Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Systematic Development of application-oriented Operating Strategies at the Example of an Industrial Heating Supply System

Version 1 : Received: 7 March 2024 / Approved: 7 March 2024 / Online: 8 March 2024 (09:59:13 CET)

A peer-reviewed article of this Preprint also exists.

Theisinger, L.; Frank, M.; Weigold, M. Systematic Development of Application-Oriented Operating Strategies for the Example of an Industrial Heating Supply System. Energies 2024, 17, 2086. Theisinger, L.; Frank, M.; Weigold, M. Systematic Development of Application-Oriented Operating Strategies for the Example of an Industrial Heating Supply System. Energies 2024, 17, 2086.

Abstract

The ongoing challenge to ensure a sustainable and affordable energy supply forces industrial companies to implement appropriate measures. These measures typically lead to an increased system complexity, which has to be addressed during operation. Whereas existing approaches from the field of supervisory and optimal control appear to be capable of mastering this issue, these are still not adopted in industry. Therefore, this work presents a procedure model for the systematic development of application-oriented operating strategies for industrial energy supply systems. The procedure model combines research approaches from the fields of sequencing control and approximate MPC to extract rule-based operating strategies. By splitting the procedure model into five phases, expert knowledge can be integrated in a target-oriented manner. Subsequently to the description, the procedure model is exemplary applied to the example of an industrial heating supply system. Throughout an optimization study, the developed operating strategy is compared to a MPC strategy as well as a baseline strategy. Whereas the conventional MPC approach is the upper bound with regard to optimality, the developed operating strategy is able to generate comparable results. Compared to the baseline strategy, a relative reduction in operating expenses of 5.4 % to 37.0 % are achieved in this specific use case.

Keywords

Approximate MPC; HVAC; Procedure model

Subject

Engineering, Control and Systems Engineering

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