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 …

The combined impacts of leg geometry configuration and multi-staging on the exergetic performance of thermoelectric modules in a solar thermoelectric generator

C Maduabuchi, S Singh… - Journal of …, 2022 - asmedigitalcollection.asme.org
The performance of thermoelectric generators (TEGs) can be improved either by the
adoption of multi-stage or tapered leg configuration. So far, a hybrid device that …

Performance prediction and optimization of thermoelectric generators using artificial neural networks and finite element simulations

CC Maduabuchi - Available at SSRN 4042574, 2022 - papers.ssrn.com
The traditional means of optimizing the performance of thermoelectric generators (TEGs) are
using experimental and finite element simulation software like ANSYS or COMSOL …

Accurate and Quick Design of High-Performing Solar Photovoltaic-Thermoelectrics by Harnessing the Power of Artificial Intelligence

CC Maduabuchi - Available at SSRN 4169916 - papers.ssrn.com
Although the photovoltaic-thermoelectric has greatly reduced the overheating of solar cells,
the large-scale manufacturing and commercialization of these devices are yet to be carried …

Machine learning enhanced performance optimization of a photovoltaic-thermoelectric system

CC Maduabuchi - Available at SSRN 4002335 - papers.ssrn.com
Finite element solvers (FEMs) solvers like ANSYS and COMSOL Multiphysics require very
high computation speeds that are quite expensive. Second, they require a considerable …