IAM_COMPACT_D5.8_Climate_action_in_the_sustainability_spectrum
Creators
- 1. Energy Policy Unit, School of Electrical & Computer Engineering, National Technical University of Athens, Iroon Polytechniou 9, 15780, Zografou, Athens, Greece
- 2. Department of Mechanical Engineering, Aalto University, Espoo, Finland
- 3. CARTIF Foundation, Parque Tecnológico de Boecillo, Boecillo, Valladolid 47151, Spain
- 4. University of Valladolid, School of Industrial Engineering, Valladolid, Spain
- 5. Department of Systems Engineering and Automatic Control, Escuela de Ingenierías Industriales, University of Valladolid, Paseo del Cauce s/n, 47011 Valladolid, Spain
- 6. Energy Policy Unit, School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece
- 7. Basque Center for Climate Change, Sede Building 1, 1st floor, Scientific Campus of the University of the Basque Country, Leioa, 48940, Spain
Description
The task associated with this report aims to provide sustainable decarbonisation pathways, including biodiversity, materials, and biophysical limits, as well as place climate action as a cross-cutting theme across the sustainability spectrum. It aligns climate action and sustainable development by assessing integrated co-benefits of climate-neutral pathways and policies targeting different SDGs. IAM-driven pathways have limited coverage of SDGs and are mostly focused on climate action, energy efficiency, industry, and infrastructure, while other environmental and social dimensions are rarely assessed. Thus, we analyse the capabilities of each IAM COMPACT model to represent SDGs, creating a suitable quantitative framework that facilitates their evaluation. We emphasise synergistic effects among SDGs, by detecting barriers to and co-benefits of specific goals, assessing model weaknesses and potential improvements to fill gaps and reinforce modelling capacity, and providing feedback on measures targeting multiple SDGs.
We then focus on models’ capacity to analyse energy, land, and material resources, biophysical limits, aspects of global biodiversity conservation, and nature restoration. By developing a set of biodiversity indicators, a policy package is created to affect the indicators and produce scenarios that are simulated with the goal of gaining a deeper understanding of biodiversity, material resources, and biophysical limits.
Finally, we synthesise the previous sections and develop a multi-level integration of IAMs and uncertainty analysis with quantified implications for multiple SDGs. We draw from relevant SDG indicators extracted from IAMs, a novel multi-objective optimisation process, and stochastic multicriteria acceptability analysis.
Files
D5.8 - Climate action in the sustainability spectrum_v1.00_SUBMITTED.pdf
Files
(34.9 MB)
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