A suitability mapping for the PV solar farms in Egypt based on GIS-AHP to optimize multi-criteria feasibility

Elboshy, Bahaa; Alwetaishi, Mamdooh; Aly, Reda M. H.; Zalhaf, Amr S.

doi:10.1016/j.asej.2021.10.013

Cited by 88 publications

(40 citation statements)

References 30 publications

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“…This approach aids in determining the best alternative that satisfies multiple conflicting criteria to the highest degree possible, while effectively managing large volumes of data and information based on expert insights (Al Garni et al, 2016; Elkadeem et al, 2021). In recent years, the application of MCDM has become increasingly prevalent in assessing the potential for resource exploitation and selecting suitable sites for renewable energy systems (Effat and El-Zeiny, 2022; Elboshy et al, 2022; Elkadeem et al, 2022). Considering the intricate nature of mapping multifaceted energy infrastructures, the integration of GIS with MCDM techniques has proven a very useful tool in facilitating informed judgments regarding the identification of potential sites for renewable energy projects (Al Garni and Awasthi, 2017; Badi et al, 2021; Elkadeem et al, 2021).…”

Section: Methodology and Datamentioning

confidence: 99%

A spatial perspective on renewable energy optimization: Case study of southern Tunisia Using GIS and multicriteria decision making

Rekik,

El Alimi

2023

Energy Exploration & Exploitation

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Renewable energy systems have emerged as a viable option to mitigate the environmental impacts of traditional fossil fuels. However, the intermittent nature of these renewables, such as solar and wind, makes it challenging to ensure a stable energy supply using only one type. Therefore, combining more than a single technology offers significant advantages in addressing the limitations associated with each individual system. Nevertheless, developing these systems requires substantial financial investments, making it crucial to identify the most suitable locations prior to installing them. In this article, the prime objective was to propose a preliminary evaluation of land suitability for constructing solar and wind hybrid facilities (PV–wind, PV–CSP, and CS–wind) in Tataouine, southern Tunisia. To this end, a GIS-based MCDA methodology was developed based on an extensive literature review and experts’ feedback while considering climate, topography, accessibility, and environmental factors. The results obtained revealed that the optimal area for a CSP–PV hybrid system is about 793 km2, indicating that this combination has the highest potential in terms of available resources and compatibility. On the other hand, well-suited locations for hosting CSP–wind and PV–wind systems covered areas of 412 and 333 km2, respectively. Such specific locations are capable of generating an annual technical potential of 316.169, 91.252, and 62.970 TWh for CSP–PV, CSP–wind, and PV–wind, respectively. Interestingly, comprising almost all of the most appropriate sites, Remada and Dhiba stand as the ideal locations for accommodating such hybrid systems. Considering this outcome, Tataouine can position itself as a model for renewable energy adoption in Tunisia. Therefore, it is imperative for policymakers, investors, and local communities to collaborate and embrace these hybrid systems to capitalize on this immense potential and pave the way for a greener and more prosperous future.

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Section: Methodology and Datamentioning

confidence: 99%

A spatial perspective on renewable energy optimization: Case study of southern Tunisia Using GIS and multicriteria decision making

Rekik,

El Alimi

2023

Energy Exploration & Exploitation

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“…The AHP method can be used alone or in conjunction with other algorithms. [13][14][15][16][17][18][19][20].…”

Section: Literature Reviewsmentioning

confidence: 99%

Determining the Location of Public Green Open Space in Kota Palu Using Analytical Hierarchy Process with Map Overlay (AHP-MOV)

Bakri,

Kasim,

Achsan

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Green Open Spaces (GOS) are an important component of the environment and, as a major spatial plan and area, play an important role in the sustainability of urban communities. The green area within the zone is 30% of the total area of the zone, according to Spatial Planning Act No 26/2007. Similarly, in the Spatial Planning Act, his PU number 05/PRT/M/2008 describes guidelines for the provision and use of open spaces in urban areas. Public and private green spaces are included in open spaces. At least 30% of urban green space is public green space, with the remaining 10% being private green space. The purpose of this research is to identify potential locations for public green spaces in Kota Palu. The survey methods used are descriptive and quantitative, with the location of required green space determined using hierarchical process analysis (AHP) and overlay analysis (weighted overlay). The Analytical Hierarchy Process (AHP) results show that variables are followed by hazard probability in order of priority, then slope, population density, land use, and accessibility. According to the findings, the number of percentages generated by hierarchical process (AHP) analysis and weighted overlay analysis is 34.61%.

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“…Global Horizontal Irradiance (GHI) [25,26,[29][30][31] Average Wind Speed [25,26,29,30,32] Wind power density [26,[33][34][35] Percentage of windy days [33] Ambient temperature [31,[36][37][38] Slope [26,31,32,34,36] Aspect [20,37,39] Distance to grid lines [20,21,26,31,32] Distance to major roads [20,21,26,31,32] Distance to residential areas [20,21,26,31,32] Elevation [21,25,29,30,32] Land use [21,25,[29]…”

Section: Criteria Referencementioning

confidence: 99%

Unlocking renewable energy potential: A case study of solar and wind site selection in the Kasserine region, central‐western Tunisia

Rekik,

El Alimi

2023

Energy Science & Engineering

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Developing wind and solar photovoltaics on a large scale requires substantial financial investments, making it crucial to identify the most suitable locations beforehand. To address this issue, a spatial analysis is carried out to determine the most potential sites for hosting large‐scale solar photovoltaic and wind systems in the region of Kasserine, central‐western Tunisia. To this end, an integrated model based on Step‐wise Assessment Ratio Analysis (SWARA), Decision‐Making Trial and Evaluation Laboratory (DEMATEL), and Geographic Information System is proposed. An extensive literature survey is conducted to establish suitability criteria and constraints. The SWARA‐DEMATEL is used to assign weights and capture the interdependencies among the considered criteria, while the raster calculator tool from the ArcGis 10.8 software is utilized to extract the final suitability maps. The obtained results indicate that the region of Kasserine exhibits great solar and wind potential, with areas of 635 and 467 km2 extremely fit for installing solar and wind systems, respectively. Furthermore, 349 km2 are identified as potential locations for hosting solar‐wind hybrid systems. Considering these outcomes, policymakers can take the initiative to accelerate the deployment of these facilities, which would assist the country in achieving its plans by 2030.

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A suitability mapping for the PV solar farms in Egypt based on GIS-AHP to optimize multi-criteria feasibility

Cited by 88 publications

References 30 publications

A spatial perspective on renewable energy optimization: Case study of southern Tunisia Using GIS and multicriteria decision making

A spatial perspective on renewable energy optimization: Case study of southern Tunisia Using GIS and multicriteria decision making

Determining the Location of Public Green Open Space in Kota Palu Using Analytical Hierarchy Process with Map Overlay (AHP-MOV)

Unlocking renewable energy potential: A case study of solar and wind site selection in the Kasserine region, central‐western Tunisia

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