Optimising solar: A techno-economic assessment and government facility compensation framework power generation

Optimising solar: A techno-economic assessment and government facility compensation framework power generation

Navaid ALI, Faheem Ullah SHAIKH, Laveet KUMAR

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Abstract. In light of the necessity to meet growing energy demands while minimising expenses, this article examines two solar power system designs, considering peak and average load situations. The peak system, designed to handle a peak load of 190 MW with 260,568 PV panels installed, generates a significant excess of approximately 49,911 MWh annually. On the other hand, the average load design suggests a little deficit in energy. The monetary analysis reveals considerable capital expenditures for the total installation costs, totalling $58.77 million for an average system and $66.71 million for the peak system. However, the Levelized Cost of Energy (LCOE) rates are relatively competitive, at 0.0835 USD/kWh and 0.0736 USD/kWh respectively. Notably, the study highlights that the environmental impact analysis demonstrates a significant decrease in CO2 emissions, with the peak system achieving a reduction of up to 3,601,588 tonnes per year. This research has explicitly validated the capabilities of centralised solar power systems in addressing the current and future energy difficulties faced by the Government of Sindh in a sustainable and economically viable manner.

Centralized Solar PV System, CO2 Emissions Reduction, Government Facilities, HESCO, Pvsyst

Published online 7/15/2024, 10 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Navaid ALI, Faheem Ullah SHAIKH, Laveet KUMAR, Optimising solar: A techno-economic assessment and government facility compensation framework power generation, Materials Research Proceedings, Vol. 43, pp 345-354, 2024

DOI: https://doi.org/10.21741/9781644903216-45

The article was published as article 45 of the book Renewable Energy: Generation and Application

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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