Physical and Data-Driven Models Hybridisation for Modelling the Dynamic State of a Four-Stroke Marine Diesel Engine

2021 ◽  
pp. 145-193
Author(s):  
Andrea Coraddu ◽  
Miltiadis Kalikatzarakis ◽  
Gerasimos Theotokatos ◽  
Rinze Geertsma ◽  
Luca Oneto
Keyword(s):  
Diesel Engine ◽  
Data Driven ◽  
Dynamic State ◽  
Marine Diesel Engine ◽  
Marine Diesel

Machine learning-based wear fault diagnosis for marine diesel engine by fusing multiple data-driven models

2020 ◽  
Vol 190 ◽  
pp. 105324 ◽  
Author(s):  
Xiaojian Xu ◽  
Zhuangzhuang Zhao ◽  
Xiaobin Xu ◽  
Jianbo Yang ◽  
Leilei Chang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Fault Diagnosis ◽  
Diesel Engine ◽  
Data Driven ◽  
Marine Diesel Engine ◽  
Multiple Data ◽  
Marine Diesel

scholarly journals Identification of emission indicators harmful compounds for assessment of dynamic state of a marine diesel engine

2019 ◽  
Vol 178 (3) ◽  
pp. 247-251
Author(s):  
Artur BOGDANOWICZ ◽  
Ryszard ZADRĄG
Keyword(s):  
Diesel Engine ◽  
Diesel Engines ◽  
Propulsion System ◽  
Dynamic State ◽  
Marine Diesel Engine ◽  
Single Base ◽  
Marine Diesel ◽  
Engine Dynamic ◽  
Dynamic States ◽  
State Analysis

The operation of a ships propulsion system is a variable process in time, which is described in both static and dynamic states. The mutual proportions between them depend primarily on a type of ship and tasks to which it was designed. In a case of special units of particular use (e.g. warships) and ships, which operate on narrow waters such as canals or port basins, participation of dynamic states is increasing significantly. Hence a necessity to analyze the dynamic states of marine diesel engines, among others in terms of their increased harmful compounds emission. The paper presents a methodology of engine dynamic state analysis, emission indicators that can be used to assess the dynamic state of a ship have been proposed. As an example of application, the analysis of harmful compounds emissions during dynamic states while a real cruise of navy ship has been carried out. It has been also proposed to use simple dynamics indicators such as single-base and chain indexes to describe the change in concentrations of harmful compounds in dynamic states.

Selection of a Waste Heat Recovery System for a Marine Diesel Engine Based on Exergy Analysis

2016 ◽  
Vol 25 ◽  
pp. 36-51
Author(s):  
Salman Abdu ◽  
Song Zhou ◽  
Malachy Orji
Keyword(s):  
Diesel Engine ◽  
Heat Recovery ◽  
Waste Heat Recovery ◽  
Waste Heat ◽  
Marine Diesel Engine ◽  
Exergetic Efficiency ◽  
Waste Heat Recovery System ◽  
Recovery System ◽  
Heat Recovery System ◽  
Marine Diesel

Highly increased fuel prices and the need for greenhouse emissions reduction from diesel engines used in marine engines in compliance with International Maritime Organization (IMO) on the strict regulations and guidelines for the Energy Efficiency Design Index (EEDI) make diesel engine exhaust gas heat recovery technologies attractive. The recovery and utilization of waste heat not only conserves fuel, but also reduces the amount of waste heat and greenhouse gases dumped to the environment .The present paper deals with the use of exergy as an efficient tool to measure the quantity and quality of energy extracted from waste heat exhaust gases in a marine diesel engine. This analysis is utilized to identify the sources of losses in useful energy within the components of the system for three different configurations of waste heat recovery system considered. The second law efficiency and the exergy destroyed of the components are investigated to show the performance of the system in order to select the most efficient waste heat recovery system. The effects of ambient temperature are also investigated in order to see how the system performance changes with the change of ambient temperature. The results of the analysis show that in all of the three different cases the boiler is the main source of exergy destruction and the site of dominant irreversibility in the whole system it accounts alone for (31-52%) of losses in the system followed by steam turbine and gas turbine each accounting for 13.5-27.5% and 5.5-15% respectively. Case 1 waste heat recovery system has the highest exergetic efficiency and case 3 has the least exergetic efficiency.

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