Third IMO Greenhouse Gas Study 2014
GHG3%20Executive%20Summary%20and%20Report
GHG3%20Executive%20Summary%20and%20Report
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
128 <strong>Third</strong> <strong>IMO</strong> GHG <strong>Study</strong> <strong>2014</strong><br />
Business as usual and policy scenarios<br />
The Second <strong>IMO</strong> GHG <strong>Study</strong> 2009 presented a multitude of scenarios but did not consider any of them to be<br />
BAU. All scenarios presented in this study are combinations of trade scenarios, ship efficiency scenarios and<br />
emissions scenarios. The trade scenarios are based on combinations of RCPs and SSPs and, as discussed in<br />
detail in Section 3.2.2, all four are equally likely to occur. Their differences reflect either inherent uncertainties<br />
about the future (e.g. economic development, demographics and technological development), or uncertainties<br />
related to policy choices outside the remit of <strong>IMO</strong> (e.g. climate, energy efficiency or trade policies). In many<br />
cases, these uncertainties are interrelated and cannot be disentangled.<br />
The ship efficiency and emissions scenarios can be classified in two groups. Each of the scenarios has an<br />
option in which no policies are assumed beyond the policies that are currently in place, and one in which<br />
<strong>IMO</strong> continues to adopt policies to address air emissions or the energy efficiency of ships. The first type is<br />
labelled BAU, as it does not require policy interventions. In this way, each of the four trade scenarios has<br />
one BAU variant and three policy intervention variants. As both policy interventions result in lower GHG<br />
emissions, all policy intervention scenarios have emissions below the BAU scenario. These lower emission<br />
scenarios require additional policies beyond those that are currently adopted.<br />
Marginal abatement cost curves<br />
This study employs MACCs containing 22 measures in 15 groups (measures within the same group are<br />
mutually exclusive), taking into account the fact that measures may be applicable to certain ship types only.<br />
The benefit of using MACCs over holistic efficiency improvement assumptions is that they allow for feedback<br />
between fuel prices and improvements in efficiency.<br />
MARPOL Annex VI revisions (EEDI, SEEMP)<br />
After the publication of the Second <strong>IMO</strong> GHG <strong>Study</strong> 2009, State Parties adopted a new chapter for MARPOL<br />
Annex VI on energy efficiency for ships, mandating EEDI for new ships and SEEMP for all ships. The impact of<br />
these regulations on the energy efficiency of ships is analysed and included in the model.<br />
Ship types<br />
Since the Second <strong>IMO</strong> GHG <strong>Study</strong> 2009, there has been a remarkable increase in ship size, especially for<br />
container ships. The earlier study assumes that all container ships over 8,000 TEU would have an average<br />
size of 100,000 dwt, but in 2011 the size of the average new-build ship had increased to 125,000 dwt, while<br />
ships of 165,000 dwt have entered the fleet and larger ones are being studied. Larger ships are more efficient,<br />
i.e. they require less energy to move an amount of cargo over an amount of distance. In response, this study<br />
analyses the development of ship types in the last year and includes new categories for the largest ships.<br />
3.1.2 Outline<br />
The remainder of this chapter is organized as follows. Section 3.2 provides a brief description of the methods<br />
and data used to project emissions. It begins by presenting the emissions model, the factors taken into account<br />
in our projections and the long-term scenarios used as a basis for our projections. All the relevant factors of the<br />
projections are then discussed individually, showing which assumptions are made in each case and the basis<br />
on which they are made. Section 3.3 presents the projections of international maritime transport demand and<br />
associated emissions of CO 2 and of other relevant substances up to 2050.<br />
3.2 Methods and data<br />
3.2.1 The emissions projection model<br />
The model used to project emissions starts with a projection of transport demand, building on long-term<br />
socioeconomic scenarios developed for IPCC (see Section 3.2.2). Taking into account developments in fleet<br />
productivity (see Section 3.2.4) and ship size (see Section 3.2.5), it projects the fleet composition in each year.<br />
Subsequently, it projects energy demand, taking into account regulatory and autonomous improvements in<br />
efficiency (see Section 3.2.6). Fuel consumption is calculated together with the fuel mix (see Section 3.2.7);