Combinatory Finite Element and Artificial Neural Network Model for Predicting Performance of Thermoelectric Generator

Combinatory Finite Element and Artificial Neural Network Model for Predicting Performance of Thermoelectric Generator

Thermoelectric generators (TEGs) are rapidly becoming the mainstream technology for converting thermal energy into electrical energy. The rise in the continuous deployment of TEGs is related to advancements in materials, figure of merit, and methods for module manufacturing. However, rapid optimizat...

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Bibliographic Details
Main Authors: Ravi Anant Kishore, Roop L. Mahajan, Shashank Priya
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Energies
Subjects:
thermoelectric
bismuth telluride
TEG
neural network
ANN
Online Access:http://www.mdpi.com/1996-1073/11/9/2216

Internet

http://www.mdpi.com/1996-1073/11/9/2216

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