Selection of an electricity tariff plan for mini-grid business models: an intuitionistic fuzzy axiomatic design approach
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Date
2020-02-06
Authors
Babatunde, O.M.
Ighravwe, D.E.
Oluseyi, P.O.
Mashao, D.
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Nature Singapore Pte Ltd. 2020
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.
Description
Keywords
business model; CRITIC; energy tariff; IFS-FAD; IFS-TOPSIS