Enhanced Objectivity of AHP for More Reliable Solar Farm Site Selection
ABSTRACT The analytic hierarchy process (AHP) is a popular decision‐making method for reliable decisions in different areas of study. Although the conventional AHP method mathematically ensures the consistency of results, the reliability of these results depends on the expert manifests. While AHP wa...
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Wiley
2025-05-01
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| Series: | Energy Science & Engineering |
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| Online Access: | https://doi.org/10.1002/ese3.70027 |
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| author | A. E. Dinçer A. Demir K. Yılmaz |
| author_facet | A. E. Dinçer A. Demir K. Yılmaz |
| author_sort | A. E. Dinçer |
| collection | DOAJ |
| description | ABSTRACT The analytic hierarchy process (AHP) is a popular decision‐making method for reliable decisions in different areas of study. Although the conventional AHP method mathematically ensures the consistency of results, the reliability of these results depends on the expert manifests. While AHP was originally proposed for subjectively relatable criteria, there may also be additional objectively relatable criteria or a consensus about the final relation of some couple of criteria. To address these objective relations and/or consensuses, this study proposes the analytic hierarchy process with optimized hierarchy (AHP‐OH). This method enhances the reliability of results by satisfying objective relations and/or consensuses about relations between criteria. The AHP‐OH methodology was applied to select optimal photovoltaic (PV) farm locations in Konya Province, Turkey, a region characterized by diverse terrain and solar radiation levels. The study incorporated geographic information systems to analyze criteria, such as solar radiation rate, land use, slope, proximity to roads and transmission lines, and restricted areas. Results demonstrated that 2.56% of Konya's terrain is highly (80%–100%) suitable and 19.34% of it has moderately high (60%–80%) suitability for PV farm development, with five highly suitable regions identified. Notably, the locations of existing PV farms aligned closely with the identified suitable zones, validating the efficacy of the AHP‐OH approach. This research underscores the importance of objectivity of decision‐making methods and proposes AHP‐OH to enhance the objectivity of the conventional AHP method. By providing a systematic and objective framework for spatial decision support systems, AHP‐OH offers significant advancements for policymakers and developers in the renewable energy sector. Future applications of this methodology can extend to other regions and renewable energy sources, contributing to global efforts in sustainable energy development. |
| format | Article |
| id | doaj-art-e321ae010887483183a508f92cd670fb |
| institution | Kabale University |
| issn | 2050-0505 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Energy Science & Engineering |
| spelling | doaj-art-e321ae010887483183a508f92cd670fb2025-08-20T03:48:51ZengWileyEnergy Science & Engineering2050-05052025-05-011352315232910.1002/ese3.70027Enhanced Objectivity of AHP for More Reliable Solar Farm Site SelectionA. E. Dinçer0A. Demir1K. Yılmaz2Department of Civil Engineering Hydraulics Laboratory Abdullah Gül University Kayseri TürkiyeS4A R&D, Enginering and Consultancy Ltd. Co. Erciyes Teknopark Kayseri TürkiyeDepartment of Civil Engineering Hydraulics Laboratory Yaşar University İzmir TürkiyeABSTRACT The analytic hierarchy process (AHP) is a popular decision‐making method for reliable decisions in different areas of study. Although the conventional AHP method mathematically ensures the consistency of results, the reliability of these results depends on the expert manifests. While AHP was originally proposed for subjectively relatable criteria, there may also be additional objectively relatable criteria or a consensus about the final relation of some couple of criteria. To address these objective relations and/or consensuses, this study proposes the analytic hierarchy process with optimized hierarchy (AHP‐OH). This method enhances the reliability of results by satisfying objective relations and/or consensuses about relations between criteria. The AHP‐OH methodology was applied to select optimal photovoltaic (PV) farm locations in Konya Province, Turkey, a region characterized by diverse terrain and solar radiation levels. The study incorporated geographic information systems to analyze criteria, such as solar radiation rate, land use, slope, proximity to roads and transmission lines, and restricted areas. Results demonstrated that 2.56% of Konya's terrain is highly (80%–100%) suitable and 19.34% of it has moderately high (60%–80%) suitability for PV farm development, with five highly suitable regions identified. Notably, the locations of existing PV farms aligned closely with the identified suitable zones, validating the efficacy of the AHP‐OH approach. This research underscores the importance of objectivity of decision‐making methods and proposes AHP‐OH to enhance the objectivity of the conventional AHP method. By providing a systematic and objective framework for spatial decision support systems, AHP‐OH offers significant advancements for policymakers and developers in the renewable energy sector. Future applications of this methodology can extend to other regions and renewable energy sources, contributing to global efforts in sustainable energy development.https://doi.org/10.1002/ese3.70027AHPAHP‐OHGISobjectivitysite selectionsolar PV farms |
| spellingShingle | A. E. Dinçer A. Demir K. Yılmaz Enhanced Objectivity of AHP for More Reliable Solar Farm Site Selection Energy Science & Engineering AHP AHP‐OH GIS objectivity site selection solar PV farms |
| title | Enhanced Objectivity of AHP for More Reliable Solar Farm Site Selection |
| title_full | Enhanced Objectivity of AHP for More Reliable Solar Farm Site Selection |
| title_fullStr | Enhanced Objectivity of AHP for More Reliable Solar Farm Site Selection |
| title_full_unstemmed | Enhanced Objectivity of AHP for More Reliable Solar Farm Site Selection |
| title_short | Enhanced Objectivity of AHP for More Reliable Solar Farm Site Selection |
| title_sort | enhanced objectivity of ahp for more reliable solar farm site selection |
| topic | AHP AHP‐OH GIS objectivity site selection solar PV farms |
| url | https://doi.org/10.1002/ese3.70027 |
| work_keys_str_mv | AT aedincer enhancedobjectivityofahpformorereliablesolarfarmsiteselection AT ademir enhancedobjectivityofahpformorereliablesolarfarmsiteselection AT kyılmaz enhancedobjectivityofahpformorereliablesolarfarmsiteselection |