SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings

SINTEF Energy Research 2 WP5 Analysis Metering campaign Calculation of Present state Norway

SINTEF Energy Research 3 Status metering campaigns Data received from Bulgaria 100 households Romania 8 households France 103 households Italy 1 households Denmark 1 households Portugal 92? households Czech households Germany 100 households (file structure problem) Norway 100 households, 90 finished analysed, 10 still registering

SINTEF Energy Research 4 Metering campaign in Norway Equipment used 125 standard Power detectives 5 electric cooker meters 16 house centrals Also to be used is 30 accumulating energy meters Problems: Late arrival of equipment Radio transmission problems Exterior antenna might solve problems Reset after power shortage

SINTEF Energy Research 5 Launcher Power Detective launcher Programming PowerDetectives to be placed in a house Use of codes to uniquely indentifying kind of appliance, enables cross country comparisons Storing of personal data file along with the Power detective files so that all information is available for analysis: Age of persons Number of persons in age groups Climate House types Data are stored on SD card, used in the metering central

SINTEF Energy Research 6 Report given to household Resultat av målinger med Power Detective BetegnelseStartdatoSluttdato Forbruk i periode n Wh Maks forbruk i periode n Watt Standby effekt Watt Estimert årsforbru k kWh Estimert årlig standby forbruk kWh Laptop CFL in living room LCD TV <=52cm DVD player Decoder Hi-Fi Mobile phone charger Clothes dryer (with condenser) Washing machine Dish washer Microwave oven Refridgerator Kettle Chest freezer

SINTEF Energy Research 7

8 Result Norway case 2001 B ased on metered data from 2007 and 2008.

SINTEF Energy Research 9 Comparison Remodece and other results Sintef Norway weighted meanEnergy boxStatistics Norway Washing machines Driers and Dishwashers Water heater Refridgerator Freezer Fridge-freezer Cooker Dishwasher Washing machine Clothes dryer Lighting PC with accessories Electronics For households that owns an appliance type, KWh/year

SINTEF Energy Research 10 Data and calculated values for each appliance Customer Start date End date Stratum Registered consumption WH Max Power registered Watt Standby power Watt Estimated annual consumption kWh Estimated annual standby consumption kWh Energy per single use kWh Load factor % Weight Estimated annual consumption kWh Estimated annual standby consumption kWh Energy per single use kWh Load Factor %

SINTEF Energy Research 11 Adjusting to total population Single and pairs without children 60 % in Norway – 41% for Washing machines Norway Two parents with one or more children 28% in Norway – 49% for Washing machines Norway Retired and other households 12 % in Norway – 9% for Washing machines Norway In Remodece, the values are adjusted to the total population demographics

SINTEF Energy Research 12 Excel estimations for each appliance-type Excel sheet made by use of our tool “Useload”

SINTEF Energy Research 13 Washing, drying, dishes ENDUSEID Annual Sum kWh/Year Standby Energy kWh/year Cycle Energy kWh Load Factor Annual Sum Conf kWh/Year Standby Energy Conf kWh/Year Cycle Energy Conf kWh Load Factor Conf DRYER % % DISHW % % WASHINGM % A two year old Miele “A” washing machine, uses 1 kWh on a 60 degrees wash under standardized test program “EN 60456”

SINTEF Energy Research 14 Water heating ENDUSEID Annual Sum kWh/year Standby Energy kWh/year Cycle Energy kWh Load Factor Annual Sum Conf Standby Energy Conf Cycle Energy Conf Load Factor Conf WHEATER % %

SINTEF Energy Research 15 PC ENDUSEID Annual Sum kWh/year Standby Energy kWh/year Cycle Energy kWh Load Factor Annual Sum Conf Standby Energy Conf Cycle Energy Conf Load Factor Conf Router % WLAN %0.0 Desktop Including Monitor %0.0 Desktop % Laptop % Printer

SINTEF Energy Research 16 Kitchen ENDUSEID Annual Sum kWh/Year Standby Energy kWh/Year Cycle Energy kWh/YearLoad FactorAnnual Sum Conf Standby Energy Conf Cycle Energy Conf Load Factor Conf COOKER % MICROWAVE %0.0 Kettle %

SINTEF Energy Research 17 Electronics ENDUSEID Annual Sum kWh/year Standby Energy kWh/year Cycle Energy kWhLoad Factor Annual Sum Conf Standby Energy Conf Cycle Energy Conf Load Factor Conf TV-Settop %1.1 HIFIRadio % DVD % TV % TV-LCD % TVPlasma % Charger %

SINTEF Energy Research 18 Refrigerator, freezers etc ENDUSEID Annual Sum kWh/Year Standby Energy kWh/Year Cycle Energy kWh Load Factor Annual Sum Conf Standby Energy Conf Cycle Energy Conf Load Factor Conf FREEZER % FRIDGE % Fridge Freezer %

SINTEF Energy Research 19 Lighting ENDUSEID Annual Sum kWh/year Standby Energy kWh/year Cycle Energy kWh Load Factor Annual Sum Conf Standby Energy Conf Cycle Energy Conf Load Factor Conf Light/kitchen % % Light/livingro om % % Based on load factor ca 1900 kWh/year More data is needed!

SINTEF Energy Research 20 Ownership of each appliance type Data from SSB “Formålsfordeling av husholdningenes elektrisitetsforbruk i 2001 Are used for white goods, refrigerators, freezers, water heaters etc. Medienorge SSB Facts of Norwegian mass medias Are used for TVs, Mobil telephone chargers, PC, Laptop, Internet, DVD players, cable TV etc. Estimates showing annual energy consumption based on data from metering campaign, are multiplied with the typical number of appliances per household.

SINTEF Energy Research 21 Statistics for each appliance type Estimate of expected value kWh/year Max value (max consumption kWh/year) Min value Standard deviation kWh/år Confidence interval Shows +/- interval for 95% probability of expected value Similar values are estimated adjusted for total demographic data 1-2 person in household (60%) 2 or more persons (28%) Retired people and others (12%)

SINTEF Energy Research 22 Estimation of expected value N =Total number of observations n i =Number of observations of the strata that observation i belongs to p i =Proportion in total parent group of the strata that observation i belongs to d i =Data for observation i

SINTEF Energy Research 23 Estimation of standard deviation Where M =Total number of different strata n i =Number of observations of the strata that observation i belongs to p i =Proportion in total parent group of the strata that observation i belongs to