Assessment of an Exhaust Thermoelectric Generator Incorporating Thermal Control Applied to a Heavy Duty Vehicle
Carolina Clasen Sousa,
Jorge Martins,
Óscar Carvalho,
Miguel Coelho,
Ana Sofia Moita and
Francisco P. Brito
Additional contact information
Carolina Clasen Sousa: MEtRICs, Mechanical Engineering Department, Campus of Azurem, University of Minho, 4800-058 Guimaraes, Portugal
Jorge Martins: MEtRICs, Mechanical Engineering Department, Campus of Azurem, University of Minho, 4800-058 Guimaraes, Portugal
Óscar Carvalho: CMEMS, Mechanical Engineering Department, Campus of Azurem, University of Minho, 4800-058 Guimaraes, Portugal
Miguel Coelho: CMEMS, Mechanical Engineering Department, Campus of Azurem, University of Minho, 4800-058 Guimaraes, Portugal
Ana Sofia Moita: Instituto Universitário Militar—CINAMIL, Academia Militar, IN+ University of Lisbon, 1649-004 Lisboa, Portugal
Francisco P. Brito: MEtRICs, Mechanical Engineering Department, Campus of Azurem, University of Minho, 4800-058 Guimaraes, Portugal
Energies, 2022, vol. 15, issue 13, 1-19
Abstract:
The road transport industry faces the need to develop its fleet for lower energy consumption, pollutants and CO 2 emissions. Waste heat recovery systems with Thermoelectric Generators (TEGs) can directly convert the exhaust heat into electric energy, aiding the electrical needs of the vehicle, thus reducing its dependency on fuel energy. The present work assesses the optimisation and evaluation of a temperature-controlled thermoelectric generator (TCTG) concept to be used in a commercial heavy-duty vehicle (HDV). The system consists of a heat exchanger with wavy fins (WFs) embedded in an aluminium matrix along with vapour chambers (VCs), machined directly into the matrix, that grant the thermal control based on the spreading of local excess heat by phase change, as proposed by the authors in previous publications and patents. The TCTG concept behaviour was analysed under realistic driving conditions. An HDV with a 16 L Diesel engine was simulated in AVL Cruise to obtain the exhaust gas temperature and mass flow rate for each point of two cycle runs. A model proposed in previous publications was adapted to the new fin geometry and vapour chamber configuration and used the AVL Cruise data as input. It was possible to predict the thermal and thermoelectric performance of the TCTG along the corresponding driving cycles. The developed system proved to have a good capacity for applications with highly variable thermal loads since it was able to uncouple the maximisation of heat absorption from the regulation of the thermal level at the hot face of the TEG modules, avoiding both thermal dilution and overheating. This was achieved by the controlled phase change temperature of the heat spreader, that would ensure the spreading of the excess heat from overheated to underheated areas of the generator instead of wasting excess heat. A maximum average electrical production of 2.4 kW was predicted, which resulted in fuel savings of about 2% and CO 2 emissions reduction of around 37 g/km.
Keywords: heavy-duty vehicles; fuel efficiency; waste heat recovery; onboard electricity production; thermoelectric generators; thermal control; variable conductance heat pipes; vapour chambers (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.mdpi.com/1996-1073/15/13/4787/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/13/4787/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:13:p:4787-:d:851825
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().