IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v196y2020ics0360544220301973.html
   My bibliography  Save this article

Robust design optimization (RDO) of thermoelectric generator system using non-dominated sorting genetic algorithm II (NSGA-II)

Author

Listed:
  • Lee, Ungki
  • Park, Sudong
  • Lee, Ikjin

Abstract

The thermoelectric generator (TEG) is a promising technology for the exhaust heat recovery of automobiles and TEG optimization has been widely studied. However, previous TEG optimization studies did not consider variations in the TEG net power output caused by uncertain parameters in the TEG system. This paper introduces a robust design optimization (RDO) that maximizes the mean of the performance function while minimizing its variance, leading to an optimum design that is less sensitive to uncertainties in TEG systems. A surrogate model is used to reduce the computational cost and the non-dominated sorting genetic algorithm II (NSGA-II) is used to find a compromise solution. The standard deviation of the TEG net power output of the deterministic optimum design (93.51W) verifies that the uncertainty of TEG systems significantly affects the variation of the TEG net power output, indicating that the uncertainty should be considered in TEG optimization problems. The compromise solution guarantees stable and high TEG net power output compared to the deterministic optimum design stemming from existing TEG optimization studies. The results of a global sensitivity analysis using the Sobol index indicate that the inlet temperature of the hot fluid has the greatest impact on the TEG net power output.

Suggested Citation

  • Lee, Ungki & Park, Sudong & Lee, Ikjin, 2020. "Robust design optimization (RDO) of thermoelectric generator system using non-dominated sorting genetic algorithm II (NSGA-II)," Energy, Elsevier, vol. 196(C).
    • Handle: RePEc:eee:energy:v:196:y:2020:i:c:s0360544220301973
    DOI: 10.1016/j.energy.2020.117090
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220301973
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2020.117090?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. Domingues, António & Santos, Helder & Costa, Mário, 2013. "Analysis of vehicle exhaust waste heat recovery potential using a Rankine cycle," Energy, Elsevier, vol. 49(C), pages 71-85.
    2. Chen, Wei-Hsin & Wu, Po-Hua & Lin, Yu-Li, 2018. "Performance optimization of thermoelectric generators designed by multi-objective genetic algorithm," Applied Energy, Elsevier, vol. 209(C), pages 211-223.
    3. Lan, Song & Yang, Zhijia & Chen, Rui & Stobart, Richard, 2018. "A dynamic model for thermoelectric generator applied to vehicle waste heat recovery," Applied Energy, Elsevier, vol. 210(C), pages 327-338.
    4. Höök, Mikael & Tang, Xu, 2013. "Depletion of fossil fuels and anthropogenic climate change—A review," Energy Policy, Elsevier, vol. 52(C), pages 797-809.
    5. He, Wei & Wang, Shixue & Yue, Like, 2017. "High net power output analysis with changes in exhaust temperature in a thermoelectric generator system," Applied Energy, Elsevier, vol. 196(C), pages 259-267.
    6. Hsiao, Y.Y. & Chang, W.C. & Chen, S.L., 2010. "A mathematic model of thermoelectric module with applications on waste heat recovery from automobile engine," Energy, Elsevier, vol. 35(3), pages 1447-1454.
    7. Muralidhar, Nischal & Himabindu, M. & Ravikrishna, R.V., 2018. "Modeling of a hybrid electric heavy duty vehicle to assess energy recovery using a thermoelectric generator," Energy, Elsevier, vol. 148(C), pages 1046-1059.
    8. Liang, Xingyu & Sun, Xiuxiu & Tian, Hua & Shu, Gequn & Wang, Yuesen & Wang, Xu, 2014. "Comparison and parameter optimization of a two-stage thermoelectric generator using high temperature exhaust of internal combustion engine," Applied Energy, Elsevier, vol. 130(C), pages 190-199.
    9. Gou, Xiaolong & Xiao, Heng & Yang, Suwen, 2010. "Modeling, experimental study and optimization on low-temperature waste heat thermoelectric generator system," Applied Energy, Elsevier, vol. 87(10), pages 3131-3136, October.
    10. He, Wei & Wang, Shixue & Zhang, Xing & Li, Yanzhe & Lu, Chi, 2015. "Optimization design method of thermoelectric generator based on exhaust gas parameters for recovery of engine waste heat," Energy, Elsevier, vol. 91(C), pages 1-9.
    11. Zhao, Yulong & Wang, Shixue & Ge, Minghui & Liang, Zhaojun & Liang, Yifan & Li, Yanzhe, 2019. "Performance investigation of an intermediate fluid thermoelectric generator for automobile exhaust waste heat recovery," Applied Energy, Elsevier, vol. 239(C), pages 425-433.
    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. Xiao, Wu & Cheng, Andi & Li, Shuai & Jiang, Xiaobin & Ruan, Xuehua & He, Gaohong, 2021. "A multi-objective optimization strategy of steam power system to achieve standard emission and optimal economic by NSGA-Ⅱ," Energy, Elsevier, vol. 232(C).
    2. Wang, Pengfei & Chen, Zhi & Liao, Longtao & Wan, Jiashuang & Wu, Shifa, 2020. "A multiple-model based internal model control method for power control of small pressurized water reactors," Energy, Elsevier, vol. 210(C).
    3. Liu, Jia & Cao, Sunliang & Chen, Xi & Yang, Hongxing & Peng, Jinqing, 2021. "Energy planning of renewable applications in high-rise residential buildings integrating battery and hydrogen vehicle storage," Applied Energy, Elsevier, vol. 281(C).
    4. Kong, Xue & Wang, Hongye & Li, Nan & Mu, Hailin, 2022. "Multi-objective optimal allocation and performance evaluation for energy storage in energy systems," Energy, Elsevier, vol. 253(C).
    5. Xu, Yingjie & Mao, Chengbin & Huang, Yuangong & Shen, Xi & Xu, Xiaoxiao & Chen, Guangming, 2021. "Performance evaluation and multi-objective optimization of a low-temperature CO2 heat pump water heater based on artificial neural network and new economic analysis," Energy, Elsevier, vol. 216(C).
    6. Chen, Wei-Hsin & Carrera Uribe, Manuel & Kwon, Eilhann E. & Lin, Kun-Yi Andrew & Park, Young-Kwon & Ding, Lu & Saw, Lip Huat, 2022. "A comprehensive review of thermoelectric generation optimization by statistical approach: Taguchi method, analysis of variance (ANOVA), and response surface methodology (RSM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    7. Huijun Feng & Wei Tang & Lingen Chen & Junchao Shi & Zhixiang Wu, 2021. "Multi-Objective Constructal Optimization for Marine Condensers," Energies, MDPI, vol. 14(17), pages 1-18, September.
    8. Liu, Jia & Chen, Xi & Yang, Hongxing & Shan, Kui, 2021. "Hybrid renewable energy applications in zero-energy buildings and communities integrating battery and hydrogen vehicle storage," Applied Energy, Elsevier, vol. 290(C).
    9. Tang, Wei & Feng, Huijun & Chen, Lingen & Xie, Zhuojun & Shi, Junchao, 2021. "Constructal design for a boiler economizer," Energy, Elsevier, vol. 223(C).
    10. Chen, Wei-Hsin & Chiou, Yi-Bin, 2020. "Geometry design for maximizing output power of segmented skutterudite thermoelectric generator by evolutionary computation," Applied Energy, Elsevier, vol. 274(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. Aljaghtham, Mutabe & Celik, Emrah, 2020. "Design optimization of oil pan thermoelectric generator to recover waste heat from internal combustion engines," Energy, Elsevier, vol. 200(C).
    2. Lan, Song & Li, Qingshan & Guo, Xin & Wang, Shukun & Chen, Rui, 2023. "Fuel saving potential analysis of bifunctional vehicular waste heat recovery system using thermoelectric generator and organic Rankine cycle," Energy, Elsevier, vol. 263(PB).
    3. Luo, Ding & Wang, Ruochen & Yan, Yuying & Sun, Zeyu & Zhou, Weiqi & Ding, Renkai, 2021. "Comparison of different fluid-thermal-electric multiphysics modeling approaches for thermoelectric generator systems," Renewable Energy, Elsevier, vol. 180(C), pages 1266-1277.
    4. Young Hoo Cho & Jaehyun Park & Naehyuck Chang & Jaemin Kim, 2020. "Comparison of Cooling Methods for a Thermoelectric Generator with Forced Convection," Energies, MDPI, vol. 13(12), pages 1-19, June.
    5. Massaguer, A. & Massaguer, E. & Comamala, M. & Pujol, T. & Montoro, L. & Cardenas, M.D. & Carbonell, D. & Bueno, A.J., 2017. "Transient behavior under a normalized driving cycle of an automotive thermoelectric generator," Applied Energy, Elsevier, vol. 206(C), pages 1282-1296.
    6. Yu, Shuhai & Du, Qing & Diao, Hai & Shu, Gequn & Jiao, Kui, 2015. "Start-up modes of thermoelectric generator based on vehicle exhaust waste heat recovery," Applied Energy, Elsevier, vol. 138(C), pages 276-290.
    7. Luo, Ding & Wang, Ruochen & Yu, Wei & Zhou, Weiqi, 2020. "Parametric study of a thermoelectric module used for both power generation and cooling," Renewable Energy, Elsevier, vol. 154(C), pages 542-552.
    8. He, Zhi-Zhu, 2020. "A coupled electrical-thermal impedance matching model for design optimization of thermoelectric generator," Applied Energy, Elsevier, vol. 269(C).
    9. 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).
    10. Luo, Ding & Wang, Ruochen & Yan, Yuying & Yu, Wei & Zhou, Weiqi, 2021. "Transient numerical modelling of a thermoelectric generator system used for automotive exhaust waste heat recovery," Applied Energy, Elsevier, vol. 297(C).
    11. Chen, Wei-Hsin & Lin, Yi-Xian & Wang, Xiao-Dong & Lin, Yu-Li, 2019. "A comprehensive analysis of the performance of thermoelectric generators with constant and variable properties," Applied Energy, Elsevier, vol. 241(C), pages 11-24.
    12. Lan, Song & Yang, Zhijia & Chen, Rui & Stobart, Richard, 2018. "A dynamic model for thermoelectric generator applied to vehicle waste heat recovery," Applied Energy, Elsevier, vol. 210(C), pages 327-338.
    13. Chen, Wei-Hsin & Huang, Shih-Rong & Lin, Yu-Li, 2015. "Performance analysis and optimum operation of a thermoelectric generator by Taguchi method," Applied Energy, Elsevier, vol. 158(C), pages 44-54.
    14. 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).
    15. He, Min & Wang, Enhua & Zhang, Yuanyin & Zhang, Wen & Zhang, Fujun & Zhao, Changlu, 2020. "Performance analysis of a multilayer thermoelectric generator for exhaust heat recovery of a heavy-duty diesel engine," Applied Energy, Elsevier, vol. 274(C).
    16. Lan, Song & Yang, Zhijia & Stobart, Richard & Chen, Rui, 2018. "Prediction of the fuel economy potential for a skutterudite thermoelectric generator in light-duty vehicle applications," Applied Energy, Elsevier, vol. 231(C), pages 68-79.
    17. Shen, Zu-Guo & Wu, Shuang-Ying & Xiao, Lan & Yin, Gang, 2016. "Theoretical modeling of thermoelectric generator with particular emphasis on the effect of side surface heat transfer," Energy, Elsevier, vol. 95(C), pages 367-379.
    18. Garud, Kunal Sandip & Seo, Jae-Hyeong & Bang, You-Ma & Pyo, Young-Dug & Cho, Chong-Pyo & Lee, Moo-Yeon & Lee, Dong-Yeon, 2022. "Energy, exergy, environmental sustainability and economic analyses for automotive thermoelectric generator system with various configurations," Energy, Elsevier, vol. 244(PA).
    19. Shu, Gequn & Ma, Xiaonan & Tian, Hua & Yang, Haoqi & Chen, Tianyu & Li, Xiaoya, 2018. "Configuration optimization of the segmented modules in an exhaust-based thermoelectric generator for engine waste heat recovery," Energy, Elsevier, vol. 160(C), pages 612-624.
    20. Yang, Yurong & Wang, Shixue & Zhu, Yu, 2020. "Evaluation method for assessing heat transfer enhancement effect on performance improvement of thermoelectric generator systems," Applied Energy, Elsevier, vol. 263(C).

    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:energy:v:196:y:2020:i:c:s0360544220301973. 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.journals.elsevier.com/energy .

    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.