hig.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Selecting Optimal Locations for Photovoltaic Power Plants in Mountainous Regions based on GIS-MCDA: A Case Study of North Macedonia
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Computer and Geospatial Sciences, Geospatial Sciences.
2025 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Photovoltaic Power Plants (PVPP) are a renewable energy source that use solar panels to transform sunlight into electricity. Identifying optimal locations for PVPP is essential to ensure the site meets numerous criteria and leads to maximised energy production. Mountainous terrains can often be overlooked as PVPP candidates because they are deemed as difficult or unsuitable areas. However, with proper installation techniques and site selection, these areas can offer high functionality and energy output. Despite its potential and growing relevance, there remains a lack of a practical framework for selecting optimal PVPP sites.

This study developed and applied a model for selecting optimal locations for installation of PVPP in mountainous terrains, using the Republic of North Macedonia as a case study. By employing geographic information systems (GIS) combined with multi-criteria decision analysis (MCDA) and the analytic hierarchy process (AHP), various criteria for selecting optimal locations were considered. Nine key factors and additional six constraints were evaluated, with expert insights used to define the criteria and determine AHPweightings. The model identified over 5,720 km² of highly suitable land in the study area, while 11,831 km² were excluded based on the applied constraints. The Vardar, East, Southeast and Pelagonia regions were classified as highly suitable. Energy production was calculated for several locations, confirming a successful PVPP siting with approximately 1.6 GWh/year energy output for an area of 10,000 m².

This study offers a transferable decision-support framework for sustainable energy planning in mountainous terrains, contributing to North Macedonia’s renewable energy transition goals and the European Union’s clean energy agenda. 

Place, publisher, year, edition, pages
2025. , p. v+41+appendixes
Keywords [en]
Geographic information systems, Multicriteria Decision Analysis, The Analytical Hierarchy Process, Sensitivity Analysis, Photovoltaic Power Plants, Mountainous terrain
National Category
General Literature Studies
Identifiers
URN: urn:nbn:se:hig:diva-47435OAI: oai:DiVA.org:hig-47435DiVA, id: diva2:1973409
Subject / course
Geomatics
Educational program
Master Programme in GIS and Applied Geography
Supervisors
Examiners
Available from: 2025-06-19 Created: 2025-06-19 Last updated: 2025-10-02Bibliographically approved

Open Access in DiVA

fulltext(3570 kB)295 downloads
File information
File name FULLTEXT01.pdfFile size 3570 kBChecksum SHA-512
87ef157a360ef588fc131592a013224a4aa38928b27365cf70cd3acc219b734fea3f6d3425bee57c21b6fdcd2362e55ac63f6c40ef17a9e431118df02621e05a
Type fulltextMimetype application/pdf

By organisation
Geospatial Sciences
General Literature Studies

Search outside of DiVA

GoogleGoogle Scholar
Total: 297 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 347 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf