PREmdeK

Concerning sustainability, production is confronted with issues of energy and resource consumption of its products and their production. The main idea of our “PREmdeK”-Project is to give small and medium-sized enterprises the possibility for CO2-neutral but simultaneously economically profitable manufacturing.

Project Goals

The project PREmdeK demonstrates with realistic data how the green factory is possible for specific companies. PREmdeK stands for “Prediction and realization of the energy provision with decentralized power plants”. It aims for the simulation and visualization of scenarios for CO2-neutral and energy-efficient production.

A decentralized power plant is a summary of local, renewable energy-producers, such as wind power, photovoltaic, or solar heat. These should cover the entire power- and/or heat-demand of the (manufacturing) company.

Self-supplied and CO2-neutral

The production facility itself and the decentralized power plant together form a local energy system. How this local, autarkic and CO2-neutral supply is possible; what elements are additionally important and how everything works together is demonstrated with real case studies (refer also to our publications).

The main result of the project is the development of the PREmdeK Simulation. The PREmdeK simulation calculates the possible energy generation by the renewable power plant based on weather forecast data (historic or forecast) and suppliers the energy demand of the consumer for the time interval of 15 min and for a specific timeframe.

Future development of the simulation “PREmdeK 3.0”

The main change made to the software is the substitution of the monolithic structure by a multi-agent structure. The single agents of the hybrid power plant in PREmdeK 2.0 are transformed into a multi-agent type in PREmdeK 3.0.

Any agent sharing an ontology with the rest of the participating agents is able to take part in the simulation. This makes the software scalable, as well as future-proof, because new components can be easily added and older ones can be effortlessly modified.

Other changes introduced in the software are the distribution of energy according to sustainable criteria (e.g. energy costs, CO2 emission, corporate image) and the addition of new agent types for energy production.

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