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
Measurement, Reporting, and Verification (MRV) Technical paper
 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
Domestic Measuring Reporting and Verification
OVERALL SYSTEMS DESIGN
Countries are often developing more
than one level of MRV
Of the countries who responded almost all were using at least one level of MRV
National
11
Sectoral
Project / Firm Level
65%
71%
12
10
59%
A large proportion of MRV systems will
not just be measuring GHG emissions
GHG emissions
Other
41%
59%
Other factors being
measured:
• General co-benefits
• Energy consumption
• Economic indicators
• Socio-economic
indicators
• Finance/Support
MRV systems are often being designed to
inform multiple international mechanisms
NAMAs
16
National Communication
94%
12
71%
National GHG Inventory
10
59%
Biennial Update Report
10
59%
Low Emission Development Strategy
53%
9
Mitigation Action Plan
7
41%
Nationally Determined Contributions
5
29%
Other
5
29%
GOVERNANCE
Most systems require input from multiple
sources –inter-agency coordination is vital
Managed internally
18%
Other
Capacity building and gaining
buy-in from external agencies is
critical.
82%
External agency offer important
technical expertise
Formalizing terms of
relationship is important
Very few systems are supported by
national legislation/regulation
External
legislation/regulation
24%
76%
No external
framework
DATA COLLECTION
&
FUNDAMENTAL DESIGN ELEMENTS
Most countries are using new and
existing data
New
6%
12%
Existing
New and existing
GHG inventory – think laterally
about what data you can use
82%
NAMAs - existing data is an
excellent resource for QA/QC &
verification
New data – leverage off existing
A range of existing data sources are being
deployed – but there are more opportunities
Other agencies
12
Sectoral experts
11
National statistics bureau
65%
10
Industry groups
59%
7
Other
Direct measurement
71%
5
1 6%
41%
29%
Few countries have included QA/QC
processes in their systems design
12%
Not yet determined
IPCC
6%
ISO
6%
Basic checks
76%
IPCC 2006 Guidelines provide
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:
IT
infrastructur
e and
applications
They keep it simple but aim at
consistent improvement towards
“dynamic climate data management
system” in the future.
Continuous
data
generation
Climate data
managemen
t
Documentatio
n & archiving
Network for
sharing &
clearing
house
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
• Slow pace in establishing “data sharing
network”. Difficulty in data sharing
• No need to reinvent the wheel.:
• Data generation can be expensive. Funding
is a problem.
• 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
• 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: allison.towle@undp.org