Selection of a mini-grid business model for developing countries using CRITIC-TOPSIS with interval type-2 fuzzy sets

Ighravwe, Desmond Eseoghene; Babatunde, Moses Olubayo

doi:10.5267/j.dsl.2018.1.004

Cited by 27 publications

(7 citation statements)

References 41 publications

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“…Business models' frameworks for mini-grid in developing countries, using Nigeria as a case study, are proposed in [113], considering four business models: government, private, public-private, and community-based. Two frameworks were proposed, "Technique for Order Performance by Similarity to Ideal Solution" (TOPSIS) and "Weighted Aggregated Sum Product Assessment" (WASPAS).…”

Section: Business Models In Developing Countriesmentioning

confidence: 99%

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Business Model of Peer-to-Peer Energy Trading: A Review of Literature

et al. 2022

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Peer-to-peer (P2P) energy trading is a promising energy trading mechanism due to the deployment of distributed energy resources in recent years. Trading energy between prosumers and consumers in the local energy market is undergoing massive research and development, paying significant attention to the business model of the energy market. In this paper, an extensive review was conducted on the current research in P2P energy trading to understand the business layer of the energy market concerning business model dimensions: bidding strategies and the market-clearing approach. Different types of game theoretical-based and auction-based market-clearing mechanisms are investigated, including a detailed classification of auctions. This study considers the possibility of employing the P2P technique in developing countries and reviewing existing business models and trading policies. The business layer of the P2P structure plays a vital role in developing an effective trading mechanism based on interactive energy markets.

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Section: Business Models In Developing Countriesmentioning

confidence: 99%

“…This figure is built based on the included papers, and they have been considered as the core of literature classification. [1,[7][8][9]12,18,23,25,26,[29][30][31][32]37,40,[43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][98][99][100][101][102][103][104][105][107][108][109][110][111][112][113].…”

Section: Future Workmentioning

confidence: 99%

Business Model of Peer-to-Peer Energy Trading: A Review of Literature

et al. 2022

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“…TOPSIS Despite the improvements in multi-criteria tools, -TOPSIS method ease of application, and best and worst solutions consideration continues to increase its acceptance among (37) Fuzzy-AHP Construction management Ighravwe and Oke (29) Fuzzy-entropy method Maintenance management Sremac et al (38) SWARA Logistic management Alam et al (39) Fuzzy AHP Service providers -ITC researchers (40). Because of this, literature in different disciplines, such as engineering, management, science and others, show the results that are generated using TOPSIS (28,40). While this sound interesting, there is a need to jump-start to apply TOPSIS in LFG analysis because other energy domains (e.g.…”

Section: Make Inferencementioning

confidence: 99%

Evaluation of landfill gas plant siting problem: a multi-criteria approach

Ighravwe

Babatunde

2019

Environ Health Eng Manag

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Background: Landfill activities have environmental and economic values to a community. While the former deals with the control of landfill gas (LFG) emission into the atmosphere, the latter deals with the conversion of LFG to clean energy and subsequently, wealth creation. To fully harness these benefits, LFG plants must be well sited in a community, and this can be achieved when proper techno-economic analysis has been carried out. This will not only justify the LFG plants investment cost, but it will also guarantee their sustainability. Methods: This study presented a framework that ranks and selects LFG project for a community. First, numerical expressions were used to evaluate the techno-economic and environmental requirements of the project sites, then, the importance of these requirements was determined using Criteria Importance Through Inter-criteria Correlation (CRITIC) method. The sites were ranked using grey relational analysis (GRA) and Weighted Aggregated Sum-Product Assessment (WASPAS) method. An illustrative example of the proposed framework was presented using real-world dataset from different communities in Nigeria. Finally, four LFG project sites were ranked using four environmental criteria, five technical criteria, and eight economic criteria. Results: The results of WASPAS were verified by comparing them with the results of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and axiomatic design (AD) methods. It was observed that the results of both methods were the same for the different LFG sites. Conclusion: According to the results, it is obvious that this study will be useful to policy-makers and investors in LFG business, while the former could seek for plants’ sustainability, the latter interest will be on the payback period of their investment.

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“…However, there is sparse information on the aggregation of experts' judgment for a non-residential building. For instance, the benefit of using multicriteria tools in energy study was demonstrated by Ighravwe and Babatunde (2018). They attempt to identify a renewable energy business model for developing countries.…”

Section: Literature Reviewmentioning

confidence: 99%

A fuzzy-TOPSIS approach for techno-economic viability of lighting energy efficiency measure in public building projects

Abdulsalam¹,

Ighravwe²,

Babatunde³

2018

10.5267/j.jpm

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Retrofitting technologies have helped to manage energy consumptions in residential, public and industrial buildings. However, understanding of the technical and economic considerations for selection of appropriate retrofitting technology is still evolving and divergent. Thus, this study presents a framework that combines techno-economic requirements as a means for evaluating the important retrofitting criteria and suitable lighting retrofit technologies for building projects. The framework is hinged on the unique features of entropy fuzzy and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) methods. The analysis of the lighting technology selection was performed from technical, economic and techno-economic perspectives. During the application of the proposed framework, four lighting technologies (CFL, T5, E-ballast and T8-electronic) and nine techno-economic criteria were considered. The most and least important techno-economic criteria for the case study were net present value and electricity saved, respectively. The least and most suitable retrofitting technologies were T8-electronic and CFL, respectively, from techno-economic perspective. T5 and T8-electronic were identified as the most suitable lighting technologies from an economic and technical perspectives, respectively. This discrepancy in the results justified the need for the techno-economic approach for the retrofitting technologies evaluation.

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Selection of a mini-grid business model for developing countries using CRITIC-TOPSIS with interval type-2 fuzzy sets

Cited by 27 publications

References 41 publications

Business Model of Peer-to-Peer Energy Trading: A Review of Literature

Business Model of Peer-to-Peer Energy Trading: A Review of Literature

Evaluation of landfill gas plant siting problem: a multi-criteria approach

A fuzzy-TOPSIS approach for techno-economic viability of lighting energy efficiency measure in public building projects

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