activity
20162026
most citedModel Order Reduction for Gas and Energy Networks

19 citations · 46 across the 14 of their papers we have counts for

collaborators

16 papers

cs.CE2026

Perspectives on Sustainable Computational Science and Engineering

Julia Kowalski, Ann S. Almgren, Achim Basermann +43

Computational Science and Engineering (CSE) combines expertise at the intersection of engineering, applied mathematics, and computer science to form powerful methods for model-base…

math.OC2024★ 1 cited

Modelling Gas Networks with Compressors: A port-Hamiltonian Approach

Thomas Bendokat, Peter Benner, Sara Grundel +1

Transient gas network simulations can significantly assist in design and operational aspects of gas networks. Models used in these simulations require a detailed framework integrat…

math.OC2021

Next-Gen Gas Network Simulation

Christian Himpe, Sara Grundel, Peter Benner

To overcome many-query optimization, control, or uncertainty quantification work loads in reliable gas and energy network operations, model order reduction is the mathematical tech…

math.NA2021

Model-Order Reduction For Hyperbolic Relaxation Systems

Sara Grundel, Michael Herty

We propose a novel framework for model-order reduction of hyperbolic differential equations. The approach combines a relaxation formulation of the hyperbolic equations with a discr…

math.OC2020★ 3 cited

How much testing and social distancing is required to control COVID-19? Some insight based on an age-differentiated compartmental model

Sara Grundel, Stefan Heyder, Thomas Hotz +3

In this paper, we provide insights on how much testing and social distancing is required to control COVID-19. To this end, we develop a compartmental model that accounts for key as…

math.OC2020★ 19 cited

Model Order Reduction for Gas and Energy Networks

Christian Himpe, Sara Grundel, Peter Benner

To counter the volatile nature of renewable energy sources, gas networks take a vital role. But, to ensure fulfillment of contracts under these circumstances, a vast number of poss…

eess.SY2020★ 1 cited

Nonlinear model reduction of dynamical power grid models using quadratization and balanced truncation

Tobias K. S. Ritschel, Frances Weiß, Manuel Baumann +1

In this work, we present a nonlinear model reduction approach for reducing two commonly used nonlinear dynamical models of power grids: the effective network (EN) model and the syn…

math.NA2020★ 3 cited

Hyperbolic Discretization via Riemann Invariants

Sara Grundel, Michael Herty

We are interested in numerical schemes for the simulation of large scale gas networks. Typical models are based on the isentropic Euler equations with realistic gas constant. The n…

math.NA2020★ 4 cited

Clustering-Based Model Order Reduction for Nonlinear Network Systems

Peter Benner, Sara Grundel, Petar Mlinarić

Clustering by projection has been proposed as a way to preserve network structure in linear multi-agent systems. Here, we extend this approach to a class of nonlinear network syste…

math.NA2020★ 2 cited

Hyper-reduction for parametrized transport dominated problems via online-adaptive reduced meshes

Neeraj Sarna, Sara Grundel

We propose an efficient residual minimization technique for the nonlinear model-order reduction of parameterized hyperbolic partial differential equations. Our nonlinear approximat…

math.NA2020★ 1 cited

Automatic Decoupling and Index-aware Model-Order Reduction for Nonlinear Differential-Algebraic Equations

Nicodemus Banagaaya, Giuseppe Ali, Sara Grundel +1

We extend the index-aware model-order reduction method to systems of nonlinear differential-algebraic equations with a special nonlinear term f(Ex), where E is a singular matrix. S…

math.OC2019

Surrogate Models in Bidirectional Optimization of Coupled Microgrids

Manuel Baumann, Sara Grundel, Philipp Sauerteig +1

The energy transition entails a rapid uptake of renewable energy sources. Besides physical changes within the grid infrastructure, energy storage devices and their smart operation…

math.NA2018★ 9 cited

Efficient Numerical Methods for Gas Network Modeling and Simulation

Yue Qiu, Sara Grundel, Martin Stoll +1

We study the modeling and simulation of gas pipeline networks, with a focus on fast numerical methods for the simulation of transient dynamics. The obtained mathematical model of t…

math.OC2018

New Gramians for Linear Switched Systems: Reachability, Observability, and Model Reduction

Igor Pontes Duff, Sara Grundel, Peter Benner

In this paper, we propose new algebraic Gramians for continuous-time linear switched systems, which satisfy generalized Lyapunov equations. The main contribution of this work is tw…

eess.SY2018★ 3 cited

Synchronization and Aggregation of Nonlinear Power Systems with Consideration of Bus Network Structures

Petar Mlinarić, Takayuki Ishizaki, Aranya Chakrabortty +3

We study nonlinear power systems consisting of generators, generator buses, and non-generator buses. First, looking at a generator and its bus' variables jointly, we introduce a sy…

math.OC2016

Model Reduction of Linear Multi-Agent Systems by Clustering and Associated - and -Error Bounds

Hidde-Jan Jongsma, Petar Mlinarić, Sara Grundel +2

In this paper, we study a model reduction technique for leader-follower networked multi-agent systems defined on weighted, undirected graphs with arbitrary linear multivariable age…