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基于数据分析的动力定位船舶发电机组运行优化

Operation Optimization of Dynamic Positioning Ship Generator Set Based on Data Analysis
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摘要 以动力定位船舶柴油发电机组为研究对象,通过优化发电机组的运行策略,提升动力定位船舶的能效,进而实现节能减排的目标。对船舶航行、靠泊和动力定位3种工况下发电机组负荷数据进行处理,采用主成分分析法(prncipal component analysis,PCA)和因子载荷矩阵热力图获得发电机组负荷的关键主成分,并据此评价发电机组使用合理性,在船舶作业安全许可范围内,对发电机组运行优化。结果表明,通过调整发电机数量和功率分配,可以提升船舶能效,减少油耗。 The study focused on the diesel generator sets of dynamically positioned vessels,aiming to enhance the energy efficiency of these vessels by optimizing the operational strategies of the generator sets,thereby achieving the goals of energy conservation and emission reduction.The load data of the generator sets under three working conditions sailing,berthing,and dynamic positioning(DP)were analyzed.Principal Component Analysis(PCA)and factor loading matrix heatmaps were applied to identify the key principal components of the generator set loads.Based on these findings,the rationality of generator set usage was evaluated,and operational optimization was implemented within the safety limits of vessel operations.The results demonstrated that by adjusting the number of operating generators and optimizing power distribution,the energy efficiency of the vessels can be significantly improved,resulting in reduced fuel consumption.
作者 郑齐清 陈佳鑫 俞文胜 ZHENG Qiqing;CHEN Jiaxin;YU Wensheng(School of Transportation and Navigation,Quanzhou Normal University,Quanzhou Fujian 362000,China)
出处 《泉州师范学院学报》 2025年第2期68-74,112,共8页 Journal of Quanzhou Normal University
基金 福建省中青年教师教育科研项目(JAT220279) 泉州师范学院大学生创新创业训练计划项目(202310399088)。
关键词 动力定位船舶 节能减排 发电机组 主成分分析法 dynamically positioned vessel energy conservation and emission reduction generator set principal component analysis
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