Enhancing the performance of a thermo-electric generator through multi-objective optimisation of heat pipes-heat sink under natural convection. (1st April 2020)

• Record Type: Journal Article
• Authors: Elghool, Ali; Basrawi, Firdaus; Ibrahim, Hassan; Ibrahim, Thamir Khalil; Ishak, M.; Yusof, T.M.; Bagaber, Salem Abdullah
• Is Part Of: Energy conversion and management. Volume 209(2020)
• Publication Date: 2020-04-01
• Subjects: Thermo-Electric Generator -- Heat Pipe Heat Sink -- Multi-objective optimisation; Direct energy conversion -- Periodicals; Energy storage -- Periodicals; Energy transfer -- Periodicals; Énergie -- Conversion directe -- Périodiques; Direct energy conversion; Periodicals; 621.3105
• DOI: 10.1016/j.enconman.2020.112626
• Languages: English
• ISSNs: 0196-8904

Abstract

Graphical abstract: Highlights: Multi-objective optimisation on heat pipe-heat sinks with TEG is investigated. The heat pipe-heat sinks optimized parameters are obtained. Contribution of each factor on TEG performance is achieved. TEG efficiency is improved by 36.7% compared with previous results. Abstract: Heat sink lack of design is one reason that negatively affects the performance of Thermo-Electric Generator (TEG). As compared to conventional cooling systems used with TEG, Heat Pipe Heat Sink (HP-HS) has various points of interest. It is the most appropriate heat exchanger for medium temperature range under 300 °C. However, the performance of TEG with HP-HS could be affected by the fin space, fin length, fin height, fin materials and optimum geometry of HP-HS of the TEG cold side, which is still unknown. Thus, the aim of this study is to conduct an analytical and statistical study on the effects of fins space, fins length, fins height and fin materials parameters on the performance of TEG. In addition, the optimum geometry of HP-HS was investigated. The experimental study has been carried out with different dimensions of fin space, fin length and fin height, depending on the range determined based on previous studies. Besides, two materials were used namely aluminum (AL) and copper (CO). The multi-objective optimisation using response surface methodology (RSM) is applied to determine the optimum geometry of HP-HS to maximise the TEG power output ( P ), TEG efficiency ( η ), and to minimise HP-HS cost ( $ ). The responses developed models were determined to be significant at 95% confidence level. It was found that an improvement in TEG performance as compared to literature was achieved. The maximum P and η after optimisation were 8.2 W and 3%, respectively. The percentage difference of TEG η as compared with the best previous results were, 36.7% . In addition, the CO HP-HS was found to be preferred over AL because of its lower costs per power output. CO was 8.75 USD/W, whilst, AL was 10.13 USD. Finally, this study shows an improvement in HP-HS cost, a reduction by 17.9% was achieved when compared with the estimated HP-HS cost in literature.