Optimal Site Selection for Solar PV Systems in the Colombian Caribbean: Evaluating Weighting Methods in a TOPSIS Framework DOI Open Access
Carlos Robles-Algarín, Luis Jose Castrillo-Fernandez, Diego Restrepo-Leal

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(20), P. 8761 - 8761

Published: Oct. 10, 2024

This research paper proposes a framework utilizing multicriteria tools for optimal site selection of photovoltaic solar farms. A comparative analysis was conducted using three quantitative methods—CRITIC (criteria importance through intercriteria correlation), PCA (principal component analysis), and entropy—to obtain the weights process. The evaluation considered environmental, demographic, financial, meteorological, performance system criteria. TOPSIS (technique order preference by similarity to ideal solution) employed rank alternatives based on their proximity positive solution distance from negative solution. capital cities seven departments in Colombian Caribbean region were selected assessment, characterized high annual radiation, evaluate suitability proposed decision-making framework. results demonstrated that Barranquilla consistently ranked top two across all methods, indicating its strong performance. Cartagena, instance, fluctuated between first third place, showing some stability but still influenced method used. In contrast, Sincelejo among lowest positions. sensitivity with equal weight distribution confirmed top-performing cities, though it also highlighted assignment impacted final rankings. Choosing appropriate calculation depended factors such as diversity interdependence criteria, availability reliable data, desired results. For CRITIC captured inter-criteria correlation, while focused reducing dimensionality, entropy emphasized variability information.

Language: Английский

Enhanced Solar Photovoltaic System Management and Integration: The Digital Twin Concept DOI Creative Commons
Olufemi I. Olayiwola, Ümit Cali, Miles Elsden

et al.

Solar, Journal Year: 2025, Volume and Issue: 5(1), P. 7 - 7

Published: March 6, 2025

The rapid acceptance of solar photovoltaic (PV) energy across various countries has created a pressing need for more coordinated approaches to the sustainable monitoring and maintenance these widely distributed installations. To address this challenge, several digitization architectures have been proposed, with one most recently applied being digital twin (DT) system architecture. DTs proven effective in predictive maintenance, prototyping, efficient manufacturing, reliable monitoring. However, while DT concept is well established fields like wind conversion monitoring, its scope implementation PV remains quite limited. Additionally, recent increased adoption autonomous platforms, particularly robotics, expanded management revealed gaps real-time needs. platforms can be redesigned ease such applications enable integration into broader network. This work provides system-level overview current trends, challenges, future opportunities within renewable systems, focusing on systems. It also highlights how advances artificial intelligence (AI), internet-of-Things (IoT), systems leveraged create digitally connected infrastructure that supports supply maintenance.

Language: Английский

Citations

2
Application of Z-number based fuzzy MCDM in solar power plant location selection problem in Spatial planning DOI Creative Commons
Ömer Ünsal, Gülay Demir, Can Bülent Karakuş

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 12, P. 4034 - 4054

Published: Oct. 7, 2024

Language: Английский

Citations

6
Assessing agrivoltaics potential in Türkiye – A geographical information system (GIS)-based fuzzy multi-criteria decision making (MCDM) approach DOI

Sena Dere,

Elif Elçin Günay, Ufuk Kula

et al.

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 110598 - 110598

Published: Sept. 1, 2024

Language: Английский

Citations

4
Decision-Making Approach to Design a Sustainable Photovoltaic Closed-Loop Supply Chain Considering Market Share for Electric Vehicle Energy DOI Open Access
Hadi Shenabi, Rashed Sahraeian

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5763 - 5763

Published: July 5, 2024

This study aims to develop a model for the closed-loop supply chain of photovoltaic (PV) systems. The primary objective addresses strategic and tactical decision-making using two-stage approach. To pinpoint suitable locations solar power plants, PROMETHEE II method is utilized, which component multi-attribute decision making (MADM) approaches. Next, multi-objective modeling PV conducted. minimize total costs, reduce environmental impacts, mitigate adverse social effects, maximize on-time delivery (OTD) manufactured products, market share. Additionally, robust fuzzy mathematical introduced examine model’s sustainability under various uncertainties. An evaluation effectiveness utility this conducted in Tehran city. Furthermore, comprehensive analysis costs indicates that production centers have highest while separation lowest costs.

Language: Английский

Citations

1
Optimal Site Selection for Solar PV Systems in the Colombian Caribbean: Evaluating Weighting Methods in a TOPSIS Framework DOI Open Access
Carlos Robles-Algarín, Luis Jose Castrillo-Fernandez, Diego Restrepo-Leal

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(20), P. 8761 - 8761

Published: Oct. 10, 2024

This research paper proposes a framework utilizing multicriteria tools for optimal site selection of photovoltaic solar farms. A comparative analysis was conducted using three quantitative methods—CRITIC (criteria importance through intercriteria correlation), PCA (principal component analysis), and entropy—to obtain the weights process. The evaluation considered environmental, demographic, financial, meteorological, performance system criteria. TOPSIS (technique order preference by similarity to ideal solution) employed rank alternatives based on their proximity positive solution distance from negative solution. capital cities seven departments in Colombian Caribbean region were selected assessment, characterized high annual radiation, evaluate suitability proposed decision-making framework. results demonstrated that Barranquilla consistently ranked top two across all methods, indicating its strong performance. Cartagena, instance, fluctuated between first third place, showing some stability but still influenced method used. In contrast, Sincelejo among lowest positions. sensitivity with equal weight distribution confirmed top-performing cities, though it also highlighted assignment impacted final rankings. Choosing appropriate calculation depended factors such as diversity interdependence criteria, availability reliable data, desired results. For CRITIC captured inter-criteria correlation, while focused reducing dimensionality, entropy emphasized variability information.

Language: Английский

Citations

1