A novel approach to extended fuzzy TOPSIS based on new divergence measures for renewable energy sources selection

Rani, Pratibha; Mishra, Arunodaya Raj; Mardani, Abbas; Cavallaro, Fausto; Alrasheedi, Melfi; Alrashidi, Afaf

doi:10.1016/j.jclepro.2020.120352

Cited by 154 publications

(69 citation statements)

References 84 publications

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“…Both the TOPSIS and VIKOR methods are suitable for solving decision-making problems ( Shen et al, 2014 ). However, many researchers ( Stanujkic et al, 2013 ; Ding and Kamaruddin, 2014 ; Yang et al2019 ; Rani et al, 2020 ) stated that TOPSIS is known to be from the most known and popular methods of MCDM.…”

Section: Research Backgroundmentioning

confidence: 99%

A model for evaluating green credit rating and its impact on sustainability performance

Nabeeh

Abdel‐Basset

Soliman

2021

Journal of Cleaner Production

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The development of economic activities and social progress index leads to the governmental considerations for the environmental challenge's issues. The Green Credit Policy (GCP) in China for manufacturing, as a part of a sustainable finance package, initiatives restrictions with suppliers to reduce harmful pollution for the environment. The study mainly validates the impact of GCP on manufacturing for diminishing the emerged pollution to the environment. The study develops Neutrosophic Multiple-Criteria Decision-Making Framework (N-MCDMF) according to neutrosophic theory and various MCDM methods of grey relational analysis (GRA), analytic network process (ANP), the Decision-Making Trial and Evaluation Laboratory technique (DEMATEL), and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to support the decision-makers with highly systematic procedures in the uncertain and inconsistent environmental conditions. The N-MCDMF evaluates the conditions of GCP and recommends the optimal Supply Chain Management (SCM) in manufacturing alternatives. A case study is presented for the validation of the issues of applicability and flexibility for the proposed N-MCDMF. The results obtained from the implementation of the N-MCDMF indicates the applicability and flexibility of the proposed approach. In addition, results show that SCM in manufacturing can provide more cooperation for the environment to reduce harmful pollution and to attain sustainability for achieving motivations under the restrictions of GCP.

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Section: Research Backgroundmentioning

confidence: 99%

A model for evaluating green credit rating and its impact on sustainability performance

Nabeeh

Abdel‐Basset

Soliman

2021

Journal of Cleaner Production

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“…Bhowmik et al [48] used TOPSIS to find the optimal green energy source. Rani et al [49] proposed a new divergence measure for ranking and choosing the renewable energy sources in MCDM problems based on the fuzzy TOPSIS approach to compare some existing methods. Lee and Chang [41] employed PROMETHEE to evaluate five different energy sources.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions

et al. 2020

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Energy systems planning commonly involves the study of supply and demand of power, forecasting the trends of parameters established on economics and technical criteria of models. Numerous measures are needed for the fulfillment of energy system assessment and the investment plans. The higher energy prices which call for diversification of energy systems and managing the resolution of conflicts are the results of high energy demand for growing economies. Due to some challenging problems of fossil fuels, energy production and distribution from alternative sources are getting more attention. This study aimed to reveal the most proper energy systems in Saudi Arabia for investment. Hence, integrated fuzzy AHP (Analytic Hierarchy Process), fuzzy VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje) and TOPSIS (Technique for Order Preferences by Similarity to Idle Solution) methodologies were employed to determine the most eligible energy systems for investment. Eight alternative energy systems were assessed against nine criteria—power generation capacity, efficiency, storability, safety, air pollution, being depletable, net present value, enhanced local economic development, and government support. Data were collected using the Delphi method, a team of three decision-makers (DMs) was established in a heterogeneous manner with the addition of nine domain experts to carry out the analysis. The fuzzy AHP approach was used for clarifying the weight of criteria and fuzzy VIKOR and TOPSIS were utilized for ordering the alternative energy systems according to their investment priority. On the other hand, sensitivity analysis was carried out to determine the priority of investment for energy systems and comparison of them using the weight of group utility and fuzzy DEA (Data Envelopment Analysis) approaches. The results and findings suggested that solar photovoltaic (PV) is the paramount renewable energy system for investment, according to both fuzzy VIKOR and fuzzy TOPSIS approaches. In this context our findings were compared with other works comprehensively.

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“…Use of this control approach became wider in engineering fields at the beginning of the 1990s [ 47 ]. Fuzzy controllers have also been using widely at renewable energy industry [ [48] , [49] , [50] , [51] ] and energy storage systems [ 52 ] since the 2010s. Specific studies have also used fuzzy controllers in direct [ 53 , 54 ] and indirect applications, such as scale controllers and hybrid system controllers in geothermal energy [ 21 , 24 ].…”

Section: Methodsmentioning

confidence: 99%

The importance of long-term well management in geothermal power systems using fuzzy control: A Western Anatolia (Turkey) case study

Haklidir

2020

Energy

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Effective geothermal power generation depends on two main elements: geothermal reservoir management and maintenance of the power plant. Reservoir management consists of both the fluid production and reinjection of brine to the underground. The management of wells is important to ensure the sustainability of the reservoir. Thus, the flow rate control systems are essential to protect geothermal reservoirs under long-term power production. The second issue is the daily change in electricity prices and the load change process is complex because geothermal well controls are not flexible operations. The well management thus requires control approaches, and fuzzy control can be one effective solution. In this study, a fuzzy control system has been developed to control flow rates of the wells in Kızıldere geothermal field and its performance has been compared with the real data taken from the Kızıldere Power Plant. The results of comparison show that the fuzzy controllers achieved the target energy production in 2 h instead of 5 h, compared to the real data. Based on the real data, the reinjection was only able to stabilize at the end of the fourth hour and the process took only 2 h when using the fuzzy controllers.

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A novel approach to extended fuzzy TOPSIS based on new divergence measures for renewable energy sources selection

Cited by 154 publications

References 84 publications

A model for evaluating green credit rating and its impact on sustainability performance

A model for evaluating green credit rating and its impact on sustainability performance

Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions

The importance of long-term well management in geothermal power systems using fuzzy control: A Western Anatolia (Turkey) case study

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