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Modeling, optimization, and control of ship energy systems using exergy methods

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  • Trinklein, Eddy H.
  • Parker, Gordon G.
  • McCoy, Timothy J.

Abstract

Changing emissions regulations, fuel price fluctuations and development of new energy-intensive mission systems are driving both component technological innovation and require more sophisticated controls on-board modern ships. Historically, numerous components and systems aboard ships perform energy conversions from one form to another. Conversion from chemical to thermal to kinetic to electrical and back to thermal energy are common. Today, subsystems are designed separately without opportunity for optimizing overall system-of-systems performance. By modeling multiple system domains simultaneously and applying the Second Law of Thermodynamics, this progresses towards overall ship system optimization. Exergy, the available energy for performing useful work, and exergy destruction was calculated in each energy conversion process. Knowledge of the exergy flows leads to a system-of-systems optimization to minimize overall exergy destruction translating into lower emissions and fuel costs. This can eventually result in more efficient, smaller and lighter shipboard systems. A model of notional shipboard power and cooling system is presented that features a pulsed load (an electromagnetic railgun) and have implemented both traditional and exergy-based control schemes. This paper will briefly review the modeling, which has been previously published, and present results using exergy destruction for optimization of the ship system controls.

Suggested Citation

  • Trinklein, Eddy H. & Parker, Gordon G. & McCoy, Timothy J., 2020. "Modeling, optimization, and control of ship energy systems using exergy methods," Energy, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:energy:v:191:y:2020:i:c:s0360544219322376
    DOI: 10.1016/j.energy.2019.116542
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    References listed on IDEAS

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    1. Costa, V.A.F., 2016. "On the exergy balance equation and the exergy destruction," Energy, Elsevier, vol. 116(P1), pages 824-835.
    2. Duan, Jiandong & Liu, Junjie & Xiao, Qian & Fan, Shaogui & Sun, Li & Wang, Guanglin, 2019. "Cooperative controls of micro gas turbine and super capacitor hybrid power generation system for pulsed power load," Energy, Elsevier, vol. 169(C), pages 1242-1258.
    3. Sangi, Roozbeh & Müller, Dirk, 2019. "Application of the second law of thermodynamics to control: A review," Energy, Elsevier, vol. 174(C), pages 938-953.
    4. Hou, Jun & Sun, Jing & Hofmann, Heath, 2018. "Adaptive model predictive control with propulsion load estimation and prediction for all-electric ship energy management," Energy, Elsevier, vol. 150(C), pages 877-889.
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    Cited by:

    1. Mohamed, Mohamed A. & Chabok, Hossein & Awwad, Emad Mahrous & El-Sherbeeny, Ahmed M. & Elmeligy, Mohammed A. & Ali, Ziad M., 2020. "Stochastic and distributed scheduling of shipboard power systems using MθFOA-ADMM," Energy, Elsevier, vol. 206(C).

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