Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: The case of continental Ecuador

Villacreses, Geovanna; Gaona, Gabriel; Martínez-Gómez, Javier; Jijón, Diego

doi:10.1016/j.renene.2017.03.041

Cited by 266 publications

(123 citation statements)

References 32 publications

(58 reference statements)

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“…At the end of the study, the region of Laudonovac village (L8) was selected as the best alternative for wind farm installation. Villacreses et al aimed to determine the most suitable location for installing a wind farm in continental Ecuador. They used AHP, Ordered Weight Averaging, VIKOR, TOPSIS, and Occupational Repetitive Actions methods.…”

Section: Use Of Mcdm Methods For Energy Policy and Decision Makingmentioning

confidence: 99%

Use of MCDM techniques for energy policy and decision-making problems: A review

2018

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Energy consumption increases all over the world as a result of industrialization in recent years. In this context, it has become important to meet increasing energy demand. It is significant to find alternative energy sources because of limited nonrenewable energy sources such as coal, petroleum, and natural gas. At this point, renewable energy sources have an important role to meet energy requirement. As a result, decision and policy making for energy is completely critical issue for countries. Various technical, economic, environmental, and social criteria are used to solve energy policy and decision-making problems such as evaluation of energy projects, selection among energy alternatives, power plant site selection, and determining energy policy. Multicriteria decision-making (MCDM) methods are used as effective tools to help decision makers while solving energy problems. There are a large number of studies including articles, conference papers, and book chapters, which examine energy problems by using MCDM methods in the literature. Therefore, analyzing these studies according to different features such as publication year, MCDM method, document type, statistical analyses, country, and published journal can be beneficial for leading researchers who study in energy decision-making field. In this study, published papers, which use traditional MCDM methods to handle energy problems, are examined systematically. By the way, it is aimed to lead to researchers regarding MCDM methods which are utilized in energy applications. It also conducted some statistical analyses to obtain trends between years and MCDM methods. Besides, recent developments in energy field are presented through this comprehensive literature review.

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Section: Use Of Mcdm Methods For Energy Policy and Decision Makingmentioning

confidence: 99%

Use of MCDM techniques for energy policy and decision-making problems: A review

2018

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“…The performance of a wind power system depends on the weather conditions at the site, such as low air pressure, because a wind generator requires at least 3 m/s wind speed or above [76]. In addition, it must be in an area with a minimum chance of sudden disasters like powerful bursts of wind and floods which affect the performance of wind turbines [77].…”

Section: Climate Conditions (Tf3)mentioning

confidence: 99%

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

et al. 2018

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Pakistan has sufficient wind energy potential across various locations of the country. However, so far, wind energy development has not attained sufficient momentum matching its potential. Amongst various other challenges, the site selection for wind power development has always been a primary concern of the decision-makers. Principally, wind project site selection decisions are driven by various multifaceted criteria. As such, in this study, a robust research framework comprising of factor analysis (FA) of techno-economic and socio-political factors, and a hybrid analytical hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) have been used for the prioritization of sites in the southeastern region of Pakistan. The results of this study reveal economic and land acquisition as the most significant criteria and sub-criteria, respectively. From the eight different sites considered, Jamshoro has been prioritized as the most suitable location for wind project development followed by Hyderabad, Nooriabad, Gharo, Keti Bandar, Shahbandar, Sajawal, and Talhar. This study provides a comprehensive decision support framework comprising of FA and a hybrid AHP and Fuzzy TOPSIS for the systematic analysis to prioritize suitable sites for the wind project development in Pakistan.

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“…Additionally, all the five methods agree that the hydropower‐electrolysis and coal gasification systems should be the top two choices, while the photovoltaic‐electrolysis is the most undesirable option. Taking one step forward, the final scores given by different MADM methods were quantitatively compared by using a Pearson correlation coefficient (PC) . To be specific, since PC = 1 implies a complete agreement, a strong correlation between the scores of the fuzzy GRP method and the previous approaches can be observed in Figure .…”

Section: Sensitivity Analysis and Results Comparisonmentioning

confidence: 99%

Comprehensive evaluation of sustainable ammonia production systems based on fuzzy multiattribute decision making under hybrid information

Dong

2020

Energy Science & Engineering

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The comprehensive evaluation of ammonia production systems is of great significance for improving the sustainability of energy management and food supply. Therefore, an important contribution could be provided by developing a generic decision-making framework for prioritizing multiple ammonia production systems and identifying the best one. In this view, this paper aims to propose an integrated fuzzy MADM (multiattribute decision making) framework combining fuzzy BWM (best-worst method), fuzzy CRITIC (Criteria Importance Through Intercriteria Correlation), and fuzzy GRP (gray relational projection) approaches for the sustainability assessment of ammonia production systems under hybrid information. Comparing with the previous MADM-based frameworks for sustainability assessment, this framework adopts the TFN (triangular fuzzy number) to deal with the hybrid information (ie, crisp numbers, interval values, and fuzzy numbers) that arise from real-world decision-making issues. Accordingly, the weights of criteria can be comprehensively determined by integrating the fuzzy BWM and fuzzy CRITIC, which balance experts' subjective preferences and system's objective properties under uncertainties in the determination of the weights, while the sequence of alternatives can be reliably prioritized by extending the GRP into fuzzy conditions, which escalates the ranking capability under hybrid information via considering the relationships and relative balance among the alternatives' performances regarding the multicriteria. Seven alternative systems were studied by the proposed framework, indicating that ammonia generated from hydropower-electrolysis and coal gasification would be more preferable than the others, by considering 12 criteria from the concerns of technological, environmental, economic, and social-political. Additionally, sensitivity analysis and result comparison were conducted to verify the rationality and feasibility of the framework. This work makes a methodological contribution to the MADM-based sustainability research and serves as a reference for developing the ammonia economy in the future. K E Y W O R D Sammonia production system, combined weights, fuzzy best-worst method, fuzzy gray relational projection, hybrid information, sustainability assessment

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Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: The case of continental Ecuador

Cited by 266 publications

References 32 publications

Use of MCDM techniques for energy policy and decision-making problems: A review

Use of MCDM techniques for energy policy and decision-making problems: A review

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

Comprehensive evaluation of sustainable ammonia production systems based on fuzzy multiattribute decision making under hybrid information

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