Third IMO Greenhouse Gas Study 2014
GHG3%20Executive%20Summary%20and%20Report
GHG3%20Executive%20Summary%20and%20Report
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176 <strong>Third</strong> <strong>IMO</strong> GHG <strong>Study</strong> <strong>2014</strong><br />
The model can perform calculations for ships only for which there are both activity and IHSF technical data<br />
available; these are referred to as “matched ships”. Procedures for estimating the fuel demands and emissions<br />
of ships that are not matched are described in the section on fleet estimation.<br />
Table 10 – Description of bottom-up model subroutines and calculation stages<br />
Subroutine<br />
Read_fleet<br />
Read_status<br />
Emissions_in<br />
Type_size_match<br />
EF_match<br />
Active_calcs<br />
Power_at_op<br />
Emissions_at_op<br />
Assemble<br />
Output<br />
Description<br />
Reads in and formats data from the database structure containing ship technical characteristics<br />
Reads in and formats data from the database structure containing ship quarterly status definition<br />
Reads in the emissions factor data for all engine types, fuel types and emissions species<br />
Reads in additional assumptions characterizing aggregate ship type and size fleets<br />
For each matched ship, looks up the machinery specification to identify the appropriate emissions<br />
factors from Emissions_in<br />
For each matched ship, uses the data describing hourly observations of a ship’s activity in a series of<br />
subroutines to estimate hourly power demands, fuel consumption and emissions<br />
Calculates the power demanded from main engine, auxiliary engine and boiler for each hour of<br />
observed and extrapolated activity<br />
Calculates the fuel consumed and emissions (nine species) for each hour of observed and<br />
extrapolated activity<br />
Calculates a series of annual and quarterly statistics to characterize activity, power, fuel use and<br />
emissions for each matched ship<br />
Structures and writes the databases produced in Assemble for producing aggregate statistics,<br />
performing QA/QC, and undertaking uncertainty analysis<br />
Algorithms for reading in and formatting input databases do not manipulate the data and therefore are not<br />
described in greater detail here. However, there are a number of subroutines that perform operations on the<br />
activity data, technical data or both, and for transparency the method used in those steps is described in<br />
greater detail below.<br />
Powering subroutine: Power_at_op<br />
This subroutine estimates the main, auxiliary and boiler power output in a given hour of operation. The main<br />
engine’s power output is dominated by the propulsion requirements of the ship, which in turn is dominated<br />
by the operation (speed, draught) and condition (hull condition, environmental conditions). The auxiliary and<br />
boiler power demands are a function of service loads (including cargo operations), and vary depending on<br />
the cargo carried, the operation of the main machinery and the mode of operation (e.g. whether the ship is at<br />
berth, at anchor, at sea, etc.).<br />
Key assumptions<br />
Some ships have shaft generators, which produce electrical power for auxiliary systems from the propeller<br />
shaft. This represents main engine power output that would be additional to the propulsion power demand<br />
and would be expected to reduce the power output of the auxiliary machinery. There is no data in the IHSF<br />
database that could be used to reliably determine whether a ship is equipped with a shaft generator, and so an<br />
assumption was applied that for all ships, only the main engine produces propulsion power and only auxiliary<br />
engines produce service power. This assumption should not significantly impact the total power produced,<br />
but because main engines/shaft generators and auxiliary engines have different specific fuel consumptions<br />
and emissions factors, there will be an effect on these calculations which is discussed in greater detail in<br />
Sections 1.5 and 2.5.<br />
A number of ships recover energy from waste heat (either exhaust, jacket waste heat or cooling water waste<br />
heat). This recovered energy can be used to provide both propulsion and service power supply, which reduces<br />
the power demands on the main engine, auxiliary engines and boiler to produce a given level of performance/<br />
service. The assumption applied for these calculations is that the majority of these reductions occur in the<br />
auxiliary and boiler systems, and that any reductions in their power demands are already factored in to the<br />
empirically derived power outputs. For the small number of ships that use waste-heat recovered energy for<br />
propulsion, this will be misrepresented by the model as written. The consequence can be observed in the<br />
discussion on quality of the bottom-up model in Section 1.4.