A new modelling procedure of the engine room ventilation system for work risk prevention and energy saving
| Autor: | Ángel M. Costa, José Antonio Pérez, José A. Orosa |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Architectural engineering Water transport business.industry Mechanical Engineering 05 social sciences 0211 other engineering and technologies Ocean Engineering 02 engineering and technology law.invention Energy conservation Risk analysis (engineering) Work (electrical) Engine room law Ventilation (architecture) 0501 psychology and cognitive sciences Risk prevention 021108 energy business 050107 human factors Risk management Energy (signal processing) |
| Zdroj: | Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment. 231:863-870 |
| ISSN: | 2041-3084 1475-0902 |
| DOI: | 10.1177/1475090216687148 |
| Popis: | Maritime transport is one of the primary international objectives for energy saving and pollution reduction, in agreement with the International Maritime Organization. Within the most interesting energy-saving topics, the ventilation system of the engine room must be highlighted, which represents about 5% of the nominal power of a modern ship. Nevertheless, its energetic optimization is not simple and must consider also work risk criteria, since the engine room is the hottest and, in consequence, one of the hazardous places in the ship. In this research, a complete three-dimensional computational fluid dynamics model of the engine room of a real ship has been developed in order to identify the hottest places and fully characterize their thermal conditions. On the basis of this analysis, a mathematical model of the maximum working time allowed has been defined, which can be directly used to design an efficient control algorithm for the ventilation system. In a complementary way, the minimum time required to rest in the control engine room to release the cumulated heat has also been analysed, in order to optimize its set-point conditions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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