Optimal mix of a solar, wind, and fuel cell hybrid residential system

Chehab, Khalil
Nowadays, supplying electrical power using renewable energy systems faces problems due to the high cost and unreliability of those systems. With the variability of renewable energy sources, a possible way to provide electricity is by combining different renewable sources in one hybridized system. This study is about optimizing and testing the feasibility of different hybridized systems including solar, wind, and fuel cell systems. The study will include on-grid and off-grid optimal solutions for a case study in Middle East Technical University (Northern Cyprus Campus) on a residential scale for a typical household on this isolated island. The case will include models of solar panels, wind turbines, and fuel cell systems of different sizes and power outputs to result in an optimal combination showing the Levelized Cost of Electricity, Net Present Cost, and electricity production of each of the renewable sources. Equations from the methodology are inputted into HOMER Software and the software does thousands of simulations to come up with the optimal result. The lowest LCOE results for an off-grid solar/wind/fuel cell system is 0.3418 $/kWh, and lowest LCOE for an on-grid is 0.118 $/kWh with only a solar panel and the electricity grid. However, more cost and location assumptions are made throughout the research to yield in different LCOEs. Emissions are also taken into consideration in this study with penalties for carbon dioxide. Since this is a study on a household demand, the emissions per year are not as high as large-scale electricity production.


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Citation Formats
K. Chehab, “Optimal mix of a solar, wind, and fuel cell hybrid residential system,” M.S. - Master of Science, Middle East Technical University, 2018.