1. 6 th OSLO Group Meeting Energy Balances Compilation (SA) Robert Kwinda Sub-Dir: Energy Data Quality and Integrity

2. Data Management Data collected. Electricity Data  Local generation (ESKOM owned, IPP’s and Self Generating)  Imports and Exports (SARS)  Electricity used by refineries(Oil Companies) and coal mines(DMR)  Final consumption of Electricity by Sector (NERSA, ESKOM, IPP’s) Crude Oil and Petroleum data  Importation and Exportation of Oil and petroleum products (SARS);  Oil used in refineries and transformation output (SAPIA, Oil Companies)  Final Consumption of Petroleum products by sector (SAPIA, Oil Companies, etc) Coal  Local production (DMR)  Imports and Exports (SARS)  Transformation: Electricity Gen and liquefaction (ESKOM, Oil companies)  Final Consumption of coal by Sector (DMR, StatsSA, Research Studies, etc)

3. Data Management Data collected...............................................................Cont. Gas Data  Local production (SASOL, PetroSA and Others)  Imports and Exports (SARS)  Transformation(Gas works Gas and Liquefaction) (Gas Refining companies)  Final consumption of Gas by Sector (Gas Refining companies, LPG Association and other sector organisation) Nuclear, Hydro, Solar and Renewables Data  Some data extracted from research studies and related papers.  More formal sources being identified.

4. Data Management Data collection methods.  Data provided to the Department via Email and fax and mostly on excel format  Formal agreements with data providers entered into.  Data provided to the Department on pre-defined periodic basis.  Currently, there is scientific/ probability based data collection as all identified data providers are requested to provide data to the Minister.  Regulations on the Provision of Energy Data (Driven from the National Energy Act of 1998)

5. Data Management Data preparation  Data is received and captured in the commodity flow spreadsheet in native units as well as in the Energy database.  The commodity flow spreadsheet is imported into the Energy Database and in the process, the native units are converted into a single unit (TJ). This becomes the Basic file  The aggregated and the disaggregated files are also created during the importation process.

6. Data Management Data Quality Control Computer System based...  Comparisons of current figures with historical data to identify obvious outliers.  Built-in conversion functionality in the database.  Built-in functionality to detect when a wrong is attached to a figure.  Built-in functionality to detect unrealistic statistical difference.  Final consumption of Gas by Sector (Gas Refining companies, LPG Association and other sector organisation) Non Computer based...  Internal Review by relevant sections within the Department.  Review by External stakeholders, including data providers and industry experts.  The Minister to be requested to approve the revision of some of our data by the IEA.  An Energy Statistics Review Team has been established to review the Energy Balances from time tom time.

7. Publication  The Basic, aggregated and disaggregated balances are published in the website after approval by the Director-General  The Digest of South African Energy Statistics is produced out of these file and published on approval by the Minister of Energy.  Local and Global reporting obligations ( UNSD, StatsSA and other organs of state) Data Management

8. THANK YOU Contact details: Department of Energy Building 2A, 4 th floor 012-444-4097 Maluta.Kwinda@energy.gov.za