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A modular dynamic mathematical model of thermoelectric elements for marine applications

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  • Georgopoulou, Chariklia A.
  • Dimopoulos, George G.
  • Kakalis, Nikolaos M.P.

Abstract

This paper presents a modular, dynamic and spatially distributed model of thermoelectric elements for marine applications intended to assess the low-grade waste heat recovery potential of thermoelectric devices on-board seagoing vessels. The model describes the dynamic behaviour of marine thermoelectric components and captures the detailed thermodynamic and thermoelectric process phenomena. Validation against experimental data from the literature indicates good model predictive ability. Two marine applications are examined using the model: (a) a scavenge air cooler, and (b) an auxiliary engine exhaust gas duct section integrated with thermoelectric generators. For each case, a parametric analysis is conducted to identify the designs that yield maximum thermoelectric efficiency and power output. The study concludes that thermoelectrics can recover low-grade waste heat on-board ships. Systems engineering modelling and simulation techniques can successfully determine the best system design, to achieve maximum energy harvesting, satisfying the weight, space and operational constraints on-board.

Suggested Citation

  • Georgopoulou, Chariklia A. & Dimopoulos, George G. & Kakalis, Nikolaos M.P., 2016. "A modular dynamic mathematical model of thermoelectric elements for marine applications," Energy, Elsevier, vol. 94(C), pages 13-28.
    • Handle: RePEc:eee:energy:v:94:y:2016:i:c:p:13-28
    DOI: 10.1016/j.energy.2015.10.130
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    References listed on IDEAS

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    1. Magnus S. Eide & Øyvind Endresen & Rolf Skjong & Tore Longva & Sverre Alvik, 2009. "Cost-effectiveness assessment of CO 2 reducing measures in shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 36(4), pages 367-384, August.
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    Cited by:

    1. Liu, Di & Cai, Yang & Zhao, Fu-Yun, 2017. "Optimal design of thermoelectric cooling system integrated heat pipes for electric devices," Energy, Elsevier, vol. 128(C), pages 403-413.
    2. Yang, Feng & Du, Lin & Chen, Weigen & Li, Jian & Wang, Youyuan & Wang, Disheng, 2017. "Hybrid energy harvesting for condition monitoring sensors in power grids," Energy, Elsevier, vol. 118(C), pages 435-445.
    3. Nour Eddine, A. & Chalet, D. & Faure, X. & Aixala, L. & Chessé, P., 2018. "Optimization and characterization of a thermoelectric generator prototype for marine engine application," Energy, Elsevier, vol. 143(C), pages 682-695.
    4. Cheng, Fuqiang & Hong, Yanji & Li, Weiping & Guo, Xiaohong & Zhang, Hailong & Fu, Feng & Feng, Bingqing & Wang, Gang & Wang, Chao & Qin, Haibing, 2017. "A thermoelectric generator for scavenging gas-heat: From module optimization to prototype test," Energy, Elsevier, vol. 121(C), pages 545-560.
    5. F. P. Brito & João Silva Peixoto & Jorge Martins & António P. Gonçalves & Loucas Louca & Nikolaos Vlachos & Theodora Kyratsi, 2021. "Analysis and Design of a Silicide-Tetrahedrite Thermoelectric Generator Concept Suitable for Large-Scale Industrial Waste Heat Recovery," Energies, MDPI, vol. 14(18), pages 1-21, September.

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