A Novel Energy Management Strategy for a Ship’s Hybrid Solar Energy Generation System Using a Particle Swarm Optimization Algorithm
Due to the pressures caused by the energy crisis, environmental pollution, and international regulations, the largest ship-producing nations are exploring renewable resources, such as wind power, solar energy, and fuel cells to save energy and develop more environmentally-friendly ships. Solar energ...
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Veröffentlicht in: | Energies (Basel) 2020-03, Vol.13 (6), p.1380 |
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description | Due to the pressures caused by the energy crisis, environmental pollution, and international regulations, the largest ship-producing nations are exploring renewable resources, such as wind power, solar energy, and fuel cells to save energy and develop more environmentally-friendly ships. Solar energy has recently attracted a great deal of attention from both academics and practitioners; furthermore, the optimization of energy management has become a research topic of great interest. This paper takes a solar-diesel hybrid ship with 5000 car spaces as its research object. Then, following testing on this ship, experimental data were obtained, a multi-objective optimization model related to the ship’s fuel economy and diesel generator’s efficiency was established, and a partial swarm optimization algorithm was used to solve a multi-objective problem. The results show that the optimized energy management strategy for a hybrid energy system should be tested under different electrical loads. Moreover, the hybrid system’s economy should be taken into account when the ship’s power load is high, and the output power from the new energy generation system should be increased as much as possible. Finally, the diesel generators’ efficiency should be taken into consideration when the ship’s electrical load is low, and the injection power of the new energy system should be reduced appropriately. |
doi_str_mv | 10.3390/en13061380 |
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Solar energy has recently attracted a great deal of attention from both academics and practitioners; furthermore, the optimization of energy management has become a research topic of great interest. This paper takes a solar-diesel hybrid ship with 5000 car spaces as its research object. Then, following testing on this ship, experimental data were obtained, a multi-objective optimization model related to the ship’s fuel economy and diesel generator’s efficiency was established, and a partial swarm optimization algorithm was used to solve a multi-objective problem. The results show that the optimized energy management strategy for a hybrid energy system should be tested under different electrical loads. Moreover, the hybrid system’s economy should be taken into account when the ship’s power load is high, and the output power from the new energy generation system should be increased as much as possible. Finally, the diesel generators’ efficiency should be taken into consideration when the ship’s electrical load is low, and the injection power of the new energy system should be reduced appropriately.</description><identifier>ISSN: 1996-1073</identifier><identifier>EISSN: 1996-1073</identifier><identifier>DOI: 10.3390/en13061380</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Algorithms ; Alternative energy sources ; Batteries ; Consumption ; Controllers ; Design ; Diesel ; Diesel fuels ; Diesel generators ; Efficiency ; Electrical loads ; Emissions ; Energy conservation ; Energy management ; energy management strategy ; Environmental regulations ; Fuel economy ; Fuel technology ; Generators ; hybrid solar energy generation system ; International organizations ; International regulations ; Mathematical models ; multi-objective optimization ; Multiple objective analysis ; Optimization ; partial swarm optimization algorithm ; Renewable resources ; Ships ; Simulation ; Solar energy ; Solar power ; Sustainable yield ; Wind power</subject><ispartof>Energies (Basel), 2020-03, Vol.13 (6), p.1380</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c361t-4f4d1b53044b7c1328ec97adec3ddfb366dbbf814a9fcbfd6e6d7e2deb1e65a43</citedby><cites>FETCH-LOGICAL-c361t-4f4d1b53044b7c1328ec97adec3ddfb366dbbf814a9fcbfd6e6d7e2deb1e65a43</cites><orcidid>0000-0001-9474-0605 ; 0000-0001-8169-6588</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,865,2103,27928,27929</link.rule.ids></links><search><creatorcontrib>Yang, Rui</creatorcontrib><creatorcontrib>Yuan, Yupeng</creatorcontrib><creatorcontrib>Ying, Rushun</creatorcontrib><creatorcontrib>Shen, Boyang</creatorcontrib><creatorcontrib>Long, Teng</creatorcontrib><title>A Novel Energy Management Strategy for a Ship’s Hybrid Solar Energy Generation System Using a Particle Swarm Optimization Algorithm</title><title>Energies (Basel)</title><description>Due to the pressures caused by the energy crisis, environmental pollution, and international regulations, the largest ship-producing nations are exploring renewable resources, such as wind power, solar energy, and fuel cells to save energy and develop more environmentally-friendly ships. 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subjects | Algorithms Alternative energy sources Batteries Consumption Controllers Design Diesel Diesel fuels Diesel generators Efficiency Electrical loads Emissions Energy conservation Energy management energy management strategy Environmental regulations Fuel economy Fuel technology Generators hybrid solar energy generation system International organizations International regulations Mathematical models multi-objective optimization Multiple objective analysis Optimization partial swarm optimization algorithm Renewable resources Ships Simulation Solar energy Solar power Sustainable yield Wind power |
title | A Novel Energy Management Strategy for a Ship’s Hybrid Solar Energy Generation System Using a Particle Swarm Optimization Algorithm |
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