Power Optimization of Systems for Direct Thermal to Electrical Energy Conversion

被引：0

作者：

Ciarpi, Gabriele ^{[1
]}

Del Vecchio, Matteo ^{[1
]}

Dimaggio, Elisabetta ^{[1
]}

Macucci, Massimo ^{[1
]}

Pennelli, Giovanni ^{[1
]}

机构：

[1] Univ Pisa, Dipartimento Ingn Informaz, Via Caruso 16, I-56122 Pisa, Italy

来源：

ELECTRONICS | 2023年 / 12卷 / 10期

关键词：

DC/DC converter; energy conversion; LTSPICE simulator; maximum power point tracking; power optimization; thermoelectric generator; THERMOELECTRIC GENERATORS;

D O I：

10.3390/electronics12102163

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Thermoelectric generators (TEGs) offer the possibility of extracting electrical power from any heat source, including low-enthalpy heat. The operation of thermoelectric generators is closely related to not only thermal factors but also the electrical load conditions. Consequently, simulations of TEG-based thermoelectric systems require the adequate modeling of both thermal and electric phenomena. In this paper, the developed TEG model is presented and verified through the design of a complete thermoelectric system able to optimize the extraction of electrical power according to the thermal conditions. The system consisted of a TEG, a properly designed low-cost DC/DC converter, and an energy storage element. The DC/DC converter was controlled by a specific algorithm that optimized the electrical power extraction following the maximum power point. The choices adopted for the system design, the implementation of the DC/DC converter, and the algorithm development were verified with experimental measurements.

引用

页数：11

共 25 条

[1] A review of the development and applications of thermoelectric microgenerators for energy harvesting [J].