Faculty of Mechanical and Electrical Engineering, Polish Naval Academy, 81-103 Gdynia, Poland.
Sensors (Basel). 2020 Nov 18;20(22):6589. doi: 10.3390/s20226589.
The paper presents the results of research on measuring the emissions from marine diesel engines in dynamic states. The problem is as follows: How to measure emissions of the composition of exhaust gases on board a ship, without direct measurement of fuel consumption and an air flow to marine diesel engine, during maneuvering the ship in the port area. The authors proposed a measurement methodology using an exhaust gas analyzer with simultaneous recording of the load indicator, engine speed, inclinometer, and Global Positioning System (GPS) data. Fuel consumption was calculated based on mean indicated pressure (MIP) tests. Recorded data were processed in the LabView systems engineering software. A simple neural network algorithm was used to model the concentrations of ingredients contained in engine exhaust gases during dynamic states. Using the recorded data, it is possible to calculate the emissions of the composition of exhaust gases from the marine diesel engine and calculate the route emissions of the tested vessel.
本文介绍了在动态状态下测量船用柴油机排放的研究结果。问题如下：如何在船舶机动时测量港口区域内船舶的废气成分排放，而无需直接测量燃料消耗和进入船用柴油机的空气流量。作者提出了一种使用带有同时记录负荷指示器、发动机转速、倾斜仪和全球定位系统 (GPS) 数据的废气分析仪的测量方法。燃料消耗是基于平均指示压力 (MIP) 测试计算的。记录的数据在 LabView 系统工程软件中进行处理。使用简单的神经网络算法来模拟动态状态下发动机废气中所含成分的浓度。使用记录的数据，可以计算出船用柴油机废气成分的排放量，并计算出测试船舶的航线排放量。
