges[2] These challenges need to be addressed together if humanity wants to reach a promising and brighter energy future with reduced environmental, economic, and social impacts. It must be filled because we detect that the RE utilization could affect the capacity to achieve the 169 targets of SDGs. this study presents, discusses, and explores how RE can either affect the achievement of all 169 targets within the 17 goals which defined in the sustainable development agenda 2030 positively or negatively.
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