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Bei der Integration technischer Energiemanagementsysteme (tEnMS) in Automatisierungsanlagen fällt ein hoher Engineering-Aufwand an, besonders für die Steuerungsprogrammierung. Dieser Engineering-Aufwand ist für industrielle Anwender der Hauptgrund, integrierte tEnMS nicht einzusetzen. Im Rahmen des Forschungsprojektes „Integriertes Anlagenengineering zur Erhöhung der Energieeffizienz (IAE4)“ (Förderkennzeichen: ZN2948; Forschungsprofessur des Landes Niedersachsen/Volkswagenstiftung) wurde untersucht, wie sich dieser Engineering-Aufwand reduzieren lässt. Hierzu wurde ein Software-Werkzeug entwickelt, das die benötigten Steuerungsprogramme automatisch aus Engineering-Daten und Gerätebeschreibungsdateien generiert. Dieser Beitrag stellt die Ergebnisse des IAE4-Projektes vor.
Requirements for an energy data information model for a communication-independent device description
(2021)
With the help of an energy management system according to ISO 50001, industrial companies obtain the opportunities to reduce energy consumption and to increase plant efficiencies. In such a system, the communication of energy data has an important function. With the help of so-called energy profiles (e.g. PROFIenergy), energy data can be communicated between the field level and the higher levels via proven communication protocols (e.g. PROFINET). Due to the fact that in most cases several industrial protocols are used in an automation system, the problem is how to transfer energy data from one protocol to another with as less effort as possible. An energy data information model could overcome this problem and describe energy data in a uniform and semantically unambiguous way. Requirements for a unified energy data information model are presented in this paper.
With regard to climate change, increasing energy efficiency is still a significant issue in the industry. In order to acquire energy data at the field level, so-called energy profiles can be used. They are advantageous as they are integrated into existing industrial ethernet standards (e.g. PROFINET). Commonly used energy profiles such as PROFIenergy and sercos Energy have been established in industrial use. However, as the Industrial Internet of Things (IIoT) continues to develop, the question arises whether the established energy profiles are sufficient to fullfil the requirements of the upcoming IIoT communication technologies. To answer this question the paper compares and discusses the common energy profiles with the current and future challenges of energy data communication. Furthermore, this analysis examines the need for further research in this field.
In industrial production facilities, technical Energy Management Systems are used to measure, monitor and display energy consumption related information. The measurements take place at the field device level of the automation pyramid. The measured values are recorded and processed at the control level. The functionalities to monitor and display energy data are located at the MES level of the automation pyramid. So the energy data from all PLCs has to be aggregated, structured and provided for higher level systems. This contribution introduces a concept for an Energy Data Aggregation Layer, which provides the functionality described above. For the implementation of this Energy Data Aggregation Layer, a combination of AutomationML and OPC UA is used.