The comprehensive evaluation of renewable energy system schemes in tourist resorts based on VIKOR method

Zheng, Guozhong; Wang, Xiao

doi:10.1016/j.energy.2019.116676

Cited by 48 publications

(14 citation statements)

References 27 publications

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“…Zheng et al [16] explained VIKOR method for selection of renewable energy system schemes in tourists''' resorts by using nine attributes viz: investment cost, annual operation cost, land demand, noise impact, ecological impact, coordination with external environment, service life, energy supply stability, energy efficiency. Ecological impact, coordination with external environment, service life, energy supply stability, energy efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

Selection of Electric Vehicle Battery using Multi Attribute Decision Making Methods

Shinde¹,

Bendre²,

Kundargi³

et al. 2023

Preprint

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An electric vehicle battery has a great ability to power a vehicle, being able to be used in everything from cars to busses. A Battery in an electric vehicle is one of the most important parts which makes the vehicle function, moreover electric vehicles are used for no carbon emission and for environment protection. For the selection of the best battery possible for an electric vehicle is most important task for the bright future. To decide the best battery for electric vehicles, use multi criteria decision making method, by taking few important and basic specifications of a vehicle battery like Life span of the battery, Efficiency, Durability, Recharge time, Temperature dependence, cost and weight. The present work done here gives us the best possible way of battery selection possible for electric vehicle using methods like, Analytical hierarchy process, Technique for order performance by similarity to ideal solution, Complex Proportional Assessment and VlseKriterijumska Optimizacija I Kompromisno and the finally ranking the batteries.

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Section: Literature Reviewmentioning

confidence: 99%

Selection of Electric Vehicle Battery using Multi Attribute Decision Making Methods

Shinde¹,

Bendre²,

Kundargi³

et al. 2023

Preprint

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“…(2019) , adopted the TOPSIS method to rank the factors affecting medical tourism in Malaysia. Zheng and Wang (2020) developed an evaluation criterion framework for the renewable energy system, which includes three primary criteria and nine sub-criteria. They ranked the renewable energy system schemes with the VIKOR approach.…”

Section: Background and Related Workmentioning

confidence: 99%

Financial performance evaluation by multi-criteria decision-making techniques

Türegün

2022

Heliyon

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“…In the studies using MCDA, the widely employed methods include the Best-Worst Method (BWM) [43][44][45], Analytic Hierarchy Process (AHP) [46][47][48], Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE)-I and II [49][50][51][52], VlseKriterijumska Optimizacija I KOmpromisno Resenje (VIKOR) [53][54][55], Elimination and Choice Translating Reality (ELECTRE) [56,57], Decision making trial and evaluation laboratory (DEMATEL) [58][59][60], and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) [61][62][63]. Further, the studies that deal with qualitative attributes utilize fuzzified MCDA approaches such as Fuzzy AHP [64,65], Fuzzy TOPSIS [66,67], and many others.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of Clean Energy Transition Potential in Major Power-Producing States of India Using Multi-Criteria Decision Analysis

Indrajayanthan¹,

Mohanty²

2022

Sustainability

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India has an ambitious target to promote clean energy penetration, but as of 2021, the electricity mix of India is dominated by coal to about 71%. Therefore, analyzing the clean energy potential and the ability of the individual states to entrench energy transition in the upcoming years will be supportive for policymakers. This study is propounded to assess the clean energy transition potential with a focused analysis on seven major power-producing states of India. These states include Maharashtra, Gujarat, Tamil Nadu, Uttar Pradesh, Karnataka, Madhya Pradesh, and Andhra Pradesh. The clean energy transition potential assessment is performed by utilizing multi-criteria decision analysis methodologies such as the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Multi-Objective Optimization Method by Ratio Analysis (MOORA). Further, the analysis is performed against four major criteria that include high carbon energy resource dependency, low carbon energy resource dependency, clean energy potential, and policy support. Altogether, the assessment criteria include four primary level criteria and fourteen secondary level parameters. In order to reflect the significance of each parameter and criterion to the characteristics of clean energy transition potential, appropriate weightage is provided using the Fuzzy Analytic Hierarchy Process (AHP). The results indicate that Gujarat has the highest clean energy transition potential in both the multi-criteria decision analysis methods. On the other hand, Uttar Pradesh exhibited the least performance, and a complete energy transition to clean energy resources is less likely in this state. The rest of the states obtained intermediate ranking, and a comparative analysis between the two methods was also accomplished. This study suggests that India should focus on the clean energy policy with vigorous efforts on top-performing states which will effectively accelerate the power sector decarbonization.

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The comprehensive evaluation of renewable energy system schemes in tourist resorts based on VIKOR method

Cited by 48 publications

References 27 publications

Selection of Electric Vehicle Battery using Multi Attribute Decision Making Methods

Selection of Electric Vehicle Battery using Multi Attribute Decision Making Methods

Financial performance evaluation by multi-criteria decision-making techniques

Assessment of Clean Energy Transition Potential in Major Power-Producing States of India Using Multi-Criteria Decision Analysis

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