Multi-Criteria Decision Analysis for user satisfaction-induced demand-side load management for an institutional building

Elavarasan, Rajvikram Madurai; Leoponraj, S.; Vishnupriyan, J.; Dheeraj, Ajay; Sundar, G. Gangaram

doi:10.1016/j.renene.2021.01.134

Cited by 39 publications

(12 citation statements)

References 47 publications

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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. All these MCDA methods can be typically categorized as value measurement models; goal, aspiration, and reference level models; and outranking models [68].…”

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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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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“…This method yields quality judgements and effectively deals with the uncertainties involved ( Beikkhakhian, Javanmardi, Karbasian, & Khayambashi, 2015 ; Lima Junior et al, 2014 ) and has been implemented in many real-world practical cases. Fuzzy TOPSIS methodology is already applied in the domains of electric vehicles ( Rajak & Shaw, 2019 ), business ( Samaie, Meyar-Naimi, Javadi, & Feshki-Farahani, 2020 ), environmental analysis ( Onu, Quan, Xu, Orji, & Onu, 2017 ), demand-side management ( Madurai Elavarasan, Leoponraj, Vishnupriyan, Dheeraj, & Gangaram Sundar, 2021 ) and mobile health application ( Wu, Liu, & Liu, 2018 ). As a whole, this hybrid methodology of the SWOT-Fuzzy TOPSIS approach will highlight the best pathway to deal with the post-pandemic scenario to direct towards sustainable cities.…”

Section: An Indispensable Way To Sustainable Cities In the Post-pandemic Period: Swot-fuzzy Topsis Analysismentioning

confidence: 99%

A hover view over effectual approaches on pandemic management for sustainable cities – The endowment of prospective technologies with revitalization strategies

Elavarasan

Pugazhendhi

Shafiullah

et al. 2021

Sustainable Cities and Society

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“…Two levels of user satisfaction are defined, i.e. time-based satisfaction and device-based satisfaction (Elavarasan et al, 2021). Time-based satisfaction refers to the satisfaction difference when using the same appliance during different time slots.…”

Section: Introductionmentioning

confidence: 99%

Consumer satisfaction-oriented residential appliance scheduling algorithms

Zhang

Fang

2021

Systems Science & Control Engineering

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Through effective demand side management, residential energy consumers can enjoy both lower electricity bills and satisfactory electricity-consuming experiences. Lots of residential appliance scheduling algorithms have been proposed, and consumer satisfaction has attracted more and more attention. In this paper, the consumer satisfaction index is defined, and AHP (Analytic Hierarchy Process) is applied to describe the consumer sensitivity to the usage time of each appliance. The time and appliance models are constructed, by use of which the minimum electricity bill model is set up. Based on these models, the consumer satisfaction-oriented residential appliance scheduling algorithm is developed. A case study shows that the new algorithm can help consumers cut down the electricity bill and use the appliances at their favourite time slots. Compared with the consumer's original energy usage scheme, the optimized scheme reduces the electricity bill by 33.56%. At the same time, the Peak-to-Average Ratio can be lowered by 5.26%.

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Multi-Criteria Decision Analysis for user satisfaction-induced demand-side load management for an institutional building

Cited by 39 publications

References 47 publications

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

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

A hover view over effectual approaches on pandemic management for sustainable cities – The endowment of prospective technologies with revitalization strategies

Consumer satisfaction-oriented residential appliance scheduling algorithms

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