Power and mass optimization of the hybrid solar panel and thermoelectric generators

Trevor Hocksun Kwan and Xiaofeng Wu

Applied Energy, 2016, vol. 165, issue C, 297-307

Abstract: The thermoelectric generator (TEG) has been widely considered as an electrical power source in many ground applications because of its clean and noiseless characteristics. Moreover, the hybrid photovoltaic cell and TEG (PV/TEG) system has also received wide attention due to its improved power conversion efficiency over its monolithic counterparts. This paper presents a study of the dynamics and the operation of the hybrid PV/TEG system in an outer space environment where a unified thermodynamic model of this system is presented. Moreover, the multi-objective NSGA-II genetic algorithm is utilized to optimize the design of the TEG both in terms of optimal output power and in terms of mass. Specifically, the design of the single stage and the two stage variant of the aforementioned TEG are considered. Simulation results indicate that the optimized PV/TEG system does indeed achieve better efficiencies than that of the monolithic counterparts. Furthermore, it is shown that the single stage TEG is more beneficial than the two stage TEG in terms of achieving optimal performance.

Keywords: Thermoelectric generator; Solar panel; NSGA-II genetic algorithm; Optimization; Hybrid PV/TEG system; Performance analysis (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (30)

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DOI: 10.1016/j.apenergy.2015.12.016

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