Baştürk Selim, Erol Sercan
Maritime Transportation and Management Engineering, Karadeniz Technical University, Trabzon, 61600 Turkey.
J Mar Sci Technol. 2023 Jun 8:1-16. doi: 10.1007/s00773-023-00947-4.
The impact of fuel consumption on merchant ships is categorized in both economic and environmental ways in terms of sustainable blue growth. Apart from the economic benefits of reducing fuel consumption, attention should be paid to related environmental concerns with ship fuels. As a result of global regulations and agreements concerning mitigating greenhouse gases on board, such as the International Maritime Organization and Paris Agreement, ships have to take a step to reduce fuel consumption to adopt these regulations. The present study aims to determine optimal speed diversity depending on ships' cargo amounts and wind-sea states to reduce fuel consumption. Within this context, one-year voyage data from two model sister Ro-Ro cargo ships were used, including daily ship speed, daily fuel consumption, ballast water consumption, total ship cargo consumption, sea state, and wind state. The genetic algorithm method was used to determine the optimal diversity rate. In conclusion, after speed optimization, optimum speed result values are calculated between 16.59 and 17.29 knots; thus, approximately 18% of exhaust gas emissions were also reduced.
从可持续蓝色增长的角度来看,燃油消耗对商船的影响可从经济和环境两方面进行分类。除了降低燃油消耗带来的经济效益外,还应关注船舶燃料相关的环境问题。由于国际海事组织和《巴黎协定》等关于减少船上温室气体的全球法规和协议,船舶必须采取措施降低燃油消耗以遵守这些规定。本研究旨在根据船舶载货量和风浪状态确定最佳航速差异,以降低燃油消耗。在此背景下,使用了两艘姊妹滚装货船的一年航行数据,包括每日船速、每日燃油消耗、压载水消耗、船舶总载货量、海况和风况。采用遗传算法确定最佳差异率。总之,经过航速优化后,计算出的最佳航速结果值在16.59节至17.29节之间;因此,废气排放量也减少了约18%。