Challenge / Goal
The degree of self-sufficiency of a microgrid is largely determined by the efficient use of its available self-generated energy resources. These resources, in turn, often depend on the weather conditions of the surrounding environment, especially with variable renewable energy sources. Generally, more wind energy can be generated in winter and more solar energy in summer. At the Baumwollspinnerei, a PV system with a large bulk battery will be integrated into the generation and consumption structure of the site. This integration, in turn, has an impact on the surpluses and demands that may be exchanged with the upstream distribution network via a Peer2Peer interface. This requires both intelligent sensor technology and a comprehensive network of the site.
Solution
At the Baumwollspinnerei, in addition to the energy management system for mapping generation and consumption and the load management system for the intelligent allocation of energy, modern sensor technology is also being introduced, which represents the data basis of the energy system. This sensor technology provides highly granular information on the amounts of energy generated or consumed. This also records the seasonal shift between generation and consumption. More detailed analyses and forecasts of the environment-dependent energy system’s behavior are made available through more precise data collection and its integration into an energy management system. Heating, in particular, is a highly weather-dependent form of energy. Intelligent measurement technology is additionally used to determine how much heat storage potential the material of the building has in the individual rental spaces. This is done by thermostats on the heaters learning how quickly or how slowly the desired temperature is reached in a room.
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