Prediction of System-Level Energy Harvesting Characteristics of a Thermoelectric Generator Operating in a Diesel Engine Using Artificial Neural Networks

Prediction of System-Level Energy Harvesting Characteristics of a Thermoelectric Generator Operating in a Diesel Engine Using Artificial Neural Networks

This study evaluated the potential of artificial neural networks (ANNs) to predict the system-level performance of a thermoelectric generator (TEG), whose performance depends on various variables including engine load, engine rotation speed, and external load resistance. Therefore, a Python code was...

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Bibliographic Details
Main Author: Tae Young Kim
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Energies
Subjects:
thermoelectric generation
artificial neural network
back propagation
net power gain
pumping loss
Online Access:https://www.mdpi.com/1996-1073/14/9/2426

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