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| Optimization design of thermoelectric system module layout based on genetic algorithm |
| Received:January 22, 2021 Revised:February 19, 2021 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20210122003 |
| KeyWord:thermoelectric generator genetic algorithm layout optimization thermoelectric module |
| Author | Institution |
| 冯一芒 |
大连理工大学 工业装备结构分析国家重点实验室, 大连 |
| 孔德奎 |
大连理工大学 工业装备结构分析国家重点实验室, 大连 |
| 毕世权 |
沈阳飞机设计研究所, 沈阳 |
| 崔浩 |
沈阳飞机设计研究所, 沈阳 |
| 张永存 |
大连理工大学 工业装备结构分析国家重点实验室, 大连 |
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| Abstract: |
| Thermoelectric generation has important potential applications such as power supply in extreme aerospace environment,waste heat utilization in automobile and others.However,their wide scale applications have been hindered due to low its thermal-to-electrical conversion efficiency.At present,the performance improvement is mainly made from two aspects: improving the material performance and optimizing the thermoelectric module structure.In this paper,a method of module layout optimization of a thermoelectric generator based on a genetic algorithm is proposed.By combining the existing analytical models,a performance evaluation method which can quickly obtain the electricity generation of the system is developed.Through the genetic algorithm,the thermal-to-electrical conversion of waste heat gas is taken as an example to realize the layout (number and location) design of the modules in the thermoelectric generator.The influence of waste heat gas flow velocity and temperature is discussed.Comparing with the fully covered thermoelectric module layout design,the optimized design achieves a higher electric power with fewer thermoelectric modules,which proves that including too many thermoelectric modules can have a negative effect,and that there is an optimal number and location of thermoelectric modules.This study provides a possible way to improve the electric output power in thermoelectric generation. |
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