ENBIS-17 in Naples

9 – 14 September 2017; Naples (Italy) Abstract submission: 21 November 2016 – 10 May 2017

Mining Operational Shipping Data for Insight into Fuel Consumption and Emissions

12 September 2017, 14:30 – 14:50

Abstract

Submitted by
Shirley Coleman
Authors
Shirley Coleman (ISRU, Newcastle University), Kayvan Pazouki (MAST, Newcastle University), Rose Norman (MAST, Newcastle University), Ibna Zaman (MAST and ISRU, Newcastle University)
Abstract
Vast quantities of shipping data are generated by fleets of vessels and contain valuable operational information about the performance of each vessel. The shipping data can be integrated with observational reports from the crew, loading information, timings and global position system (GPS) details. The enriched data can then yield insight into the natural variation in fuel consumption that can provide a basis on which to make decisions about efficiencies, routes and emissions. This paper reports the process of extracting insight from multiple ferry journeys in the North UK and rationalises the systematic variation underlying the random variation in the datasets.
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