TY  - JOUR
A1  - Harmsen, Mathijs
A1  - Kriegler, Elmar
A1  - van Vuuren, Detlef P.
A1  - van der Wijst, Kaj-Ivar
A1  - Luderer, Gunnar
A1  - Cui, Ryna
A1  - Dessens, Olivier
A1  - Drouet, Laurent
A1  - Emmerling, Johannes
A1  - Morris, Jennifer Faye
A1  - Fosse, Florian
A1  - Fragkiadakis, Dimitris
A1  - Fragkiadakis, Kostas
A1  - Fragkos, Panagiotis
A1  - Fricko, Oliver
A1  - Fujimori, Shinichiro
A1  - Gernaat, David
A1  - Guivarch, Céline
A1  - Iyer, Gokul
A1  - Karkatsoulis, Panagiotis
A1  - Keppo, Ilkka
A1  - Keramidas, Kimon
A1  - Köberle, Alexandre
A1  - Kolp, Peter
A1  - Krey, Volker
A1  - Krüger, Christoph
A1  - Leblanc, Florian
A1  - Mittal, Shivika
A1  - Paltsev, Sergey
A1  - Rochedo, Pedro
A1  - van Ruijven, Bas J.
A1  - Sands, Ronald D.
A1  - Sano, Fuminori
A1  - Strefler, Jessica
A1  - Arroyo, Eveline Vasquez
A1  - Wada, Kenichi
A1  - Zakeri, Behnam
T1  - Integrated assessment model diagnostics
BT  - key indicators and model evolution
JF  - Environmental research letters
N2  - Integrated assessment models (IAMs) form a prime tool in informing about climate mitigation strategies. Diagnostic indicators that allow comparison across these models can help describe and explain differences in model projections. This increases transparency and comparability. Earlier, the IAM community has developed an approach to diagnose models (Kriegler (2015 Technol. Forecast. Soc. Change 90 45–61)). Here we build on this, by proposing a selected set of well-defined indicators as a community standard, to systematically and routinely assess IAM behaviour, similar to metrics used for other modeling communities such as climate models. These indicators are the relative abatement index, emission reduction type index, inertia timescale, fossil fuel reduction, transformation index and cost per abatement value. We apply the approach to 17 IAMs, assessing both older as well as their latest versions, as applied in the IPCC 6th Assessment Report. The study shows that the approach can be easily applied and used to indentify key differences between models and model versions. Moreover, we demonstrate that this comparison helps to link model behavior to model characteristics and assumptions. We show that together, the set of six indicators can provide useful indication of the main traits of the model and can roughly indicate the general model behavior. The results also show that there is often a considerable spread across the models. Interestingly, the diagnostic values often change for different model versions, but there does not seem to be a distinct trend.
KW  - diagnostics
KW  - integrated assessment models
KW  - climate policy
KW  - Assessment Report IPCC
KW  - renewable energy
KW  - migration
KW  - AR6
Y1  - 2021
U6  - https://doi.org/10.1088/1748-9326/abf964
SN  - 1748-9326
VL  - 16
IS  - 5
PB  - IOP Publishing
CY  - Bristol
ER  - 
TY  - JOUR
A1  - Malik, Aman
A1  - Bertram, Christoph
A1  - Kriegler, Elmar
A1  - Luderer, Gunnar
T1  - Climate policy accelerates structural changes in energy employment
JF  - Energy policy
N2  - The employment implications of decarbonizing the energy sector have received far less attention than the technology dimension of the transition, although being of critical importance to policymakers. In this work, we adapt a methodology based on employment factors to project future changes in quantity and composition of direct energy supply jobs for two scenarios - (1) relatively weak emissions reductions as pledged in the nationally determined contributions (NDC) and (2) stringent reductions compatible with the 1.5 °C target. We find that in the near-term the 1.5°C-compatible scenario results in a net increase in jobs through gains in solar and wind jobs in construction, installation, and manufacturing, despite significant losses in coal fuel supply; eventually leading to a peak in total direct energy jobs in 2025. In the long run, improvements in labour productivity lead to a decrease of total direct energy employment compared to today, however, total jobs are still higher in a 1.5 °C than in an NDC scenario. Operation and maintenance jobs dominate future jobs, replacing fuel supply jobs. The results point to the need for active policies aimed at retraining, both inside and outside the renewable energy sector, to complement climate policies within the concept of a “just transition”.
KW  - energy supply
KW  - employment
KW  - just transition
KW  - political feasibility
KW  - mitigation pathways
KW  - integrated assessment models
Y1  - 2021
U6  - https://doi.org/10.1016/j.enpol.2021.112642
SN  - 0301-4215
VL  - 159
PB  - Elsevier Science
CY  - Amsterdam
ER  -