GreenSteam has launched a new application to measure fuel consumption to enable smarter artificial intelligence (AI) for optimisation and augmented decision-making
This mobile devices’ program automatically logs and uploads fuel consumption data to a cloud-based server, reducing errors in reporting.
GreenSteam introduced this application as a recent study found more than 30% of ship noon reports were unusable due to errors.
This study also found 19% of on-voyage reports are unusable due to poor data, such as duplicate readings, missing steaming hours, overlapping reports, blank input, or impossibly high or low readings.
When these reports are used to analyse vessel operations, they provide a false picture of performance and any resulting decisions are based on inaccurate information.
These errors can be minimised by using the GreenSteam Capture automatic data logging program.
“Inaccuracies in fuel consumption data can lead to major discrepancies between what is reported, and how much fuel is actually burned,” said GreenSteam chief executive Simon Whitford.
This application provides stakeholders with greater transparency into accurate vessel fuel consumption data to improve decision making at all levels of the business.
“Data precision is at the heart of GreenSteam’s accurate AI models for each vessel, which are essential for optimal decisions around vessel speed, hull cleaning and trim,” said Mr Whitford.
GreenSteam Capture uses optical character recognition technology to automatically record and timestamp flow meter readings.
When combined with bunker delivery information, the app can accurately calculate hourly fuel consumption data for any vessel.
“GreenSteam Capture removes that margin for error and provides owners and operators with a complete ecosystem for fuel meter reading, validation and auditing, resulting in greater security for both business performance and resilience,” said Mr Whitford.
It lifts the burden of traditional manual data collection and reporting from crew, “and results in a greater volume and higher quality of data that can better inform operational decisions,” said Mr Whitford.
“In turn, these decisions mean vessel owners and fleet managers can reap greater benefits from GreenSteam’s AI technology to optimise vessel operations for measurable cost savings.”
GreenSteam Capture can be accessed via tablets, which can be easily transferred between time charter ships, with information sent directly to shore.
It can send data to GreenSteam’s AI platform and trigger configurable smart alerts, providing operators, owners and charterers with real-time notifications that target factors affecting vessel performance.
GreenSteam chief executive Simon Whitford will explain more details of this application and cloud-based services for optimising vessel operations during Riviera’s Vessel optimisation in the age of low carbon shipping webinar on 10 December, along with executives from d’Amico Group and classification society RINA