US-based ESRG adds total vessel power analytics to OstiaEdge to help optimize fuel consumption for a vessel or across a fleet.
OstiaEdge® now integrates shaft torque, weather and environmental data, fuel consumption and draft & displacement with its existing equipment performance analytics to provide real transparency into the performance of a ship or across a fleet.
This comprehensive set of analytics enables ship managers and owners to understand:
- How much fuel is consumed
- How the engine is performing relative to history and other engines How engine performance translates into shaft torque and power
- How much displacement is being moved at what speed through the water
- How external forces like wind and current impact the vessel’s movement
- How resistance due to hull and propeller condition impacts speed and efficiency
OstiaEdge® also provides similar analytics for the auxiliary equipment: how much fuel generators are consuming, how the generators are performing and how auxiliary equipment (electricity consumers) are performing. This information enables operators and fleet managers the ability to make decisions to optimize fuel efficiency and better understand which configurations are less fuel efficient; allowing for resources to be focused on those underperforming assets.
This comprehensive view into how much fuel and power are required to move cargo through water enables better decision making. By understanding the specific drivers of fuel consumption, managers can quickly prioritize and focus resources on the highest impact areas.
For example, managers can now prioritize between hull & propeller maintenance and engine optimization to see where they will achieve the biggest impact. At a fleet level, it enables better resource prioritization across the fleet, ensuring the highest return on investment possible. For example, instead of having each ship’s hull cleaned at a set time period, individual ships can be scheduled for hull cleanings based on their specific operating conditions and the impact the hull condition is having on its performance and fuel efficiency.
These new features add to OstiaEdge’s® existing predictive diagnostic analytics capabilities that provide an automated assessment of the health and performance of different types of shipboard equipment and maintenance recommendations to enable a shift to a Condition Based Maintenance (CBM) strategy.
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