Establishing an energy monitoring and management methodology is a quintessential milestone for informed energy savings decision making as well as for effectively reducing the cost and the environmental impact of shipping operations. In this study, a novel systematic methodology is proposed for the energy management of the ship propulsion engine, which is the largest ship energy producer. The methodology employs a combination of tools including statistical analysis, compressor modelling to predict the engine airflow and energy and exergy analyses, whereas its output includes the engine operating profile, the most frequently occurring propeller curves and the engine most frequent operating points, the key performance indicators for quantitatively assessing the recorded parameters quality as well as the energy/exergy flows and the engine components exergy destruction. The methodology is implemented for three case studies for a very large crude carrier, a container ship and a bulk carrier, for which recorded data were available by using different monitoring techniques from either noon reports or automatic data acquisition systems. The derived results provide the engine operating profile demonstrating that the investigated vessels were operating in slow steaming conditions with a lower engine efficiency associated with a greater exhaust gas wasted energy. The measured data analysis demonstrates the better quality of the data recorded by automated monitoring systems and pinpoint maintenance issues of the engine components. Lastly, the exergy analysis results demonstrate that the exhaust gas and jacket cooling water provide the greater exergy flows rendering them attractive for energy saving initiatives, whereas the engine block, compressor and turbine are the engine components with the greater exergy destruction, thus requiring closer monitoring for timely identifying mitigating measures.

建立能源监测和管理方法学是一个明智的里程碑，它有助于制定明智的节能决策，并有效降低运输运营的成本和环境影响。在这项研究中，提出了一种新颖的系统方法，用于最大的船舶能源生产商-船舶推进发动机的能源管理。该方法采用多种工具组合，包括统计分析，压缩机建模以预测发动机气流以及能量和火用分析，而其输出包括发动机运行曲线，最频繁出现的螺旋桨曲线和发动机最频繁运行点，关键性能指标，用于定量评估记录的参数质量以及能量/火用流量和发动机部件的火用破坏。该方法适用于一个非常大的原油运输船，集装箱船和散货船的三个案例研究，通过使用来自中午报告或自动数据采集系统的不同监控技术，可以获得记录的数据。得出的结果提供了发动机的运行曲线，表明所研究的船舶在缓慢的蒸汽条件下运行，发动机效率较低，而废气浪费的能量更大。实测数据分析表明，通过自动监控系统记录的数据质量更高，并且可以准确查明发动机组件的维护问题。最后，