Gondwana Research, Journal Year: 2023, Volume and Issue: 121, P. 486 - 498
Published: June 7, 2023
Language: Английский
Gondwana Research, Journal Year: 2023, Volume and Issue: 121, P. 486 - 498
Published: June 7, 2023
Language: Английский
Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101785 - 101785
Published: Jan. 15, 2024
Solar and wind energy sources hold significant potential to meet the escalating demand in Saudi Arabia sustainably. This research aims assess feasibility prospects of deploying solar photovoltaic (PV) systems (SA). The study adopts a comprehensive approach, encompassing spatial analysis land suitability, techno-economic studies, prediction renewable (RE) resource variability trends using machine learning techniques. Geographical Information System (GIS) is employed identify suitable areas for establishing PV farms based on multi-criteria evaluation methods. Techno-socioeconomic systems, under various configurations scenarios, conducted Advisor Model (SAM) tool. Furthermore, Support Vector Machine (SVM) algorithm developed deployed forecast Global Horizontal Irradiation (GHI), speed, influential weather parameters at different locations SA. projections these variables derived from global climate models are utilized analyze variabilities. suitability identified four optimal large-scale fields Tabuk, Al Madinah, Makkah, Riyadh provinces. Additionally, promising were found Riyadh, Eastern also one location Jouf province hybrid combining energy. assessment revealed that performed best overall, achieving capacity factor 42.6 % Madinah province. Although current tariffs render projects economically unviable, PV, energy, PV-wind technologies feasible SA Power Purchase Agreement (PPA) rates above $32.8/MWh, $26.1/MWh, $50.6/MWh, respectively. social development estimated job creation deployment scenarios 2020 2060, indicating more ambitious targets could translate millions jobs. SVM model predicted irradiance with an R-squared value 0.893. CMIP6 was then used project GHI 2049, suggesting increase approximately 19 %. Wind speed expected rise roughly 5 over same period. integration GIS analysis, modeling, learning-based forecasting provides insights into harnessing facilitates evidence-based planning risk assessment, crucial sustainable transition. roadmap this can inform policy frameworks, support United Nations Sustainable Development Goals (UNSDGs), attract private investments RE Consequently, establishes as viable solutions meeting SA's growing demands sustainably, while minimizing associated environmental impact.
Language: Английский
Citations
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Published: Feb. 1, 2025
Language: Английский
Citations
2Renewable Energy, Journal Year: 2023, Volume and Issue: 219, P. 119377 - 119377
Published: Sept. 28, 2023
Language: Английский
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Published: Sept. 19, 2023
Language: Английский
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Published: Dec. 23, 2023
Language: Английский
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Published: Oct. 26, 2023
Language: Английский
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Published: April 17, 2024
Language: Английский
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Published: Feb. 16, 2024
Language: Английский
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Published: Jan. 1, 2025
Language: Английский
Citations
1Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135416 - 135416
Published: March 1, 2025
Language: Английский
Citations
1