The Energy Data Centre of the IEA: its role and interactions with national institutions

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1 The Energy Data Centre of the IEA: its role and interactions with national institutions INOGATE Meeting, Copenhagen, April 23-24, 2013 Pierre Boileau, Section Head, Non-OECD Country Energy Statistics

2 Overview Centre s mission and role Focus on Non-OECD countries section Mechanisms to achieve goals How we compile energy statistics Training and capacity building Interaction with country contacts Progress made Raising the profile of energy statistics Harmonisation

3 Centre s Mission and Role Improving global energy data transparency for better energy markets and security Facilitating energy analysis (World Energy Outlook, Oil Market Report, Energy Technology Perspectives, etc.) Feeding the international energy debate

4 Focus on Non-OECD countries section 1. Collect and process energy statistics and balances for non-oecd countries to complement the statistics collected for OECD countries and, through this, compile a reliable and authoritative global energy balance. 2. Assist non-oecd countries in improving their national energy statistics and balances for the purposes of supporting energy policy development in their countries.

5 Mechanisms to achieve goals Questionnaires Definitions/Standards Country data Databases

6 How we process countries 2+2=4 Consistency checks Arithmetic checks Comparative checks Efficiency checks

7 Status of INOGATE countries Country Questionnaires Timeliness Responsiveness Completeness Armenia Missing oil Azerbaijan Belarus Georgia Missing autonomous regions Moldova Missing Transnystria Kazakhstan Kyrgyz Rep. Tajikistan Turkmenistan Ukraine For 2011 Some confidentiality Uzbekistan

8 Training and capacity building Training Manuals

9 Interaction with contacts Questions of clarification Explanation of issue Proposed revision Submission of new data (questionnaire or balance) Documentation of how issue was resolved Draft balances Conference/video calls Larger systemic issues (e.g. refineries, efficiencies) Understanding of national data collection system Identification of possible solution (together) Testing/sharing solutions Implementation (revised data/balances)

10 Example: refinery balance Working on the principle of mass balance Supply of crude, NGL & Others Supply of finished products Deliveries by sector Data collected on a mass basis = kilotonnes

11 Other issues we ve noted Large statistical differences 246/678=36% Physical specifications of Jet Kerosene more stringent than Other Kerosene Unexpected transfers 509/2201=23% 166/823=20% Amount of storage needed for this size of stock build is very large. Finding export markets might be a priority. Large stock changes Stock builds or stock draws for many years in a row are unlikely. Refinery theft or illegal trade may be hidden in stock changes.

12 Progress made: new assessment tools Assessment of losses and own use trends Visual trend assessment tools

13 Raising the profile of energy statistics

14 Raising the profile Decision makers Need the right data immediately Allocation of resources The ones who do the work should be fully involved in the whole process Statisticians need to understand why they collect the data Policy makers need to understand the problems faced by statisticians Prime users of the data Advisors to policy makers Interface between policy makers and statisticians Lobby Comments on data

15 Raising the profile On 19 November 2005, an example of how the profile of statistics can be raised is the launch of the JODI Database by King Abdullah

16 Harmonisation: JODI Russia PR of China Egypt Gabon India UN South Africa APEC Indonesia Philippines UK Netherlands 3 rd JODI Conference Mexico, May 2002 EUROSTAT Germany Belgium US France IEA/ OECD Denmark Canada Japan Norway Saudi Arabia OPEC Libya Brazil OLADE Mexico Australia Kuwait Iran Nigeria Venezuela Colombia Argentina PetroVietnam Kuwait Petroleum Co. Petrobras Statoil Saudi Aramco Petronas Shell Ecopetrol TotalFinaElf

17 Harmonisation: InterEnerStat 21 international/regional organisations Both data providers and users Harmonisation of definitions Common training sessions A joint website

18 Harmonisation can lead to Reduced reporting burden for countries and companies; Improving overall data quality; Join forces among organisations (e.g. IEA, Eurostat, INOGATE) Lead to more comparable energy data

19 Conclusion Data quality assessment is a priority High quality energy data is a necessary tool for sound energy policy development IEA is working to assist countries to improve their energy balances through manuals, training and interaction with country contacts The questions we ask are meant to help improve things, not add criticism. We are also working to raise the profile of energy statistics and harmonise methods Together we can make things better over time.

20 Thank you