LAPSE:2023.14484
Published Article
LAPSE:2023.14484
One Earth Climate Model—Integrated Energy Assessment Model to Develop Industry-Specific 1.5 °C Pathways with High Technical Resolution for the Finance Sector
Sven Teske, Jaysson Guerrero
March 1, 2023
Abstract
According to the IPCC, a global carbon budget of 400 GtCO2 is required to limit the temperature rise to 1.5 °C with a 67% likelihood by 2050. The finance industry is increasingly committed to ambitious climate targets. In this article, we describe the detailed methodology and energy model architecture of a MATLAB-based integrated energy assessment model for industry-specific 1.5 °C pathways, with a high technical resolution of target parameters as key performance indicators (KPIs). The additionality of OECM 2.0 is the high technical resolution in terms of the level of detail of industry-specific energy demand and supply parameters that can be modeled—a prerequisite to define industry-specific KPIs. We found that a database of industry-sector-specific energy demands and energy intensities, with a consistent methodology, is required to improve the accuracy of calculations in future research. We supplement the technical documentation with the results for a transport scenario.
Keywords
industry specific 1.5 °C pathways, integrated energy assessment model, Matlab, one earth climate model, transport decarbonization
Suggested Citation
Teske S, Guerrero J. One Earth Climate Model—Integrated Energy Assessment Model to Develop Industry-Specific 1.5 °C Pathways with High Technical Resolution for the Finance Sector. (2023). LAPSE:2023.14484
Author Affiliations
Teske S: Institute for Sustainable Futures, University of Technology Sydney (UTS), 235 Jones Street, Sydney, NSW 2007, Australia
Guerrero J: Institute for Sustainable Futures, University of Technology Sydney (UTS), 235 Jones Street, Sydney, NSW 2007, Australia
Journal Name
Energies
Volume
15
Issue
9
First Page
3289
Year
2022
Publication Date
2022-04-30
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15093289, Publication Type: Review
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LAPSE:2023.14484
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https://doi.org/10.3390/en15093289
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