Site suitability for solar and wind energy in developing countries using combination of GIS- AHP; a case study of Pakistan

Raza, Muhammad Ali; Yousif, Muhammad; Hassan, Muhammad; Numan, Muhammad; Kazmi, Syed Ali Abbas

doi:10.1016/j.renene.2023.02.010

Cited by 40 publications

(10 citation statements)

References 20 publications

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“…Fuzzy AHP was employed in India [16] to assess the spatial suitability of solar farm locations, taking into account technical, economic, and environmental factors, with climate once again identified as the most crucial criterion. Similar studies integrating MCDM with GIS were also conducted for several countries such as Iran [17][18][19][20], Tanzania [21], Spain [22,23], Ethiopia [24], Pakistan [25][26][27], Tunisia [28], and Saudi Arabia [29].…”

Section: Introductionmentioning

confidence: 79%

A Novel Procedure for the AHP Method for the Site Selection of Solar PV Farms

Demir,

Dinçer,

Yılmaz

2024

International Journal of Energy Research

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This study proposes a novel approach to enhance the analytic hierarchy process (AHP) for the selection of suitable sites for solar photovoltaic (PV) farms. This approach is particularly beneficial when it is possible to establish a predefined objective relation in the final weights of the AHP method. The methodology focuses on achieving this predefined relation introducing a systematic revision of the constants of related constraints. In this study, the costs of constructing a unit transmission line and road in the Kayseri Province are objectively related, and the initial constant matrix of the AHP method is iteratively revised until the relation of the final weights converges to the predefined one. The suitability of solar PV farm locations is classified into five classes, revealing approximately 28% (40-100% of suitability) of the province as favorably suitable and designating about 67% as restricted zones. The findings reveal notable distinctions between the revised weights and those derived from the conventional AHP method. The disparity in weights for various constraints varies from 13.5% to 7.2%. Consequently, the alterations in the area of suitability regions range from 3.4% to 50%. The revision of AHP weights results in a reduction in higher-suitability areas, coupled with a significant expansion in the region exhibiting lower suitability. Notably, the extent of change in the suitability map increases when the difference in ratios between two criteria obtained from the AHP and the predefined objective relation is high. The proposed method demonstrates its applicability in regions like Kayseri where an objective relation between criteria can be established. Given the inherent subjectivity of the AHP method, the proposed procedure becomes essential to attain more objective weights. Since the methodology objectively adjusts weights based on known ratios, it increases the accuracy and reliability of site selection studies.

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Section: Introductionmentioning

confidence: 79%

A Novel Procedure for the AHP Method for the Site Selection of Solar PV Farms

Demir,

Dinçer,

Yılmaz

2024

International Journal of Energy Research

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“…Turkey is one of the leading countries in this eld (Sustainable power). [17] 2. Turkey's geographical location has given it suitable wind resources for these projects.…”

Section: Study Areamentioning

confidence: 99%

“…3. With Turkey's future goals to increase the production of electric energy by wind, and with the presence of more than 239 wind farms [17], nding suitable sites for new projects becomes more complex.…”

Section: Study Areamentioning

confidence: 99%

Utilizing Multivariate Clustering and Spatial Analysis for Selecting Suitable sites for Sustainable Wind Energy

Khalaf,

Uçan,

Alsamarai

2024

Preprint

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This paper focuses on utilizing multivariate clustering and spatial analysis techniques to identify suitable sites for sustainable wind energy projects. It begins by highlighting Turkey's significant economic growth and its shift towards a more diversified and industrialized economy, emphasizing the importance of addressing the country's growing energy needs sustainably. With wind power generation experiencing unprecedented growth globally, particularly in Turkey, the study underscores the importance of optimizing wind energy location selection for efficiency, cost-effectiveness, and reduced environmental impact. The methodology involves collecting and preprocessing data on various factors influencing wind energy localization, including natural, socio-economic, and environmental criteria. These factors range from wind speed, slope, and elevation to proximity to urban areas, roads, airports, and protected areas. The study utilizes geographic information systems (GIS) to integrate and analyze these data layers, facilitating a comprehensive assessment of potential wind farm sites. Techniques used include the K-Means algorithm multivariate clustering algorithms, which group a group’s spatial data points based on similarities across multiple variables. This approach helps reduce the complexity of the analysis and identifies meaningful relationships among the criteria. Our research results indicate suitable and unsuitable areas for wind farm installation using a multivariate cluster classification algorithm, which classified sites into four groups (22% very suitable, 28% suitable, 15% less suitable, and 35% unsuitable) from the areas included in the study, excluding land uses where wind farms cannot be established according to pre-defined criteria. The research emphasizes the importance of GIS in visualizing and analyzing spatial data effectively, enabling informed decision-making in wind energy site selection. The framework proposed for identifying suitable locations for wind farms is put to the test through a case study in all Turkey areas, providing valuable insights into its practical utility and potential for broader use in similar contexts.

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“…Since it is a scientific procedure with such advantages, there are several studies in the literature that utilize the outputs of AHP in GIS. For instance, both Raza et al ( 2023 ) and Rekik and Alimi ( 2023 ) determined the suitable sites for solar and wind energy by using both AHP method and GIS, whereas Ali et al ( 2023 ) used the combination of GIS and AHP to identify the optimal site for off-river pumped hydro energy storage. Günen ( 2021 ) and Demir et al ( 2023 ) used both GIS and AHP methods to determine suitable sites for large-scale PV farms.…”

Section: Introductionmentioning

confidence: 99%

Convenient Site Selection of a Floating PV Power Plant in Türkiye by using GIS-Fuzzy Analytical Hierarchy Process

Karipoğlu,

Koca,

İlbahar

2024

Environ Sci Pollut Res

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Floating photovoltaics (FPVs) are appearing as a promising and an alternative renewable energy opinion in which PV panels are mounted on floating platforms in order to produce electricity from renewable energy on water such as seas, dams, rivers, oceans, canals, fish farms, and reservoirs. So far, such studies related to the body knowledge on financial, technical, and environmental aspects of installation of FPV have not been performed in Turkey while expanding steadily in other countries. In this study, suitable site selection for installation of FPV power plants on three lakes in Turkey was studied by performing geographic information system (GIS) and the fuzzy analytic hierarchy process (FAHP) as multi-criteria decision-making (MCDM) method. This detailed study revealed that the criterion of global horizontal irradiance (GHI) was determined as the most crucial criterion for the installation of FPV on Beysehir Lake, Lake of Tuz, and Van Lake. Additionally, it was clearly seen that the Beysehir Lake had the highest value approximately 52% among other lakes for installation, that is why Beysehir Lake is selected as the best option for installation of an FPV system with this multi-criteria approach.

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Site suitability for solar and wind energy in developing countries using combination of GIS- AHP; a case study of Pakistan

Cited by 40 publications

References 20 publications

A Novel Procedure for the AHP Method for the Site Selection of Solar PV Farms

A Novel Procedure for the AHP Method for the Site Selection of Solar PV Farms

Utilizing Multivariate Clustering and Spatial Analysis for Selecting Suitable sites for Sustainable Wind Energy

Convenient Site Selection of a Floating PV Power Plant in Türkiye by using GIS-Fuzzy Analytical Hierarchy Process

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