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Characterizing technology opportunities for energy system in transition through rank trajectories
1.
2. Environmental Research Institute
University College Cork
Characterizing technology opportunities
through rank trajectories
Tarun Sharma, Fionn Rogan, Brian Ó Gallachóir
Joint Global Change Research Institute of Pacific Northwest Laboratory (PNNL) &
University of Maryland (UMD), USA
71th ETSAP-MEETING | 10th July 2017
3. • Technology criteria for ranking:
• Cost (capital, O&M)
• Emissions
• Resource availability
• Return horizon
• Complementarity (system’s perspective)
• Technology readiness level
• Market pull and technology push factors
• Jobs
• Risk
• Carbon mitigation policy
• Pollutant emissions
• Starting point:
Endogenize cost, resource availability, emissions, return horizon and system’s perspective in energy
model (TIMES): Obtain Rank Trajectories (RT) based on energy shares.
Why rank?
Approach
• Prioritization for timely allocation of limited resources.
How to obtain technology
specific information on all
these criteria?
5. Impact
• Scanning technology landscape across timeline and scenarios
• Functionality for generating rank trajectories is scalable both in
size of technology set and number of scenarios
• Ongoing analysis with handles on more than 400 technologies
across 16 scenarios
• Specificity of technological opportunity:
• Onset time: Early movers (Plug-in EV) vs late movers (CCS Gas)
• Diffusion rate: Gradual (PV) vs abrupt (Biomass ELC)
6. Next steps : Quantitative basis for resilience
• How will technology ranks change when
considering contributions to:
• Pollutant emissions
• Energy security
• Job creation
• Value added
• Carbon emission mitigation targets in the range
of 65% to 95%
• Availability of biomass imports
• Use rank variations across scenarios to
characterize technology risks and
resilience which then feeds into multi
criteria assessment of technology
opportunities Electric radiators for commercial heating
7. •Technology criteria:
• Cost
• Emissions
• Resource availability
• Return horizon
• System’s perspective
Next Steps: MCA of technologies
Zeroth
order
criteria
First order criteria:
Derived by quantification of
Rank Trajectory sensitivity
under different scenarios
• Systemic policy risks:
• Carbon mitigation
• Pollutant mitigation
• Incentives for EV
• Preference for energy
security
• Preference for
indigenization