Second-Law Analysis and Exergoeconomics Optimization of a Solar Tower–Driven Combined-Cycle Power Plant Using Supercritical
Publication: Journal of Energy Engineering
Volume 144, Issue 3
Abstract
This paper presents a framework for the first and second law analysis and an exergoeconomic optimization of a solar tower power plant using supercritical , integrated with a combined cycle for electricity production. The system’s energy and exergy losses are analyzed to ascertain possible thermodynamic improvement locations. The various design parameters along with direct normal irradiance (DNI) and concentration ratio are considered. Each component of the combined cycle is evaluated to test their energy and exergy performances. The receiver system recorded the highest exergy loss compared with the rest of the system. The levelized energy cost of and payback of 10 years proves the economic viability of the design. The optimal design parameters for minimum cost are obtained using the thermoeconomic method. The objective function representing the total cost of the power plant ($/h) is defined as the sum of the operating cost, investment cost of purchased equipment, and maintenance costs. Subsequently, various parts of the objective function are expressed as decision variables and the optimum values of these variables are obtained by minimizing the investment cost and the cost associated with exergy destruction using the genetic algorithm.
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Acknowledgments
Authors appreciate Dr. Mustafa Dagbasi for providing useful meteorological information for the island of Cyprus and to all reviewers for their useful comments.
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Published In
Journal of Energy Engineering
Volume 144 • Issue 3 • June 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Jun 1, 2017
Accepted: Oct 24, 2017
Published online: Mar 14, 2018
Published in print: Jun 1, 2018
Discussion open until: Aug 14, 2018
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