In last year's CII -challenge, we have demonstrated how 4 Swiss DSO smart-meter (SM) deliver their energy data through their local Customer Information Interface (CII, like M-BUS oder DSMR) by using specific IoT-Adapters that will publish the data towards a common interoperability layer, the MQTT-broker.
This year, we shall extend the range of SM to include further SM like Ensor, Kamstrup, Sagemcom and explore others. We also intend to deploy some new SM-powered IoT-Adapters to allow DSO-customers easy and reasonably inexpensive local access to their energy data. And we shall report on the issues encountered with MBUS-HDLC-DLMS-COSEM, DSMR and other types of CII.
The second part of the challenge shall investigate and show how the many EMS or smart-home systems (SHS like Loxone, KNX, Homeassistant, openHAB, ioBroker, and more) may obtain the energy-data by subscribing to the MQTT-broker.
We also intend to explore how to integrate the hourly next-day price forecast from ENTSO-E over MQTT. EMS, SHS or even the IoT-Adapters may display this information or take sensible load-shifting decisions to flatten their power use.
Because of much higher energy prices, PV system operatores may lose their previous economic incentive to use as much energy as possible from their own production for their local loads. Instead, local loads may be shifted to times of relativly lower energy prices which also nicely indicate less expected load.
🧑🏼🏫 Gantrisch Energie AG and Partner