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African Regional Workshop on NAMAs
Domestic Measuring Reporting and Verification
Allison Towle & Alexandra Soezer
18 August 2015 Kigali, Rwanda
Presentation Outline
Why us? Why are we in a position to speak about domestic MRV?
What does the data say?
What are countries doing and how can we learn from them?
Lessons learned
Low Emission Capacity Building (LECB) Programme (2011-16)
Objective: Build capacities to design and implement low emission development through national mitigation actions in the public and/or private sectors in 25 countries
Five main work areas: GHG inventory management systems Nationally Appropriate Mitigation Actions (NAMAs) Low-Emission Development Strategies (LEDS) Measurement, Reporting and Verification (MRV) Participation of selected industries in mitigation actions
Donors: European Commission, Germany & Australia
In 2014 a study was commissioned
This paper is a result from: a questionnaire sent to all LECB countries, follow-up discussions, and in-person country visits
17 of 25 countries responded, covering all geographic regions
Based on the results of these processes, four countries were selected for detailed case studies
Measurement, Reporting, and Verification (MRV) -Technical paper
OVERALL SYSTEMS DESIGN
Domestic Measuring Reporting and Verification
Countries are often developing more than one level of MRV
Project / Firm Level
Sectoral
National
10
12
11
59%
71%
65%
Of the countries who responded almost all were using at least one level of MRV
A large proportion of MRV systems will not just be measuring GHG emissions
59%
41%
GHG emissions Other
Other factors being mea-sured:General co-benefitsEnergy consumptionEconomic indicatorsSocio-economic indica-torsFinance/Support
MRV systems are often being designed to inform multiple international mechanisms
NAMAs
National Communication
National GHG Inventory
Biennial Update Report
Low Emission Development Strategy
Mitigation Action Plan
Nationally Determined Contributions
Other
16
12
10
10
9
7
5
5
94%
71%
59%
59%
53%
41%
29%
29%
GOVERNANCE
Most systems require input from multiple sources –inter-agency coordination is vital
18%
82%
Managed internallyOther
Capacity building and gaining buy-in from external agencies is critical.
External agency offer impor-tant technical expertise
Formalizing terms of relation-ship is important
Very few systems are supported by national legislation/regulation
24%
76%
External legislation/regula-tionNo external framework
DATA COLLECTION &
FUNDAMENTAL DESIGN ELEMENTS
Most countries are using new and existing data
6%
12%
82%
NewExistingNew and existing
GHG inventory – think laterally about what data you can use
NAMAs - existing data is an ex-cellent resource for QA/QC & ver-ification
New data – leverage off existing data collection processes
A range of existing data sources are being deployed – but there are more opportunities
Other agencies
Sectoral experts
National statistics bureau
Industry groups
Other
Direct measurement
12
11
10
7
5
1
71%
65%
59%
41%
29%
6%
Few countries have included QA/QC processes in their systems design
76%
6%
6%
12% Not yet determined
IPCC
ISO
Basic checks
IPCC 2006 Guidelines pro-vide great resource for QA/QC techniques!
A concrete example: Ghana’s Integrated Climate Data
Management System
Ghana’s Integrated Climate Data Management System
Objectives: • Provide reliable basis for climate change planning• Serve as a framework for M&E and MRV• Integrate with the national statistics platform
Key elements:
Climate data managemen
t
Continuous data
generation
Network for sharing & clearing house
Documentation & archiving
IT infrastructur
e and applications
They keep it simple but aim at consistent improvement towards “dynamic climate data management system” in the future.
Before they start they clearly define:(a) why we need documentation, (b) what to document,(c) how to document, (d) who documents,(e) where/how to store and retrieve
On-line Climate Date – Three Interfaces
Lessons Learned Challenges
• Executive level governance frameworks are a valuable alternative to legislation/regulation
• No need to reinvent the wheel.:
• Existing data sources are a valuable resource for both national and NAMA level MRV systems
• Augmenting existing data collection process can provide a valuable means to collect new activity data
• Find a way to engage others
• Adopting a systems-based approach is important for effective MRV
• Slow pace in establishing “data sharing network”. Difficulty in data sharing
• Data generation can be expensive. Funding is a problem.
• Involvement from the private sector. Data confidentiality can be an issue for Industry and private held companies
• Setting up stand-alone IT infrastructure and maintenance can be expensive.
Thank you
Form more information visit:
www.lowemissiondevelopment.org
Or write to: [email protected]
