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Robust approach to data critical to meet emissions targets, says GreenSteam

fiona by fiona
May 10, 2021
in Operations and Management
0
GreenSteam: making AI analytics accessible
According to GreenSteam, there are 17 key parameters that affect the performance of a vessel

Shipping companies must ensure they have robust data collection and analysis processes in place, or risk being unable to meet internal and regulatory decarbonisation targets in time – such are the findings of a recent industry poll posed by GreenSteam, developers of vessel performance optimisation solutions. 

The introduction of the International Maritime Organization’s (IMO) greenhouse gas (GHG) strategy calls for a 70 per cent reduction in carbon intensity and a minimum 50 per cent decrease in total annual emissions from international shipping by 2050 compared with 2008 levels. This has spurred a flurry of environmental activity across all sectors as first-movers reduce emissions and set targets for net zero emissions ahead of the IMO targets.

However, despite these looming goals, and the efforts of the industry’s larger corporations, a poll posed by GreenSteam to around 200 attendees of the recent webinar hosted by Digital Ship, Analytics and advice using low frequency vessel data & data collection via seafarer apps, found that many shipping organisations are yet to firm up their emission reduction strategies. 15 per cent of polled attendees admitted that they did not know where to start in order to reduce emissions, and 52 per cent are still researching the best methods for meeting the IMO’s targets.

International regulations, such as the IMO Ship Energy Efficiency Management Plan (SEEMP) and Energy Efficiency Operational Indicator (EEOI), provide shipping companies with a metric for operational efficiency against which improvements can be measured. However, progress can often rely on a “trial-and-error” approach. Most recommendations seem to target energy saving device (ESD) retrofits or lower emission fuels, and often do not address targeted actions which can be taken today to reduce emissions.

Simon Whitford, chief executive officer, GreenSteam, said: “GHG emissions accumulate and remain in the atmosphere for extended periods – adding urgency to the many good steps that can be taken today.

“Applying data intelligence to your fleet is the best way to collate and fully understand your fleet’s emissions profile. Owners and operators who invest in advanced data analytics can identify those operational practices which are behind most of their emissions. This provides critical insights to inform effective emissions reduction strategies.”

GreenSteam’s AI platform uses machine learning to assess the impact of around 13 key factors that influence fuel consumption on each individual ship, including fouling, speed and trim. The platform provides shipowners and charterers with actionable advice that, if implemented, can cut fuel bills and significantly reduce emissions.

Mr Whitford continued: “Analysing the individual components of EEOI can give owners and operators a useful breakdown of emissions by source.

“GreenSteam can provide something akin to an itemised ‘receipt’ of carbon emissions over several addressable performance factors. This level of granular and transparent reporting enables shipowners, operators, and charterers to target optimisation to where it will have the most impact.”

To find out more about GreenSteam data solutions and analytics, the Digital Ship-hosted webinar can be viewed in full here: https://www.youtube.com/watch?v=emK0V5IZ-To

Tags: Artificial IntelligenceDataGreenSteamMachine Learning
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