Selection of an electricity tariff plan for mini-grid business models: an intuitionistic fuzzy axiomatic design approach

dc.contributor.authorBabatunde, O.M.
dc.contributor.authorIghravwe, D.E.
dc.contributor.authorOluseyi, P.O.
dc.contributor.authorMashao, D.
dc.date.accessioned2020-07-02T15:44:35Z
dc.date.available2020-07-02T15:44:35Z
dc.date.issued2020-02-06
dc.description.abstractThis 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.urihttps://ir.unilag.edu.ng/handle/123456789/8510
dc.language.isoenen_US
dc.publisherSpringer Nature Singapore Pte Ltd. 2020en_US
dc.subjectbusiness model; CRITIC; energy tariff; IFS-FAD; IFS-TOPSISen_US
dc.titleSelection of an electricity tariff plan for mini-grid business models: an intuitionistic fuzzy axiomatic design approachen_US
dc.title.alternativeTechnology and Economics of Smart Grids and Sustainable Energyen_US
dc.typeArticleen_US
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