Publications related to Empowering turbocompressor design with AI: a unified approach to robustness and all-at-once optimization

Related publications (10)

Techno-economic evaluation of biogas-fed SOFC systems with novel biogas purification and carbon capture technologies

Gianluca Monticone, Jan Van Herle, Hangyu Yu

Small-scale biogas-fed solid oxide fuel cell (SOFC) systems, integrated with carbon capture storage (CCS) technologies, offer a sustainable solution for European farms’ heat and power demands with minimal carbon emissions. This study investigates different ...

Pergamon-Elsevier Science Ltd2024

A combined Control by Interconnection—Model Predictive Control design for constrained Port-Hamiltonian systems

Anna Ngoc Minh Trang Vu

This paper proposes a Control by Interconnection design, for a class of constrained Port-Hamiltonian systems, which is based on an associated Model Predictive Control optimization problem. This associated optimization problem allows to consider both state ...

2022

Real-Time Nonlinear Model Predictive Control for Fast Mechatronic Systems

Petr Listov

This thesis presents an efficient and extensible numerical software framework for real-time model-based control. We are motivated by complex and challenging mechatronic applications spanning from flight control of fixed-wing aircraft and thrust vector cont ...

EPFL2022

A Multi-Step Reconfiguration Model for Active Distribution Network Restoration Integrating DG Start-Up Sequences

Sidi-Rachid Cherkaoui, Hossein Sekhavatmanesh

The ever-increasing penetration of Distributed Generators (DGs) in distribution networks suggests to enable their potentials in better fulfilling the restoration objective. The objective of the restoration problem is to resupply the maximum energy of loads ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

An Inertial Parallel and Asynchronous Forward-Backward Iteration for Distributed Convex Optimization

Colin Neil Jones, Georgios Stathopoulos

Two characteristics that make convex decomposition algorithms attractive are simplicity of operations and generation of parallelizable structures. In principle, these schemes require that all coordinates update at the same time, i.e., they are synchronous ...

SPRINGER/PLENUM PUBLISHERS2019

Fast Simulation of Electromagnetic Transients in Power Systems : Numerical Solvers and their Coupling with the Electromagnetic Time Reversal Process

Reza Razzaghi

The development of modern and future power systems is associated with the definition of new approaches for their simulation, control, and protection. To give an example, the increasing connection of massive renewable energy conversion systems is justifying ...

EPFL2016

Robust Optimization for Strategic Energy Planning

Michel Bierlaire, François Maréchal, Stefano Moret

Long-term planning for energy systems is often based on deterministic economic optimization and forecasts of fuel prices. When fuel price evolution is underestimated, the consequence is a low penetration of renewables and more efficient technologies in fav ...

Transport and Mobility Laboratory2014

Scalable sparse covariance estimation via self-concordance

Volkan Cevher, Anastasios Kyrillidis, Quoc Tran Dinh, Rabeeh Karimi Mahabadi

We consider the class of convex minimization problems, composed of a self-concordant function, such as the logdet metric, a convex data fidelity term h and, a regularizing -- possibly non-smooth -- function g. This type of problems have recently attracted ...

2014

Chromium Poisoning : The Needle in the SOFC Stack

Josef Andreas Schuler

This thesis focuses on Cr-poisoning in solid oxide fuel cells (SOFC), which currently presents a key challenge for the development of this technology. By the implementation of dedicated experimental tools, this work offers a new access to, and comprehensio ...

EPFL2012

Progressive activation of degradation processes in solid oxide fuel cell stacks: Part II: Spatial distribution of the degradation

Jan Van Herle, Daniel Favrat, Arata Nakajo

Solid oxide fuel cell (SOFC) stack design must yield the highest performance, reliability and durability to achieve the lowest cost of electricity delivered to end-users. Existing modelling tools can cope with the first aim, but cannot yet provide sufficie ...

Elsevier2012