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S l C

ti

L b

Solar Computing Lab

P j t

d G l

Projects and Goals

Prof Dr Frank U Hamelmann

Prof. Dr. Frank U. Hamelmann Prof. Dr. Grit Behrens

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FH Bielefeld, Campus Minden

Frank U. Hamelmann

Professor for Physics

Grit Behrens

Professor for Computer

Johannes Weicht

Scientific Employer

Professor for Physics

Thin Film Technologies

/ Photovoltaics

Professor for Computer

Sciences

Web based applications and

li d

tifi i l

Scientific Employer

Photovoltaics

applied artificial

intelligence

(3)

FH Bielefeld, Campus Minden

Using Photovoltaics without subcidies,

h

d

h

k?

how does that work?

We will show you!

(4)

Recent and Future Projects

Land NRW: FH Basis 2011 – Universeller Messstand

für Energieeffizienzmessungen

Gesamtfördersumme 75 000 € (bewilligt 15 11 2011)

Dank an das FITT-Team der FH Bielefeld! Gesamtfördersumme 75.000 € (bewilligt 15.11.2011) • BMBF: IngenieurNachwuchs 2012 – Ertragsoptimierung mikromorpher PV-Dünnschichtmodule Dünnschichtmodule Gesamtfördersumme 310.000 € (bewilligt 1.9.2012)

Land NRW: FH Struktur 2012 - Soziale

Mobilisierungsstrategien im Politikfeld g g Klimaschutz (Mitantragstellerin)

Gesamtfördersumme 240.000 € (bewilligt 1.8.2012)

• Weitere Drittmittelanträge eingereicht über 500.000 €

(BMBF, Land NRW) und geplant (BMU, EU, etc…)

• Kooperationen mit Firmen (Inventux, Schüco, u.a.),

öffentlichen Einrichtungen (Stadt Bielefeld, u.a.),

H h h l / I tit t it (U i Bi l f ld U i

Hochschulen / Instituten europaweit (Uni Bielefeld, Uni Neuchatel, Uni Uppsala, Uni Breslau, Slowakische und Bulgarische Akademie der Wissenschaften, u.a.)

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How to use PV without subcidies?

Maximum yield at lowest costs

 Reliable forecast of the expected yield for new

 Reliable forecast of the expected yield for new systems

 Choosing the most profitable and reliable technology for the location

Foto: Schüco

for the location

 Fault detection in time

 PV as part of the building shell (BIPV)

High Level of self-consumption

 Reliable yield forecast for the next hours and days

 Optimized adaption of the pv-system to the demand of electricity

 Inclusion of storage devices (costs?)

Perfect: PV systems on

 Inclusion of heating / warm water

buildings with a high

demand on electricity

during the day

(multi-f

il h

i d

)

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Methods and Goals

• Interdisziplinary collaboration between physics and computer science in

research and teachingg

• Outdoor-testfield for PV-modules with mpp-tracking • Universal database for monitoring and analysis

• Development of a simulation model for longterm yield forecast • Development of a simulation model for longterm yield forecast

• Development of a reliable short term yield forecast system based on

weather forecasts

Development auf automated fault detection based on yield data

• Development auf automated fault detection based on yield data

• Development of mobile apps for control and monitoring of PV-systems

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Relevant factors on the yield

Irradiation - Season - Intensity - DaytimeDaytime - SpectrumSpectrum

- Clouds - direct / diffuse

- Air pollution

d l Graphic: Solar Computing Lab

- Orientation and tilt

Module temperatur - Air temperatur

- Windspeed

Graphic: Solar Computing Lab

- Mounting

External factors - Soiling / snow

and faults - Shadowing

and faults Shadowing - Bad contacts - Cell defects

D d ti (St bl W ki PID )

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Outdoor testfield

Inclusion of external PV-systems possible: • PV-systems with temperature- andPV-systems with temperature- and

irradiation sensors • Weather stations

• Inversters with datalogger • Inversters with datalogger

• Data transmission via internet (XML format preferred)

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Outdoor testfield

Independent monitoring of 6 modules

• Soon: expansion to 12 modules • Time resolution 10 seconds

• Measuring complete IV-curve

• Measuring of global radiation, direkt and diffuse radiation rain wind

and diffuse radiation, rain, wind speed and direction, air pressure, air and module temperature

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Solar Database

Content of the data

• Data of PV-yieldy

• Data of different sensors • Any time resolution possible

Online Interfaces (XML CSV ftp Online Interfaces (XML, CSV, ftp, http)

• More than 100 commercial

monitored PV-systemsy

• Testfields with higher time

resolution

Efficient query mechanism for Efficient query mechanism for scientific analysis and modelling

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Solar Database

-Analysis of all parameters is possible -Contemplation of dependenciesp p

Example: power and fill factor during a Example: power and fill factor during a cloudy day for a-Si module

Example: power and fill factor during a sunny day for poly-Si module

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Data Analysis

-Development of flexible web based data analysis tools for evaluation ofy data from our database

-Student project in computer science (web engineering)

Additional:

Mobile apps for easy system -Mobile apps for easy system monitoring

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Yield Forecast

-Input of location and system parameters

p

-Calculation of global radiation for a specific day

-Query of weather services as forecast of cloudiness for the next few days of cloudiness for the next few days -Calculation of energy yield to be

expected for the next days with 1 hour resolution

-Student project in computer sciences (web engineering)

-Project will be continued for improved resolution and reliablility

(14)

Online-Game about self-consumption of PV-power

-Web based online game

-Teaching about use of PV-powerg p

-Balancing between storage of power in batteries or selling of power at

different prices

Student project in computer sciences -Student project in computer sciences (web engineering)

(15)

Evaluation of Thin Film Silicon Technology

Using the advantages of micromorph silicon

Good yield at low light conditions – flat roofs with east-west direction Good yield at low light conditions flat roofs with east west direction Low temperature coefficient – good performance at high temperatures Lower degradation at high temperatures – better performance at higher

temperatures

Current projects (Partner: Inventux, Berlin)

-How can the performance in different climate regions be modeled from lab p g data?

-How can the layer design be changed to inprove the performance in hot areas with high irradation levels?

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Outlook

Today it is cheaper in Germany to use PV-power from the roof (13-17 cent per kWh) than buying it (for households > 25 cent per kWh)

 It is worth to use self produced PV-power!

 Reliable forecasts are needed in order to know how much PV-power can be used

 Ensuring Highest yields with easy monitoring  Inclusion of storage systems

 Combination with heat pump

 Combination with heat pump

 Using PV-power for warm water generation or air conditioning

 G t PV f i d t (fl t f )

Foto: Schüco  Great: PV-power for industry (flat roofs)

and multi-family houses, with high self-consumption

References

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