[HTML][HTML] Assessing the Potential of Artificial Intelligence in Advancing Clean Energy Technologies in Europe: A Systematic Review
SC Necula - Energies, 2023 - mdpi.com
This systematic review investigates the role of artificial intelligence (AI) in advancing clean
energy technologies within Europe, based on a literature survey from 2006 to 2023. The …
energy technologies within Europe, based on a literature survey from 2006 to 2023. 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 correlation among industry 4.0, additive manufacturing, and topology optimization: A state-of-the-art review
This paper discusses additive manufacturing (AM) and topology optimization (TO) and their
relationship with industrial revolution 4.0. An overview of different AM techniques is given …
relationship with industrial revolution 4.0. An overview of different AM techniques is given …
[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 …
Performance prediction and optimization of annular thermoelectric generators based on a comprehensive surrogate model
A traditional system-level thermoelectric model requires enormous computing power and
time for simulation analysis, especially when multiple optimization algorithms are combined …
time for simulation analysis, especially when multiple optimization algorithms are combined …
Accurate prophecy of photovoltaic-segmented thermoelectric generator's performance using a neural network that feeds on finite element-generated data
To further enhance the photovoltaic–thermoelectric system efficiency, this paper proposes a
new hybrid system design comprising a segmented thermoelectric generator and aluminum …
new hybrid system design comprising a segmented thermoelectric generator and aluminum …
Experimental study for artificial neural network modeling on thermal and flow performances of electric traction motor with oil spray cooling
The oil spray cooling is emerging as advanced thermal management technique for next
generation electric traction motor. The performance of oil spray cooling needs to be mapped …
generation electric traction motor. The performance of oil spray cooling needs to be mapped …
Integration of thermal insulation and thermoelectric conversion embedded with phase change materials
The thermoelectric effect can convert waste heat into electricity. The present work presents
an integrated system of Thermoelectric Generators (TEG) and Phase Change Materials …
an integrated system of Thermoelectric Generators (TEG) and Phase Change Materials …
Geometry and stage number optimization of a concentrating solar multistage segmented thermoelectric generator by exploiting different optimization schemes
C Maduabuchi, M Alobaid - International Journal of Energy …, 2022 - Wiley Online Library
To further enhance the performance of the multi‐stage thermoelectric generator (TEG), this
work conducts a comprehensive geometry and stage number optimization of a concentrating …
work conducts a comprehensive geometry and stage number optimization of a concentrating …
[HTML][HTML] Predicting the optimal performance of a concentrated solar segmented variable leg thermoelectric generator using neural networks
The production of high-performing thermoelectrics is limited by the high computational
energy and time required by the current finite element method solvers that are used to …
energy and time required by the current finite element method solvers that are used to …