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FIELD TEST OF GRID ORIENTED MICRO CHP UNITS FOR DOMESTIC ENERGY SUPPLY Dipl.- Wirtsch. Ing. Arne Dammasch Prof. Dr.-Ing. Michael Kurrat

FIELD TEST OF GRID ORIENTED MICRO CHP UNITS FOR DOMESTIC ENERGY SUPPLY Dipl.- Wirtsch. Ing. Arne Dammasch Prof. Dr.-Ing. Michael Kurrat

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FIELD TEST OF GRID ORIENTED MICRO CHP UNITS FOR DOMESTIC ENERGY SUPPLY

Dipl.- Wirtsch. Ing. Arne DammaschProf. Dr.-Ing. Michael Kurrat

Frankfurt (Germany), 6-9 June 2011

phase 1: conception and development of a schedule planning algorithm for a grid oriented

operation mode of micro CHP units

phase 2: computer-based simulation of a virtual power plant consisting of micro CHP units is

implemented test starts on the micro CHP unit at the TU Braunschweig and further improvements

of the control interface are accomplished

phase 3: (since January 2011) testing and validation of simulation results within a field trial

Arne Dammasch – Germany – Main Session 4 – Paper 1080

Project phases

Frankfurt (Germany), 6-9 June 2011

Arne Dammasch – Germany – Main Session 4 – Paper 1080

Grid oriented operation mode of micro CHP units

elec

tric

al lo

ad

time

grid load without CHP grid load with CHP

Frankfurt (Germany), 6-9 June 2011

phase 1: conception and development of a schedule planning algorithm for a grid oriented

operation mode of micro CHP units

phase 2: computer-based simulation of a virtual power plant consisting of micro CHP units is

implemented test starts on the micro CHP unit at the TU Braunschweig and further improvements

of the control interface are accomplished

phase 3: (since January 2011) testing and validation of simulation results within a field trial

Arne Dammasch – Germany – Main Session 4 – Paper 1080

Project phases

Frankfurt (Germany), 6-9 June 2011

simulated settlement with 30 micro CHP units and 100 house connections

Arne Dammasch – Germany – Main Session 4 – Paper 1080

Simulation results

1micro CHP

unit

2micro CHP

units

5micro CHP

units

10micro CHP

units

15micro CHP

units

20micro CHP

units

25micro CHP

units

30micro CHP

units

ele

ctri

cal lo

ad

in

kW

time in ¼ h

resulting residential load

original residential load

Frankfurt (Germany), 6-9 June 2011

phase 1: conception and development of a schedule planning algorithm for a grid oriented

operation mode of micro CHP units

phase 2: computer-based simulation of a virtual power plant consisting of micro CHP units is

implemented test starts on the micro CHP unit at the TU Braunschweig and further improvements

of the control interface are accomplished

phase 3: (since January 2011) testing and validation of simulation results within a field trial

Arne Dammasch – Germany – Main Session 4 – Paper 1080

Project phases

Frankfurt (Germany), 6-9 June 2011

two apartment buildings in Braunschweig /Germany , each is equipped with a micro CHP unit

micro CHP unit: EcoPower e4.7 (4.7 kWel / 12.5 kWth ) thermal storage tank (1,000 liter) existing boiler remains as a peak load boiler

measurement and control system: central schedule management data aquisition for one building: 18 temperature sensors

4 fluid-flow meters1 control unit per micro CHP unit1 UMTS-Router

Arne Dammasch – Germany – Main Session 4 – Paper 1080

Information about the field test

daily amount of logged datafor one building:198,720 measured values!

Frankfurt (Germany), 6-9 June 2011

Arne Dammasch – Germany – Main Session 4 – Paper 1080

Installation and start of the field test

Braunschweig 11/23/2010

and01/04/2011

peak load boiler

micro CHP unit

thermal storage

tank

Frankfurt (Germany), 6-9 June 2011

Arne Dammasch – Germany – Main Session 4 – Paper 1080

Structure of the heating-system

the

rma

l s

tora

ge

peak load

boiler

micro CHP unit

heating circut

hot water

measurement hardware

control unit

fluid-flow metertemperature sensordata interconnectionheating supplyheating return

Frankfurt (Germany), 6-9 June 2011

each micro CHP unit is equipped with an UMTS-router fixed IP-address secure VPN-connection centralized schedule management

Arne Dammasch – Germany – Main Session 4 – Paper 1080

Information infrastructure

Zu r An z e ig e wird d e r Qu ic k T ime ™ De k o mp re s s o r „Gra fi k e n “

b e n ö tig t.

VPN AreaVPNDSL/LAN

VPNUMTS

VPN

UMTS

VPNUMTS

Sp

eic

her

SPLK BHKWHeiz-Kreislauf

Warm-Wasser

Messtechnik

Steuerkarte

Sp

eic

her

SPLK BHKWHeiz-Kreislauf

Warm-Wasser

Messtechnik

Steuerkarte

Sp

eic

her

SPLK BHKWHeiz-Kreislauf

Warm-Wasser

Messtechnik

Steuerkarte

centralized schedule management

Frankfurt (Germany), 6-9 June 2011

Arne Dammasch – Germany – Main Session 4 – Paper 1080

0

5

10

15

20

25

Le

istu

ng

in

kW

Heizlast Februar

-10

0

10

20

30

Tem

per

atu

r in

°C

Zeitverlauf

Thermal load and temperature in February 2011

time

tem

pera

ture

in °

Cth

erm

al lo

ad

in k

W

Frankfurt (Germany), 6-9 June 2011

the measurement system acquires data with high resolution quality measurement intervall = 10 seconds

Arne Dammasch – Germany – Main Session 4 – Paper 1080

Thermal load and hot water load forFebruary 8, 2011

0

2

4

6

8

10

12

Le

istu

ng

in

kW

Heizlast 8. Februar

0

10

20

30

40

50

60

Le

istu

ng

in

kW

Warmwasserlast 8. Februar

therm

al lo

ad

in k

W

therm

al lo

ad

in k

W

time time

thermal load hot water load

Frankfurt (Germany), 6-9 June 2011

forecast of thermal andgrid load

based on historically data

generation of aday-ahead-schedulefor each micro CHP unit of

the virtual power plant

Arne Dammasch – Germany – Main Session 4 – Paper 1080

Load forecast and schedule management

0:15 3:30 6:45 10:0013:1516:3019:4523:00 2:15 5:30 8:45 12:0015:1518:3021:450

5

10

15

20

25

Elektrischer Siedlungslastgang 02.02.2011

Zeit [hh.mm]

Lei

stu

ng

[kW

]

Thermischer Lastgang 02.02.2011

Fahrplan BHKW (elektrisch)

load

in

kW

time in hh:mm

scheduled feed-in of the micro CHP unit (February 4, 2011) grid load (February 2, 2011)thermal load (February 2, 2011)

Frankfurt (Germany), 6-9 June 2011

Arne Dammasch – Germany – Main Session 4 – Paper 1080

Quality of the load forecast

0:15 5:15 10:15 15:15 20:15 1:15 6:15 11:15 16:15 21:150

5

10

15

20

25

thermal load

Thermischer Lastgang 02.02.2011

Thermischer Lastgang 04.02.2011

time in hh:mmlo

ad i

n k

W0:15 5:15 10:15 15:15 20:15 1:15 6:15 11:15 16:15 21:15

0

5

10

15

20

25

30

grid load

Elektrischer Siedlungslastgang 02.02.2011

Elektrischer Siedlungslastgang 04.02.2011

time in hh:mm

load

in

kW

thermal load (February 2, 2011)thermal load (February 4, 2011)

load forecast is not one hundred percent accurate

grid load (February 2, 2011)grid load (February 4, 2011)

Frankfurt (Germany), 6-9 June 2011

despite less accuracy in the

load forecast… results only in minor deviations

from the schedule

results:

Arne Dammasch – Germany – Main Session 4 – Paper 1080

Quality of the schedule

0:15 3:30 6:45 10:0013:1516:3019:4523:00 2:15 5:30 8:45 12:0015:1518:3021:450

5

10

15

20

25

30

Elektrischer Siedlungslastgang 04.02.2011

time in hh:mm

load

in

kW

Fahrplan BHKW elektrisch real

Fahrplan BHKW (elektrisch)Geglätteter Siedlungslastgang 04.02.2011

DPd -11.22%

Dsd -8.47%

DPd: change of peak loadDsd: change of peak spread

real feed-in of the micro CHP unitreal grid load without CHPreal grid load with CHPinitial CHP schedule

Frankfurt (Germany), 6-9 June 2011

grid oriented operation mode can be realized

load forecast directly effects the quality of the operation schedule

optimization of the schedule generation algorithm

development of better load forecasting systems

integration of electrical storage systems

Arne Dammasch – Germany – Main Session 4 – Paper 1080

Conclusion

Outlook

Frankfurt (Germany), 6-9 June 2011

Dipl.-Wirtsch.-Ing. Arne DammaschWorking Group Energy Systems

 Technische Universität Braunschweig

Institute for High Voltage Technology and Electrical Power Systems – eleniaSchleinitzstraße 23 | 38106 Braunschweig | Germany

Email: [email protected]

Arne Dammasch – Germany – Main Session 4 – Paper 1080

Thank you!