Prof. Dr. Grit Behrens

Transcription

1 Solar Computing Lab Projects and Goals Prof Dr Frank U Hamelmann Prof. Dr. Frank U. Hamelmann Prof. Dr. Grit Behrens

2 FH Bielefeld, Campus Minden Frank U. Hamelmann Professor for Physics Thin Film Technologies / Photovoltaics Grit Behrens Professor for Computer Sciences Web based applications and applied artificial i intelligence Johannes Weicht Scientific Employer Photovoltaics

3 FH Bielefeld, Campus Minden Using Photovoltaics without subcidies, how does that work? We will show you!

4 Recent and Future Projects Land NRW: FH Basis 2011 Universeller Messstand für Energieeffizienzmessungen Gesamtfördersumme (bewilligt ) 11 BMBF: IngenieurNachwuchs 2012 Ertragsoptimierung mikromorpher PV- Dünnschichtmodule Gesamtfördersumme (bewilligt ) Land NRW: FH Struktur Soziale Mobilisierungsstrategien g im Politikfeld Klimaschutz (Mitantragstellerin) Gesamtfördersumme (bewilligt ) Weitere Drittmittelanträge eingereicht über (BMBF, Land NRW) und geplant (BMU, EU, etc ) Kooperationen mit Firmen (Inventux, Schüco, u.a.), öffentlichen Einrichtungen (Stadt Bielefeld, u.a.), Hochschulen h / Instituten t europaweit (Uni Bielefeld, ld Uni Neuchatel, Uni Uppsala, Uni Breslau, Slowakische und Bulgarische Akademie der Wissenschaften, u.a.) Dank an das FITT-Team der FH Bielefeld!

5 How to use PV without subcidies? Maximum yield at lowest costs Reliable forecast of the expected yield for new systems Choosing the most profitable and reliable technology for the location Fault detection in time PV as part of the building shell (BIPV) Foto: Schüco 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?) Inclusion of heating / warm water Perfect: PV systems on buildings with a high demand on electricity during the day (multi- family houses, industry)

6 Methods and Goals Interdisziplinary collaboration between physics and computer science in research and teaching 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 reliable short term yield forecast system based on weather forecasts Development auf automated fault detection based on yield data Development of mobile apps for control and monitoring of PV-systems Graphic: Solar Computing Lab

7 Relevant factors on the yield Irradiation -Season -Intensity - Daytime - Spectrum - Clouds - direct / diffuse - Air pollution - Orientation and tilt Module temperatur -Air temperatur - Windspeed - Mounting External factors - Soiling / snow and faults - Shadowing - Bad contacts - Cell defects - Degradation (Staebler-Wronski, PID, ) Graphic: Solar Computing Lab

8 Outdoor testfield Inclusion of external PV-systems possible: PV-systems with temperature- and irradiation sensors Weather stations Inversters with datalogger Data transmission via internet (XML format preferred) Graphic: Solar Computing Lab

9 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 speed and direction, air pressure, air and module temperature Graphic: Solar Computing Lab

10 Solar Database Content of the data Data of PV-yield Data of different sensors Any time resolution possible Online Interfaces (XML, CSV, ftp, http) More than 100 commercial monitored PV-systems Testfields with higher time resolution Efficient query mechanism for Efficient query mechanism for scientific analysis and modelling

11 Solar Database -Analysis of all parameters is possible -Contemplation of dependencies 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

12 Data Analysis -Development of flexible web based data analysis tools for evaluation of data from our database -Student project in computer science (web engineering) Additional: -Mobile apps for easy system monitoring

13 Yield Forecast -Input of location and system parameters -Calculation of global radiation for a specific day -Query of weather services as forecast 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-power -Balancing between storage of power in batteries or selling of power at different prices -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 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 data? -How can the layer design be changed to inprove the performance in hot areas with high irradation levels?

16 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 Using PV-power for warm water generation or air conditioning Great: PV-power for industry (flat roofs) and multi-family houses, with high self-consumption Foto: Schüco