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Development of a low-energy midwater trawl with different combinations of trawl nets and trawl doors through model experiments
Greenhouse gas (GHG) emissions from fisheries are of primary concern because of their effects on the environment. GHG emissions from fisheries are mainly related to their fuel consumption. Furthermore, the fuel consumption of fisheries also influences their economics. Therefore, many studies have be...
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Published in: | Fisheries science 2018-03, Vol.84 (2), p.323-334 |
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container_end_page | 334 |
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container_title | Fisheries science |
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creator | Lee, Jihoon Lee, Chun-Woo Park, Songho Kim, Jieun Park, Subong Kim, Taeho |
description | Greenhouse gas (GHG) emissions from fisheries are of primary concern because of their effects on the environment. GHG emissions from fisheries are mainly related to their fuel consumption. Furthermore, the fuel consumption of fisheries also influences their economics. Therefore, many studies have been conducted to find ways of reducing fuel consumption in fishing operations that use fishing gear. The fuel consumption of fishing gear is generally related to its hydrodynamic resistance and the distance traveled. It mostly depends on the drag created, which is affected by towing speed. Based on model experiments, this study proposes new designs of trawl net and trawl doors to reduce fuel consumption in fisheries. The low-energy midwater trawl developed here can reduce the resistance force on the gear by 37.5%. It can also save 17% of the fuel consumption per voyage. Furthermore, this study investigates the efficiency of a low-energy trawl from an economic point of view. The findings of this study will be useful in reducing GHG emissions in fishing operations and thus contribute to a reduction in fishing costs through fuel savings. |
doi_str_mv | 10.1007/s12562-017-1158-1 |
format | article |
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GHG emissions from fisheries are mainly related to their fuel consumption. Furthermore, the fuel consumption of fisheries also influences their economics. Therefore, many studies have been conducted to find ways of reducing fuel consumption in fishing operations that use fishing gear. The fuel consumption of fishing gear is generally related to its hydrodynamic resistance and the distance traveled. It mostly depends on the drag created, which is affected by towing speed. Based on model experiments, this study proposes new designs of trawl net and trawl doors to reduce fuel consumption in fisheries. The low-energy midwater trawl developed here can reduce the resistance force on the gear by 37.5%. It can also save 17% of the fuel consumption per voyage. Furthermore, this study investigates the efficiency of a low-energy trawl from an economic point of view. The findings of this study will be useful in reducing GHG emissions in fishing operations and thus contribute to a reduction in fishing costs through fuel savings.</description><identifier>ISSN: 0919-9268</identifier><identifier>EISSN: 1444-2906</identifier><identifier>DOI: 10.1007/s12562-017-1158-1</identifier><language>eng</language><publisher>Tokyo: Springer Japan</publisher><subject>Biomedical and Life Sciences ; Costs ; Economics ; Emissions ; Emissions control ; Energy ; Energy consumption ; Environmental effects ; Fish & Wildlife Biology & Management ; Fisheries ; Fishing ; Fishing equipment ; Fishing gear ; Food Science ; Freshwater & Marine Ecology ; Fuel consumption ; Greenhouse effect ; Greenhouse gases ; Hydrodynamics ; Life Sciences ; Midwater trawls ; Original Article ; Otter boards ; Towing ; Trawlnets</subject><ispartof>Fisheries science, 2018-03, Vol.84 (2), p.323-334</ispartof><rights>Japanese Society of Fisheries Science 2017</rights><rights>Fisheries Science is a copyright of Springer, (2017). 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GHG emissions from fisheries are mainly related to their fuel consumption. Furthermore, the fuel consumption of fisheries also influences their economics. Therefore, many studies have been conducted to find ways of reducing fuel consumption in fishing operations that use fishing gear. The fuel consumption of fishing gear is generally related to its hydrodynamic resistance and the distance traveled. It mostly depends on the drag created, which is affected by towing speed. Based on model experiments, this study proposes new designs of trawl net and trawl doors to reduce fuel consumption in fisheries. The low-energy midwater trawl developed here can reduce the resistance force on the gear by 37.5%. It can also save 17% of the fuel consumption per voyage. Furthermore, this study investigates the efficiency of a low-energy trawl from an economic point of view. 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GHG emissions from fisheries are mainly related to their fuel consumption. Furthermore, the fuel consumption of fisheries also influences their economics. Therefore, many studies have been conducted to find ways of reducing fuel consumption in fishing operations that use fishing gear. The fuel consumption of fishing gear is generally related to its hydrodynamic resistance and the distance traveled. It mostly depends on the drag created, which is affected by towing speed. Based on model experiments, this study proposes new designs of trawl net and trawl doors to reduce fuel consumption in fisheries. The low-energy midwater trawl developed here can reduce the resistance force on the gear by 37.5%. It can also save 17% of the fuel consumption per voyage. Furthermore, this study investigates the efficiency of a low-energy trawl from an economic point of view. 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source | ABI/INFORM Global; Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List |
subjects | Biomedical and Life Sciences Costs Economics Emissions Emissions control Energy Energy consumption Environmental effects Fish & Wildlife Biology & Management Fisheries Fishing Fishing equipment Fishing gear Food Science Freshwater & Marine Ecology Fuel consumption Greenhouse effect Greenhouse gases Hydrodynamics Life Sciences Midwater trawls Original Article Otter boards Towing Trawlnets |
title | Development of a low-energy midwater trawl with different combinations of trawl nets and trawl doors through model experiments |
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