Enhanced Objectivity of AHP for More Reliable Solar Farm Site Selection

dc.contributor.author A. E. Dincer
dc.contributor.author A. Demir
dc.contributor.author K. Yilmaz
dc.contributor.author Yilmaz, K.
dc.contributor.author Demir, A.
dc.contributor.author Dincer, A. E.
dc.date MAY
dc.date.accessioned 2025-10-06T16:22:36Z
dc.date.issued 2025
dc.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.
dc.identifier.doi 10.1002/ese3.70027
dc.identifier.issn 2050-0505
dc.identifier.scopus 2-s2.0-105002718404
dc.identifier.uri http://dx.doi.org/10.1002/ese3.70027
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/7433
dc.identifier.uri https://doi.org/10.1002/ese3.70027
dc.language.iso English
dc.publisher WILEY
dc.relation.ispartof Energy Science & Engineering
dc.rights info:eu-repo/semantics/openAccess
dc.source ENERGY SCIENCE & ENGINEERING
dc.subject AHP, AHP-OH, GIS, objectivity, site selection, solar PV farms
dc.subject ANALYTIC HIERARCHY PROCESS, PHOTOVOLTAIC POWER-PLANTS, GIS, UNCERTAINTY, SENSITIVITY, CAPACITY, SUPPORT, ENERGY
dc.subject GIS
dc.subject AHP
dc.subject Solar PV Farms
dc.subject Site Selection
dc.subject AHP-OH
dc.subject Objectivity
dc.title Enhanced Objectivity of AHP for More Reliable Solar Farm Site Selection
dc.type Article
dspace.entity.type Publication
gdc.author.id Yılmaz, Kutay/0000-0001-5529-9239
gdc.author.id Dinçer, Ali Ersin/0000-0002-4662-894X
gdc.author.scopusid 56825490100
gdc.author.scopusid 57208242277
gdc.author.scopusid 57924840400
gdc.author.wosid Demir, Abdullah/IXX-2300-2023
gdc.author.wosid Yılmaz, Kutay/JPK-6886-2023
gdc.author.wosid Dinçer, Ali Ersin/GSI-8485-2022
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department
gdc.description.departmenttemp [Dincer, A. E.] Abdullah Gul Univ, Hydraul Lab, Dept Civil Engn, Kayseri, Turkiye; [Dincer, A. E.; Demir, A.] Enginering & Consultancy Ltd Co, S4A R&D, Erciyes Teknopark, Kayseri, Turkiye; [Demir, A.] Abdullah Gul Univ, Dept Civil Engn, Struct Lab, Kayseri, Turkiye; [Yilmaz, K.] Yasar Univ, Dept Civil Engn, Hydraul Lab, Izmir, Turkiye
gdc.description.endpage 2329
gdc.description.issue 5
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 2315
gdc.description.volume 13
gdc.description.woscitationindex Science Citation Index Expanded
gdc.identifier.openalex W4409529234
gdc.identifier.wos WOS:001468864300001
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.impulse 1.0
gdc.oaire.influence 2.423656E-9
gdc.oaire.isgreen false
gdc.oaire.keywords solar PV farms
gdc.oaire.keywords Technology
gdc.oaire.keywords AHP
gdc.oaire.keywords T
gdc.oaire.keywords Science
gdc.oaire.keywords Q
gdc.oaire.keywords objectivity
gdc.oaire.keywords AHP‐OH
gdc.oaire.keywords GIS
gdc.oaire.keywords site selection
gdc.oaire.popularity 3.3205578E-9
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gdc.virtual.author Yilmaz, Kutay
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oaire.citation.endPage 2329
oaire.citation.startPage 2315
person.identifier.orcid Dincer- Ali Ersin/0000-0002-4662-894X,
publicationissue.issueNumber 5
publicationvolume.volumeNumber 13
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