一种热能梯级利用型温差发电系统的优化设计

许昊煜; XU Haoyu

doi:10.16513/j.cnki.10-1427/tk.2016.01.011

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分布式能源 ›› 2016, Vol. 1 ›› Issue (1) : 57-64. DOI: 10.16513/j.cnki.10-1427/tk.2016.01.011

应用技术

一种热能梯级利用型温差发电系统的优化设计

许昊煜 ,
XU Haoyu

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Optimization Design of a Cascading Thermoelectric Generation System

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摘要

The natural gas is clean, high-efficiency and accessible so that it is wildly used in the field of distributed energy. Meanwhile, the thermoelectric generation (TEG) with simple structure, stable output and wide heat resource adaptability can be applied to the distributed energy combining with natural gas. However, the low efficiency of the TEG system hinders the development and the application of it. In order to increase the system efficiency, a cascading thermoelectric generation system is designed. The system is able to make full use of the heat source produced by the combustion of the natural gas based on the rational arrangement of the high, medium and low temperature thermoelectric modules. The CFD method has been used to optimize the design of the system and a test bed has been established based on it. The simulative and experimental results show the optimized system can make the cascading utilization of the heat source, and also the efficiency of the system is 1.93% more than the conventional single-stage high temperature TEG system which weighs 37.7% of it.

关键词

分布式能源 / 温差发电 / 优化设计 / 系统效率 / 梯级利用 / distributed energy / thermoelectric generation / design optimization / system efficiency / cascading utilization

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许昊煜, XU

Haoyu

. Optimization Design of a Cascading Thermoelectric Generation System[J]. 分布式能源. 2016, 1(1): 57-64 https://doi.org/10.16513/j.cnki.10-1427/tk.2016.01.011

[J]. Distributed Energy Resources. 2016, 1(1): 57-64 https://doi.org/10.16513/j.cnki.10-1427/tk.2016.01.011

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基金

中国大唐集团重点攻关项目(海量实时数据挖掘与设备状态智能预警系统研究)

Project supported by Key Research Projects of China Datang Corporation(Study on Massive Real-time Data Mining and Equipment State Intelligent Early Warning System)