Selection of an electricity tariff plan for mini-grid business models: an intuitionistic fuzzy axiomatic design approach
dc.contributor.author | Babatunde, O.M. | |
dc.contributor.author | Ighravwe, D.E. | |
dc.contributor.author | Oluseyi, P.O. | |
dc.contributor.author | Mashao, D. | |
dc.date.accessioned | 2020-07-02T15:44:35Z | |
dc.date.available | 2020-07-02T15:44:35Z | |
dc.date.issued | 2020-02-06 | |
dc.description.abstract | This article proposes a conceptual framework that used mini-gird business models (MBMs) to rank electricity tariff plans. The framework combines intuitionistic fuzzy set (IFS), Criteria Importance Through Inter-criteria Correlation (CRITIC), fuzzy axiomatic design (FAD) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). It considered when decision-makers specify or did not specify for MBM’s requirements. Also, this article considered uncertainty in decision-makers information. The framework applicability was showed using information obtained from Sub-Sahara Africa. Five decision-makers provided information for the model implementation based on a well-structured questionnaire. The CRITIC method results showed that least and most important MBM are community-based and private MBMs, respectively. The IFS-FAD method identified time-based electricity tariff plan as the best suitable for the case study, while the IFS-TOPSIS method identified flexible best electricity tariff plans for the case study, respectively. However, both methods identified flat-rate as the least suitable plan. The proposed framework will provide mini-grid business owners with relevant information for energy tariff selection. | en_US |
dc.identifier.uri | https://ir.unilag.edu.ng/handle/123456789/8510 | |
dc.language.iso | en | en_US |
dc.publisher | Springer Nature Singapore Pte Ltd. 2020 | en_US |
dc.subject | business model; CRITIC; energy tariff; IFS-FAD; IFS-TOPSIS | en_US |
dc.title | Selection of an electricity tariff plan for mini-grid business models: an intuitionistic fuzzy axiomatic design approach | en_US |
dc.title.alternative | Technology and Economics of Smart Grids and Sustainable Energy | en_US |
dc.type | Article | en_US |