A review of hybrid renewable energies optimisation: design, methodologies, and criteria

Autor: Olalekan Kunle Ajiboye, Chimere Victor Ochiegbu, Eric Antwi Ofosu, Samuel Gyamfi
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: International Journal of Sustainable Energy, Vol 42, Iss 1, Pp 648-684 (2023)
Druh dokumentu: article
ISSN: 1478-6451
1478-646X
14786451
DOI: 10.1080/14786451.2023.2227294
Popis: Over the years, several achievements have been made in power generation and optimising hybrid renewable energy systems (HRES) to achieve nature conservation, achieve energy security, and reduce carbon emissions. However, there are many complexities in Renewable energy (RE) conversion, sizing, design, and implementation, that require optimisation techniques to achieve optimal results in terms of reliability, cost, and environmental protection over time. This paper presents an overview of research trends in Optimization methods in HRES which are classified into modern and conventional methods. These two classifications are further divided into control methods, Artificial intelligence, Iterative and mathematical operations. However, all mentioned techniques have inherent advantages and disadvantages which will be discussed in this survey. In addition, the review paper explored different types of research in computing intelligence (CI), an aspect of Artificial Intelligence (AI) that involves the development of nature-inspired algorithms for optimisation. Finally, general optimisation criteria, system sizing methods used in RES, Mathematical modelling of RES, and gaps for future work to achieve sustainability were also presented.
Databáze: Directory of Open Access Journals
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