Optimization of a Dish Stirling system working with DIR-type receiver using multi-objective techniques

Gaylord Enrique Carrillo Caballero, Luis Sebastian Mendoza, Arnaldo Martin Martinez, Electo Eduardo Silva, Vladimir Rafael Melian, Osvaldo José Venturini and Oscar Almazán del Olmo

Applied Energy, 2017, vol. 204, issue C, 286 pages

Abstract: Stirling engine driven by solar energy for thermal to electricity conversion is one of the most promising solution of renewable technologies to reduce the dependency from fossil fuels. Unfortunately, the lack of data about the performance and some operational parameters of this technology limited its detailed characterization and sizing. This paper presents a modeling and simulation of a Dish Stirling system working with DIR receiver (Directly Illumined Receiver), to determine its energy production and efficiency, having Itajubá a city in MG/Brazil, as case of study. Mathematical model allows determine the influence of concentrator’s parameters on overall system efficiency. Opto-geometric and transfer processes, in concentrator-receiver system are modeled in detail, and this analysis is used to develop a thermal balance of the Dish Stirling system, to determine operation parameters like: operating temperature of receiver, receiver thermal heat losses, receiver efficiency, global thermal efficiency and electrical power generated by the system. Also procedure described in this article allows to develop a sensitivity analysis for some parameters as: solar irradiation, collector diameter, wind speed and tilt angle of the cavity. Multi-objective optimization based on NSGA-II algorithm has been employed to optimize the power and the efficiency of the system, by means of integration of Dish Stirling mathematical model in Modefrontier.

Keywords: Dish Stirling; Solar energy; DIR receiver; Heat losses; Optimization; Electricity (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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DOI: 10.1016/j.apenergy.2017.07.053

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