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A 3D-printed sorbent containing polyethylene-imine and multi-walled carbon nanotubes (PEI-MWCNT) was studied for post-combustion carbon capture. In this work, the adsorbent was printed on a kg scale and characterized for CO₂ adsorption through lab experiments. A 6-step VSA process was simulated...

Advances in the properties of OPC and new materials (i.e., mechanical strength, rheological properties, etc.) have shifted the R&D focus towards sealing capability of plugging materials at interfaces between the material and its adjacent medium. The objective of this paper is to outline the...

Robust underwater motion planning of autonomous underwater vehicles (AUVs) in dynamic cluttered environments is a problem that has yet to be addressed in depth. Due to advances in technology and computational capacity, AUVs are expected to operate safely and autonomously in increasingly challenging...

Generalizing machine learning models for petroleum applications, especially in scenarios with limited and less varied training data compared to real-world conditions, remains a persistent challenge. This study introduces a novel method combining interpolation mixup with a Variational Autoencoder...

This paper outlines a research roadmap of the INTEND project towards the development of a cognitive computing continuum that leverages human-like intelligence for intent-based data operations. The primary objective of this initiative is to create a system that can adapt dynamically to varying...

In Norway, as in other mountainous countries, snow avalanches pose a serious threat both to the users of their transport network and that system’s infrastructure. Road closures caused by avalanche danger or occurrence result in high economic costs and impact the reliability of Norway’s critical...

In the GEOSFAIR (Geohazard Survey from Air) innovation project for the Norwegian public sector, several UAV (Uncrewed Aerial Vehicles)-borne remote sensing payloads (LiDAR scanners; RGB, infrared, and multispectral cameras) were tested to gather information on the snow surface and its changes over...

This paper presents an end-to-end learning approach to developing a Nonlinear Model Predictive Control (NMPC) policy, which does not require an explicit first-principles model and assumes that the system dynamics are either unknown or partially known. The paper proposes the use of available...

In this paper, we will present an approach to compute the signed distance or level set function from the Standard Triangle Language (STL) file format. Then the level set is used to represent the surface of a given object inside the computational domain. The continuity and Navier-Stokes equations are...

Norske kommuner henger etter med klimatilpasning av eksisterende bygninger. Nå håper forskere i SINTEF at bedre verktøy, kunnskap og praksisfellesskap kan være til hjelp....