SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for...

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

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

1SINTEF Energy Research

Remodece meeting March 2008

Nicolai Feilberg

WP5: Methodology for Calculation of potential savings

Page 2: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

2SINTEF Energy Research

WP5 Analysis

Metering campaign Calculation of Present state Norway

Page 3: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

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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 100 + households Germany 100 households (file structure problem) Norway 100 households, 90 finished analysed, 10 still registering

Page 4: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

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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

Page 5: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

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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

Page 6: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

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Report given to householdResultat av målinger med Power Detective

Betegnelse Startdato Sluttdato

Forbruk i

perioden Wh

Maks forbruk i perioden Watt

Standby effekt Watt

Estimert årsforbru

k kWh

Estimert årlig standby forbruk kWh

Laptop 01 12.09.2007 03.10.2007 2085 85 0.8 41 6

CFL in living room 01 11.09.2007 07.10.2007 790 8 0 11 0

LCD TV <=52cm 01 11.09.2007 07.10.2007 10013 109 0.5 141 4

DVD player 01 11.09.2007 07.10.2007 3815 33 4.9 49 38

Decoder 01 11.09.2007 07.10.2007 5059 12 0 77 0

Hi-Fi 01 11.09.2007 16.09.2007 2419 34 0 136 0

Mobile phone charger 01 11.09.2007 07.10.2007 179 4 0 2 0

Clothes dryer (with condenser) 01 11.09.2007 07.10.2007 13640 2311 0.2 177 1

Washing machine 01 11.09.2007 07.10.2007 14439 2087 0.6 180 5

Dish washer 01 11.09.2007 07.10.2007 11074 2054 0.2 138 1

Microwave oven 01 11.09.2007 07.10.2007 18140 2608 0 226 0

Refridgerator 01 12.09.2007 07.10.2007 2080 1259 2.5 29 20

Kettle 01 13.09.2007 07.10.2007 1972 1812 0 29 0

Chest freezer 01 13.09.2007 07.10.2007 35934 224 1.5 484 6

Page 7: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

7SINTEF Energy Research

Page 8: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

8SINTEF Energy Research

Result Norway case 2001 Based on metered data from 2007 and 2008.

Norway share of end-uses 2001

Water heater14 %

Lighting11 %

Cooling5 %

Cooking2 %

Washing2 %

PC with accessories2 %

Electronics3 %

Space heating61 %

Water heater Lighting Cooling Cooking Washing PC with accessories Electronics Space heating

Page 9: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

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Comparison Remodece and other results

Sintef Norway weighted mean Energy box Statistics Norway

Washing machines Driers and

Dishwashers

Water heater 3014 2033

Refridgerator 301 433 1259

Freezer 658 268 869

Fridge-freezer 242 1539

Cooker 307 316 600

Dishwasher 207 190 751 341

Washing machine 217 527 2026 198

Clothes dryer 226 662 792 296

Lighting 1900 848 2046

PC with accessories 570 140 742

Electronics 970 355 6787

For households that owns an appliance type, KWh/year

Page 10: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

10SINTEF Energy Research

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 %

Page 11: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

11SINTEF Energy Research

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

Page 12: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

12SINTEF Energy Research

Excel estimations for each appliance-type

Excel sheet made by use of our tool “Useload”

Page 13: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

13SINTEF Energy Research

Washing, drying, dishes

ENDUSEID

AnnualSum

kWh/Year

StandbyEnergy

kWh/year

CycleEnergy

kWhLoad

Factor

Annual Sum Conf

kWh/Year

Standby Energy Conf

kWh/Year

Cycle Energy Conf

kWhLoad Factor

Conf

DRYER 226.1 3.5 1.9 1 % 85.7 17.0 2.3 10%

DISHW 207.4 0.9 1.8 1 % 49.2 8.7 1.7 10%

WASHINGM 217.1 3.2 1.1 1 % 83.9 1.6 0.1 0.0

A two year old Miele “A” washing machine, uses 1 kWh on a 60 degrees wash under standardized test program “EN 60456”

Page 14: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

14SINTEF Energy Research

Water heating

ENDUSEID

AnnualSum

kWh/year

StandbyEnergy

kWh/year

CycleEnergy

kWhLoad

Factor

AnnualSumConf

StandbyEnergy Conf

CycleEnergy Conf

LoadFactorConf

WHEATER 3014 0.0 1.8 17 % 1627 0.0 1.6 8 %

Page 15: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

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PC

ENDUSEID

AnnualSum

kWh/year

StandbyEnergy

kWh/year

CycleEnergy

kWhLoad

FactorAnnual

Sum ConfStandby

Energy ConfCycle

Energy ConfLoad

Factor Conf

Router 51 0.0 2.4 94 % 4.3 0.0 2.2 0.0

WLAN 74 16.9 4.8 58 % 0.0 0.0 0.0 0.0

DesktopIncludingMonitor 365 23.5 1.1 22 % 0.0 0.0 0.0 0.0

Desktop 239 18.1 0.9 20 % 149.5 31.0 0.8 0.1

Laptop 54 4.9 0.2 5 % 50.1 4.2 0.1 0.1

Printer 26 0 2 0.01 0 0 0 0

Page 16: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

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Kitchen

ENDUSEID

Annual Sum

kWh/Year

StandbyEnergy

kWh/YearCycle Energy

kWh/Year Load Factor Annual Sum Conf

StandbyEnergyConf

CycleEnergyConf

LoadFactorConf

COOKER 307 9.1 0.6 2 % 56.7 10.4 0.1 0.0

MICROWAVE 127 7.0 0.4 1 % 0.0 0.0 0.0 0.0

Kettle 53 0.0 0.1 0 % 44.6 44.6 0.1 0.1

Page 17: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

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Electronics

ENDUSEIDAnnual Sum

kWh/yearStandby Energy

kWh/yearCycle Energy

kWh Load FactorAnnual

Sum Conf

StandbyEnergyConf

CycleEnergyConf

LoadFactorConf

TV-Settop 92 0 2.6 77 % 1.1 1.1 1.1 1.1

HIFIRadio 75 10 0.8 33 % 45.5 20.8 9.2 3.5

DVD 20 5 0.7 21 % 22.5 22.8 9.1 0.2

TV 208 2 0.4 21 % 91.9 19.5 3.1 0.4

TV-LCD 214 15 0.4 17 % 146.8 100.0 16.4 0.2

TVPlasma 375 20 0.9 15 % 236.1 30.0 0.2 0.1

Charger 3.2 0 0.2 9 % 3.8 0.0 0.3 0.1

Page 18: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

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Refrigerator, freezers etc

ENDUSEID

AnnualSum

kWh/Year

StandbyEnergy

kWh/Year

CycleEnergy

kWhLoad

Factor

AnnualSumConf

StandbyEnergyConf

CycleEnergyConf

LoadFactorConf

FREEZER 658 1.5 13.6 44 % 116.5 17.6 3.2 0.3

FRIDGE 301 2.4 2.6 20 % 78.4 2.1 2.5 0.1

Fridge Freezer 241 3.9 4.8 22 % 127.1 7.6 9.0 0.2

Page 19: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

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Lighting

ENDUSEID

AnnualSum

kWh/year

StandbyEnergy

kWh/year

CycleEnergy

kWhLoad

Factor

AnnualSumConf

StandbyEnergyConf

CycleEnergyConf

LoadFactorConf

Light/kitchen 76.8 0.0 0.2 41 % 77.0 0.0 0.2 53 %

Light/livingroom 136.1 0.8 0.4 20 % 68.9 1.6 0.2 5 %

Based on load factor ca 1900 kWh/year More data is needed!

Page 20: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

20SINTEF Energy Research

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.

Page 21: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

21SINTEF Energy Research

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%)

Page 22: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

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Estimation of expected value

N =Total number of observations ni =Number of observations of the strata that

observation i belongs to pi =Proportion in total parent group of the strata that

observation i belongs to di =Data for observation i

)/

(1

ii

i dNn

p

NM

Page 23: SINTEF Energy Research 1 Remodece meeting March 2008 Nicolai Feilberg WP5: Methodology for Calculation of potential savings.

23SINTEF Energy Research

Estimation of standard deviation

Where M =Total number of different strata ni =Number of observations of the strata that

observation i belongs to pi =Proportion in total parent group of the strata that

observation i belongs to

M

ii

M

iii

n

SnS

1

1

2

2

)1(

)1(