1SINTEF Energy Research

Remodece meeting September 2007

Nicolai Feilberg

WP5 Presentation and discussion on data analysis

2SINTEF Energy Research

WP5 Analysis

Format for exchange of data information Status metering campaign Quality assurance and control Deliverable D10:

Yearly electricity consumption and average specific load curves for each type of appliance, and potential energy savings.

Deadline month 32 – summer 2008

3SINTEF Energy Research

Data exchange format

Format Ascii txt files

Microsoft Excel can save in this format if selected *.xls file format can not be used

Columns should be divided by tabulators. Dates should be in the format “YYYY-MM-DD” ID’s of appliances should be in the format “ccccppnnnttaann”

Data exchange Partners should send the data files to Enertech and Sintef every

month/every 2 months, or when data are ready to be analysed.

4SINTEF Energy Research

Data file format

AppFormat.txt

Contains watt consumptions during 10 minutes intervals.

ID: ccccppnnnttaannApplianceDetails : < relevant comments (not used!) ><one blank line>Date Hour Wh/10min2007-02-01 12:30 18.52007-02-01 12:40 18.8...

5SINTEF Energy Research

Household format

Contains information of the residents in the houseHouseHoldID <9 digit serial number>Name <Name of occupant>Address <Text : address of household>PostCode <post code>PhoneNumber <Phone number>Ageless than 12: <nn>Age 13 to 18: <nn>Age 19 to 65: <nn>Age 65 more: <nn>Education Level <Degree (text)>El Consumption Year <kWH> <€€€€€€€€€€>Type of building <Single family house, Multi.-occupancy building, other>ElSpaceHeat <y(es) or n(o)>ElWaterHeat <y(es) or n(o)>Climate <Text identifying a climate station>

6SINTEF Energy Research

Status metering campaigns

Metering data is sent Sintef for check and analysis Data received for check of format

Portugal 18 houses 14-21 days Tjekkia 1 house 19 days Germany 6 houses 14 days Norway 5 houses 14 days

Data received for analysis Norway

Enertech Database on the air Sintef needs raw data with 10 minutes intervals from earlier

campaigns

7SINTEF Energy Research

Metering campaign in Norway

Equipment to be 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

8SINTEF Energy Research

Power detective file Problem: radio contact

9SINTEF Energy Research

Draft: Analysis report D10

Title: Yearly electricity consumption and average specific load curves for each type of appliance, and potential for energy savings

Contents: Total consumption in households Domestic computers and peripherals New electronic loads Home movie systems, game consoles, DVD players and large

Plasma/LCD TV sets Chargers for cordless and mobile phones and cordless tools Lighting appliances Cold/washing/drying Air conditioning, space heating and water heating Conclusion: Assessment of the potential electricity savings

10SINTEF Energy Research

Types of equipment metered are dependent on country:Countries Appliances and end-uses"Old EU Countries"

- Belgium

- Denmark

- France

- Germany

- Greece

- Italy

- Portugal

- Domestic computer and peripherals,

- New electronic loads : home movie systems, game consoles, DVD players and recorders, large Plasma/LCDs sets,

- Other standby power : chargers for cordless and mobile phones, cordless tools,

- Lighting,

- Air conditioners (Southern Europe).

"Central and Eastern EU Countries"

- Bulgaria

- Czech Republic

- Hungary

- Romania

- Norway

- Cold appliances,

- Washing machines

- Dryers,

- Lighting,

- New electronic loads.

11SINTEF Energy Research

Total premise consumption

Distribution of average consumption during day for workdays/winter of total household consumption

0

1

2

3

4

5

6

7

8

9

10

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hour

kW

h/h

Average Best Practice: 773 Worst Practice. 3759

12SINTEF Energy Research

Average graph washing machine

Distribution of average consumption during workdays, winter of Washing machines

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

kW

h/h

60993-3/2004-04-30 60993F-3/2003-11-22 61081-1/2001-02-16 61114-1/1998-06-24 61115-1/1998-09-17

13SINTEF Energy Research

Percentile graph

Percentile graph of Washing machine

0

0.5

1

1.5

2

2.5

3

3.5

4

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hour during day

kW

h/h

10 %

20 %

30 %

40 %

50 %

60 %

70 %

80 %

90 %

100 %

14SINTEF Energy Research

Peak load profiles

Peak load profiles for Washing machines during winter workdays

0

0.5

1

1.5

2

2.5

3

3.5

4

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

kW

h/h

60993-3/2004-04-30 60993F-3/2003-11-22 61081-1/2001-02-16 61114-1/1998-06-24 61115-1/1998-09-17

15SINTEF Energy Research

Standby graph

TV Highload Weekend

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1 2 3 4 5

Different TV's metered

WH

Standby consumption Wh Total consumption Wh

16SINTEF Energy Research

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

17SINTEF Energy Research

18SINTEF Energy Research

Quality of metered values

Values can have bad quality Missing values due to malfunction of radio Metering unit has accumulated values in time periods with no radio

contact Other reasons for erroneous values

Analyse Software must find and take care of erroneous values If values are marked as error, do not use Find values that are clearly higher than normal/average

19SINTEF Energy Research

Daylight saving hours

Power detective units automatically detects hour when dato format changes during spring and autumn

Other units does not change values Does operator change the time manually Should analyting software account for change of the time when

reading the metering data files?

It is necessary that this problem is handled: If not profiles will be erroneous during summer or winter season

One hour shifts of profiles

Will Enertech equipment take care of this problem?