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Article detail · 2024

Multi-criteria decision making for solar power - Wind power plant site selection using a GIS-intuitionistic fuzzy-based approach with an application in the Netherlands

Journal

Energy Strategy Reviews

ISSN 2211-467X

YÖKSİS OpenAlex Open access · gold SJR Q1 Citations 53 Top 1% Percentile 99.5% FWCI 17.6
Year
2024
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue Energy Strategy Reviews
  • Catalog match (ISSN) Energy Strategy Reviews
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

The development of a country cannot be realized only through the amount of energy it produces and its industrialization. In a country where its people are left homeless and poor, and its cultural and natural riches are destroyed, the electricity produced is not a measure of development on its own. Development and progress must be considered from a holistic perspective that includes the country's geographical structure, all its living creatures, culture, urban and social structure as a whole. In this respect, the transition to renewable energy is imperative. One of the most widely used renewable energies in the Netherlands is solar and wind energy. For these power plants, site selection is an important factor in reducing the installation cost of the wind and solar power plant and achieving maximum efficiency during operation. This paves the way for the study of a site selection problem. In this study, we first investigate possible locations for solar-wind power plant installation for 12 regions of the Netherlands, namely Noord Holland, Gelderland, Friesland, North Brabant, Drenthe, Groningen, Zeeland (Middelburg), Utrecht, Zuid Holland, Limburg, Over Ijssel and Flevoland, using GIS as a mapping method, and then apply a Intuitionistic fuzzy-based approach to the problem to obtain the optimal locations for both solar and wind energy. Furthermore, the results of two methods (GIS and Intuitionistic fuzzy-based approach) are compared to obtain more accurate results. The results show that 35317.2 km2 is suitable for solar power plant and 34844.5 km2 is suitable for wind turbine, but only 34875.8 km2 is suitable for solar-wind power plan installation.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

53 citations

OpenAlex cited_by_count (cache / database)

21 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. Application of Z-number based fuzzy MCDM in solar power plant location selection problem in Spatial planning 2024 Citations 25 · OpenAlex
  2. Application of Z-number based fuzzy MCDM in solar power plant location selection problem in Spatial planning 2024 Citations 25 · OpenAlex
  3. Multi-criteria solar power plant siting problem solution using a GIS-Taguchi loss function based interval type-2 fuzzy approach: The case of Kars Province/Turkey 2024 Citations 19 · OpenAlex
  4. Wind power plant site selection problem solution using GIS and resource assessment and analysis of wind energy potential by estimating Weibull distribution function for sustainable energy production: The case of Bitlis/Turkey 2024 Citations 18 · OpenAlex
  5. Wind Power Plant Site Selection Problem Solution Using GIS and Resource Assessment and Analysis of Wind Energy Potential by Estimating Weibull Distribution Function For Sustainable Energy Production:The Case of Bitlis/Turkey 2024 Citations 18 · OpenAlex
  6. Integrated information system based on Q-learning algorithm and multi-objective particle swarm optimization with molecular fuzzy-based decision-making for corporate environmental investments 2025 Citations 13 · OpenAlex
  7. Assessment of Wind Energy Potential and Optimal Site Selection for Wind Energy Plant Installations in Igdir/Turkey 2024 Citations 9 · OpenAlex
  8. Probabilistic assessment of wind power plant energy potential through a copula-deep learning approach in decision trees 2024 Citations 9 · OpenAlex
  9. Probabilistic assessment of wind power plant energy potential through a copula-deep learning approach in decision trees 2024 Citations 9 · OpenAlex
  10. Assessment of Wind Energy Potential and Optimal Site Selection for Wind Energy Plant Installations in Igdir/Turkey 2024 Citations 7 · OpenAlex

Authors

  1. Gökhan ŞAHİN
  2. AHMET KOÇ DİCLE ÜNİVERSİTESİ
  3. Wilfried van SARK