Dublin Core
Title
Economic and reliability determination of sustainable renewable energy mix based on social spider prey optimization algorithm
Creator
Samuel Ofori Frimpong, Israel Edem Agbehadji, Abdultaofeek Abayomi, Richard C Millham, Emmanuel Freeman, Martin Mabeifam Ujakpa
Description
Resolving the power crises requires the combination of different individual renewable energy sources so that one source can compensate for another. Unfortunately, renewable energy sources are not always available at certain times making their use problematic. To solve this uncertainty, it is important to combine independent renewable energy sources and determine the right set of the renewable energy mix that is economical and reliable. The sources of renewable energy data are solar PV, wind, battery, and biomass. Different scenarios of renewable energy mix or combination considered are wind–biomass–battery, solar PV–wind–biomass, PV–biomass–battery, and solar PV–wind–biomass–battery. Knowing the economic and reliable impact of these combinations helps to make the best investment decision. The nature-inspired optimization is utilized as the methodology to determine the feasible dimension …
Publisher
Springer Berlin Heidelberg
Date
2023
Source
https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:KlAtU1dfN6UC
Language
English