IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i9p2216-d165601.html
   My bibliography  Save this article

Combinatory Finite Element and Artificial Neural Network Model for Predicting Performance of Thermoelectric Generator

Author

Listed:
  • Ravi Anant Kishore

    (Center for Energy Harvesting Materials and Systems (CEHMS), Virginia Tech, Blacksburg, VA 24061, USA)

  • Roop L. Mahajan

    (Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA
    Institute for Critical Technology and Applied Science (ICTAS), 325 Stanger Street, Blacksburg, VA 24061, USA)

  • Shashank Priya

    (Center for Energy Harvesting Materials and Systems (CEHMS), Virginia Tech, Blacksburg, VA 24061, USA
    Materials Research Institute, Penn State, University Park, PA 16802, USA)

Abstract

Thermoelectric generators (TEGs) are rapidly becoming the mainstream technology for converting thermal energy into electrical energy. The rise in the continuous deployment of TEGs is related to advancements in materials, figure of merit, and methods for module manufacturing. However, rapid optimization techniques for TEGs have not kept pace with these advancements, which presents a challenge regarding tailoring the device architecture for varying operating conditions. Here, we address this challenge by providing artificial neural network (ANN) models that can predict TEG performance on demand. Out of the several ANN models considered for TEGs, the most efficient one consists of two hidden layers with six neurons in each layer. The model predicted TEG power with an accuracy of ±0.1 W, and TEG efficiency with an accuracy of ±0.2%. The trained ANN model required only 26.4 ms per data point for predicting TEG performance against the 6.0 minutes needed for the traditional numerical simulations.

Suggested Citation

  • Ravi Anant Kishore & Roop L. Mahajan & Shashank Priya, 2018. "Combinatory Finite Element and Artificial Neural Network Model for Predicting Performance of Thermoelectric Generator," Energies, MDPI, vol. 11(9), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2216-:d:165601
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/9/2216/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/9/2216/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kunlin Cheng & Yu Feng & Chuanwen Lv & Silong Zhang & Jiang Qin & Wen Bao, 2017. "Performance Evaluation of Waste Heat Recovery Systems Based on Semiconductor Thermoelectric Generators for Hypersonic Vehicles," Energies, MDPI, vol. 10(4), pages 1-16, April.
    2. Orlando Duran & Andrea Capaldo & Paulo Andrés Duran Acevedo, 2017. "Lean Maintenance Applied to Improve Maintenance Efficiency in Thermoelectric Power Plants," Energies, MDPI, vol. 10(10), pages 1-21, October.
    3. Mojtaba Mirhosseini & Alireza Rezaniakolaei & Lasse Rosendahl, 2018. "Numerical Study on Heat Transfer to an Arc Absorber Designed for a Waste Heat Recovery System around a Cement Kiln," Energies, MDPI, vol. 11(3), pages 1-16, March.
    4. Chuan-Wei Zhang & Ke-Jun Xu & Lin-Yang Li & Man-Zhi Yang & Huai-Bin Gao & Shang-Rui Chen, 2018. "Study on a Battery Thermal Management System Based on a Thermoelectric Effect," Energies, MDPI, vol. 11(2), pages 1-15, January.
    5. Khaled Teffah & Youtong Zhang & Xiao-long Mou, 2018. "Modeling and Experimentation of New Thermoelectric Cooler–Thermoelectric Generator Module," Energies, MDPI, vol. 11(3), pages 1-11, March.
    6. Chung-Kwei Lin & May-Show Chen & Rong-Tan Huang & Yu-Chun Cheng & Pee-Yew Lee, 2015. "Thermoelectric Properties of Alumina-Doped Bi 0.4 Sb 1.6 Te 3 Nanocomposites Prepared through Mechanical Alloying and Vacuum Hot Pressing," Energies, MDPI, vol. 8(11), pages 1-11, November.
    7. Hamid Elsheikh, Mohamed & Shnawah, Dhafer Abdulameer & Sabri, Mohd Faizul Mohd & Said, Suhana Binti Mohd & Haji Hassan, Masjuki & Ali Bashir, Mohamed Bashir & Mohamad, Mahazani, 2014. "A review on thermoelectric renewable energy: Principle parameters that affect their performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 337-355.
    8. Siyang Li & Kwok Ho Lam & Ka Wai Eric Cheng, 2017. "The Thermoelectric Analysis of Different Heat Flux Conduction Materials for Power Generation Board," Energies, MDPI, vol. 10(11), pages 1-14, November.
    9. Dunham, Marc T. & Barako, Michael T. & LeBlanc, Saniya & Asheghi, Mehdi & Chen, Baoxing & Goodson, Kenneth E., 2015. "Power density optimization for micro thermoelectric generators," Energy, Elsevier, vol. 93(P2), pages 2006-2017.
    10. Oswaldo Hideo Ando Junior & Nelson H. Calderon & Samara Silva De Souza, 2018. "Characterization of a Thermoelectric Generator (TEG) System for Waste Heat Recovery," Energies, MDPI, vol. 11(6), pages 1-13, June.
    11. Jinlong Chen & Kewen Li & Changwei Liu & Mao Li & Youchang Lv & Lin Jia & Shanshan Jiang, 2017. "Enhanced Efficiency of Thermoelectric Generator by Optimizing Mechanical and Electrical Structures," Energies, MDPI, vol. 10(9), pages 1-15, September.
    12. Zhi Li & Wenhao Li & Zhen Chen, 2017. "Performance Analysis of Thermoelectric Based Automotive Waste Heat Recovery System with Nanofluid Coolant," Energies, MDPI, vol. 10(10), pages 1-15, September.
    13. Marian Von Lukowicz & Elisabeth Abbe & Tino Schmiel & Martin Tajmar, 2016. "Thermoelectric Generators on Satellites—An Approach for Waste Heat Recovery in Space," Energies, MDPI, vol. 9(7), pages 1-14, July.
    14. Yilbas, B.S. & Sahin, A.Z., 2010. "Thermoelectric device and optimum external load parameter and slenderness ratio," Energy, Elsevier, vol. 35(12), pages 5380-5384.
    15. Zheng, X.F. & Liu, C.X. & Yan, Y.Y. & Wang, Q., 2014. "A review of thermoelectrics research – Recent developments and potentials for sustainable and renewable energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 486-503.
    16. Astrain, D. & Vián, J.G. & Martínez, A. & Rodríguez, A., 2010. "Study of the influence of heat exchangers' thermal resistances on a thermoelectric generation system," Energy, Elsevier, vol. 35(2), pages 602-610.
    17. Wang, Xiao-Dong & Huang, Yu-Xian & Cheng, Chin-Hsiang & Ta-Wei Lin, David & Kang, Chung-Hao, 2012. "A three-dimensional numerical modeling of thermoelectric device with consideration of coupling of temperature field and electric potential field," Energy, Elsevier, vol. 47(1), pages 488-497.
    18. Montecucco, Andrea & Siviter, Jonathan & Knox, Andrew R., 2015. "Constant heat characterisation and geometrical optimisation of thermoelectric generators," Applied Energy, Elsevier, vol. 149(C), pages 248-258.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. 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.
    3. 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).
    4. Nuria Novas & Alfredo Alcayde & Isabel Robalo & Francisco Manzano-Agugliaro & Francisco G. Montoya, 2020. "Energies and Its Worldwide Research," Energies, MDPI, vol. 13(24), pages 1-41, December.
    5. Cheng Lu & Yun-Wen Feng & Cheng-Wei Fei, 2019. "Weighted Regression-Based Extremum Response Surface Method for Structural Dynamic Fuzzy Reliability Analysis," Energies, MDPI, vol. 12(9), pages 1-16, April.
    6. Tae Young Kim, 2021. "Prediction of System-Level Energy Harvesting Characteristics of a Thermoelectric Generator Operating in a Diesel Engine Using Artificial Neural Networks," Energies, MDPI, vol. 14(9), pages 1-14, April.

    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.
    1. Jing-Hui Meng & Hao-Chi Wu & Tian-Hu Wang, 2019. "Optimization of Two-Stage Combined Thermoelectric Devices by a Three-Dimensional Multi-Physics Model and Multi-Objective Genetic Algorithm," Energies, MDPI, vol. 12(14), pages 1-24, July.
    2. Martí Comamala & Ivan Ruiz Cózar & Albert Massaguer & Eduard Massaguer & Toni Pujol, 2018. "Effects of Design Parameters on Fuel Economy and Output Power in an Automotive Thermoelectric Generator," Energies, MDPI, vol. 11(12), pages 1-28, November.
    3. Twaha, Ssennoga & Zhu, Jie & Yan, Yuying & Li, Bo, 2016. "A comprehensive review of thermoelectric technology: Materials, applications, modelling and performance improvement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 698-726.
    4. Fitriani, & Ovik, R. & Long, B.D. & Barma, M.C. & Riaz, M. & Sabri, M.F.M. & Said, S.M. & Saidur, R., 2016. "A review on nanostructures of high-temperature thermoelectric materials for waste heat recovery," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 635-659.
    5. Sahin, Ahmet Z. & Yilbas, Bekir S., 2013. "Thermodynamic irreversibility and performance characteristics of thermoelectric power generator," Energy, Elsevier, vol. 55(C), pages 899-904.
    6. Shittu, Samson & Li, Guiqiang & Zhao, Xudong & Ma, Xiaoli, 2020. "Review of thermoelectric geometry and structure optimization for performance enhancement," Applied Energy, Elsevier, vol. 268(C).
    7. Lv, Hao & Wang, Xiao-Dong & Meng, Jing-Hui & Wang, Tian-Hu & Yan, Wei-Mon, 2016. "Enhancement of maximum temperature drop across thermoelectric cooler through two-stage design and transient supercooling effect," Applied Energy, Elsevier, vol. 175(C), pages 285-292.
    8. Shittu, Samson & Li, Guiqiang & Akhlaghi, Yousef Golizadeh & Ma, Xiaoli & Zhao, Xudong & Ayodele, Emmanuel, 2019. "Advancements in thermoelectric generators for enhanced hybrid photovoltaic system performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 24-54.
    9. Agnieszka Żelazna & Justyna Gołębiowska, 2020. "A PV-Powered TE Cooling System with Heat Recovery: Energy Balance and Environmental Impact Indicators," Energies, MDPI, vol. 13(7), pages 1-22, April.
    10. Wang, Xiao-Dong & Wang, Qiu-Hong & Xu, Jin-Liang, 2014. "Performance analysis of two-stage TECs (thermoelectric coolers) using a three-dimensional heat-electricity coupled model," Energy, Elsevier, vol. 65(C), pages 419-429.
    11. Siddique, Abu Raihan Mohammad & Rabari, Ronil & Mahmud, Shohel & Heyst, Bill Van, 2016. "Thermal energy harvesting from the human body using flexible thermoelectric generator (FTEG) fabricated by a dispenser printing technique," Energy, Elsevier, vol. 115(P1), pages 1081-1091.
    12. Ibáñez-Puy, Elia & Martín-Gómez, César & Bermejo-Busto, Javier & Zuazua-Ros, Amaia, 2018. "Thermal and energy performance assessment of a thermoelectric heat pump integrated in an adiabatic box," Applied Energy, Elsevier, vol. 228(C), pages 681-688.
    13. Davide Di Battista & Roberto Cipollone, 2023. "Waste Energy Recovery and Valorization in Internal Combustion Engines for Transportation," Energies, MDPI, vol. 16(8), pages 1-28, April.
    14. Owoyele, Opeoluwa & Ferguson, Scott & O’Connor, Brendan T., 2015. "Performance analysis of a thermoelectric cooler with a corrugated architecture," Applied Energy, Elsevier, vol. 147(C), pages 184-191.
    15. Zeb, K. & Ali, S.M. & Khan, B. & Mehmood, C.A. & Tareen, N. & Din, W. & Farid, U. & Haider, A., 2017. "A survey on waste heat recovery: Electric power generation and potential prospects within Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1142-1155.
    16. Mohamed Amine Zoui & Saïd Bentouba & John G. Stocholm & Mahmoud Bourouis, 2020. "A Review on Thermoelectric Generators: Progress and Applications," Energies, MDPI, vol. 13(14), pages 1-32, July.
    17. Jia Yu & Qingshan Zhu & Li Kong & Haoqing Wang & Hongji Zhu, 2020. "Modeling of an Integrated Thermoelectric Generation–Cooling System for Thermoelectric Cooler Waste Heat Recovery," Energies, MDPI, vol. 13(18), pages 1-10, September.
    18. Huang, Yu-Xian & Wang, Xiao-Dong & Cheng, Chin-Hsiang & Lin, David Ta-Wei, 2013. "Geometry optimization of thermoelectric coolers using simplified conjugate-gradient method," Energy, Elsevier, vol. 59(C), pages 689-697.
    19. Su, Ning & Zhu, Pengfei & Pan, Yuhui & Li, Fu & Li, Bo, 2020. "3D-printing of shape-controllable thermoelectric devices with enhanced output performance," Energy, Elsevier, vol. 195(C).
    20. Kumar, Prashant & Kishore, Ravi Anant & Maurya, Deepam & Stewart, Colin J. & Mirzaeifar, Reza & Quandt, Eckhard & Priya, Shashank, 2019. "Shape memory alloy engine for high efficiency low-temperature gradient thermal to electrical conversion," Applied Energy, Elsevier, vol. 251(C), pages 1-1.

    Corrections

    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:11:y:2018:i:9:p:2216-:d:165601. 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.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.