
Reports: PowerCaptain
Fuel Waste Monitoring Dashboard
Tugboat operations are often affected by subtle inefficiencies—excessive lightsailing speeds, prolonged idling, and unnecessary mileage—all of which silently drive up fuel costs and emissions. The Fuel Waste Monitoring Dashboard, powered by PowerCaptain, provides both fleet-wide and vessel-specific visibility into these hidden fuel waste drivers. It quantifies operational patterns such as over-speeding during non-tow transits, waiting time at idle, and redundant mileage logged without productive outcomes.
By visualizing these inefficiencies over time and comparing against optimized baselines, the dashboard empowers managers to identify high-impact savings opportunities. Whether it's reducing idle time at berth, optimizing harbor routes, or enforcing eco-speed protocols during lightsailing, this tool enables data-backed decisions that enhance efficiency and support sustainability targets. With transparent metrics and color-coded analytics, the Fuel Waste Monitoring Dashboard is a critical tool for any tugboat operator seeking to cut costs while improving environmental performance across port operations.

Ports Explored

Worldwide Annual Cost Savings

KGs of CO2 saved
Report overview
How the Fuel Waste Monitoring Dashboard can help your business
This report presents an example analysis using LionRock Maritime’s Fuel Waste Monitoring Dashboard, powered by PowerCaptain, to demonstrate how operational fuel inefficiencies can be monitored, analyzed, and reduced. The dashboard captures key drivers of fuel waste—including excessive lightsailing speeds, unnecessary idling, and redundant mileage—across fleet, vessel, and captain levels. It highlights patterns of inefficiency and their operational implications, offering data-driven insight to guide behavior change and procedural improvements.
By identifying when and where fuel is being consumed without adding value, the dashboard enables tug operators to take targeted actions that improve both environmental performance and cost efficiency. This report showcases the broader benefits of data-informed fuel management in supporting accountability, sustainability, and smarter decision-making within port and harbor operations.

Insight 1
Unnecessary Speeding
This view highlights the proportion of time tugboats exceed recommended eco-efficient speed limits during light sailing, but also indicates if that speeding was ncessary or not. This is calculated by measuring if the time between jobs was sufficient to mobilize at an ECO efficient speed (8knots) or not. It hence allows to break down speeding into necessary and unnecessary speeding. The latter of course provides an opportunity for efficiency improvements.
Over time, this data can reveal patterns and behavioral shifts, confirm alignment with internal targets, and guide the establishment of operational best practices. Ultimately, this insight supports continuous improvement efforts, ensuring safer, more sustainable, and cost-effective operations for the entire tug fleet.

Insight 2
Waiting and Idling Impact
This view highlights the periods when tugboats experience operational waiting or idling. These intervals, although not always avoidable, can lead to excessive fuel use if engines remain running at high RPMs or auxiliary systems are not optimally managed.
By quantifying and visualizing the duration of these idle periods across jobs, captains and customers, the dashboard helps uncover hidden patterns of inefficiency. It can reveal how idling varies by job type, customer, or even crew practices—offering critical insights to inform targeted improvements. With this understanding, fleet managers can implement adjustments like refined scheduling or idle-reduction initiatives to minimize fuel burn and enhance overall operational efficiency.

Insight 3
Redundant Mileage
This analysis focuses on the distribution between operational sailing—directly linked to jobs such as towing and assisting—and light sailing, which represents non-productive or repositioning movements. Light sailing - though always a part of tugboat operations - can be optimized by efficient job sequencing, customer selection, or dispatching practices..
By visualizing and quantifying the proportion of time spent in light sailing across different vessels, this dashboard uncovers hidden patterns of redundant mileage. The data helps pinpoint operational gaps, assess job distribution logic, and highlight vessels or routes where non-operational sailing is more prevalent. Over time, these insights can drive more efficient scheduling, improve harbor traffic management, and inform targeted interventions to reduce redundant mileage—ultimately boosting fleet efficiency and lowering fuel costs.
Included Reports
Insights we provide:
- Lightsailing speeds
- Waiting and Idling Impact
- Redundant Milage
We Have Answers
Frequently Asked Questions
What does the “Fuel Waste Monitoring Dashboard” show?
This dashboard provides a comprehensive view of fuel inefficiencies in your tug operations by analyzing light sailing speeds, waiting and idling periods, and redundant mileage. It helps fleet managers identify hidden areas of fuel waste and emissions that can be reduced through better scheduling and operational adjustments.
How can it help us manage light sailing and unnecessary fuel use?
The dashboard highlights how much of your fleet’s sailing time is spent above recommended eco-efficient speed limits—often during repositioning or standby sailing. By pinpointing these instances, you can adjust protocols and training to reduce fuel burn while maintaining vessel responsiveness.
What insights does it offer on waiting and idling periods?
It measures operationally idle periods, such as waiting at berth or between jobs, and links them to job timing and scheduling patterns. This visibility helps you minimize fuel waste from idling by implementing idle-reduction protocols or smarter job sequencing.
How does it help with redundant mileage and routing?
The dashboard identifies and quantifies light sailing (redundant mileage) that doesn’t contribute to active towing or assisting work. By analyzing these patterns, operators can improve berth allocation, dispatch decisions, and vessel-to-job matching to reduce unnecessary transit and lower fuel costs.