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Third IMO Greenhouse Gas Study 2014

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102 <strong>Third</strong> <strong>IMO</strong> GHG <strong>Study</strong> <strong>2014</strong><br />

Year<br />

Table 39 – Annual emissions of refrigerants from the global fleet<br />

and estimated shares of different refrigerants<br />

Refrigerant emissions,<br />

tons, reefer TEU excluded<br />

Low bound, tons High bound, tons %, R-22 %, R134a %, R404<br />

2007 8,185 5,926 10,444 80% 17% 4%<br />

2008 8,349 6,045 10,654 77% 19% 4%<br />

2009 8,484 6,144 10,825 75% 21% 4%<br />

2010 8,709 6,307 11,110 73% 23% 4%<br />

2011 8,235 5,967 10,503 71% 24% 4%<br />

2012 8,412 5,967 10,726 70% 26% 4%<br />

UNEP 2010 7,850<br />

Non-exhaust emissions of NMVOCs from ships<br />

The reported global crude oil transport in 2012 was 1,929 million tons (UNCTAD Review of Maritime Transport<br />

2013). This study applies the same methodology as the Second <strong>IMO</strong> GHG <strong>Study</strong> 2009 and uses the net<br />

standard volume (= NSV at bill of lading - NSV at out-turn) loss of 0.177%. This corresponds to 0.124% mass<br />

loss and results in VOC emissions of 2.4 million tons, which is very close to the value of the 2009 study figures<br />

for 2006 (crude oil transport 1,941 million tons, VOC emissions 2.4 million tons).<br />

2.2 Bottom-up other relevant substances emissions calculation method<br />

2.2.1 Method<br />

Three primary emission sources are found on ships: main engine(s), auxiliary engines and boilers. The<br />

consortium studied emissions from main and auxiliary engines as well as boilers in this report. Emissions from<br />

other energy-consuming sources were omitted because of their small overall contribution. Emissions from<br />

non-combustion sources, such as HFCs, are estimated consistent with the Second <strong>IMO</strong> GHG <strong>Study</strong> 2009<br />

methods.<br />

2.2.2 Main engine(s)<br />

Emissions from the main engine(s) or propulsion engine(s) (both in terms of magnitude and emissions factor)<br />

vary as a function of main engine rated power output, load factor and the engine build year. The main engine<br />

power output and load factor vary over time as a result of a ship’s operation and activity specifics: operational<br />

mode (e.g. at berth, anchoring, manoeuvring), speed, loading condition, weather, etc. Emissions are also<br />

specific to a ship, as individual ships have varying machinery and activity specifications. The bottom-up<br />

model described in Section 1.2 calculates these specifics (main engine power output and load factor) for each<br />

individual ship in the global fleet and for activity over the year disaggregated to an hourly basis. This same<br />

model is therefore used for the calculations of the other main engine emissions substances.<br />

2.2.3 Auxiliary engines<br />

Emissions from auxiliary engines (both in terms of magnitude and emissions factor) vary as a function of<br />

auxiliary power demand (typically changing by vessel operation mode), auxiliary engine rated power output,<br />

load factor and the engine build year. Technical and operational data about auxiliary engines are often missing<br />

from commercial databases, especially for older ships (constructed before 2000). Technical data (power rating,<br />

stroke, model number, etc.) for auxiliary engines of new vessels can be found much more frequently than for<br />

those of old vessels; however, these form a very small percentage of the entire fleet. There are typically two or<br />

more auxiliary engines on a ship and the number and power rating (not necessarily the same for all engines on<br />

a ship) of each engine is determined by the ship owner’s design criteria. This means that the actual operation<br />

of the specific auxiliary engines, by vessel type and operational mode, can vary significantly from ship to<br />

ship. There are no commercial databases that provide these operational profiles on the basis of operational<br />

mode or vessel class. This lack of data will hinder the determination of auxiliary engine power estimation<br />

using predetermined auxiliary engine load levels. For this reason, the approach taken in this study is based<br />

on the vessel surveys conducted by Starcrest for various ports in North America. These surveys allow the<br />

determination of auxiliary engine power requirements or total auxiliary loads in various operating modes of

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