دورية أكاديمية
A Comparative Study to Estimate Fuel Consumption: A Simplified Physical Approach against a Data-Driven Model
| العنوان: | A Comparative Study to Estimate Fuel Consumption: A Simplified Physical Approach against a Data-Driven Model |
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| المؤلفون: | Alessandro La Ferlita, Yan Qi, Emanuel Di Nardo, Ould el Moctar, Thomas E. Schellin, Angelo Ciaramella |
| المصدر: | Journal of Marine Science and Engineering, Vol 11, Iss 4, p 850 (2023) |
| بيانات النشر: | MDPI AG, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Naval architecture. Shipbuilding. Marine engineering LCC:Oceanography |
| مصطلحات موضوعية: | fuel consumption, data analysis, SNAM, DNN method, Naval architecture. Shipbuilding. Marine engineering, VM1-989, Oceanography, GC1-1581 |
| الوصف: | Two methods were compared to predict a ship’s fuel consumption: the simplified naval architecture method (SNAM) and the deep neural network (DNN) method. The SNAM relied on limited operational data and employed a simplified technique to estimate a ship’s required power by determining its resistance in calm water. Here, the Holtrop–Mennen technique obtained hydrostatic information for each selected voyage, the added resistance in the encountered natural seaways, and the brake power required for each scenario. Additional characteristics, such as efficiency factors, were derived from literature surveys and from assumed working hypotheses. The DNN method comprised multiple fully connected layers with the nonlinear activation function rectified linear unit (ReLU). This machine-learning-based method was trained on more than 12,000 sample voyages, and the tested data were validated against realistic operational data. Our results demonstrated that, for some ship topologies (general cargo and containerships), the physical models predicted more accurately the realistic data than the machine learning approach despite the lack of relevant operational parameters. Nevertheless, the DNN method was generally capable of yielding reasonably accurate predictions of fuel consumption for oil tankers, bulk carriers, and RoRo ships. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2077-1312 |
| Relation: | https://www.mdpi.com/2077-1312/11/4/850; https://doaj.org/toc/2077-1312 |
| DOI: | 10.3390/jmse11040850 |
| URL الوصول: | https://doaj.org/article/f9a009283fcd4905bdc6cd62c31961c4 |
| رقم الأكسشن: | edsdoj.f9a009283fcd4905bdc6cd62c31961c4 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20771312 |
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| DOI: | 10.3390/jmse11040850 |