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
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
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