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Modeling Approach for Thermal Dependencies in Complex Industrial Energy Supply System

Kohne, Thomas and Becker, Aron and Weber, Thomas and Panten, Niklas and Abele, Eberhard (2019):
Modeling Approach for Thermal Dependencies in Complex Industrial Energy Supply System.
In: 8th DACH+ Conference on Energy Informatics, Abstract, 2 (S2), pp. 13-17, DOI: 10.1186/s42162-019-0098-7,
[Article]

Abstract

Rising digitization in industrial production sites and processes o ers the opportunity to implement optimization approaches for operational strategies of decentralized energy supply systems (DESS). Current model-based approaches like mixed integer linear programming (MILP) often neglect modeling temperature dependencies and thermal inertia in complex thermal grids in production sites. In this paper a modular MILP model is presented in a model predictive control (MPC) approach which integrates temperature dependencies and thermal inertia in complex DESS. The validation by simulation shows that the approach manages to map thermal dependencies successfully and reduce energy consumption and cost of the DESS by optimizing temperature levels. Hence the approach enables a stable optimized control of complex DESS.

Item Type: Article
Erschienen: 2019
Creators: Kohne, Thomas and Becker, Aron and Weber, Thomas and Panten, Niklas and Abele, Eberhard
Title: Modeling Approach for Thermal Dependencies in Complex Industrial Energy Supply System
Language: English
Abstract:

Rising digitization in industrial production sites and processes o ers the opportunity to implement optimization approaches for operational strategies of decentralized energy supply systems (DESS). Current model-based approaches like mixed integer linear programming (MILP) often neglect modeling temperature dependencies and thermal inertia in complex thermal grids in production sites. In this paper a modular MILP model is presented in a model predictive control (MPC) approach which integrates temperature dependencies and thermal inertia in complex DESS. The validation by simulation shows that the approach manages to map thermal dependencies successfully and reduce energy consumption and cost of the DESS by optimizing temperature levels. Hence the approach enables a stable optimized control of complex DESS.

Journal or Publication Title: 8th DACH+ Conference on Energy Informatics, Abstract
Volume: 2
Number: S2
Uncontrolled Keywords: Indusrial energy supply systems;MILP;MPC;Thermal dependencies
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > ETA Energy Technologies and Applications in Production
Date Deposited: 28 Nov 2019 07:01
DOI: 10.1186/s42162-019-0098-7
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