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IJSTR >> Volume 9 - Issue 12, December 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Inventory Analysis Of Power Plants In Rwanda And Estimated Generation Capacities

[Full Text]

 

AUTHOR(S)

Eustache Hakizimana, Diego Sandoval, U. G. Wali, Kayibanda Venant

 

KEYWORDS

Renewable energy technology, Non-Renewable energy technology and inventory analysis

 

ABSTRACT

This study presents the findings of an inventory assessment of all power stations in Rwanda. The main objective is to investigate the operational and planned production of power plants and their surrounding environment, and to support the development of plant performance, and to recognize the characteristics of these structures from the energy technology perspective. Five different (operational / proposed) power generation systems such as hydropower, biomass, methane gas (phase I of Kivuwatts), thermal power plants (diesel and heavy fuel generators), and solar power plants were examined in this study. The electricity generated from each power plant was taken from the systems using a combined process analysis method and analysis of the input / output. First, average power generation systems representing the current status had been introduced in Rwanda. Second, we examined the effects of current clean energy technologies as well as potential ones. The inventory assessment of the power plant was carried out on the current and planned interconnectors, the results of this study show that the most dominant power plants, including water, sunlight, methane at the bottom of Lake Kivu and peat reserves in the southern province, are mainly serviced by diesel power plants during peaks and seasonal input from major hydroelectric power stations on the grid. The difference between power generation costs and electricity prices is high, and the availability is reduced. As a result of this analysis, in order to help decision-makers, all the influential performances of electricity generation based on existing resources and their shares.

 

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