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Large scale CDM methodologies for mass rapid transport systems. Practitioner Workshop Improvement of CDM methodologies for transportation Bonn, Germany, March 2011. Outline. Overview of large scale methodologies for transportation under CDM
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Large scale CDM methodologies for mass rapid transport systems Practitioner Workshop Improvement of CDM methodologies for transportation Bonn, Germany, March 2011 Victoria Novikova Associate Programme Officer-Methodology Development and Improvement
Outline • Overview of large scale methodologies for transportation under CDM • AM0031: determination of baseline, project & leakage emissions • ACM0016: determination of baseline, project & leakage emissions • Applicability of AM0031 & ACM0016 • Methodology application • Key challenges of CDM transport projects
AM0031 Baseline methodology for bus rapid transit projects
AM0031: project emissions Only from the new transport system: • Option 1. fuel consumption data • Option 2. specific fuel consumption & distance data
AM0031: leakage emissions Emissions included as leakage Congestion change provoked by project resulting in (inter alia): • Increased vehicle speed • Rebound effect • Upstream emissions of gaseous fuels in case more gaseous fuels are used by the project case compared to the baseline case Change of baseline factors monitored during project and included as leakage: • Change of load factors of taxis provoked indirectly by project • Change of load factor of remaining conventional buses provoked indirectly by project
ACM0016 Baseline methodology for mass rapid transit projects
ACM0016 Baseline methodology for mass rapid transit projects
ACM0016: leakage emissions • Changes in the load factor of taxes & busses ; • Reduced congestion on affected roads (provoking higher average speeds, determined for passenger cars & taxis) • Induced traffic (for passenger cars & taxis) and rebound effect
Applicability AM0031 ACM0016 Construction & operation of BRTS (feeder + trunk routes) Construction & operation of MRTS or BRTS (trunk routes)
Key challenges of CDM transport projects • Baseline emissions determination • many dispersed emission sources • methodologies require surveys • indirect effects can be significant (e.g. positive and negative rebound effects) • Additionality demonstration • Investment analysis is more difficult in case of public investors (e.g. consideration of subsidies)
Methodology improvement: objectivity, applicability, and usability of methodologies • Readability and language • Internal consistency and consistency with other methodologies • Referencing tools • Use of conservative default values or discount factors to calculate emissions • Omitting insignificant emission sources • Relaxing applicability conditions (e.g. by making conservative assumptions for the calculation of emission reductions for the relevant project types) • Simplifying or replacing with conservative default values certain monitoring requirements