SINTEF search

This article describes the use of 3D-printed demonstrators as boundary objects in intra-firm collaboration processes aimed at implementing additive manufacturing (AM). AM is a disruptive digital technology with large potential environmental benefits. Demonstrators are common early in the learning...

Confidential...

This paper performs an analysis of the electrification of an of-the-grid offshore oil and gas cluster of six platforms by means of a wind farm combined with a hydrogen energy hub. The latter, whose model is made publicly available, contains a grid-forming battery system and grid-following...

Blokkering av patogener ved inngangsstedene på mukosale overflater er en effektiv strategi for å forhindre infeksjon og alvorlig sykdomsutvikling. Følgelig har interessen for orale vaksiner som kan stimulere relevante mukosale responser økt de siste årene. Hos fisk tilbyr oral vaksinering den ekstra...

The binomial nomenclature system, introduced by Carl Linnaeus in the 18th century, has been fundamental for scientific communication and data management. Despite its utility, some scientific names reflect historical biases and ethical issues, including colonial legacies, racism, sexism, and...

This paper describes measurements of conduction currents in both neat and commercial insulating liquids. Conduction in thermodynamic equilibrium has been measured by applying a low ac voltage in a uniform field. High-field pre-discharge currents have been measured in a needle-to-plane configuration...

Accelerating decarbonization in the built environment is imperative for a sustainable future. Innovative building concepts on a neighbourhood scale present promising potential to revolutionise how buildings can be designed, built and operated in different climate zones that can bring about a...

A case study represented by an assisted living facility in Norway is modeled utilizing physics-based data-driven digital twin (DT) of the indoor thermal spaces with indoor temperature. Autoregressive Distributed Lag (ARDL), Machine Learning (ML), and Non-linear Autoregressive (NARX) models with...

We present a new approach and route optimization methodology to support analysis and planning of vessel and fleet performance in deep sea shipping for green, energy efficient, and safe navigation. The developed methodology combines the ship technical characteristics based on a ship model developed...

Co-simulation is the modular and flexible coupling of stand-alone simulation models. It promises to help unlock the maritime industry's digitalization potential, but the correct and efficient handling of coordinate systems between models is one of the unsolved challenges that stand in the way of...

Transport carries significant external costs such as climate change, accidents, pollution, and road congestion, driving national and international strategies for the development of new transport concepts. This includes shifting larger cargo volumes away from roads to more sustainable transport modes...