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Once we have developed modules, methods and tools in the project, they can be found on this page.

The detailed descriptions of the methodologies respond to the widespread need in the modelling community to share methodologies and input data for the further improvement of integrated assessment and energy‐economy modelling. The toolbox includes new model components, mathematical formulae, algorithmic approaches, examples of model code, and generic input datasets and instructions for implementation.

Long-term marginal abatement cost curves of non-CO2 greenhouse gases

This dataset represents long-term marginal abatement cost (MAC) curves of all major emission sources of non-CO2 greenhouse gases (GHGs); methane (CH4), nitrous oxide (N2O) and fluorinated gases (HFCs, PFCs and SF6). The work is based on existing short-term MAC curve datasets and recent literature on individual mitigation measures. The data represent a comprehensive set of MAC curves, covering all major non-CO2 emission sources for 26 aggregated world regions. They are suitable for long-term global mitigation scenario development, as dynamical elements (technological progress, removal of implementation barriers) are included. The data is related to the research article Harmsen et al. (2019) “Long-term marginal abatement cost curves of non-CO2 greenhouse gases” (https://doi.org/10.1016/j.envsci.2019.05.013)

Module elements

The datasets contain CH4 and N2O (Data_MAC_CH4N2O_Harmsen et al._PBL) and fluorinated gas (Data_MAC_F-gases_Harmsen et al._PBL) marginal abatement cost (MAC) curves for all major global emission sources. Values represent relative emission reductions for the different emission sources at different marginal cost levels for the period 2015e2100 (not all intermediate years are provided, but values between subsequently provided years can be linearly interpolated). Two sets are made available: 1) One baseline-independent set with relative reductions compared to the global average emission factor in 2015 for the emission source concerned. Negative values represent a higher emission factor than the global average in 2015. 2) One set compatible with the IMAGE SSP2 baseline scenario (with “SSP200 in the name of the sheet). Source-specific emission reductions in SSP2 are deducted from the reductions in the baseline-independent MACs. Implementation costs are provided in (2005/2010) $/tonne of C equivalents, assuming the use of the AR4 100 yr GWP potential.

The MAC curves represent the combined reduction potential of all relevant mitigation measures at specific marginal costs for a specific emission source and country or region. In order to be relevant for long term climate policy projections, they account for future changes in reduction potential and costs, due to 1) technological learning and 2) removal of implementation barriers. The MAC curves developed in this study are based on a combination of existing datasets and an assessment of individual mitigation options described in literature.

Link to code/data

The data files can be downloaded here: https://doi.org/10.1016/j.dib.2019.104334

How to use the module

For integrated assessment modelling teams, the recommendation is to use the first dataset: baseline-independent set with relative reductions compared to the global average emission factor in 2015 for the emission source concerned. Note that, when implementing these MACs in an IAM, relative emission reductions as represented in the dataset cannot simply be deducted from the baseline emissions. The model should take into account emission reductions already taking place in the baseline.

License information

The study has been published open access under a Creative Commons licence. The data can be freely used by all parties.

Publications

Mathijs J.H.M. Harmsen, Detlef P. van Vuuren, Dali R. Nayak, Andries F. Hof, Lena H€oglund-Isaksson, Paul L. Lucas, Jens B. Nielsen, Pete Smith, Elke Stehfest (2019) Long-term marginal abatement cost curves of non-CO2 greenhouse gases, Environ. Sci. Policy 99  136e149. https://doi.org/10.1016/j.envsci.2019.05.013

Mathijs J.H.M. Harmsen, D.P. van Vuuren, D.R. Nayak, A.F. Hof, L. Höglund-Isaksson, P.L. Lucas, J.B. Nielsen, P. Smith, E. Stehfest (2019) Data for long-term marginal abatement cost curves of non-CO2 greenhouse gases, Data Brief, 25, p. 104334, https://doi.org/10.1016/j.dib.2019.104334