Abstract
Energy aggregation strategy is a long-term plan that resulted from the deregulation of the energy sector. It is a strategy where smaller companies and institutions come together to buy energy either from a fossil or renewable energy developer at smaller volumes, such that they are able to retain all the benefits of a high-volume purchase. Selecting smaller buyers, and the coordination of stakeholders from each company to meet their particular requirements and approvals, has remained the major challenges in the implementation of strategy. In this paper however, an integrated model that is based on the intuitionistic fuzzy VlseKriterijumska Optimizacija I KompromisnoResenje (IF-VIKOR) model and the dynamic intuitionistic fuzzy Einstein Geometric Averaging (DIFWGϵ) operator has been proposed for the selection of suitable energy partner from among a finite set to actualize an energy aggregation project. Furthermore, two existing multi-criteria models were used to validate the proposed model performances. Results from the evaluation shows that energy solution and integration (En2) company has the higher potential to be selected and incorporated for the actualization of the energy aggregation project.
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Data Availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
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Aikhuele, D.O., Ighravwe, D.E. & Akinyele, D.O. Hybrid Fuzzy Dynamic Model for the Evaluation of Energy Aggregation Strategy. Process Integr Optim Sustain 6, 931–941 (2022). https://doi.org/10.1007/s41660-022-00270-2
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DOI: https://doi.org/10.1007/s41660-022-00270-2