Zobrazeno 1 - 10
of 1 836
pro vyhledávání: '"Sansavini, A."'
Autor:
Varbella, Anna, Briens, Damien, Gjorgiev, Blazhe, D'Inverno, Giuseppe Alessio, Sansavini, Giovanni
The energy transition is driving the integration of large shares of intermittent power sources in the electric power grid. Therefore, addressing the AC optimal power flow (AC-OPF) effectively becomes increasingly essential. The AC-OPF, which is a fun
Externí odkaz:
http://arxiv.org/abs/2410.04818
Low-carbon hydrogen (H2) is envisioned to play a central role in decarbonizing European hard-to-abate industries, such as refineries, ammonia, methanol, steel, and cement. To enable its widespread use, H2 supply chain (HSC) infrastructure is required
Externí odkaz:
http://arxiv.org/abs/2407.05988
Modeling to generate alternatives (MGA) is an increasingly popular method in energy system optimization. MGA explores the near-optimal space, namely, system alternatives whose costs are within a certain fraction of the globally optimal cost. Real-wor
Externí odkaz:
http://arxiv.org/abs/2406.19809
Power grids are critical infrastructures of paramount importance to modern society and, therefore, engineered to operate under diverse conditions and failures. The ongoing energy transition poses new challenges for the decision-makers and system oper
Externí odkaz:
http://arxiv.org/abs/2402.02827
Inspection of insulators is important to ensure reliable operation of the power system. Deep learning is being increasingly exploited to automate the inspection process by leveraging object detection models to analyse aerial images captured by drones
Externí odkaz:
http://arxiv.org/abs/2312.11470
Deep neural networks (DNNs) are often coupled with physics-based models or data-driven surrogate models to perform fault detection and health monitoring of systems in the low data regime. These models serve as digital twins to generate large quantiti
Externí odkaz:
http://arxiv.org/abs/2303.10954
Nuclear energy has been gaining momentum recently as one of the solutions to tackle climate change. However, significant environmental and health-risk concerns remain associated with potential accidents. Despite significant preventive efforts, we mus
Externí odkaz:
http://arxiv.org/abs/2303.08868
Autor:
Stefano Mingolla, Paolo Gabrielli, Alessandro Manzotti, Matthew J. Robson, Kevin Rouwenhorst, Francesco Ciucci, Giovanni Sansavini, Magdalena M. Klemun, Zhongming Lu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-23 (2024)
Abstract The European ammonia industry emits 36 million tons of carbon dioxide annually, primarily from steam methane reforming (SMR) hydrogen production. These emissions can be mitigated by producing hydrogen via water electrolysis using dedicated r
Externí odkaz:
https://doaj.org/article/8c254c21ef2e48c780a61ebf0bfe1584
Deep learning-based object detection is a powerful approach for detecting faulty insulators in power lines. This involves training an object detection model from scratch, or fine tuning a model that is pre-trained on benchmark computer vision dataset
Externí odkaz:
http://arxiv.org/abs/2212.11017
Physics-informed neural networks (PINNs) numerically approximate the solution of a partial differential equation (PDE) by incorporating the residual of the PDE along with its initial/boundary conditions into the loss function. In spite of their parti
Externí odkaz:
http://arxiv.org/abs/2211.11716