Manuscript Number : IJSRST1738188
Optimization of Renewable Energy Systems: A Review
Authors(2) :-Diriba Kajela, Mukhdeep Singh Manshahia In the contrary of decrease of fossil energy nowadays, the demand of energy, the global warming, and continuous increase in oil prices have got attention all over the world. Since without energy life is an imaginary, the newly emerging renewable energy technologies are hope fully at least minimizing the problem that comes from the shortage of energy or an imbalance of distribution of energy among countries and within a country. To satisfy the need for power, hybrid renewable energy system is becoming an emerging and widely under application for electrification of remote rural areas where the grid extension is difficult and not economical in the past few decades all over the world. These systems incorporate a combination of one or more renewable energy sources such as solar photovoltaic, wind energy, micro-hydro, biomass energy, geothermal and may be conventional generators for backup. This survey paper compiles renewable energy systems with their advantages and limitations, hybrid wind and solar energy systems with different system components of hybrid energy system, provides detailed review of work done for optimization of renewable energy systems and give gap analysis to develop a general model to find an optimal combination of energy components for a typical rural community for minimizing the total net present cost of the system through the life time of the project. The highlights of the components and some simulation technique tools are also discussed.
Diriba Kajela Renewable Energy, Wind Energy, Solar Energy, Hybrid Renewable Energy System, Optimization. Publication Details
Published in : Volume 3 | Issue 8 | November-December 2017 Article Preview
Department of Mathematics, Madda Walabu University, Robe Bale, Ethiopia
Mukhdeep Singh Manshahia
Department of Mathematics, Punjabi University Patiala, Punjab, India
Date of Publication : 2017-12-31
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 769-795
Manuscript Number : IJSRST1738188
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST1738188
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