IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i11p1781-d117698.html
   My bibliography  Save this article

The Thermoelectric Analysis of Different Heat Flux Conduction Materials for Power Generation Board

Author

Listed:
  • Siyang Li

    (Power Electronics Research Center, Department of Electrical Engineering, The Hong Kong Polytechnic University, 11, Hong Chong Road, Kowloon, Hong Kong)

  • Kwok Ho Lam

    (Power Electronics Research Center, Department of Electrical Engineering, The Hong Kong Polytechnic University, 11, Hong Chong Road, Kowloon, Hong Kong)

  • Ka Wai Eric Cheng

    (Power Electronics Research Center, Department of Electrical Engineering, The Hong Kong Polytechnic University, 11, Hong Chong Road, Kowloon, Hong Kong)

Abstract

The development of the thermoelectric (TE) power generation is rapid, and the applications have extensively been studied. The principle is based on the Seebeck effect, in which the temperature difference between hot and cold sides of the TE material converts to electrical energy. In this paper, a design is proposed to convert the thermal energy between indoor and outdoor of a board to electrical energy by the thermoelectric generator (TEG). Furthermore, the electrical energy generated is charged to supercapacitors as a battery or a power supply to the loads (e.g., lights) of the house. Besides the experimental work, a thermal model and an electrical model of the TEG have been proposed. To study the power generation performance in terms of materials, the simulation of the conversion efficiency of the TE board using materials with different thermal conductance have also been conducted. It was found that, using graphene as the thermally conductive material, the conversion efficiency was enhanced by 1.6% and 1.7%, when the temperature difference was 15 °C and 40 °C, respectively.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1781-:d:117698
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/11/1781/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/11/1781/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tingzhen Ming & Qiankun Wang & Keyuan Peng & Zhe Cai & Wei Yang & Yongjia Wu & Tingrui Gong, 2015. "The Influence of Non-Uniform High Heat Flux on Thermal Stress of Thermoelectric Power Generator," Energies, MDPI, vol. 8(11), pages 1-19, November.
    2. Saima Siouane & Slaviša Jovanović & Philippe Poure, 2017. "Equivalent Electrical Circuits of Thermoelectric Generators under Different Operating Conditions," Energies, MDPI, vol. 10(3), pages 1-15, March.
    3. Yu Zou & Ka Wai Eric Cheng, 2017. "A Vertical Flux-Switching Permanent Magnet Based Oscillating Wave Power Generator with Energy Storage," Energies, MDPI, vol. 10(7), pages 1-19, June.
    4. Elena Anamaria Man & Erik Schaltz & Lasse Rosendahl & Alireza Rezaniakolaei & Dieter Platzek, 2015. "A High Temperature Experimental Characterization Procedure for Oxide-Based Thermoelectric Generator Modules under Transient Conditions," Energies, MDPI, vol. 8(11), pages 1-9, November.
    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. 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.

    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. Gimara Rajapakse & Shantha Jayasinghe & Alan Fleming & Michael Negnevitsky, 2017. "A Model Predictive Control-Based Power Converter System for Oscillating Water Column Wave Energy Converters," Energies, MDPI, vol. 10(10), pages 1-17, October.
    2. Gimara Rajapakse & Shantha Jayasinghe & Alan Fleming & Michael Negnevitsky, 2018. "Grid Integration and Power Smoothing of an Oscillating Water Column Wave Energy Converter," Energies, MDPI, vol. 11(7), pages 1-19, July.
    3. Manuela Castañeda & Elkin I. Gutiérrez-Velásquez & Claudio E. Aguilar & Sergio Neves Monteiro & Andrés A. Amell & Henry A. Colorado, 2022. "Sustainability and Circular Economy Perspectives of Materials for Thermoelectric Modules," Sustainability, MDPI, vol. 14(10), pages 1-19, May.
    4. Lin Sun & Futing Bao & Ning Zhang & Weihua Hui & Shaozeng Wang & Nan Zhang & Heng Deng, 2016. "Thermo-Structural Response Caused by Structure Gap and Gap Design for Solid Rocket Motor Nozzles," Energies, MDPI, vol. 9(6), pages 1-21, June.
    5. Gao, Yuanzhi & Dai, Zhaofeng & Wu, Dongxu & Wang, Changling & Chen, Bo & Zhang, Xiaosong, 2022. "Transient performance assessment of a hybrid PV-TEG system integrated with PCM under non-uniform radiation conditions: A numerical investigation," Renewable Energy, Elsevier, vol. 198(C), pages 352-366.
    6. Syeda Adila Afghan & Husi Géza, 2019. "Modelling and Analysis of Energy Harvesting in Internet of Things (IoT): Characterization of a Thermal Energy Harvesting Circuit for IoT based Applications with LTC3108," Energies, MDPI, vol. 12(20), pages 1-13, October.
    7. 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).
    8. Merienne, R. & Lynn, J. & McSweeney, E. & O'Shaughnessy, S.M., 2019. "Thermal cycling of thermoelectric generators: The effect of heating rate," Applied Energy, Elsevier, vol. 237(C), pages 671-681.
    9. 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).
    10. Gong, Tingrui & Wu, Yongjia & Gao, Lei & Zhang, Long & Li, Juntao & Ming, Tingzhen, 2019. "Thermo-mechanical analysis on a compact thermoelectric cooler," Energy, Elsevier, vol. 172(C), pages 1211-1224.
    11. Karami Rad, Meysam & Rezania, Alireza & Omid, Mahmoud & Rajabipour, Ali & Rosendahl, Lasse, 2019. "Study on material properties effect for maximization of thermoelectric power generation," Renewable Energy, Elsevier, vol. 138(C), pages 236-242.
    12. Martí Comamala & Toni Pujol & Ivan Ruiz Cózar & Eduard Massaguer & Albert Massaguer, 2018. "Power and Fuel Economy of a Radial Automotive Thermoelectric Generator: Experimental and Numerical Studies," Energies, MDPI, vol. 11(10), pages 1-21, October.

    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:10:y:2017:i:11:p:1781-:d:117698. 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.