Der Auftrag des Competence Center für Erneuerbare Energien und Energieeffizienz (CC4E) auf dem Energie-Campus der HAW Hamburg ist, nachhaltige Lösungen für die Energieprobleme der Gesellschaft zu entwickeln. Im Smart Grid-Labor der Einrichtung werden effiziente und intelligente Strategien im Zusammenspiel von Energieerzeugung,-verbrauch und -speicherung entwickelt und getestet. Im Rahmen des Hackathons „What The Data!?“ von Cybus und Dezera haben wir mit Reshin ein grundlegendes Monitoring der Energieflüsse im Haus aufgebaut.
Am Campus wird durch Photovoltaik und dem Blockheizkraftwerk Strom erzeugt. Wenn der aktuelle Verbrauch höher ist als die momentane Erzeugung, wird die Differenz über den Hausanschluss aus dem Stromnetz bezogen. Umgekehrt kann Strom in das öffentliche Netz eingespeist werden, sobald die momentane Erzeugung den aktuellen Bedarf übersteigt. Die Visualisierung zeigt live die aktuelle Relation von Bereitstellung und Verbrauch.
Die Daten des Energie-Campus werden von einer Cybus-Middleware ausgelesen und in einem MQTT-Broker bereitgestellt. Reshin abonniert die relevanten Topics des Broker, speichert sie für historischen Zugriff und bereitet sie für diverse Darstellungen auf.
zum Projekt
As part of a prototype project for Schneider-Neureuthner Partner AG (SNP), we have explored how complex information can be intuitively represented and used.
On behalf of its customers, SNP is carrying out SAP transformations, during which detailed insights into customer systems are required. In large companies, SAP systems create complex, linked structures which vary in different ways depending on the angle and task in hand. These structures cannot be easily illustrated with simple, tabular representations. Therefore, they do not facilitate intuitive access and do not demonstrate their effectiveness in the transformation process adequately.
We have implemented three measures in the prototype that allow structures to be represented more clearly and used more effectively:
- Using a modern, information-centred layout supports detecting relevant information quicker.
- Use-case oriented aggregations reduce the wealth of information and only present the details germane to the current task.
- Interactive tools structure the information separately for the respective context. They offer options for changing perspectives and for focusing on specific aspects of currently relevant structures.
The Competence Centre for Renewable Energies and Energy Efficiency (CC4E) located on the Energy Campus at HAW Hamburg is developing sustainable solutions for society’s energy problems. In a smart grid laboratory at the institution, efficient and intelligent strategies are being developed and tested to analyze the interaction of energy production, consumption and storage. As part of the hackathon “What the Data!?” hosted by Cybus and Dezera, we built a basic system for monitoring energy flows in house.
Electricity is generated on campus using photovoltaics and thermal power stations. If the current consumption is higher than the generation that moment, the difference is covered by the building connection to the electricity grid. On the other hand, electricity can be stored in the public grid as soon as the current generation exceeds actual use. Our live visualisation shows the current relationship between supply and consumption.
The energy campus data is read out using Cybus middleware and provided from a MQTT broker. Reshin subscribes to the relevant topics of the broker, stores them for historical access and uses them for various visualizations.
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