Thermo-mechanical optimization of thermoelectric generators using deep learning artificial intelligence algorithms fed with verified finite element simulation data
C Maduabuchi - Applied Energy, 2022 - Elsevier
The rising levels of global warming in the environment owing to emissions from fossil-fuel-
based engines has increased the search for efficient clean energy systems. Thermoelectric …
based engines has increased the search for efficient clean energy systems. Thermoelectric …
[HTML][HTML] 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 …
converting thermal energy into electrical energy. The rise in the continuous deployment of …
Artificial neural network enabled accurate geometrical design and optimisation of thermoelectric generator
The ever-increasing demand for renewable energy and zero carbon dioxide emission have
been the driving force for the development of thermoelectric generators with better power …
been the driving force for the development of thermoelectric generators with better power …
Fast and accurate performance prediction and optimization of thermoelectric generators with deep neural networks
P Wang, K Wang, L Xi, R Gao… - Advanced Materials …, 2021 - Wiley Online Library
Predicting the performance of thermoelectric generators (TEGs) is an essential part of
designing high‐performance TEGs. However, due to the complexity of the TEG system, the …
designing high‐performance TEGs. However, due to the complexity of the TEG system, the …
Deep neural networks for quick and precise geometry optimization of segmented thermoelectric generators
To solve the problems of the current optimization methods for solar segmented
thermoelectric generator performance based on numerical methods, this paper applied …
thermoelectric generator performance based on numerical methods, this paper applied …
A coupled electrical-thermal impedance matching model for design optimization of thermoelectric generator
ZZ He - Applied energy, 2020 - Elsevier
Based on the definition of numerical-type equivalent thermoelectric parameters through
developing a 1D self-consistent numerical method, this paper established a novel coupled …
developing a 1D self-consistent numerical method, this paper established a novel coupled …
Design of heat sink for improving the performance of thermoelectric generator using two-stage optimization
CC Wang, CI Hung, WH Chen - Energy, 2012 - Elsevier
Thermoelectric (TE) devices can provide clean energy conversion and are environmentally
friendly; however, little research has been published on the optimal design of air-cooling …
friendly; however, little research has been published on the optimal design of air-cooling …
A comprehensive review of thermoelectric generation optimization by statistical approach: Taguchi method, analysis of variance (ANOVA), and response surface …
The thermoelectric generator (TEG) can directly convert heat to electricity. However, its
efficiency is low, so optimizing TE systems to maximize output power is necessary. Many …
efficiency is low, so optimizing TE systems to maximize output power is necessary. Many …
[HTML][HTML] Neural network-assisted optimization of segmented thermoelectric power generators using active learning based on a genetic optimization algorithm
Because the properties of thermoelectric (TE) materials are strongly dependent on
temperature and differ considerably, segmented TE legs composed of multiple stacked TE …
temperature and differ considerably, segmented TE legs composed of multiple stacked TE …
[HTML][HTML] Machine learning-based optimization of segmented thermoelectric power generators using temperature-dependent performance properties
Segmented thermoelectric generators (STEGs) provide an excellent platform for thermal
energy harvesting devices because they improve power generation performance across a …
energy harvesting devices because they improve power generation performance across a …