EU projects at SINTEF

In the project, research institutes cooperate with companies to make advanced walls and windows with new or improved properties and a small environmental footprint.

FRIENDSHIP plans to bring together research institutions, industrial designers, technologies & heat suppliers into the same consortium in order to unite skills towards the boost and control of the heat supply temperature according to processes needs.

The production of photovoltaic modules generates significant resource flows, much of which currently becomes waste, including silicon kerf, graphite, and silica from ingot production.

IMPACT (Innovative Methods for Wave Energy Pathways Acceleration through Novel Criteria and Test Rigs) was a European project for the development and demonstration of a next-generation testing approach for Wave Energy Converters (WECs).

Reducing waste in the seafood value chain. SuMaFood intends to reduce food waste and increase the productive use of marine biomass by devising innovative methods of processing and preservation, and developing ingredients that will serve as the basis...

The WINNER project aims to develop an efficient and durable technology platform based on electrochemical proton conducting ceramic (PCC) cells designed for unlocking a path towards commercially viable production, extraction, purification and...

In-No-Plastic’s goal is to develop and demonstrate nano-, micro, and macro-plastic clean-up technologies in the aquatic ecosystems.

ENGAGE seeks to strengthen the cooperation between the population, emergency organizations and authorities to prevent, prepare for, respond to and recover from disasters.

Hydra will hybridize high-power and high-energy electrode materials to create sustainable Li-ion battery cells with excellent energy density.

The EU-funded CyberKit4SME project aims to enhance small businesses autonomy in dealing with cyber security thanks to a sophisticated though affordable toolkit. The project will help small businesses be more aware of their risks and enable them to...

REALISE will develop carbon capture, utilization and storage (CCUS) strategies for oil refineries-centered industrial clusters and demonstrate in a pilot scale an absorption technology based on novel solvent for cost-efficient and environmentally...

The main objective of PlastiSea is to develop novel bioplastic materials based on cultivated and wild species of brown algae.

The project aims at better understanding of charge, mass and heat transports in new generation PEM fuel cells MEA for automotive applications.

the objective of the CHANNEL EU project is to develop a low cost and efficient electrolyser stack and balance of plant (BoP) that will become a game-changer for the electrolyser industry.

The main aim of the VIRTUAL-FCS project is to make the design process of hybrid fuel cell and battery systems easier, cheaper and quicker.

Cyber security is a key enable for safe Air Traffic Management. SINTEF is part of a team of experts, dedicated to helping European ATM projects to integrate security in their research and development activities.

DIY4U focuses on digitalizing and transforming European industries and services involved in the formulation, production and supply of particulate and liquid based Fast-Moving Consumer Goods (FMCG), enhancing the innovation capacity and...

The FarmConners project supports the implementation and industrialisation of Wind Farm Control (WFC) as an additional feature for the development and operation of wind power plants. It brings together actors in all relevant fields connected with the...

The Watereye project will design an advanced monitoring system that will make it possible to remotely detect corrosion levels

Advanced methodology and tools taking advantage of storage and FLEXibility in transmission and distribution grid PLANning.

COGNITWIN will set a new standard for the design, development and operation of the European process industry by introducing a platform for virtual component-based architecture that integrates IoT, Big data, AI, smart sensors, machine learning and...