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Rural electrification in protected areas: A spatial assessment of solar photovoltaic suitability using the fuzzy best worst method

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  • Minaei, Foad
  • Minaei, Masoud
  • Kougias, Ioannis
  • Shafizadeh-Moghadam, Hossein
  • Hosseini, Seyed Ali

Abstract

The need for energy in rural and remote areas is increasing, and it is exacerbated in developing countries. The wellbeing of communities and citizens depends on access to clean electricity to improve quality of life. An uninterrupted supply of electricity is one of the sustainable development goals (SDGs) that has highlighted the needs and challenges in remote areas. The complexity of designing strategies and solutions is further augmented for villages located in protected areas, national parks, and wildlife refuges, the conservation of which is fundamental to achieving climate, environmental, and ecologic objectives. Fossil fuel-based electricity generation and large-scale transmission networks pose a potential threat to the achievement of SDGs in such areas. This research investigated the use of solar photovoltaic (PV) technology as a renewable energy source (RES) that can cover energy needs of rural areas in a continuous, secure, and sustainable manner. In this study, the feasibility of using solar energy to electrify remote settlements located in protected areas of Iran (Khorasan-e-Razavi) was evaluated using a multi-criteria, GIS-based methodology. A set of criteria was selected to evaluate the suitability of solar PV, including solar irradiance and duration, aspect, temperature, precipitation, and humidity as well as proximity to faults, roads, and rivers. Using the best worth method (BWM), the relative weight of the selected criteria was calculated. The results showed that almost 2% of the region's area is very highly suitable and another 23.5% is highly suitable. This 25% represents an area of 1500 km2 and includes 63 villages. Evaluation of census data showed that available building areas can cover the villages' residential demand using rooftop PV systems. Nonetheless, local and national government support is necessary to develop an effective strategy that results in successful implementation.

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  • Minaei, Foad & Minaei, Masoud & Kougias, Ioannis & Shafizadeh-Moghadam, Hossein & Hosseini, Seyed Ali, 2021. "Rural electrification in protected areas: A spatial assessment of solar photovoltaic suitability using the fuzzy best worst method," Renewable Energy, Elsevier, vol. 176(C), pages 334-345.
    • Handle: RePEc:eee:renene:v:176:y:2021:i:c:p:334-345
    DOI: 10.1016/j.renene.2021.05.087
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    2. Govindan, Kannan, 2023. "How digitalization transforms the traditional circular economy to a smart circular economy for achieving SDGs and net zero," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    3. José Eduardo Tafula & Constantino Dário Justo & Pedro Moura & Jérôme Mendes & Ana Soares, 2023. "Multicriteria Decision-Making Approach for Optimum Site Selection for Off-Grid Solar Photovoltaic Microgrids in Mozambique," Energies, MDPI, vol. 16(6), pages 1-41, March.
    4. Zheng Yuan & Baohua Wen & Cheng He & Jin Zhou & Zhonghua Zhou & Feng Xu, 2022. "Application of Multi-Criteria Decision-Making Analysis to Rural Spatial Sustainability Evaluation: A Systematic Review," IJERPH, MDPI, vol. 19(11), pages 1-31, May.
    5. Ertunç, Ela & Uyan, Mevlut, 2022. "Land valuation with Best Worst Method in land consolidation projects," Land Use Policy, Elsevier, vol. 122(C).

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