On the Input-Output Behavior of a Geothermal Energy Storage: Approximations by Model Order Reduction
Paul Honore Takam, Ralf Wunderlich

TL;DR
This paper develops a low-dimensional model for a geothermal energy storage's input-output behavior using model order reduction techniques, enabling efficient simulation of energy flows during charging and discharging.
Contribution
It introduces a novel approach combining linearization and Lyapunov balanced truncation to approximate complex heat storage dynamics with few equations.
Findings
Reduced-order models accurately replicate input-output behavior
Few ODEs suffice for effective approximation
Model order reduction improves computational efficiency
Abstract
In this paper we consider a geothermal energy storage in which the spatio-temporal temperature distribution is modeled by a heat equation with a convection term. Such storages often are embedded in residential heating systems and control and management require the knowledge of some aggregated characteristics of that temperature distribution in the storage. They describe the input-output behaviour of the storage and the associated energy flows and their response to charging and discharging processes. We aim to derive an efficient approximative description of these characteristics by a low-dimensional system of ODEs. This leads to a model order reduction problem for a large scale linear system of ODEs arising from the semi-discretization of the heat equation combined with a linear algebraic output equation. In a first step we approximate the non time-invariant system of ODEs by a linear…
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Taxonomy
TopicsModel Reduction and Neural Networks · Numerical methods for differential equations · Fuel Cells and Related Materials
