Renewable energy for green environment in the Eastern Province in KSA: Opportunities and sustainability
Samar DERNAYKA, Saidur R. CHOWDHURY, Mohammad Ali KHASAWNEH, Layal JRADI, Tahar AYADAT
Abstract. The kingdom of Saudi Arabia, in pursuit of its Vision 20230 goals for sustainable energy development, is prepping to generate electricity by shifting away from fossil-fuel based energy and adopting sustainable alternatives along with its new investments. The Eastern Province ranked second in highest energy consumption in the kingdom offers great potential for establishing renewable energy-based power plants due to the abundance of sun energy and wind sources. Moreover, the Biomass process can be an optimal solution for maximum extracted rate of energy. The simulation of two power plants of (1000 KW) and (10,000 KW) capacity, driven by four renewable energy sources 1) Photovoltaic 2) Wind Turbine 3) Solar Thermal and 4) Biomass has been evaluated in RetScreen software in terms of energy performance and environmental impact. The results have shown that the Eastern province has a great opportunity to draw the highest rate of electricity from Biomass for small- and large-scale power plants. In terms of sustainable effects, Wind and Solar thermal largely contribute to the reduction of carbon footprint in the area, and Biomass can play a pivotal role in displacing harmful gases, only if carbon releases are effectively controlled during operation.
Keywords
Renewable, Energy, Solar, Wind, Biomass, Geothermal
Published online 2/25/2025, 10 pages
Copyright © 2025 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Samar DERNAYKA, Saidur R. CHOWDHURY, Mohammad Ali KHASAWNEH, Layal JRADI, Tahar AYADAT, Renewable energy for green environment in the Eastern Province in KSA: Opportunities and sustainability, Materials Research Proceedings, Vol. 48, pp 653-662, 2025
DOI: https://doi.org/10.21741/9781644903414-71
The article was published as article 71 of the book Civil and Environmental Engineering for Resilient, Smart and Sustainable Solutions
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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