Thermoelectric Generation Using Diesel Engine Exhaust Waste Heat

Author(s):  
Kelly Austin ◽  
Xin (James) She ◽  
John Wagner

In the transportation industry, the need to improve powertrain efficiency and provide additional power to the many amenities has encouraged research on engine waste heat recovery. Approximately one-third of the gasoline or diesel fuel energy passes through the engine’s exhaust system as heat. With ongoing developments in thermoelectric materials and module design, thermoelectric power generation has a potential use in engine heat recovery. In this study, the capability of generating usable power by thermoelectric generation from the exhaust heat of a three-cylinder, 697 cubic centimeter diesel engine was investigated. From experimental testing, the maximum power output and maximum current for a single module and four modules connected in series was 0.49W with 0.437A, and 2.81W with 0.60A, respectively. To harvest larger power magnitude from the waste heat, the modules will be configured in a co-axial manner along the pipe. Other possible applications include stationary power generation systems in which added weight does not effect overall performance.

2015 ◽  
Vol 8 (2) ◽  
pp. 227-238 ◽  
Author(s):  
Aimon Allouache ◽  
Smith Leggett ◽  
Matthew J. Hall ◽  
Ming Tu ◽  
Chad Baker ◽  
...  

Author(s):  
Moslem Yousefi ◽  
Danial Hooshyar ◽  
Joong H Kim ◽  
Marc A Rosen ◽  
Heuiseok Lim

Nearly 30% of the input energy to a diesel engine is wasted through the exhaust gas; thus, considerable attention has been directed toward developing efficient heat recovery systems for these engines. Given the demonstrated ability of nanofluids to boost the heat transfer rate of heat exchangers, these heat transfer fluids merit consideration for use in diesel exhaust heat recovery systems. In this study, the effects of employing nanofluids on the optimum design of these systems are investigated. An existing heat diesel engine exhaust heat recovery system is modeled to work with Al2O3/water and a modified imperialist competitive algorithm is employed for the optimization. Seven variables consisting of five heat exchanger geometric characteristics together with nanoparticle volume fraction and coolant mass flow rate are considered as design variables. The heat exchanger cost and charging rate of the storage tank are optimization objectives, while the greenhouse gas savings of the heat recovery system are assessed for measuring the environmental impact of the energy recovery. The results indicate that the proposed approach can overcome the challenge of finding the near-optimal design of this complex system and using nanofluids enhances the performance of the heat recovery heat exchanger.


2011 ◽  
Vol 201-203 ◽  
pp. 600-605 ◽  
Author(s):  
Hong Guang Zhang ◽  
Hong Liang ◽  
Xing Liu ◽  
Bin Liu ◽  
Yan Chen ◽  
...  

According to the analysis of heat balance, about 1/3 of the fuel combustion heat is taken away into the ambience by exhaust gas of diesel engine. In this article, to improve the using level of the fuel’s combustion heat, a two stage single screw expander organic Rankine cycle (ORC) system has been used to recover the waste heat from exhaust gas of a certain turbine diesel engine. In this article, physical model of the recovery system was built at first, then the T-S curve was drawn, at last, REFPROP was used to calculate thermodynamics parameter in different state point of this system, and analyze the whole system’s thermodynamics character. By analyzing, the evaporation temperature of this system should be optimized to get the relatively evaporation press; by calculating, it could be seen that the middle heater in this system should be taken away to improve the economy of this scheme. This scheme should supply a direction for the exhaust heat recovery of diesel engine.


2021 ◽  
Vol 234 ◽  
pp. 113947
Author(s):  
Alexandre Persuhn Morawski ◽  
Leonardo Rodrigues de Araújo ◽  
Manuel Salazar Schiaffino ◽  
Renan Cristofori de Oliveira ◽  
André Chun ◽  
...  

2015 ◽  
Vol 8 (2) ◽  
pp. 209-226 ◽  
Author(s):  
Takuya Yamaguchi ◽  
Yuzo Aoyagi ◽  
Noboru Uchida ◽  
Akira Fukunaga ◽  
Masayuki Kobayashi ◽  
...  

2017 ◽  
Vol 142 ◽  
pp. 1238-1243 ◽  
Author(s):  
Xiaoya Li ◽  
Gequn Shu ◽  
Hua Tian ◽  
Lingfeng Shi ◽  
Daiqiang Li ◽  
...  

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