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Intertemporal optimization of synthesis, design and operation of integrated energy systems of ships: General method and application on a system with Diesel main engines

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  • Sakalis, George N.
  • Frangopoulos, Christos A.

Abstract

The need to decrease fuel consumption and environmental pollution caused by ships leads to the development of complex and integrated systems that produce all forms of energy needed (mechanical, electrical and thermal) with as low fuel consumption as technically possible and economically feasible. A variety of configurations, design specifications and operating states can serve the loads. The question of which combination of those is the best under certain criteria is far from trivial, and relevant engineering decisions have to be supported by optimization procedures. As an aid for this purpose, a method has been developed and presented in this article.

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  • Sakalis, George N. & Frangopoulos, Christos A., 2018. "Intertemporal optimization of synthesis, design and operation of integrated energy systems of ships: General method and application on a system with Diesel main engines," Applied Energy, Elsevier, vol. 226(C), pages 991-1008.
    • Handle: RePEc:eee:appene:v:226:y:2018:i:c:p:991-1008
    DOI: 10.1016/j.apenergy.2018.06.061
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    1. George N. Sakalis & George J. Tzortzis & Christos A. Frangopoulos, 2019. "Intertemporal Static and Dynamic Optimization of Synthesis, Design, and Operation of Integrated Energy Systems of Ships," Energies, MDPI, vol. 12(5), pages 1-50, March.
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    3. Trivyza, Nikoletta L. & Rentizelas, Athanasios & Theotokatos, Gerasimos & Boulougouris, Evangelos, 2022. "Decision support methods for sustainable ship energy systems: A state-of-the-art review," Energy, Elsevier, vol. 239(PC).
    4. Lúcio Carlos Pinheiro Campos Filho & Nelio Moura de Figueiredo & Cláudio José Cavalcante Blanco & Maisa Sales Gama Tobias & Paulo Afonso, 2024. "Machine Learning for the Sustainable Management of Depth Prediction and Load Optimization in River Convoys: An Amazon Basin Case Study," Sustainability, MDPI, vol. 16(19), pages 1-22, September.
    5. Marques, C.H. & Belchior, C.R.P. & Caprace, J.-D., 2018. "Optimising the engine-propeller matching for a liquefied natural gas carrier under rough weather," Applied Energy, Elsevier, vol. 232(C), pages 187-196.
    6. Urbanucci, Luca & Bruno, Joan Carles & Testi, Daniele, 2019. "Thermodynamic and economic analysis of the integration of high-temperature heat pumps in trigeneration systems," Applied Energy, Elsevier, vol. 238(C), pages 516-533.
    7. Sun, Xiaojun & Yao, Chong & Song, Enzhe & Yang, Qidong & Yang, Xuchang, 2022. "Optimal control of transient processes in marine hybrid propulsion systems: Modeling, optimization and performance enhancement," Applied Energy, Elsevier, vol. 321(C).
    8. Yuan, Yupeng & Wang, Jixiang & Yan, Xinping & Shen, Boyang & Long, Teng, 2020. "A review of multi-energy hybrid power system for ships," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    9. Francesco Baldi & Fredrik Ahlgren & Tuong-Van Nguyen & Marcus Thern & Karin Andersson, 2018. "Energy and Exergy Analysis of a Cruise Ship," Energies, MDPI, vol. 11(10), pages 1-41, September.

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