INES Microgrid

DESCRIPTION

Microgrid (PV, Wind, electric mobility, CHP, electronic loads, several battery systems, thermal storages (hot + cold), thermal loads) that can operate in island mode and in grid-connected mode.

Research focus areas are:
* Grid-friendly operation (e.g. peak-shaving, provision of balancing power)
* Joint operation with other/neighboring microgrids
* Model-predictive control algorithms
* (Machine-learning based) prediction of generation and loads
* (Machine-learning based) energy system and component modeling
* Communication via SMGW

AREAS OF SPECIAL COMPETENCE

* System flexibility
* Machine learning
* Model-predictive control
* Battery management (including SOC/SOH estimation algorithms)

WHAT CAN BE TESTED

We look for R&D partners who are interested in developing and testing coordination mechanisms for prosumers (e.g. energy communities). We could provide a test bed for prosumer-side implementations and prosumer-side local control algorithms / energy agents.

AVAILABLE INFRASTRUCTURE

Microgrid (PV, Wind, electric mobility, CHP, electronic loads, several battery systems, thermal storages (hot + cold), thermal loads).

HOW TO GET STARTED WITH US

Contact us via schmidt@hs-offenburg.de.

PRICING MODEL

To be negotiated.

Selected Partner Contact
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Offenburg, Germany


Responsible organisation: Offenburg University of Applied Sciences, Institute of Energy Systems Technology, Germany

Prof. Dr. Michael Schmidt

contact via b2match
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This initiative has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreements no. 646039 and no. 775970.
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