Third IMO Greenhouse Gas Study 2014
GHG3%20Executive%20Summary%20and%20Report
GHG3%20Executive%20Summary%20and%20Report
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144 <strong>Third</strong> <strong>IMO</strong> GHG <strong>Study</strong> <strong>2014</strong><br />
Table 79 – Emissions of CO 2 and other substances in 2012, 2020 and 2050 (million tonnes)<br />
<strong>Greenhouse</strong><br />
gases<br />
Other<br />
relevant<br />
substances<br />
Scenario 2012 2020 2050<br />
index (2012 = 100) index (2012 = 100) index (2012 = 100)<br />
CO 2 Low LNG 100 108 (107–112) 183 (105–347)<br />
High LNG 100 106 (105–109) 173 (99–328)<br />
CH 4 Low LNG 100 1,600 (1,600–1,700) 10,500 (6,000–20,000)<br />
High LNG 100 7,550 (7,500–7,900) 32,000 (19,000–61,000)<br />
N 2 O Low LNG 100 108 (107–112) 181 (104–345)<br />
High LNG 100 105 (104–109) 168 (97–319)<br />
HFC 100 106 (105–108) 173 (109–302)<br />
PFC – – –<br />
SF 6 – – –<br />
NO x Constant ECA 100 107 (106–110) 161 (93–306)<br />
More ECAs 100 99 (98–103) 130 (75–247)<br />
SO x Constant ECA 100 64 (63–66) 30 (17–56)<br />
More ECAs 100 55 (54–57) 19 (11–37)<br />
PM Constant ECA 100 77 (76–79) 84 (48–159)<br />
More ECAs 100 65 (64–67) 56 (32–107)<br />
NMVOC Constant ECA 100 108 (107–112) 183 (105–348)<br />
More ECAs 100 106 (105–110) 175 (101–333)<br />
CO Constant ECA 100 112 (111–115) 206 (119–392)<br />
More ECAs 100 123 (122–127) 246 (142–468)<br />
3.3.4 Sensitivity to productivity and speed assumptions<br />
The scenario approach to these results allows an evaluation of the sensitivity of maritime transport emissions<br />
to economic growth, fossil fuel energy use, marine fuel mix, market-driven or regulatory efficiency changes<br />
and maritime emissions regulation.<br />
This section discusses the most important remaining sensitivity: the impact of productivity and speed<br />
assumptions on emissions projections.<br />
All the projections presented here assume that the productivity of the fleet returns to long-term average values<br />
without increasing the emissions of individual ships. This is possible if the cause of the current low productivity<br />
is a low cargo load factor of ships. If, however, fleet productivity has decreased because ships have been laid<br />
up or have slowed down, a return to long-term average productivity levels would result in higher emissions.<br />
There are no data that enable the evaluation of whether cargo load factors are below their long-term average<br />
levels and if so by how much. The data on speed and days at sea do show that ships have slowed down and<br />
reduced their number of days at sea since 2007. Productivity of container ships and bulk carriers in 2007 was<br />
at or near a 15-year maximum, while for tankers it was declining but still above the long-term average. Hence,<br />
these factors have contributed to a reduction in productivity.<br />
Figure 88 shows the impact of our assumption that the productivity of different ship types will return to its<br />
long-term average values on the emissions projections. For reasons of clarity, the figure shows the impact<br />
on one scenario; however, the impact on other scenarios is similar. If it is assumed that the productivity of<br />
the fleet will remain at its 2012 level, CO 2 emissions will be 12% higher. This means that if the response to a<br />
transport demand increase is to add proportionately more ships to the fleet, rather than to increase the cargo<br />
load of ships, emissions will be 12% higher.