| نویسندگان | ابوالفضل طاهرزاده فینی,سید عبد المهدی هاشمی,ابوالفضل فتاحی |
| نشریه | ENERG CONVERS MANAGE |
| شماره صفحات | 115966 |
| شماره مجلد | 268 |
| ضریب تاثیر (IF) | 11.533 |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2022-09-15 |
| رتبه نشریه | علمی - پژوهشی |
| نوع نشریه | الکترونیکی |
| کشور محل چاپ | ایران |
| نمایه نشریه | JCR |
چکیده مقاله
The increasing energy demand and simultaneously growing concerns about pollution and climate change can
clarify the importance of energy recovery, especially in the transportation section where a huge amount of fossil
fuels is still consumed. Thermoelectric modules (TEMs) are one of the most stable means to extract energy from
flue gases. However, the heat recovery by TEMs require a precise thermo-hydrodynamic design for heat exchangers
to transfer more energy, owing to the low efficiency of the modules. Therefore, the current numerical
study follows the ideas that can increase the efficiency of electrical power generation in vehicles. Three various
simple or dimpled geometries, called Dual Flat, C-shaped, and U-shaped models, are introduced involving the
ideas of chaotic flows, extending heat transferring surfaces, and intensifying turbulence levels. The number of
TEMs is kept constant for all geometries and a trial procedure is performed to specify the thermo-physical
properties of TEMs, directly connected to their hot and cold side temperature. The results are compared to
the traditional Flat geometry, in terms of power generation, efficiency, and thermo-hydrodynamic evaluations.
Dual Flat and Flat geometry are respectively labeled as the most and least power generating models by 45%
relative difference. Despite the highest pressure drop, the chaotic flow in a C-shaped geometry provides the most
efficient case if the pressure drop is freely provided by the engine exhaust inertia, while dimpled Dual Flat
geometry is ranked the first for best efficiency when pressure drop compensation needs additional cost. The latter
geometry can produce nearly 700 W power, as the maximum value.