Power Forecast of Photovoltaic Systems-An Approach for Improving Energy Management of DC-Supplied Production Plants

Gutwald B, Barth M, Mönius O, Zeilmann B, Franke J (2024)

Publication Type: Conference contribution

Publication year: 2024

Publisher: Springer Nature

Series: Lecture Notes in Production Engineering

Book Volume: Part F1764

Pages Range: 559-568

DOI: 10.1007/978-3-031-47394-4_54

Abstract

Regeneratively fed Direct Current (DC) grids play a key role in the energy transition. The promising supply architecture for industrial plants is not only materially efficient in its topology, but it also distributes energy without large conversion losses, especially for electric drives. While the architecture already offers a particularly efficient integration for renewable energies, the natural fluctuation must be mastered in energy management. Depending on the orientation, dimensioning and geographical conditions, this paper describes an approach and implementation of power forecasting for photovoltaic (PV) systems based on numerical weather predictions. Furthermore, the associated energy management scenarios for storage and loads in DC-supplied production plants are presented. The advantages of energy forecasting lie in the optimal design of the DC-Grid components, the improvement of peak shaving and the early energy optimisation of production control through connection to a Manufacturing Execution System (MES).

Authors with CRIS profile

Benjamin Gutwald Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Martin Barth Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik

Involved external institutions

Richter R&W Steuerungstechnik GmbH DE Germany (DE)

How to cite

APA:

Gutwald, B., Barth, M., Mönius, O., Zeilmann, B., & Franke, J. (2024). Power Forecast of Photovoltaic Systems-An Approach for Improving Energy Management of DC-Supplied Production Plants. In Proceedings of the Congress of the German Academic Association for Production Technology (pp. 559-568). Springer Nature.

MLA:

Gutwald, Benjamin, et al. "Power Forecast of Photovoltaic Systems-An Approach for Improving Energy Management of DC-Supplied Production Plants." Proceedings of the Congress of the German Academic Association for Production Technology Springer Nature, 2024. 559-568.

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