SINTEF projects

Our research focus on risk reduction in autonomous systems by associating Deep Learning (DL) predictions with the inherent model and data uncertainty.

This project aimed to close the most critical knowledge gaps associated with accurate modelling of multiphase flow. An important basis for the work has been the utilization of new data for three-phase flow generated in the multiphase laboratories at...

The main goal of the AMRREX project is to implement WAAM and LMD processes for repair and refurbishment of offshore components, fulfilling O&G material requirements, with a measurable cost reduction and reduced lead time.

Develop at line and inline measurement systems for optimizing the fabrication process of Anisotropic Conductive Film.

The goal of the BOOST project has been to develop, implement and test a primary school-based approach to social and emotional learning (SEL), focusing on organizational development and development of school staff. This has been done in close...

The key objectives of the CARMOF project are to build a full demonstrator of a dry separation process for post-combustion CO₂ capture and to design customized, high packed density & low pressure drop structures to be used in CO₂ capture system.

CleanTex = Reduction of energy consumption and climate gas emissions in industrial Textile laundry processes

This project will make composite products more economically competitive, safer and more sustainable by addressing two shortcomings of composite products. 1) By developing methods for damage detection, we can increase safety and product lifetime...

The objective of DACOMAT is to develop more damage tolerant and damage predictable low cost composite materials in particular aimed for used in large load carrying constructions like bridges, buildings, wind-turbine blades and offshore structures...

Evidence Based Big Data Benchmarking to Improve Business Performance

We will enable scalability in number of robust high-quality assays to be developed for SpinChip's diagnostics platform by combining microfluidic simulations, advanced computer vision and state-of-the-art machine learning.

In the DiTail project we will study how exposure to fine tailings will affect marine copepods, fish eggs and fish larvae by integrating data from physical, physiological and molecular measurements into dynamic energy budget models.

SINTEF is leading a research project that will enable the DevOps of trustworthy smart IoT systems, and will test the technology developed on three pilots from the smart buildings, intelligent transportation, and healthcare domains.

The GAMER project will develop a novel cost-effective tubular Proton Ceramic Electrolyser (PCE) stack that will produce pure dry pressurized hydrogen. The main objective of GAMER is to design, build and operate a low cost 10 kW electrolyser system...

By developing a smart 3D camera mounted on the trawl opening, we will be able to report quantity, size and species of fish entering the trawl. This can be used to optimize the catch to make trawl fishing more sustainable.

There are significant resources of wind power in areas where few people live, and which cannot be exploited due to a weak grid. A solution is to produce hydrogen and export it.

Kongsberg Digital is leading the way towards the digitalized energy system of the future with its KogniGrid project.

To contribute to the improvement of disabled people’s living conditions and inclusion in the development process in Uganda. This is done through collection and application of data on living conditions among persons with disabilities in Uganda .