Sizing of a combined series-parallel hybrid architecture for river ship application using genetic algorithm and optimal energy management
| Autor: | Romain Derollepot, Emmanuel Vinot |
|---|---|
| Přispěvatelé: | Laboratoire Transports et Environnement (IFSTTAR/AME/LTE), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université de Lyon |
| Rok vydání: | 2019 |
| Předmět: |
HYBRID ARCHITECTURE
Mathematical optimization General Computer Science Computer science Energy management 010103 numerical & computational mathematics 02 engineering and technology Series and parallel circuits 7. Clean energy 01 natural sciences NAVIRE Theoretical Computer Science Reduction (complexity) [SPI]Engineering Sciences [physics] OPTIMAL CONTROL Genetic algorithm 0202 electrical engineering electronic engineering information engineering 0101 mathematics Numerical Analysis MOTEUR HYBRIDE Applied Mathematics Optimal control SIZING PROCESS Sizing Dynamic programming CONSOMMATION DE CARBURANT Modeling and Simulation RIVER SHIP TRANSPORT FLUVIAL Fuel efficiency 020201 artificial intelligence & image processing |
| Zdroj: | Mathematics and Computers in Simulation Mathematics and Computers in Simulation, Elsevier, 2018, 30 p. ⟨10.1016/j.matcom.2018.09.012⟩ |
| ISSN: | 0378-4754 |
| DOI: | 10.1016/j.matcom.2018.09.012 |
| Popis: | A good way to reduce the fuel consumption of a commercial river ship can be the hybridization of the system. Sizing the system related to its actual use and energy management is then a key-point. In this paper a global sizing method based on Genetic Algorithm and dynamic programming is proposed. It allows the sizing of a complex series-parallel architecture on uses cycles which are developed using measurements on real ship. The study shows potential reduction of fuel consumption around 10%, and proposes some leads to reduce the pollutant emissions. |
| Databáze: | OpenAIRE |
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