Climate Always wrong, sometimes useful: 5 Tips for understanding the value and limitations of decarbonization models
Summary
The guide outlines five key tips for understanding decarbonization models, emphasizing that they are often deterministic 'black box' optimizations that may prioritize lowest cost over the best societal outcome, overlook non-electric sectors, undervalue grid reliability, present scenarios as predictions rather than possibilities, and rely on implausible assumptions regarding implementation and infrastructure.
Key insights
- Energy system models often prioritize 'least cost solutions' which may not be the best overall solutions because they exclude indirect, non-monetized factors such as equity implications, environmental impacts, and human health improvements.
- Models focusing solely on the electricity sector are insufficient for meeting climate targets because the electricity sector is projected to represent only about half of energy demand by 2050, leaving 'hard to abate' sectors like agriculture, transportation, commercial, and industrial industries unaccounted for.
- Grid reliability is frequently undervalued in models, which may use a single past weather year for projections or oversimplify load balancing (such as '8760 modeling'), potentially hiding the capacity needed to meet peak daily demand.
- Model scenarios should be viewed as illustrative stories rather than predictions of the future, as they do not provide the likelihood of occurrence or the consequences of being wrong, which prevents risk-informed decision making.
- Some models rely on implausible assumptions, such as the rapid replacement of natural gas with hydrogen without logistical planning, the assumption that the developing world will maintain low energy consumption, or the existence of transmission networks without accounting for siting and funding challenges.
Cite the original document
- APA
- Abrahams, L., & Montgomery, M. (2022). Climate Always wrong, sometimes useful: 5 Tips for understanding the value and limitations of decarbonization models. Clean Air Task Force. https://www.catf.us/2022/11/limitations-of-decarbonization-models/
- Chicago
- Abrahams, Leslie, and Mikenna Montgomery. Climate Always wrong, sometimes useful: 5 Tips for understanding the value and limitations of decarbonization models. Clean Air Task Force, 2022. https://www.catf.us/2022/11/limitations-of-decarbonization-models/.
- Wikipedia
- {{cite report |last1=Abrahams |first1=Leslie |last2=Montgomery |first2=Mikenna |title=Climate Always wrong, sometimes useful: 5 Tips for understanding the value and limitations of decarbonization models |publisher=Clean Air Task Force |date=2 November 2022 |url=https://www.catf.us/2022/11/limitations-of-decarbonization-models/ |access-date=23 October 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{abrahams2022climate, author = {Abrahams, Leslie and Montgomery, Mikenna}, title = {{Climate Always wrong, sometimes useful: 5 Tips for understanding the value and limitations of decarbonization models}}, institution = {Clean Air Task Force}, year = {2022}, month = nov, url = {https://www.catf.us/2022/11/limitations-of-decarbonization-models/}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }
Full text
Collected · Record updated