Abstract
A demand-response model was developed in the Automation Technology Laboratory at the Velbert/Heiligenhaus Campus (CVH) of Bochum University of Applied Sciences, in which energy users in the manufacturing sector are networked with a smart grid via a cloud platform in order to control production based on the supply of renewable energies.
Highlights
Due to the increasing scarcity and price increase of energy, companies active in production are already under pressure to increase the resource efficiency of their production facilities
In order to provide manufacturing SMEs with a basis for analyzing their energy consumption in relation to the product produced and the operating resources from both an energy and productivity point of view, it is necessary to develop a manageable solution [3]. Such a manageable system for a demand response scenario, in which production and consumption of energy is balanced [4] was developed in the Automation Technology Laboratory at the Velbert/Heiligenhaus Campus (CVH) of Bochum University of Applied Sciences, in which energy users in the manufacturing sector are networked with a smart grid via a cloud platform in order to control production based on the supply of renewable energies
The following scenarios were developed as part of the work: When a production order is to be started, it is calculated within the cloud platform whether sufficient renewable energies are available
Summary
Due to the increasing scarcity and price increase of energy, companies active in production are already under pressure to increase the resource efficiency of their production facilities. The control system is a RevolutionPi (RaspberryPi in an industrial housing) with a CoDeSys PLC Runtime Both parts of the demand response model, i.e., the smart grid model and the production system, are connected via OPC-UA to an edge gateway, which sends the energy data to a cloud platform from the company EXOR. The following scenarios were developed as part of the work: When a production order is to be started, it is calculated within the cloud platform whether sufficient renewable energies are available If this is the case, the PLC receives the signal to start the sample application. If not enough renewable energy is produced in the smart grid model, the person responsible for production receives this information and can decide, based on the importance of his order, to start production anyway or to wait for better availability of renewable energy sources
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