Review of Researches on Techno-Economic Analysis and Environmental Impact of Hybrid Energy Systems

Akorede, M. F., Oladeji, A. S., Ariyo, B. O., Omeiza, I. O. A. and Marzband, Mousa (2020) Review of Researches on Techno-Economic Analysis and Environmental Impact of Hybrid Energy Systems. Jordan Journal of Electrical Engineering, 6 (2). p. 78. ISSN 2409-9600

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Official URL: https://doi.org/10.5455/jjee.204-1589458540

Abstract

Hybrid energy systems, which are combinations of two or more renewable and non-renewable energy sources, have been identified as a viable mechanism to address the limitations of a single renewable energy source, utilized for electricity generation. In view of this, several research works have been carried out to determine the optimal mix of different renewable and non-renewable energy resources used for electricity generation. This paper presents a comprehensive review of the optimization approaches proposed and adopted by various authors in the literature for optimal sizing of hybrid energy systems. It is observed that the objective functions - considered by a large percentage of researchers to optimize the sizing of hybrid energy systems - are cost minimization of the generated electricity, system reliability enhancement and environmental pollution reduction. Other factors covered in the literature are equally discussed in this article. Similarly, simulation and optimization software used for the same purpose are covered in the paper. In essence, the main aim of this paper is to provide a scope into the works that have been carried out in the field of hybrid energy systems, used for electricity generation with the view to informing researchers and members of the public alike, on trends in methods applied in optimal sizing of hybrid energy systems. It is believed that the information provided in this paper is very crucial in advancing research in the field.

Item Type: Article
Uncontrolled Keywords: Hybrid energy systems; Electricity generation; Techno-economic analysis; Environmental impact; Cost of energy; Emissions; Optimization algorithms.
Subjects: F300 Physics
H600 Electronic and Electrical Engineering
H800 Chemical, Process and Energy Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Elena Carlaw
Date Deposited: 15 Jun 2020 08:15
Last Modified: 15 Jun 2020 08:15
URI: http://nrl.northumbria.ac.uk/id/eprint/43439

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