Flexibler Betrieb von Luftzerlegungsanlagen

Abstract

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Vor dem Hintergrund der Energiewende wird die aktuelle Forschung zum energieoptimalen, lastflexiblen Betrieb von Luftzerlegungsanlagen beschrieben. Zum einen wird ein realitätsgetreuer, druckgetriebener Ansatz zur dynamischen Simulation vorgestellt. Auf dessen Basis wird ein detailliertes, transientes Simulationsmodell einer realen Luftzerlegungsanlage, ein digitaler Zwilling, erstellt. Exemplarisch werden Simulationen extremer Betriebsszenarien, wie das Anfahren oder Abschalten des Hauptwärmeübertragers, der Trennkolonnen und der gesamten Luftzerlegungsanlage, beschrieben. Zum anderen wird die Lebensdauer des Hauptwärmeübertragers aufgrund der hohen thermischen Wechselbelastung mithilfe eines Prüfstands untersucht. Die aufgenommenen Daten dienen zur Ableitung und Validierung dreidimensionaler Simulationsmodelle.

Distributed Temperature and Strain Measurements at a Cryogenic Plate‐Fin Heat Exchanger Test Rig

“…As a result of the measurements, simplifying assumptions leading to a common wall 1D thermal simulation approach are not permissible, at least for the test scenario [2]. Strong 3D effects may also occur in PFHEs in the field, especially in atypical operation modes.…”

“…FlexASU is a sub-project of the Kopernikus project SynErgie, which aims to enable air separation units (ASUs) for demand side management [1,2] in terms of energy supply. The ability to operate air separation and other energyintensive industrial processes more flexibly, and hence vary the power demand is attracting growing interest because the higher share of renewable energy sources is leading to an increasingly volatile energy market [3].…”

A Cryogenic Test Rig for Dynamically Operated Plate‐Fin Heat Exchangers

“…Air separation is one promising process for stabilizing the power grid, due to the high energy demand of air separation units (ASUs), their widespread application and high-density storage capacity using cryogenic liquid products. Therefore, the subproject ''FlexASU'' intends to enable such plants to operate in a flexible manner, where partial-load operation or complete shutdown are applied in times of low availability of power from renewable energies [3]. Until now, ASUs, like many large-scale processes, have been designed for steady-state operation at the optimum operating point.…”

Investigation of a Model‐Based Deep Reinforcement Learning Controller Applied to an Air Separation Unit in a Production Environment

“…In addition, they do not fit our proposed application scenario as they all require first-principle process knowledge and hence will not be further considered within this paper. Optimizing the load flexibility of ASU by applying detailed process knowledge is also an active field of research [12].…”