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PV self-consumption maximisation
Self-consumption of on-site generated PV energy has become a profitable business model for private households in Germany. In Fellbach ZEROplus we investigated on how battery electric vehicles (BEV) can increase the self-consumption. We developed a Home Energy Management System (HEMS) and an intelligent charging infrastructure, which is capable of computing forecast based charging schedules. The optimisation goal was hereby to maximise the share of PV energy charged by the BEV. The system was successfully tested in a two-year field test under realistic conditions. Our charge algorithm led to excellent results and self-consumption could be increased by controlled charging compared to uncontrolled charging.
OpenMUC Applications
The system consists of two OpenMUC devices for each household. One acts as HEMS and the other one as charging controller (SECC). Zeroplus developed the latest patented measure instrument: PC-based logic analyzer. ZEROPLUS main page Video Game Accessories Division Instrument Division Amusement Division About. Zeroplus developed the latest patented measure instrument: PC-based logic analyzer. Driver Download. Note: If you can't find your model number from the drop down list, please click here to email us for further assistance. Make sure you download the correct file; If you have installed ZeroPlus Driver before, remove it and retry; Disable antivirus and retry; Run the program as administrator If you have tried all the methods above and your problem still exists, log on to Brook’s official website, go to “Contact us” for assistance.
HEMS Application
- Samples and logs four smart meters in a five seconds interval via M-Bus
- Fully configurable aggregator which additionally down samples the log data for further processing
- Uses OpenMUC’s REST web service to transmit live and historical data to the HEMS UI
- Project specific OpenMUC driver retrieves PV forecasts from an external service provider
- Module to compute household load forecast based on historical data
- Charging algorithm which computes charging schedules with maximal share of PV energy based on user input, residual PV and household load forecast
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SECC Application
- Uses OpenMUC’s REST web service to receive charge parameter like desired state of charge (SoC) and desired departure time from the EVSE UI
- Charge sequence control which reacts on user input and vehicle events
- Project specific OpenMUC driver to translate charging schedules into IEC 61851-1
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Further Information on Fellbach ZEROplus