Introduction

Emissions Connect consists of four modules:

• Fleet monitoring
• Vessel monitoring
• Voyage monitoring
• Voyage simulation

In addition, the Veracity Data Workbench gives you control over your data and is a key building block in the Emissions Connect package.

Fleet monitoring

Key features include filtering functions for year, month, and fleet group. Select the filtering layers you want and review the resulting emissions data. Use the visualization of fleet CII positions within thresholds to learn about overall fleet performance for the selected fleet group.

Vessel monitoring

Select vessel and year and study the resulting visualization of monthly CII score compared with required score, trend of CII per year, and trend of cumulative CII for selected year. Use the mode profile to learn amount of time the ship spends in port, at sea in ballast condition, and at sea in laden condition. 

Voyage monitoring

Select vessel and date range, and click search to display the legs reported within the given time period. Study the key voyage data and CII ratings, including the data quality status and number of issues per leg. If you want to create a voyage statement, select the applicable legs for the voyage, and review the sum of data from the selected legs at the bottom of the table. If there are no data quality issues on the selected legs, you may proceed to generate the voyage statement. Review the draft to ensure the desired voyage is generated, before proceeding with the statement ordering.

Voyage simulation

Select a vessel and enter the main parameters for the voyage. To compare different voyages, either duplicate voyage or create a new voyage. Click calculate to simulate the resulting CII performance.

High-level introduction on the methodology for the Voyage Simulation

• The vessel fuel consumption estimates are based on the DNV MASTER (Mapping of Ship Tracks, Emissions and Reduction potentials) V2 model. The MASTER model uses user inputs, detailed ship specific information and supporting data tables to estimate the energy demand, fuel consumption and emissions of each individual ship while sailing and when in port.
• The ship data providing the basis for the estimates is from IHS Fairplay, but with overrides when more accurate data is available to DNV and use of machine learning to impute missing model parameters.
• The model is capable of accounting for the effects for weather data and sea state, but currently there are currently no input options to include this capability.

 

Input to the model

From	Start-port of voyage (free text – for reference only)
To	End-port of voyage (free text – for reference only)
Mode	Select (In port/Manoeuvring/At sea) – affects calculations
Laden/Ballast	Select - affects calculations
Fuel Type	Select (HFO/MGO/LNG/Battery) - affects calculations
Distance (nm)	Nautical miles – input, or calculated based on Hours and Avg. speed
Hours	Input, or calculated based on Distance and Avg. speed
Adjustment (%)	Possibility to adjust the estimated fuel consumption by any given % (negative or positive). This way, the expected effects of wind, sea-state, currents and use of shore power or alternative fuels, may be adjusted for.
Avg. Speed (kn)	Average speed in knots – input, or calculated based on Hours and Distance

 

Output from the model

Pre-voyage CII	CII calculated based on the reported data up to the current date
Voyage CII	CII calculated based on the input data for the simulated voyage
Post-voyage CII	CII after combining Pre-voyage CII and Voyage CII
Fuel consumption (tons)	Estimated fuel consumption for the simulated voyage based on the given input
Ton fuel per day	Estimated ton fuel per day based on the given input
CO2 (tons)	Estimated ton CO2 per day based on the given input