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- GC21C-03: Representing Real-World Speed Limits to Low-Carbon Technology Deployment in Macro-Energy System Models
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NOLA CC
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Evan Erickson, Princeton University (First Author, Presenting Author)
Xinyuan Huang, Princeton University
Chris Greig, Princeton University
Eric Larson, Princeton University
Wei Peng, Princeton University
To limit global warming and other negative impacts of climate change, models can help policymakers determine how and where to reduce carbon emissions from our energy generation systems and other global activities. But models are simplifications of the real world, and as a result, they do not always accurately reflect what can be done, and how quickly. We call these real-world limits “speed limits,” and they affect the rate at which we can build new renewable energy and other green technologies that help reduce overall emissions.We explore how these speed limits can be incorporated into a model commonly used to assess future emission pathways. We consider how the importance of these limits can increase or decrease depending on the specific technology. Compared with non-speed-limited models, we find that models with these limits take longer to reduce emissions, or require extra cost to do so. Furthermore, adding these limits changes which energy and low-carbon technologies are selected by the model for deployment, and offers policymakers at many different levels of governance and society guidance on ways to reduce the impacts of these limits.
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