The study of a thermoelectric generator with various thermal conditions of exhaust gas from a diesel engine
The study of a thermoelectric generator with various thermal conditions of exhaust gas from a diesel engine
复制标题
DOI：
10.1016/j.ijheatmasstransfer.2015.03.052
复制
发表时间：
2015-07-01
影响因子：
5.2
通讯作者：
Lee, Ki Hyung
中科院分区：
文献类型：
--
作者：
In, Byung Deok;Kim, Hyung Ik;Lee, Ki Hyung
众所周知，内燃机的热效率约为30%，剩余的能量通过废气和冷却剂以热量的形式损失掉。为了提高这种效率，需要回收废弃能源的技术。提高发动机的热效率也会减少二氧化碳的排放。最近，废物能源回收系统因其解决严格的排放法规和化石燃料枯竭的潜在能力而引起了极大的关注。热电发电机（teg）可用于利用废热发电；然而，仍有许多问题有待解决。这不仅对提高TEG的效率，而且对优化TEG的运行条件具有重要意义。因此，本研究为TEG系统的优化提供了有用的信息，包括系统布局的优化和TEG的配置。此外，通过理论分析对热电模块的传热特性进行了预测，并与实验测量的传热特性进行了比较。研究了利用实际发动机废气加热的热电发电机的性能。根据这些结果，明确了影响热电模块优化的因素。(C) 2015 Elsevier Ltd.版权所有。
It is well known that internal combustion engines have approximately 30% thermal efficiency, and the remaining energy is lost as heat through both, exhaust gas and coolant. To improve upon this efficiency, technology for recycling waste energy is desirable. Increasing the thermal efficiency of engines would also reduce CO2 emissions. Recently, waste energy recovery systems have drawn-a great deal of attention for their potential ability to address stringent emission regulations as well as fossil fuel depletion. Thermoelectric generators (TEGs) can be applied to produce electricity from waste heat; however, there are still remaining many problems to be solved. It would be significant not only to improve the efficiency of the TEG, but also to optimize the operating conditions. Therefore, this study provides useful information on optimization of the TEG system, including optimization of the system layout, and configuration Of TEG. In addition, the heat transfer characteristics of thermoelectric modules were predicted by theoretical analysis and compared to experimentally measured heat transfer characteristics. The performance of thermoelectric generators heated by exhaust gas from an actual engine was investigated. From these results, we clarified factors affecting the optimization of thermoelectric module according to operating conditions. (C) 2015 Elsevier Ltd. All rights reserved.