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Demand for renewable energy sources is increasing since traditional energy sources (i.e., coal, oil, and natural gas) have limited reserves and cause high greenhouse gas emission. Suitable site selection for new generation renewable resources is vital in large-scale projects. In this paper, suitable sites for solar photovoltaic (PV) power plants we...
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... Besides, the adoption of more layers, e.g., distance from cities, temperature, and distance from the power lines, is essential to test their effects on improving the spatial distribution of suitability maps. In addition, comparisons between the adopted MCA technique and other methods, e.g., ELimination Et Choice Translating REality (ELECTRE), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to derive effective weights for the overlay analysis should be studied, as reported elsewhere (Akif Günen, 2021). Future research should also deal with how to reduce the high capital cost of PV systems. ...
While several articles have focused on determining a suitability map for groundwater exploitation by assigning weights to different thematic layers, this technique suffers from a lack of worldwide application because it focuses on the features of a specific region (terrain features, vegetation, and climate) during the investigation. To overcome this drawback, we expanded the evaluation method of groundwater exploitation by integrating the region characteristics and topography with the three pillars of sustainability outlined by the SDGs agenda. Seven thematic layers, reflecting the economic and technical characteristics of El-Saloum depression, Egypt, were prepared to develop a solar energy-based groundwater suitability map. It was depicted that about 11.5%, 29.3%, and 44.0% of the total depression were classified into “Most’, “Moderate”, and “Marginal” suitable locations, respectively. Based on the sensitivity analysis, the southeastern zone of the depression emerged as the most suitable site for solar-groundwater utilization due to its low salinity (<5000 ppm), reasonable groundwater depths (less than 50 m), and land availability (undeveloped regions). Substituting a diesel power system (DPS) with a photovoltaic system (PVS) in groundwater pumping and/or reverse osmosis (RO) desalination would reduce 1.2 kg CO2/kWh and maintain a payback period of 6.4 years with a cost of energy (COE) of ∼0.25 US$/kWh. Applying PVS for groundwater management could fulfill about 25.0%, 37.5%, 40.0%, and 20.0% of sustainable development goals (SDGs) 2 “Zero hunger”, 6 “Clean water and sanitation”, 7 “Affordable and clean energy”, 13 “Climate action”. The achievement of these SDGs was equivalent to 22.7%, 15.4%, and 13.2% of the environmental, economic, and social pillars of sustainability, respectively. Consequently, the study's findings are crucial for stakeholders and policymakers involved in the sustainable management of groundwater resources within the SDGs umbrella.
Tamil Nadu is the eleventh largest state by area and it constitutes 9% of the total installed electricity generation capacity of India which is largely from fossil fuels such as coal and natural gas. Due to the present industrial growth scenario, this amount of electricity generation is not enough so the Government of Tamilnadu has agreed to the Tamil Nadu solar energy strategy in 2012 to meet the electricity needs. The objective of this research study is to categorize the best suitable sites for a solar photovoltaic farm with the aim of minimum cost and maximum output. In this paper, Remote sensing, GIS technologies, and multi-criteria decision analysis (MCDA) are implemented in the energy sector for solar PV siting suitability. Site selection is based on various environmental, technical, and topographical criteria by using weighted overlay multi-criteria analysis. The investigations done in this research are peculiar as the weighted values of the criteria include geopolitical and financial incentives appropriate to the state’s social dynamics. The high potential solar irradiation, distance from a road, hill shade and slope, and land use and land cover are considered as the significant factors in identifying the high suitable location for the photovoltaic power plants. The research region covers 55,160 km2 and is centered on sixteen districts in southern Tamil Nadu. The annual Global Horizontal Irradiation (GHI) interpolated map derived from NREL data, as well as other thematic maps acquired from Indian government agency websites, are crucial in this study. Among the 16 districts, 12.096 km2 (0.024%) of fully exploited highly suitable area can meet the power demand of Tamil Nadu. Also, considering the moderately suitable area the state is still be potential to generate around 50 GW of electricity as an average. Investigations also suggest that the concentrator technology has tremendous potential of 16.442 GWh/day to meet the electricity power demands as the state is industrialized day by day.
