Survey on household energy consumption. Teja Rutar Department of environment and energy statistics

Transcription

1 Survey on household energy consumption Teja Rutar Department of environment and energy statistics

2 BACKGROUND Energy statistics have traditionally been focused on energy supply and fossil energy. In the future greater focus must be put on better understanding and monitoring of energy enduse, energy efficiency and renewable energy. (Regulation (EC) 1099/2008 on energy statistics; 9 th article!) Directive 2006/32/EC on energy end-use efficiency and energy services. Directive 2009/28/EC on the promotion of the use of energy from renewable energy sources.

3 ESS PLAN Within the ESS the decision was made that the statistical data on final energy consumption in households by end use will be improved first Eurostat grants for implementing surveys on household energy consumption survey. No common methodology different approaches among countries: direct surveys, modelling, combined approach Eurostat: recommended set of variables.

4 SORS previous surveys The Household Energy Consumption Survey APEGG was previously carried out: in 1997 (data for 1996): field survey, around 5000 households and in 2003 (data for 2002): telephone survey, 4812 households. Results were not satisfactory (methodology, sample selection, definitions etc.) we decided to do more focused survey in the future. The present survey is based on changed methodology data is not directly comparable with the previously achieved data.

5 SORS pilot project in 2010/2011 Combined approach: direct survey followed by modelling work on final energy consumption. We were interested in how the energy is used in private dwellings we collected data about: space heating/cooling, water heating, cooking appliances, electrical appliances, lighting, passenger cars. We were particularly interested in the use of renewable energy sources (wood, solar energy etc.) and the prevalence of energy-efficient appliances.

6 METHODOLOGY We were only interested in dwellings where private households live. Collective households (monasteries, old people s homes etc.) and weekend and holiday apartments were not taken into account. Anyone who lived in a chosen dwelling could give answers. Reporting period = last 12 months. If the household lived there for less than 12 months it was inadequate. All responses relate to the dwelling not to the household. More at:

7 IMPLEMENTATION OF THE SURVEY Preliminary pilot survey (testing of questionnaire): 156 units. Main combined (CATI telephone and CAPI field) survey: units. The sample frame: Central Register of the Population with the address of the chosen person we determined the dwelling for which we wanted to collect the data. The sampling plan was stratified by type of the settlement, statistical region, presence of agricultural activity, main heating system in the building, age of the building and the number of dwellings in the building.

8 IMPLEMENTATION OF THE SURVEY Before the interviewing all chosen units received notification letter we informed them about the implementation and purpose of the survey. We asked them to prepare the data on energy consumption (quantities an expenses), electrical appliances (energy classes), light bulbs and cars (fuel consumption, distance travelled). We also sent them examples of bills to help them find the consumed quantities of energy sources. The response rate was 67.8%.

9 DATA PROCESSING Input and data control programme Blaise with many logical controls that prevented many mistakes during the interviewing. Output micro data Oracle database. Later discovered mistakes + editing programme SAS. Imputation & weighting SAS. For imputation we used data from auxiliary questions (easier to respond) or hot-deck method. With weighting we adapted data to statistical regions, settlement types, total number of inhabited dwellings, structure of age & type of buildings and main types of heating in dwellings.

10 MODELLING Modelling work was done by the Jožef Stefan Institute (Energy Efficiency Centre) a model of energy consumption in households that enabled us to divide and specify total final energy consumption in households by end use space heating and cooling, water heating, cooking, electrical appliances, lighting, etc. Input data used: the Household Energy Consumption Survey data, energy supply data from other statistical surveys, Real Estate Register data

11 PREPARATION OF RESULTS 9 tables. Data on energy consumption (by end use and type of energy source) and on types and sources for space heating and water heating were calculated using a model of energy consumption in households (JSI) - data for 2009 and Data on dwelling equipment with household appliances and light bulbs, cars, etc. derived directly from the direct survey - data for 2010.

12 DISSEMINATION OF RESULTS First Release: Energy consumption in households (July 12, 2011): E-release: Energy consumption in households (October 4, 2011): Tables published in SI-STAT Data Portal: 07_18154_housh_consumption/07_18154_housh_consumpti on.asp From now on the data will be published annually together with annual energy statistics.

13 SI-STAT DATA PORTAL

14 RESULTS Final energy consumption in households by energy sources, Slovenia, 2010 district heat 7,9% liquefied petroleum gas 2,8% solar energy geothermal energy 0,4% 0,7% natural gas 9,6% lesna goriva 35,9% TOTAL: TJ extra light fuel oil 21,2% electricity 21,5% SURS

15 Final energy consumption in households by end use, Slovenia, ,4% 13,6% 17,1% 65,8% space heating water heating cooking other SURS

16 RESULTS OF THE PROJECT Development of the methodology and definitions for data collection on household energy consumption. Acquisition of the factor for the total final household energy consumption by end use space heating and cooling, water heating, cooking, lighting, electrical appliances etc. with the help of modelling. Acquisition and dissemination of the data on household energy consumption. Setting the bases and future plans for the integration of the survey into regular work.

17 Thank you for your attention!