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D10 Report Template

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This report analyzes energy consumption of household appliances in EU countries and Norway, comparing present and alternative scenarios for potential savings. Includes methodology, results, discussions, and conclusions.

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D10 Report Template

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  1. D10 Report Template Bjørn Grinden 6/3-2008

  2. Template Contents • Standard REMODECE First Page • Table of Contents • Chapter Headers • Empty Tables • One Report per Country • One Summary Report for all Participating Countries

  3. Introduction • Short About the Project/Work Package (WP5) • Short About Input for the Analysis (WP4) • Collected Measurements (time series) • Surveys • Statistics (Population and Appliance Penetration) • Energy Class Standards • Short About Analysis Methods/Scenarios • Short About the Report • Contents in Chapters

  4. Methodology • Main Results from WP4 • Key Numbers from Measurements • Key Numbers from Surveys • Problematic Issues (Influencing the Results) • Problems with Respondents • Problems with Equipments • Analysis and Estimation Methods • Statistical Analysis • Estimation of Savings

  5. Results • Analysis of Measured Values • Statistical Analysis (Mean, Std.dev., Confidence Interval etc.) • One Chapter per Group of Appliances (Here New EU countries and Norway) • All Appliances • Lighting • Cold Appliances • Washing Machines • Dryers • Lighting • New Electronic Loads • Other Standby Power • Other • Results in Tables and Figures • Some Indicators of Quality of Measurements • Results Compared with Other Estimates • Uncertainty: Std.dev., Confidence Interval etc. To be changed

  6. Results • Washing and drying • Observations • These appliances have “same” yearly consumption • Frequency of use • Dryers 2,3 uses/week, Dishwash. 2,2 and Wash.machine 3,8 • Low Standby • Some High Confidence Values (Dryer & Wash.machine) To be changed

  7. Results • Aggregated Values • National and EU Levels • Values [TWh] and Shares [%] • Present State Scenario • (Average energy per single use*Number of uses per year)*Number of equipment per household*Number of households • Alternative State Scenario • (Best available energy per single use*Number of uses per year)*Number of equipment per household*Number of households • Alternatively: (Best practice energy per single use*Number of uses per year)*Number of equipment per household*Number of households • Potential Savings • Difference Between Present and Alternative State Scenario To be changed

  8. Results • Present State To be changed

  9. Discussion & Conclusions • Discussion • Few Measurements • Biased Demographic Samples • Conclusions • Summary of results • Facts for Decision Makers and Policy Makers • Further Work

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