A GIS-based Fuzzy-AHP method for the evaluation of solar farms locations: Case study in Khuzestan province, Iran

Asakereh, Abbas; Soleymani, Mohsen; Sheikhdavoodi, Mohammad Javad

doi:10.1016/j.solener.2017.05.075

Cited by 161 publications

(82 citation statements)

References 48 publications

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“…We developed a multi-criteria GIS model (Asakereh et al 2017;Castillo et al 2016;Brewer et al 2015;Watson and Hudson 2015) to produce the suitability data through two steps. First, we evaluated most factors as a heterogeneous layer in terms of least-to-most suitable for solar infrastructure and coded along a corresponding number scale (1 = least suitable, 5 = most suitable).…”

Section: Methodsmentioning

confidence: 99%

Deep decarbonization and renewable energy in the Appalachian Mountains (DDREAM): a socio-ecological systems approach to evaluating ecological governance

Mainzer

Cole

Flohr

2019

Socio Ecol Pract Res

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Through the lens of ecologically based planning and design decisions for a renewable energy infrastructure, our project investigates a pilot method that assesses ecological, geographic, and sociopolitical opportunities and constraints. This method couples an application of the University of Pennsylvania Suitability Analysis Method, more commonly known as the McHarg Method, and a statistical analysis of the Appalachian Mountain Region of Pennsylvania in the United States. Despite the region's high-quality natural resources, persistent reliance on coal industries has resulted in disadvantaged socioeconomic distress and risk. By unraveling linkages between socio-ecological systems and governance actions, the results of our pilot described challenges for the Appalachian Mountain Region in transitioning to a renewable energy infrastructure, while also formulating the basis for county-level strategies that may encourage the pro-environmental governance necessary to promote renewable energy initiatives. We find that Appalachian counties' relatively low levels of infrastructure density, solar irradiation, population growth, limited access to education centers, and high-quality forests present challenges to allocating suitable areas for solar infrastructure. However, clusters of moderately suitable areas are identifiable throughout the region. Yet such opportunities may struggle to support solar energy initiatives as the region suffers from limited pro-environmental governance, particularly in areas with low-density infrastructure and historically higher levels of dependence on natural resource industries. Above all, our findings identify that the relationship between socio-ecological conditions and pro-environmental governance is complex and often in conflict in key areas of the region.

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Section: Methodsmentioning

confidence: 99%

Deep decarbonization and renewable energy in the Appalachian Mountains (DDREAM): a socio-ecological systems approach to evaluating ecological governance

Mainzer

Cole

Flohr

2019

Socio Ecol Pract Res

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“…In finding the potential sites for solar power plant, site selection is depending on the weights of each layer. Opinions of experts were used to determine each site selection criterion for locating solar PV [10,11,16]. Solar Irradiance, roads, town, soil, slope, land use, land cover, forest, stream and schools were used to create a model to identify suitable locations for solar PV as per nature of the study area (Table 2).…”

Section: Selecting Criteria For Solar Photovoltaic Installationmentioning

confidence: 99%

Site suitability analysis of Solar PV Power generation in South Gonder, Amhara Region

Nebey

Zemene

Gera

2020

Preprint

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Currently, Ethiopian government looked towards renewable energy resources to generate electrical power for the country needs. 85% of the total population of the country live in rural areas and use wood and fossil fuel for their domestic uses. Using wood and fossil fuel is danger for users and the environment. And the government of Ethiopia planned to electrify 85% rural community with abundantly available renewable resources around the community. Therefore, identifying potential locations for solar Photovoltaic with geographic information system is a decision support tool for proposing the suitable sites to stakeholder. The solar Photovoltaic suitability analysis provides optimal locations to solar Photovoltaic power plant installations. To find suitable locations for Solar Photovoltaic , factors that affect the suitability were identified and weighted by using Analytical Hierarchy processes. Then the weighted values and reclassified values were multiplied together to produce the final suitability map to solar Photovoltaic. Due to site unsuitability, solar Photovoltaic the efficiency drops and may malfunction. By identifying the most suitable locations, solar PV power plant was optimally located. Therefore, the objective of this study was to find the most suitable sites in South Gonder Zone for generating power from solar Photovoltaic . The suitability of the study area for solar Photovoltaic power plant was 86.5%. Eighty six (86%) of the criteria considered in the study area was found to fulfill all the criteria to be suitable for solar Photovoltaic power plant. Most of the suitable areas were found in the western part of the zone. Nature topography is a key factor in generating solar energy; it affects the solar irradiance coming to the solar Photovoltaic panel surface.

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“…Energy is the center of almost every real challenge confronting the present world according to the United Nations Development Program (UNDP), which becomes effective in January 2016, as a major aspect of the 17 Sustainable Development Goals (SDGs) to be accomplished by 2030 (Gielen et al, 2019). Many studies highlighted the importance of energy such as (Asakereh et al, 2017) and (Singh et al, 2002) as a key feature for economic growth and social development. Energy also plays a major role allowing access to competitive and sustainable resources (Le and Nguyen, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…The worldwide economy depends mainly on fossil energy bearers, such as, coal, oil, and petroleum gas (Mostafaeipour et al, 2011;Noor et al, 2018;Liu et al, 2019). Despite the fact that the common reservations of petroleum products are constrained (Asakereh et al, 2017) and it is presumed to be exhausted during the following century if their utilization is proceeded by the present degree (Uyan, 2013). Additionally, the endless utilization of non-renewable energy source is, therefore, harming the world's environment (Ã, 2006;Shao and Chu, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…During the last ten years, numerous research has been carried out in the field of solar energy. The researches were mainly focused on site selection and available energy potential at those sites (Arán Carrión et al, 2008;Charabi and Gastli, 2011;Asakereh et al, 2014Asakereh et al, , 2017Al Garni and Awasthi, 2017;Azmi et al, 2017;Hafeznia et al, 2017;Alami Merrouni et al, 2018b;Giamalaki and Tsoutsos, 2019;Yang et al, 2019), and Geographic Information Systems (GIS) has a significant role in carrying out those researches, therefore, consistently been used to select different sites for solar energy plantation (Arnette and Zobel, 2011). Moreover, GIS in conjunction with Multi-Criteria Decision Analysis (MCDA) methods is used to evaluate spatial criteria qualitatively and quantitatively.…”

Section: Introductionmentioning

confidence: 99%

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Pv Power Plants Sites Selection Using Gis-Fahp Based Approach in North-Western Morocco

Sedrati

Maanan

Rhinane

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Energy plays a crucial role in the economy of any country. One of the most recent trends in global development is the transition to "green” growth. Morocco is keeping pace with its growth by promising to increase renewable energy capacity to 42% of total installed capacity by 2020 and to 52% by 2030. This study develops a framework that aims to determine the optimal areas for deploying photovoltaic (PV) installation in two stages. The first stage aims at excluding the undesirable areas such as forests, rivers and agricultural land. The second stage consists in defining the suitability of sites based on seven criteria; solar irradiation, land surface temperature, slopes, slope orientation, distance from power lines, distance from main roads, distance of urban area. In this study we are using fuzzy logic and fuzzy membership functions in order to create criteria layers in the environment of Geographic Information System (GIS) that allowing the integration of a Multi-Criterion Decision Analysis (MCDA) to identify the best sites to deploy PV solar power plants in north-western Morocco. Also, the Analytic Hierarchy Process (AHP) technique is used to determine weights for each one of the criteria. Results obtained from the spatial approach shows that the major portion of the studied area was judged inappropriate for solar farms installations. Also, it shows that only 5.11% (8500 Ha) of the territory demonstrate high suitability for PV solar installations located in the southern part of our studied area with a potential of electricity generation, from the areas with high suitability level, assuming a PV system efficiency of 6.48%; equivalent to 5.39 Twh/year with an installed capacity of 4.02 GW and an annual carbon emission reduction of 3 697.54 Kt-CO2/year. The resulting suitability map can be used as a decision support tool to help the public policy makers to integrate green energy into their policies.

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A GIS-based Fuzzy-AHP method for the evaluation of solar farms locations: Case study in Khuzestan province, Iran

Cited by 161 publications

References 48 publications

Deep decarbonization and renewable energy in the Appalachian Mountains (DDREAM): a socio-ecological systems approach to evaluating ecological governance

Deep decarbonization and renewable energy in the Appalachian Mountains (DDREAM): a socio-ecological systems approach to evaluating ecological governance

Site suitability analysis of Solar PV Power generation in South Gonder, Amhara Region

Pv Power Plants Sites Selection Using Gis-Fahp Based Approach in North-Western Morocco

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