Comparing future patterns of energy system change in 2 °C scenarios to expert projections

van Sluisveld, Mariësse A.E., Harmsen, Mathijs J.H.M., van Vuuren, Detlef P., Bosetti, Valentina, Wilson, Charlie and van der Zwaan, Bob (2018) Comparing future patterns of energy system change in 2 °C scenarios to expert projections. Global Environmental Change, 50. pp. 201-211. ISSN 0959-3780

[img]
Preview
PDF (Accepted manuscript) - Submitted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview

Abstract

Integrated assessment models (IAMs) are computer-based instruments used to assess the implications of human activity on the human and earth system. They are simultaneously also used to explore possible response strategies to climate change. As IAMs operate simplified representations of real-world processes within their model structures, they have been frequently criticised to insufficiently represent the opportunities and challenges in future energy systems over time. To test whether projections by IAMs diverge in systematic ways from projections made by technology experts we elicited expert opinion on prospective change for two indicators and compared these with the outcomes of IAM studies. We specifically focused on five (energy) technology families (solar, wind, biomass, nuclear, and carbon capture and storage or CCS) and compared the considered implications of the presence or absence of climate policy on the growth and diffusion of these technologies over the short (2030) to medium (2050) term. IAMs and experts were found to be in relatively high agreement on system change in a business-as-usual scenario, albeit with significant differences in the estimated magnitude of technology deployment over time. Under stringent climate policy assumptions, such as the internationally agreed upon objective to limit global mean temperature increase to no more than 2 °C, we found that the differences in estimated magnitudes became smaller for some technologies and larger for others. Compared to experts, IAM simulations projected a greater reliance on nuclear power and CCS to meet a 2 °C climate target. In contrast, experts projected a stronger growth in renewable energy technologies, particularly solar power. We close by discussing several factors that are considered influential to the alignment of the IAM and expert perspectives in this study.

Item Type: Article
Uncontrolled Keywords: technology diffusion,integrated assessment,climate change,2 degrees,expert elicitation
Faculty \ School: Faculty of Science > Tyndall Centre for Climatic Change
Related URLs:
Depositing User: Pure Connector
Date Deposited: 14 May 2018 09:31
Last Modified: 22 Apr 2020 06:38
URI: https://ueaeprints.uea.ac.uk/id/eprint/67043
DOI: 10.1016/j.gloenvcha.2018.03.009

Actions (login required)

View Item View Item