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Industrial, Construction and Energy Statistics Department

Industrial, Construction and Energy Statistics Department. PRESENTATION OF SAMPLE SURVEY RESULTS. ENERGO 2004. WHAT WERE THE OBJECTIVES OF THE ENERGO 2004 SURVEY?. Select dwellings according to their characteristics & average parameters. Establish appliance availability in dwellings.

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Industrial, Construction and Energy Statistics Department

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  1. Industrial, Construction and Energy Statistics Department PRESENTATION OF SAMPLE SURVEY RESULTS ENERGO 2004

  2. WHAT WERE THE OBJECTIVES OF THE ENERGO 2004 SURVEY? Select dwellings according to their characteristics & average parameters Establish appliance availability in dwellings Establish money expenditures of households on fuels end energy Establish energy consumption in dwellings Establish specific consumption of fuels and energy by purpose of use Establish use of renewable energy resources in households Establish car availability in households Assess validity of data

  3. IMPLEMENTATION OF SURVEY • Application of experience of ENERGO 1997 sample survey • Characteristic and size of sample • Questionnaire A • Questionnaire B • Questionnaire explanatory notes • Course of survey • Organisation of ENERGO 2004 survey • Processing of collected data

  4. ORGANISATION OF ENERGO 2004 SURVEY

  5. PROCESSING OF COLLECTED DATA • Conversion of questionnaire data into electronic form permitting the data to be computer processed (scanning) • Identification and supplying of missing data • Identification of „suspicious“ data and correction thereof • Data processing proper (classification by structure of requested outputs in particular)

  6. PRESENTATION OF ENERGO 2004 RESULTS • Characteristics and average parameters of dwellings • Appliance availability in dwellings • Money expenditures of households on fuels and energy • Energy consumption of dwellings • Specific consumption of fuels and energy by use • Application of renewable energy resources in households • Car availability in households

  7. CHARACTERISTICS AND AVERAGE PARAMETERS OF DWELLINGS The data presented here were processed by type of locality (urban, rural). Part of other data (not given here) were processed by region and for the whole of the CR. These tabled data reveal a significant difference between dwellings in rural and urban localities. For instance, the average habitable and heated areas of rural dwellings are larger than those of urban dwellings while the share of insulation in urban houses exceeds the one of houses in rural localities.

  8. GRAPHICAL REPRESENTATION OF PARAMETERS AND CHARACTERISTICS OF DWELLINGS UNDER SURVEY The figure gives information on the distribution of dwellings under survey acc. to size of heated area. It contains a histogram of absolute and relative frequencies of the number of dwellings in individual heated area size intervals. The sample under survey includes 85.4% of dwellings with heated area between 31 and 110m2 and 58.2% of them with heated area 51 to 90 m2. Heated area larger than 191 m2 is in less than 2% of measured dwellings. The histogram is made for the whole sample of dwellings measured .

  9. AVAILABILITY OF ELECTRICAL APPLIANCES IN DWELLINGS

  10. AVAILABILITY OF NONELECTRICAL APPLIANCES IN DWELLINGS Here is an example of availability of non-electrical appliances in dwellings, burning environmentally-friendly fuels (natural gas) and more frequently used fuels (lignite and fuelwood). Evidently, urban localities (namely Prague) are better equipped with natural gas burningappliances. On the other hand, availability of lignite and fuelwood burning appliances is substantially better on rural localities. Note: “CH“ = central heating, “HW“ = domestic hot water

  11. MONEY EXPENDITURES OF HOUSEHOLDS ON FUELS AND ENERGY Comments

  12. ENERGY CONSUMPTION IN DWELLINGS Comments

  13. CONSUMPTION OF ENERGY IN DWELLINGS - graph Comments

  14. CALCULATION OF SPECIFIC CONSUMPTION OF FUELS AND ENERGY BY USE Comments

  15. USE OF RENEWABLE ENERGY RESOURCES IN HOUSEHOLDS – HEAT PUMPS

  16. USE OF RENEWABLE ENERGY RESOURCES IN HOUSEHOLDS „TUV“ = domestic hot water Comments

  17. CAR AVAILABILITY IN HOUSEHOLDS(households with no business activity)

  18. CAR AVAILABILITY IN HOUSEHOLDS(households with no business activity) Comments

  19. EVALUATION OF DATA VALIDITY When evaluating the validity by comparing the data obtained with data from other information sources, I would like to mention three principal causes for possible numerical differences: • We work with estimates of means of indicators under observation usingthe sample whose size is about 1% of the population. When estimating a parameter measured, we should make allowance for an error of ±20% • Data obtained from another information source need not be comparable in terms of methodology. • Data under comparison do not refer to the same year. The evaluation of the influence of these factors on compared data and the following evaluation of the validity of the data obtained were made from case to case. For instance, the average value of the habitable area obtained from the sample survey is in good agreement with the value obtained from the population and housing census in 2001. Validity of this parameter is sufficiently high and the same applies to the other average values of the parameters presented in all the chapters, except for the overestimated values for the consumption of solid fuels.

  20. Thanks for your attention

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