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Hybrid Ship Unit Commitment with Demand Prediction and Model Predictive Control

Author

Listed:
  • Janne Huotari

    (Department of Mechanical Engineering, Aalto University, Otakaari 4, 02150 Espoo, Finland)

  • Antti Ritari

    (Department of Mechanical Engineering, Aalto University, Otakaari 4, 02150 Espoo, Finland)

  • Jari Vepsäläinen

    (Department of Mechanical Engineering, Aalto University, Otakaari 4, 02150 Espoo, Finland)

  • Kari Tammi

    (Department of Mechanical Engineering, Aalto University, Otakaari 4, 02150 Espoo, Finland)

Abstract

We present a novel methodology for the control of power unit commitment in complex ship energy systems. The usage of this method is demonstrated with a case study, where measured data was used from a cruise ship operating in the Caribbean and the Mediterranean. The ship’s energy system is conceptualized to feature a fuel cell and a battery along standard diesel generating sets for the purpose of reducing local emissions near coasts. The developed method is formulated as a model predictive control (MPC) problem, where a novel 2-stage predictive model is used to predict power demand, and a mixed-integer linear programming (MILP) model is used to solve unit commitment according to the prediction. The performance of the methodology is compared to fully optimal control, which was simulated by optimizing unit commitment for entire measured power demand profiles of trips. As a result, it can be stated that the developed methodology achieves close to optimal unit commitment control for the conceptualized energy system. Furthermore, the predictive model is formulated so that it returns probability estimates of future power demand rather than point estimates. This opens up the possibility for using stochastic or robust optimization methods for unit commitment optimization in future studies.

Suggested Citation

  • Janne Huotari & Antti Ritari & Jari Vepsäläinen & Kari Tammi, 2020. "Hybrid Ship Unit Commitment with Demand Prediction and Model Predictive Control," Energies, MDPI, vol. 13(18), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4748-:d:412406
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    References listed on IDEAS

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    1. Mikhail Sofiev & James J. Winebrake & Lasse Johansson & Edward W. Carr & Marje Prank & Joana Soares & Julius Vira & Rostislav Kouznetsov & Jukka-Pekka Jalkanen & James J. Corbett, 2018. "Cleaner fuels for ships provide public health benefits with climate tradeoffs," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    2. Wang, J. & Botterud, A. & Bessa, R. & Keko, H. & Carvalho, L. & Issicaba, D. & Sumaili, J. & Miranda, V., 2011. "Wind power forecasting uncertainty and unit commitment," Applied Energy, Elsevier, vol. 88(11), pages 4014-4023.
    3. Ritari, Antti & Huotari, Janne & Halme, Jukka & Tammi, Kari, 2020. "Hybrid electric topology for short sea ships with high auxiliary power availability requirement," Energy, Elsevier, vol. 190(C).
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    Cited by:

    1. Awab Baqar & Mamadou Baïlo Camara & Brayima Dakyo, 2022. "Energy Management in the Multi-Source Systems," Energies, MDPI, vol. 15(8), pages 1-4, April.

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