IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v307y2022ics0306261921014756.html
   My bibliography  Save this article

Variance-based global sensitivity analysis of a hybrid thermoelectric generator fuzzy system

Author

Listed:
  • Zhang, Feng
  • Wang, Xinhe
  • Hou, Xinting
  • Han, Cheng
  • Wu, Mingying
  • Liu, Zhongbing

Abstract

In this paper, Hybrid thermoelectric generators (HTEG) model was established based on nonequilibrium thermodynamics and Newton's heat transfer law. Fuzzy theory was used to describe the decision-making and cognitive uncertainty of HTEG design variables in working environment and material. The influence of the fluctuation of design parameters on the output performance is studied using a variance-based global sensitivity analysis. Taking a sampling sample N = 10,000, the main and total Global sensitivity indices of design parameters are calculated, and the sensitivity ranking are obtained. In addition, the analysis was applied to contact effects and the number of serial and parallel components on the sensitivity of the output to the uncertainty of the design variables. The results show: the heat and cold source temperature, load resistance and Seebeck coefficient had a greater impact on the output power and the impact on the conversion efficiency mainly came from the heat and cold source temperature, load resistance and thermal resistance of the thermoelectric module. The contact effects and the number of thermoelectric components connected in series and parallel exerted a certain influence on the uncertainty of output response. The results can be used to guide the performance analysis and parameter optimization of HTEG in application.

Suggested Citation

  • Zhang, Feng & Wang, Xinhe & Hou, Xinting & Han, Cheng & Wu, Mingying & Liu, Zhongbing, 2022. "Variance-based global sensitivity analysis of a hybrid thermoelectric generator fuzzy system," Applied Energy, Elsevier, vol. 307(C).
    • Handle: RePEc:eee:appene:v:307:y:2022:i:c:s0306261921014756
    DOI: 10.1016/j.apenergy.2021.118208
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921014756
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2021.118208?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ouyang, Zhongliang & Li, Dawen, 2018. "Design of segmented high-performance thermoelectric generators with cost in consideration," Applied Energy, Elsevier, vol. 221(C), pages 112-121.
    2. Liu, Zhongbing & Zhang, Yelin & Zhang, Ling & Luo, Yongqiang & Wu, Zhenghong & Wu, Jing & Yin, Yingde & Hou, Guoqing, 2018. "Modeling and simulation of a photovoltaic thermal-compound thermoelectric ventilator system," Applied Energy, Elsevier, vol. 228(C), pages 1887-1900.
    3. Shamshirband, Shahaboddin & Petković, Dalibor & Amini, Amineh & Anuar, Nor Badrul & Nikolić, Vlastimir & Ćojbašić, Žarko & Mat Kiah, Miss Laiha & Gani, Abdullah, 2014. "Support vector regression methodology for wind turbine reaction torque prediction with power-split hydrostatic continuous variable transmission," Energy, Elsevier, vol. 67(C), pages 623-630.
    4. Chambers, Jonathan & Zuberi, M.J.S. & Streicher, K.N. & Patel, Martin K., 2021. "Geospatial global sensitivity analysis of a heat energy service decarbonisation model of the building stock," Applied Energy, Elsevier, vol. 302(C).
    5. Carta, José A. & Díaz, Santiago & Castañeda, Alberto, 2020. "A global sensitivity analysis method applied to wind farm power output estimation models," Applied Energy, Elsevier, vol. 280(C).
    6. Ezzitouni, S. & Fernández-Yáñez, P. & Sánchez, L. & Armas, O., 2020. "Global energy balance in a diesel engine with a thermoelectric generator," Applied Energy, Elsevier, vol. 269(C).
    7. Petković, Dalibor & Barjaktarovic, Miljana & Milošević, Slaviša & Denić, Nebojša & Spasić, Boban & Stojanović, Jelena & Milovancevic, Milos, 2021. "Neuro fuzzy estimation of the most influential parameters for Kusum biodiesel performance," Energy, Elsevier, vol. 229(C).
    8. Luo, Ding & Sun, Zeyu & Wang, Ruochen, 2022. "Performance investigation of a thermoelectric generator system applied in automobile exhaust waste heat recovery," Energy, Elsevier, vol. 238(PB).
    9. Cui, Y.J. & Wang, B.L. & Wang, K.F., 2021. "Energy conversion performance optimization and strength evaluation of a wearable thermoelectric generator made of a thermoelectric layer on a flexible substrate," Energy, Elsevier, vol. 229(C).
    10. Papaioannou, Iason & Straub, Daniel, 2021. "Variance-based reliability sensitivity analysis and the FORM α-factors," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    11. Wu, Yaling & Liu, Zhongbing & Liu, Jiangyang & Xiao, Hui & Liu, Ruimiao & Zhang, Ling, 2022. "Optimal battery capacity of grid-connected PV-battery systems considering battery degradation," Renewable Energy, Elsevier, vol. 181(C), pages 10-23.
    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. Chuan Qin & Yuqing Jin & Meng Tian & Ping Ju & Shun Zhou, 2023. "Comparative Study of Global Sensitivity Analysis and Local Sensitivity Analysis in Power System Parameter Identification," Energies, MDPI, vol. 16(16), pages 1-21, August.
    2. Zhang, Feng & Wang, Xinhe & Wang, Weiyue & Zhang, Jiajia & Du, Ruijie & Li, Bingqiang & Liu, Wei, 2023. "Uncertainty analysis of photovoltaic cells to determine probability of functional failure," Applied Energy, Elsevier, vol. 332(C).
    3. Liu, Jiangfeng & Zhang, Qi & Li, Hailong & Chen, Siyuan & Teng, Fei, 2022. "Investment decision on carbon capture and utilization (CCU) technologies—A real option model based on technology learning effect," Applied Energy, Elsevier, vol. 322(C).

    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. Liang, Yushi & Wu, Chunbing & Ji, Xiaodong & Zhang, Mulan & Li, Yiran & He, Jianjun & Qin, Zhiheng, 2022. "Estimation of the influences of spatiotemporal variations in air density on wind energy assessment in China based on deep neural network," Energy, Elsevier, vol. 239(PC).
    2. Luo, Ding & Yan, Yuying & Li, Ying & Wang, Ruochen & Cheng, Shan & Yang, Xuelin & Ji, Dongxu, 2023. "A hybrid transient CFD-thermoelectric numerical model for automobile thermoelectric generator systems," Applied Energy, Elsevier, vol. 332(C).
    3. Mingzhu Tang & Wei Chen & Qi Zhao & Huawei Wu & Wen Long & Bin Huang & Lida Liao & Kang Zhang, 2019. "Development of an SVR Model for the Fault Diagnosis of Large-Scale Doubly-Fed Wind Turbines Using SCADA Data," Energies, MDPI, vol. 12(17), pages 1-15, September.
    4. Jung, WoongHee & Taflanidis, Alexandros A., 2023. "Efficient global sensitivity analysis for high-dimensional outputs combining data-driven probability models and dimensionality reduction," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    5. Ramedani, Zeynab & Omid, Mahmoud & Keyhani, Alireza & Shamshirband, Shahaboddin & Khoshnevisan, Benyamin, 2014. "Potential of radial basis function based support vector regression for global solar radiation prediction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1005-1011.
    6. Qi Xu & Shihao Zhang & Saffa Riffat, 2022. "Ecopump: a novel thermoelectric heat pump/heat recovery ventilator system for domestic building applications [A 3-field earth-heat-exchange system for a school building in Imola, Italy: monitoring ," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 563-570.
    7. Luo, Yongqiang & Zhang, Ling & Liu, Zhongbing & Yu, Jinghua & Xu, Xinhua & Su, Xiaosong, 2020. "Towards net zero energy building: The application potential and adaptability of photovoltaic-thermoelectric-battery wall system," Applied Energy, Elsevier, vol. 258(C).
    8. Shittu, Samson & Li, Guiqiang & Xuan, Qindong & Zhao, Xudong & Ma, Xiaoli & Cui, Yu, 2020. "Electrical and mechanical analysis of a segmented solar thermoelectric generator under non-uniform heat flux," Energy, Elsevier, vol. 199(C).
    9. Liu, H.R. & Li, B.J. & Hua, L.J. & Wang, R.Z., 2022. "Designing thermoelectric self-cooling system for electronic devices: Experimental investigation and model validation," Energy, Elsevier, vol. 243(C).
    10. Xu, Lei & Hou, Lei & Zhu, Zhenyu & Li, Yu & Liu, Jiaquan & Lei, Ting & Wu, Xingguang, 2021. "Mid-term prediction of electrical energy consumption for crude oil pipelines using a hybrid algorithm of support vector machine and genetic algorithm," Energy, Elsevier, vol. 222(C).
    11. Shang, Yue & Nogal, Maria & Teixeira, Rui & Wolfert, A.R. (Rogier) M., 2024. "Extreme-oriented sensitivity analysis using sparse polynomial chaos expansion. Application to train–track–bridge systems," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    12. 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.
    13. Chen, Xi & Liu, Zhongbing & Wang, Pengcheng & Li, Benjia & Liu, Ruimiao & Zhang, Ling & Zhao, Chengliang & Luo, Songqin, 2023. "Multi-objective optimization of battery capacity of grid-connected PV-BESS system in hybrid building energy sharing community considering time-of-use tariff," Applied Energy, Elsevier, vol. 350(C).
    14. Francesco Bottiglione & Giacomo Mantriota & Marco Valle, 2018. "Power-Split Hydrostatic Transmissions for Wind Energy Systems," Energies, MDPI, vol. 11(12), pages 1-15, December.
    15. Luo, Ding & Yan, Yuying & Li, Ying & Yang, Xuelin & Chen, Hao, 2023. "Exhaust channel optimization of the automobile thermoelectric generator to produce the highest net power," Energy, Elsevier, vol. 281(C).
    16. Zhou, Huanyu & Qiu, Yingning & Feng, Yanhui & Liu, Jing, 2022. "Power prediction of wind turbine in the wake using hybrid physical process and machine learning models," Renewable Energy, Elsevier, vol. 198(C), pages 568-586.
    17. Yang, Wenlong & Jin, Chenchen & Zhu, Wenchao & Li, Yang & Zhang, Rui & Huang, Liang & Xie, Changjun & Shi, Ying, 2024. "Taguchi optimization and thermoelectrical analysis of a pin fin annular thermoelectric generator for automotive waste heat recovery," Renewable Energy, Elsevier, vol. 220(C).
    18. Wenlong Yang & Wenchao Zhu & Yang Yang & Liang Huang & Ying Shi & Changjun Xie, 2022. "Thermoelectric Performance Evaluation and Optimization in a Concentric Annular Thermoelectric Generator under Different Cooling Methods," Energies, MDPI, vol. 15(6), pages 1-21, March.
    19. Mustafa Kaya, 2019. "A CFD Based Application of Support Vector Regression to Determine the Optimum Smooth Twist for Wind Turbine Blades," Sustainability, MDPI, vol. 11(16), pages 1-25, August.
    20. Giallanza, A. & Porretto, M. & Cannizzaro, L. & Marannano, G., 2017. "Analysis of the maximization of wind turbine energy yield using a continuously variable transmission system," Renewable Energy, Elsevier, vol. 102(PB), pages 481-486.

    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:eee:appene:v:307:y:2022:i:c:s0306261921014756. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.