Interpreting
Global Energy and Emission Scenarios:
Methods
for Understanding and Communicating Policy Insights
Holmes Hummel, PhD
Interdisciplinary Program on Environment and Resources
Dissertation completed December 2006
Faculty Committee: John Weyant, Stephen Schneider, Jonathan Koomey, Gil Masters
Abstract of the
research:
Energy
scenarios for the 21st century powerfully inform perceptions and
expectations in the minds of investors, consumers, and policy-makers. Scenarios
that stabilize global warming call for large-scale energy technology
transitions, fueling debates about the relative roles for a range of
technologies including nuclear power, carbon sequestration, biofuels, solar
power, and efficient end-use devices. Though hundreds of these scenarios
have been published in the last decade, a gap in understanding remains between
scenario analysts and the audiences their work is designed to serve.
This
research applies two analytical techniques to investigate the effects of an
imposed climate policy on the underlying energy system. The first disentangles the effect of a policy
intervention on key demographic and technology drivers of fossil fuel use, and
the second decomposes reductions in emissions by specific energy technology
types. Because the techniques may be
applied to any energy scenario with technology detail, this study demonstrates
their application to a dozen sample stabilization scenarios from three leading models. Revealing the importance of data and
assumptions overlooked or not well disclosed in the past, the results highlight
an implausibly high pressure on energy supply innovations while the potential
for energy efficiency improvements is systematically underestimated. The findings are significant to both scenario
analysts and the decision-makers in public policy and private investment who
are influenced by their work.
Summary Presentation:
Plenary Presentation to
the International Energy Workshop 2007
A password is applied to each document
below to limit general circulation prior to the completion of a peer-review
process for publication. The password is
available by request, and feedback is welcome.
Dissertation Contents
Chapter 1 Introduction
Chapter 2 Background: Scenario Analysis & Climate Change
Chapter 3 Stabilization Scenarios
Chapter 4 Decomposing Key Drivers in Emissions Scenarios
Chapter 5 Decomposing Sources of Mitigation
Chapter 6 Conclusions
Appendix I: Data Fields in Analysis
Appendix I Data Fields Requested for Analysis
Appendix II: Notes on Sources of Sample Scenarios:
Appendix II.1 MiniCAM
Appendix II.2 IMAGE 2.2
Appendix II.3 MESSAGE-MACRO
Appendix III : Sample Scenarios:
Appendix III.1 B2 – 550ppmv CO2 MiniCAM
Appendix III.2 B2 – 550ppmv CO2 IMAGE 2.2
Appendix III.3 B2 – 550ppmv CO2 MESSAGE-MACRO
Appendix III.4 A1T – 450ppmv CO2 WBGU MESSAGE-MACRO
Appendix III.5 B1 – 400ppmv CO2 WBGU MESSAGE-MACRO
Appendix III.6 A2 – 550ppmv CO2 MESSAGE-MACRO
Appendix III.7 A2r – 4.5 W/m2 (670ppmv CO2-eq) MESSAGE-MACRO
Appendix III.8 B2 – 3.2 W/m2 (520ppmv CO2-eq) MESSAGE-MACRO
Appendix III.9 B1 – 2.8 W/m2 (480ppmv CO2-eq) MESSAGE-MACRO
Appendix III.10 B1 – 450ppmv CO2 (Early Action) IMAGE 2.2
Appendix III.11 A1B – 550ppmv CO2 IMAGE 2.2
Entire dissertation (482 pages)
Visual Aids from Dissertation Defense on December 1, 2006 – less animation
Visual Aids from Dissertation Defense – more animation
Feedback is appreciated, and data files are available upon request: hummel@stanfordalumni.org