Integrated Approach to Address Future Energy Challenges: An Alternative to Conventional Energy System
Jayantilal N. Patel1, Shilpesh C. Rana2
1Dr. Jayantilal N. Patel, Department of Civil Engineering, SVNIT Surat, SURAT, India.
2Shilpesh C. Rana, Department of Civil Engineering, SVNIT Surat, SURAT, India.
Manuscript received on 01 April 2019 | Revised Manuscript received on 06 May 2019 | Manuscript published on 30 May 2019 | PP: 853-859 | Volume-8 Issue-1, May 2019 | Retrieval Number: A9247058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Hydro power and solar power is an important renewable source of energy. The objective of this study is to develop an integrated approach between hydro power and solar power for power generation. Economic analysis and the feasibility of small hydro power plant and solar system at three canal fall locations on Sakarda branch canal has been carried out. Economical analysis of hydro power plant includes design of hydro power plant, costing, estimation of benefit cost ratio and that of solar power includes estimation of benefit cost ratio considering erection of PV panels. Project life up to 25 years, 25 to 50 years and 50 to75 years is considered for analysis. It is concluded that for project life up to 25 years there is less difference between values of benefit cost ratio of hydro power system and integrated power system but after 25 years it increases, as only replacement cost of PV panels will affect the benefit cost ratio. For the project life 25 to 50 and 50 to 75 years benefit from the integrated power system percentage increase in benefit cost ratio is more than hydro power system hence it is concluded that integrated power system is better compared to only hydro power system on canal.
Key words: Benefit Cost Ratio, Solar Power, Integrated Power System, Small Hydro Power Project

Scope of the Article: Artificial Intelligence Approaches to Software Engineering