期刊论文详细信息
Energies
Dynamic Simulation and Exergo-Economic Optimization of a Hybrid Solar–Geothermal Cogeneration Plant
Francesco Calise2  Davide Capuano1  Laura Vanoli1 
[1] Department of Engineering, University of Naples “Parthenope”, Centro Direz. IS.C4, 80143 Naples, Italy; E-Mail:;Department of Industrial Engineering, University of Naples Federico II, P.leTecchio 80, 80125 Naples, Italy; E-Mail:
关键词: solar energy;    geothermal energy;    Organic Rankine Cycle;    dynamic simulation;    off-design performance;    exergo-economic optimization;   
DOI  :  10.3390/en8042606
来源: mdpi
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【 摘 要 】

This paper presents a dynamic simulation model and a parametric analysis of a solar-geothermal hybrid cogeneration plant based on an Organic Rankine Cycle (ORC) powered by a medium-enthalpy geothermal resource and a Parabolic Trough Collector solar field. The fluid temperature supplying heat to the ORC varies continuously as a function of the solar irradiation, affecting both the electrical and thermal energies produced by the system. Thus, a dynamic simulation was performed. The ORC model, developed in Engineering Equation Solver, is based on zero-dimensional energy and mass balances and includes specific algorithms to evaluate the off-design system performance. The overall simulation model of the solar-geothermal cogenerative plant was implemented in the TRNSYS environment. Here, the ORC model is imported, whereas the models of the other components of the system are developed on the basis of literature data. Results are analyzed on different time bases presenting energetic, economic and exergetic performance data. Finally, a rigorous optimization has been performed to determine the set of system design/control parameters minimizing simple payback period and exergy destruction rate. The system is profitable when a significant amount of the heat produced is consumed. The highest irreversibilities are due to the solar field and to the heat exchangers.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.

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