Marine Diesel Engine Exhaust Emissions Measured in Ship's Dynamic Operating Conditions.

artificial neural network dynamic states hydrographic survey vessel ports ship emissions

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
18 Nov 2020
Historique:
received: 26 10 2020
revised: 13 11 2020
accepted: 16 11 2020
entrez: 21 11 2020
pubmed: 22 11 2020
medline: 22 11 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33218016
pii: s20226589
doi: 10.3390/s20226589
pmc: PMC7698716
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sci Total Environ. 2017 Mar 1;581-582:186-198
pubmed: 28062109
Sci Total Environ. 2019 Feb 10;650(Pt 1):575-584
pubmed: 30205347
Environ Pollut. 2020 Feb;257:113542
pubmed: 31733971

Auteurs

Artur Bogdanowicz (A)

Faculty of Mechanical and Electrical Engineering, Polish Naval Academy, 81-103 Gdynia, Poland.

Tomasz Kniaziewicz (T)

Faculty of Mechanical and Electrical Engineering, Polish Naval Academy, 81-103 Gdynia, Poland.

Classifications MeSH