Integrated Fuzzy Multi Criteria Decision Making Approach for Sustainable Energy Technology Selection

Büyüközkan, Gülçin; Havle, Celal Alpay; Feyzıog̃lu, Orhan; Uztürk, Deniz

doi:10.1145/3386762.3391921

Cited by 4 publications

(6 citation statements)

References 18 publications

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“…Similar to the results of the studies by Bouyukozcan and Guleryuz [33], Amer and Daim [22], Kempegowda et al [25], and Si et al [44], investment costs were identified as the most influential subcriterion in the economic category (see Table IV), which may be explained by the country's high inflation and by the costs involved in converting biomass into energy [86]. Based on the respondents' point of view, resource availability has the minimum weight in technology evaluation (from the economic perspective).…”

Section: Resultssupporting

confidence: 91%

“…Buyukozkan and Guleryuz [33] used a combination of fuzzy AHP and fuzzy TOPSIS to identify the best REPT in Turkey, based on 12 criteria, divided into technical, economic, social, and environmental categories, identifying investment cost, return on investment, job creation, efficiency of technology, and reliability as the main criteria. The results showed that nuclear energy was the best alternative.…”

Section: Literature Reviewmentioning

confidence: 99%

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Measuring the Importance of Decision-Making Criteria in Biofuel Production Technology Selection

Kheybari

Rezaie

Rezaei

2021

IEEE Trans. Eng. Manage.

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Environmental problems, combined with a finite supply of fossil fuels, have made the use of renewable energy sources necessary. Biomass is a renewable source of energy that has played a very important role in energy production in recent years. Because there are a number of technologies that can be used to convert biomass into energy, it is important to select the best option. The fact that multiple options are available that need to be evaluated based on a set of decision-making criteria makes this a multicriteria decision-making problem. This paper takes the first step in proposing an evaluation framework and identifying the importance of the relevant decision-making criteria in biofuel production technology selection. To determine the importance of the selection criteria, experts were asked to respond to an online questionnaire based on the best-worst method. The results indicate that air pollution, land use change, and human expertise are the three most important criteria for selecting the best biofuel production technology in our case country, Iran.

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Section: Resultssupporting

confidence: 91%

Section: Literature Reviewmentioning

confidence: 99%

Measuring the Importance of Decision-Making Criteria in Biofuel Production Technology Selection

Kheybari

Rezaie

Rezaei

2021

IEEE Trans. Eng. Manage.

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“…The methodology was very clear and very similar to the proposed methodology in this paper since it guaranteed a systematic approach for energy strategy sustainability evaluation. On the other hand, the same problem was approached with multi-criteria decision-making (MCDM) methods [62]. By using participatory modeling and surveying, the authors identified all relevant criteria that had quantitative and qualitative characteristics and used a decision-making process to calculate the criteria weights [63].…”

Section: Linguistic Value Normalized Fuzzy Triangular Numbermentioning

confidence: 99%

“…The only previous research works [62,74] that have some similarity to our methods and findings systematically try to select the best energy type under criteria.…”

mentioning

confidence: 99%

Supportiveness of Low-Carbon Energy Technology Policy Using Fuzzy Multicriteria Decision-Making Methodologies

Kokkinos

Karayannis

2020

Mathematics

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The deployment of low-carbon energy (LCE) technologies and management of installations represents an imperative to face climate change. LCE planning is an interminable process affected by a multitude of social, economic, environmental, and health factors. A major challenge for policy makers is to select a future clean energy strategy that maximizes sustainability. Thus, policy formulation and evaluation need to be addressed in an analytical manner including multidisciplinary knowledge emanating from diverse social stakeholders. In the current work, a comparative analysis of LCE planning is provided, evaluating different multicriteria decision-making (MCDM) methodologies. Initially, by applying strengths, weaknesses, opportunities, and threats (SWOT) analysis, the available energy alternative technologies are prioritized. A variety of stakeholders is surveyed for that reason. To deal with the ambiguity that occurred in their judgements, fuzzy goal programming (FGP) is used for the translation into fuzzy numbers. Then, the stochastic fuzzy analytic hierarchical process (SF-AHP) and fuzzy technique for order performance by similarity to ideal solution (F-TOPSIS) are applied to evaluate a repertoire of energy alternative forms including biofuel, solar, hydro, and wind power. The methodologies are estimated based on the same set of tangible and intangible criteria for the case study of Thessaly Region, Greece. The application of FGP ranked the four energy types in terms of feasibility and positioned solar-generated energy as first, with a membership function of 0.99. Among the criteria repertoire used by the stakeholders, the SF-AHP evaluated all the criteria categories separately and selected the most significant category representative. Finally, F-TOPSIS assessed these criteria ordering the energy forms, in terms of descending order of ideal solution, as follows: solar, biofuel, hydro, and wind.

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“…Effect on the environment, social effect, operating costs, and technological feasibility should be examined. RE source selection problem are frequently encountered in the literature [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. In this study a selection model for RE by using Fuzzy AHP and Fuzzy TOPSIS methods that are often used in the literature among multi-criteria.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Hybrid Decision Model for Renewable Energy Sources Selection

Toklu

Taşkın²

2018

International Journal of Computational and Experimental Science and Engineering

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The energy needs of the world have been increasing from year on year. Fossil fuels, including coal, oil and natural gas, are currently the world's fundamental energy source. Non-renewable energy sources threaten the world as a result of many problems such as air, water and environmental pollution. For this reason, countries tend towards renewable energy sources The selection of the most appropriate renewable energy sources is crucial for improving of countries. Different criteria should be considered simultaneously in the selection of renewable energy sources. In this study, a hybrid approach involving Fuzzy AHP and Fuzzy TOPSIS is suggested to select renewable energy sources. Proposed approach is presented with a case study for empirical evidence. In the case study, alternative energy sources were evaluated under four main criteria: (1) Technical, (2) Economical, (3) Environmental, (4) Social and Political. As a result of the 2-stage evaluation method including multi-criteria decision making techniques, wind energy was determined as the most suitable alternative.

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Integrated Fuzzy Multi Criteria Decision Making Approach for Sustainable Energy Technology Selection

Cited by 4 publications

References 18 publications

Measuring the Importance of Decision-Making Criteria in Biofuel Production Technology Selection

Measuring the Importance of Decision-Making Criteria in Biofuel Production Technology Selection

Supportiveness of Low-Carbon Energy Technology Policy Using Fuzzy Multicriteria Decision-Making Methodologies

A Fuzzy Hybrid Decision Model for Renewable Energy Sources Selection

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