Data Collection Methods for Energy Statistics

1. Chapter 4 Wolfgang Bittermann Directorate R Data Sources and data collection BAKU 24 - 27 September 2013 8thOCG Meeting www.statistik.at We provide information

2. The 3rddraft colours used : • Green – new text • Yellow – input from partners needed • Cyan – country examples (Austria) that should be replaced by examples from other countries This draft doesn’t include contributions from the volunteers, for the time being (because they were not invited to contribute so far). www.statistik.at slide 2 | 3 January 2020

3. Recommendations from OCG 7thmeeting 1 Provided a number of suggestions for the chapter to include: • a reference to the multipurpose approach to data collection and the reuse of data; • a link to the statistical production process that is presented in Chapter 8; • a reference to the use of secondary data sources for validation purposes; • some text on the data disclosure and challenge with confidentiality issues; • some text on the legal obligation which in some cases would decide what kind of data sources/collection methods to use. www.statistik.at slide 3 | 3 January 2020

4. Recommendations from OCG 7thmeeting 2 • Considered important that the chapter keeps the focus on data collection and compilation methods specific to energy statistics. Recommended that attention should be paid not to have overlaps with the information presented in other chapters of the ESCM. In particular, the discussion of quality aspects and metadata should not covered in detail in this chapter, but in Chapter 8. • Discussed if modeling should be included in the chapter and to what extent. Some suggested that it should be mentioned only when it is used for data collection/compilation (e.g. identifying the sample frame). Country practices could be included on this topic. This will be revisited once a revised draft chapter is available. www.statistik.at slide 4 | 3 January 2020

5. Recommendations from OCG 7thmeeting 3 • Agreed also to include some text on how to proceed in situations where data collection by questionnaires or administrative registers does not work (i.e. reference to the presentation from Ghana) • Suggested to include as country practice the use of client information for natural gas in the Netherlands. • Suggested to include also more information on energy prices (i.e. reference to paper prepared for the 4th Oslo group meeting in Ottawa) and how to provide good price information. www.statistik.at slide 5 | 3 January 2020

6. Comments on the 2nddraft • Include data editing, imputation validation • Modeling later in the chapter • Adjustments for energy accounts • Role of legislation • Correction of biases from sample surveys • Include Prices • IRES product classification/SIEC • More specific to energy • Data sources by type of flows • Advantages/disadvantages of methods • Economic performance of energy industries • Data items on reserves/resources www.statistik.at slide 6 | 3 January 2020

7. What is new 1 • 2 additional subchapters  Modeling  Multipurpose approaches – Country practices • Link to chapter 8 • More details on planning a new data collection (multipurpose data use) • Energy accounts • Matrix on suitable instruments • Examples for registers • Country examples www.statistik.at slide 7 | 3 January 2020

8. What is new 2 • Focus on measurement units • International classifications • Comparison between supplier – consumer surveys • Price statistics • Model based data validation • Model based estimation if surveys/registers don‘t work • Country examples www.statistik.at slide 8 | 3 January 2020

9. What is still needed • Additional country examples (highlighted in yellow)  Energy accounts  Supplier surveys  Consumption surveys in industry/services  Household energy consumption in a tropical country • Country cases to replace Austrian examples (highlighted in cyan)  Electricity and gas consumption by purpose  Austrian household energy consumption survey  Model based data validation  Modeling electricity consumption (data matching) • Text modules to complement or replace the existing text www.statistik.at slide 9 | 3 January 2020

10. Matrix on suitable instruments Data Potential items observed Information areas sources/collection techniques Respondents Potential flows observed production /transformation output admin data data owners imports/exports traded energy carriers by type Energy supply energy industries stock changes census/conentrated sample other energy producers deliveries to the market energy industries transformation input/losses fuels used energy carriers by type Energy census/conentrated sample transformation other energy producers transformation output Business registers from Energy industries consumption of Energy industries data owners transformation input Energy consumption energy carriers by type final energy consumption sample surveys consumers non energy consumption census/conentrated sample metering traded energy carriers by type Energy prices suppliers/traders expenditures/costs consumption by purpose (as basis for calculating the indicators needed) energy carriers by type Energy efficiency modelling sample surveys consumers admin. data data owners traded fuels for space expenditures for space heating, cooling and electricity as share of the overall income Energy poverty modelling heating, sample surveys consumers electricity www.statistik.at slide 10 | 3 January 2020

11. Questions to the group • Do you agree with the proposed structure? • Is the matrix complete or are you still missing something? • Who has/knows good examples to be used? I now invite especially the institutions that have offered to contribute to give their input to that parts of the chapter they are not happy with, for the time being, and to assist the coordinator with examples for their countries to fill the country example gaps. www.statistik.at slide 11 | 3 January 2020

12. Volunteers to assist in the drafting of Chapter 4 Country/Organization Representative E-mail Indonesia/BPS Statistics Indonesia Mr. Mudjiandoko mudjiandoko@bps.go.id Canada/Statistics Canada Andy Kohut Andy.Kohut@Statcan.gc.ca Cameroon/Ministère de l'Energie et de l'Eau (MINEE) sylvain.siecam@gmail.com , sylvainwafo@yahoo.fr Defo Wafo Sylvain Congo/Ministère de l'Energie Willy Kipoy S. Musalu kipoymusalu@hotmail.com Ghana/Energy Commission of Ghana Salifu Addo salifuaddo@yahoo.com UK/UK Department of Energy and Climate Change (DECC) Iain MacLeay Iain.macleay@decc.gsi.gov.uk México/Instituto Nacional de Estadística y Geografía Roberto López Pérez roberto.lopez@inegi.org.mx Australian Bureau of Statistics Karen Connaughton karen.connaughton@abs.gov.au UNSD energy_stat@un.org www.statistik.at slide 12 | 3 January 2020

13. Next steps (from the coordinators PoV) • Decision on the structure of the chapter: during this meeting • Decision who will contribute and in which way: during this meeting • Submission of the conrtibutions to the coordinator: November 2014 • Implementation of the contributions: December 2014 • Copy editing of the final draft. www.statistik.at slide 13 | 3 January 2020

14. Please address queries to: Wolfgang Bittermann Thank you for your attention Contact information: Guglgasse 13, 1110 Vienna phone: +43 (1) 71128-7315 fax: +43 (1) 71128-8155 wolfgang.bittermann@statistik. gv.at www.statistik.at slide 14 | 3 January 2020