Tec energy data HH-Bergedorf

Operating conditions are continuously recorded at the Competence Center for Renewable Energy and EnergyEfficiency (CC4E) for the generation of heat and electricity. This data set contains the timing of the power data of the generators such as the photovoltaic system (PV) and the combined heat and power plant (CHP) (heat and electricity) as well as (electricity) consumers such as the heat pump and the electric car charging station. In addition, the power of the current-side house connection is measured. Thus, the connection and feed-in of different systems or measuring points can be traced over time. The data, for example, provide information about when the PV system of the building produced how much electricity. In conjunction with the data of the house connection, it can be understood whether the electricity from PV was fed in or consumed in the building. The measuring points are located in facilities and rooms of the CC4E of HAW-Hamburg and are used for research. For more information about the real-time service: The real-time data service contains the location of the Competence Center for Renewable Energy and EnergyEfficiency (CC4E) as well as the measurement results of various energy generation and consumption measurements in JSON format provided in the SensorThings API (STA). In STA, the entity “Thing” stands for this location. There is a data stream for each energy consumption or generation measurement. The respective energy generation or consumption (real-time data) is obtained via the entity “Observations”. All times are given in the Coordinated World Time (UTC). In the entity Datastreams, there are other “key-value pairs” in the JSON object under the “key” “properties”. Based on the service and layer structure in the GIS, we introduced service and layer as additional “key-value pairs” under the JSON object properties. { “properties”:{ “service name”: “HH_STA_TEC_Energiedaten_HH-Bergedorf”, “layername”: “Total yield_pv_electric”, “key”:“value”} } Available layers in the layerName are: * Generation_pv_electric *Consumption_house connection_electric * Generation_CHP_electric *Consumption_wp_thermal * Generation_CHP_thermal * Consumption_km_electric * Consumption_km_thermal * Consumption_el_electric *Consumption_ma_electric * Temperature_storage_heating steps *Consumption_ecar charging station_electric * Total yield_pv_electric With the help of these “key-value pairs” filters can be defined for the REST request, e.g. https://iot.hamburg.de/v1.0/Datastreams?$filter=properties/serviceName eq ‘HH_STA_TEC_Energy Data_HH-Bergedorf’ and properties/layerName eq ‘Total Yield_pv_Electric’ The real-time data can also be obtained via an MQTT broker. The necessary IDs can be obtained via a REST request and then used for the subscription to a data stream: MQTT brokers: iot.hamburg.de Topic: v1.0/Datastream({id})/Observations