Design of Thermoelectric Generators and Maximum Electrical Power Using Reduced Variables and Machine Learning Approaches
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Zhu, Yuxiao & Newbrook, Daniel W. & Dai, Peng & de Groot, C.H. Kees & Huang, Ruomeng, 2022. "Artificial neural network enabled accurate geometrical design and optimisation of thermoelectric generator," Applied Energy, Elsevier, vol. 305(C).
- Maduabuchi, Chika, 2022. "Thermo-mechanical optimization of thermoelectric generators using deep learning artificial intelligence algorithms fed with verified finite element simulation data," Applied Energy, Elsevier, vol. 315(C).
- Ge, Ya & He, Kui & Xiao, Liehui & Yuan, Wuzhi & Huang, Si-Min, 2022. "Geometric optimization for the thermoelectric generator with variable cross-section legs by coupling finite element method and optimization algorithm," Renewable Energy, Elsevier, vol. 183(C), pages 294-303.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Wang, Z.H. & Ma, Y.J. & Tang, G.H. & Zhang, Hu & Ji, F. & Sheng, Q., 2023. "Integration of thermal insulation and thermoelectric conversion embedded with phase change materials," Energy, Elsevier, vol. 278(C).
- Maduabuchi, Chika & Eneh, Chibuoke & Alrobaian, Abdulrahman Abdullah & Alkhedher, Mohammad, 2023. "Deep neural networks for quick and precise geometry optimization of segmented thermoelectric generators," Energy, Elsevier, vol. 263(PC).
- Chika Maduabuchi & Hassan Fagehi & Ibrahim Alatawi & Mohammad Alkhedher, 2022. "Predicting the Optimal Performance of a Concentrated Solar Segmented Variable Leg Thermoelectric Generator Using Neural Networks," Energies, MDPI, vol. 15(16), pages 1-25, August.
- Lan, Yuncheng & Lu, Junhui & Wang, Suilin, 2023. "Study of the geometry and structure of a thermoelectric leg with variable material properties and side heat dissipation based on thermodynamic, economic, and environmental analysis," Energy, Elsevier, vol. 282(C).
- R. S. Varun Kumar & M. D. Alsulami & I. E. Sarris & B. C. Prasannakumara & Saurabh Rana, 2023. "Backpropagated Neural Network Modeling for the Non-Fourier Thermal Analysis of a Moving Plate," Mathematics, MDPI, vol. 11(2), pages 1-32, January.
- Ye-Qi Zhang & Jiao Sun & Guang-Xu Wang & Tian-Hu Wang, 2022. "Advantage of a Thermoelectric Generator with Hybridization of Segmented Materials and Irregularly Variable Cross-Section Design," Energies, MDPI, vol. 15(8), pages 1-18, April.
- Junpeng Liu & Yajing Sun & Gang Chen & Pengcheng Zhai, 2023. "Performance Analysis of Variable Cross-Section TEGs under Constant Heat Flux Conditions," Energies, MDPI, vol. 16(11), pages 1-16, June.
- Maduabuchi, Chika, 2022. "Thermo-mechanical optimization of thermoelectric generators using deep learning artificial intelligence algorithms fed with verified finite element simulation data," Applied Energy, Elsevier, vol. 315(C).
- Sourav Bhakta & Balaram Kundu, 2024. "A Review of Thermoelectric Generators in Automobile Waste Heat Recovery Systems for Improving Energy Utilization," Energies, MDPI, vol. 17(5), pages 1-49, February.
- Hong, Bing-Hua & Huang, Xiao-Yan & He, Jian-Wei & Cai, Yang & Wang, Wei-Wei & Zhao, Fu-Yun, 2023. "Round-the-clock performance of solar thermoelectric wall with phase change material in subtropical climate: Critical analysis and parametric investigations," Energy, Elsevier, vol. 272(C).
- Ge, Ya & Xiao, Qiyin & Wang, Wenhao & Lin, Yousheng & Huang, Si-Min, 2022. "Design of high-performance photovoltaic-thermoelectric hybrid systems using multi-objective genetic algorithm," Renewable Energy, Elsevier, vol. 200(C), pages 136-145.
- Yang, Wenlong & Zhu, WenChao & Du, Banghua & Wang, Han & Xu, Lamei & Xie, Changjun & Shi, Ying, 2023. "Power generation of annular thermoelectric generator with silicone polymer thermal conductive oil applied in automotive waste heat recovery," Energy, Elsevier, vol. 282(C).
- Sabina-Cristiana Necula, 2023. "Assessing the Potential of Artificial Intelligence in Advancing Clean Energy Technologies in Europe: A Systematic Review," Energies, MDPI, vol. 16(22), pages 1-24, November.
- Zhu, WenChao & Yang, Wenlong & Yang, Yang & Li, Yang & Li, Hao & Shi, Ying & Yan, Yonggao & Xie, Changjun, 2022. "Economic configuration optimization of onboard annual thermoelectric generators under multiple operating conditions," Renewable Energy, Elsevier, vol. 197(C), pages 486-499.
- Chika Maduabuchi & Chinedu Nsude & Chibuoke Eneh & Emmanuel Eke & Kingsley Okoli & Emmanuel Okpara & Christian Idogho & Bryan Waya & Catur Harsito, 2023. "Renewable Energy Potential Estimation Using Climatic-Weather-Forecasting Machine Learning Algorithms," Energies, MDPI, vol. 16(4), pages 1-20, February.
- Zhixing Li & Mimi Tian & Yafei Zhao & Zhao Zhang & Yuxi Ying, 2021. "Development of an Integrated Performance Design Platform for Residential Buildings Based on Climate Adaptability," Energies, MDPI, vol. 14(24), pages 1-44, December.
- Nidhal Ben Khedher & Fatih Selimefendigil & Lioua Kolsi & Walid Aich & Lotfi Ben Said & Ismail Boukholda, 2022. "Performance Optimization of a Thermoelectric Device by Using a Shear Thinning Nanofluid and Rotating Cylinder in a Cavity with Ventilation Ports," Mathematics, MDPI, vol. 10(7), pages 1-20, March.
More about this item
Keywords
thermoelectric generator design; dimensional parameters; maximum power; supervised machine learning;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:21:p:7263-:d:1267492. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.