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 and
Jaysson Guerrero
Additional contact information
Sven Teske: Institute for Sustainable Futures, University of Technology Sydney (UTS), 235 Jones Street, Sydney, NSW 2007, Australia
Jaysson Guerrero: Institute for Sustainable Futures, University of Technology Sydney (UTS), 235 Jones Street, Sydney, NSW 2007, Australia
Energies, 2022, vol. 15, issue 9, 1-32
Abstract:
According to the IPCC, a global carbon budget of 400 GtCO 2 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: integrated energy assessment model; industry specific 1.5 °C pathways; transport decarbonization; MATLAB; one earth climate model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/15/9/3289/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/9/3289/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:9:p:3289-:d:806461
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().