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From the SEA to the SOLution. An integrative assessment of marine pollution in a changing Arctic

Marine chemical pollution poses known threats to human health and to biodiversity, ecosystem and societal services. The Arctic is a major sink of global mercury (Hg) pollution. Arctic sediments, sea and glacial ice constitute vast Hg reservoirs. Recent studies raise concerns about their increasing role as local Hg sources. In a rapidly warming Arctic, the consequences of potentially increased environmental Hg on marine biota remain unknown. The objective of SEASOL is to identify the pathway(s) of Hg bioaccumulation in marine food webs of the High Arctic Kongsfjorden (Svalbard). This changing glacial fjord is recognised as a ‘natural laboratory’ of climate change in the Arctic. The fellow’s earlier research has shown the sole measurement of Hg levels as insufficient to connect biotic Hg dynamics to environmental change, whereas the analysis of Hg stable isotopes proved to be a promising tool for source discrimination and biotic transfer. SEASOL will build on the novel application of stable isotope analysis to identify the sources of Hg within the fjord system and the pathways to Hg accumulation within sentinel marine species. On the short-term, the study will provide fundamental knowledge to help understand how emerging sources of Hg from rapid environmental change will impact Arctic marine predators. On the long-term, SEASOL will contribute to the development of early-warning, adaptive management strategies, including modelling, for mitigating the cumulative impact of pollutants and climate change on Arctic marine species. This multidisciplinary approach and the central position of the host institution (Norwegian Polar Institute) in the field of Polar Research will equip the Fellow with a broad set of new skills and lay the foundation for building her specific niche as a future leader in marine pollution science.

Optimization of Free Space Optical Communication Link based Drones for Search and Rescue Operations in the Arctic Region

The Arctic region is witnessing more frequent shipping accidents than ever which require accurate search and rescue operations. The existing communication systems use drones with radio frequency (RF) technology, which has limited bandwidth and cannot offer 4G/5G connectivity due to harsh weather constraints. It further limits the capacity of drones and affects the resolution of images and videos. The current research proposes to design free space optical communication (FSOC) link-based drones that can enhance connectivity between multiple drones and rescue ships as well as the capacity of drones to produce high resolution images and videos. The proposed FSOC-based drones can provide highspeed connectivity than the existing RF technology. The research will collect atmospheric turbulences data from the Arctic region and use it for designing the FSOC link. Furthermore, to enhance the capacity of FSOC-based drones, the research will design advanced multiplexing schemes (Mode Division Multiplexing and Orthogonal Code Division Multiple Access) and to ensure link stability, omnidirectional receiver will be designed. The research will further evaluate the performance of proposed FSOC link under the impact of various atmospheric turbulences. The expected outcomes of this research will lead to the optimisation of FSOC-based drones in expanding search areas and improving communication systems for SAR operations in the Arctic region.

AQUASERV – RESEARCH INFRASTRUCTURE SERVICES FOR SUSTAINABLE AQUACULTURE, FISHERIES AND THE BLUE ECONOMY

The overarching objectives of AQUASERV are to bring together, enhance, integrate and customise RI capacities (including facilities, instruments and expertise) and through the provision of transnational access (on-site or remote) and/or virtual access, to significantly further scientific advance and promote and facilitate the implementation of European Common Fisheries Policy, the Farm to Fork Strategy, the Sustainable Blue Economy and the European Green Deal. 

AQUASERV will achieve these objectives by offering scientists from academia and business remote and on-site transnational (TA) and virtual (VA) access to an advanced set of European research infrastructures and its nodes related to research and management of marine and freshwater biological resources, food and biotechnology. These include the European Marine Biological Resource Centre ERIC (EMBRC), the Analysis and Experimentation on Ecosystems ERIC, The Aquaculture for Excellence for Aquaculture in Fish (Aquaexcel), and the Infrastructure for Promoting Metrology in Food and Nutrition (METROFOOD), as well as the International Council for Exploration of the Sea, both a service provider and stakeholder. It also includes the Research Infrastructure for Science and Innovation Policy Studies (RISIS) to bring contributions from the social sciences and to bring results nearer to policy makers ensuring societal impact. 

To enhance, integrate and customise RI capacities, collaboration between partners and new pipelines to meet the objectives of the project will be developed during the first 3 years and will make available  to users.  To ensure these capacities will not be lost, a sustainability work package involving stakeholders will address the project legacy.  

To maximize impact, AQUASERV will build a communication network among the partnership and develop a dissemination and outreach programme. Furthermore, an advanced training programme will be developed to capture future users and will be updated during the p

Aqua Research Infrastructure Services for the health and protection of our unique, oceans, seas and freshwater ecosystems

AQUARIUS will provide a highly comprehensive suite of integrated research infrastructures appropriate to addressing significant challenges for the long-term sustainability of our unique oceans, seas and freshwater ecosystems. For the first time, diverse research infrastructures will be combined to facilitate the work of researchers and key stakeholders focused on challenges and opportunities for both marine and freshwater systems. An impressive range of 57 research infrastructure services will be made available to include research vessels, mobile marine observation platforms, aircraft,  drones, satellite, sensors, fixed freshwater and marine observatories and test sites, experimental facilities, and sophisticated data infrastructures. AQUARIUS will support the development phase of the EU Mission to Restore our Ocean and waters by 2030, the Sustainable Blue Economy Partnership, the European Green Deal, and international climate initiatives. It will also be an essential component in achieving the European Digital Twin of the Ocean and the UN Decade for Ocean Sciences. The needs of researchers will be met through a robust and transparent system of transnational access funding Calls, facilitated by centralised user-friendly access portal. The Call programme will be informed through stakeholder engagement and brokerage events. Projects to be selected for Access must convincingly integrate multiple infrastructures and contribute to the core policy objectives of Mission Ocean, that is, to protect and restore marine and freshwater ecosystems and biodiversity; to prevent and eliminate pollution of our oceans, seas and waters; and to ensure a sustainable, carbon-neutral and circular blue economy. A thematic and geographic focus will be the hallmark of the proposed transnational Calls, aligning with the Lighthouse Regions, that is, the Baltic and the North Sea Basins, Black Sea, Atlantic/Arctic, and Mediterranean Sea along with their associated rivers.

Advance Marine Research Infrastructures Together

The European Ocean Observing System (EOOS) is the foundation of European ocean knowledge. The core Marine Research Infrastructures (MRIs) focused on ocean observing (EMSO, EURO-ARGO and ICOS ERICs; EuroFleets+, EuroGoShip, GROOM RI, JERICO RI and MINKE as INFRA projects) are the main providers of in situ ocean data for the EOOS and Copernicus, and the primary managers of instrumental capacity supporting fundamental research.
These MRIs are aware that the lack of effective cross coordination prevents them from fully supporting frontier research, while the lack of integration makes it difficult to reach a critical mass for EOOS and results in significant cost duplication. Accordingly, AMRIT gathers these MRIs together with OceanOPS/WMO international coordination experience with the objective to:
- ensure seamless operation of marine observation platforms ;
- ensure the full nominal use of sensors and accelerate their evolution ;
- exploit the complementarity of the various observation platforms ;
- ensure the overall coherence of the ocean data value chain.
To achieve these objectives, AMRIT will design and implement an EOOS Technical Support Center (EOOS TSC) for
- a fully integrated information service across the data value chain from early planning stages to final delivery to users;
- a cross-platform fully standardised data acquisition methodology for Essential Ocean Variables;
- a collaborative federal structure to operate these services, relying on the ERIs and their members.
The EOOS TSC will be the cornerstone in establishing and maintaining the EOOS, upon which European ocean observing can be strengthened in the coming decades. AMRIT will provide a catalyst for the development and consolidation of MRIs throughout Europe, providing a benchmark for operational coordination and collaboration. AMRIT will advance EOOS in line with its 2023-2027 Strategy and beyond, and the European Commission's ambitions for sharing responsibility in ocean observing across Europe.

Improve offshore infrastructure resilience against geohazards towards a changing climate

POSEIDON brings together an interdisciplinary and intersectoral team to deliver a professionally trained next-generation network of Doctoral Candidates to develop a step change in our capacity to identify, map, assess and predict offshore geohazards and in turn produce ground-breaking methods to prevent, mitigate and boost the resilience of current offshore infrastructure under a changing climate. The consortium is formed by experts across EU countries with universities, research institutions, industry partners and a government body to cover a full training programme on scientific and transferable skills. 

The programme will undertake critical research across scales (from micro to macro) for seeking the inner links and differences, with an eventual aim to ascertain the pathways and grow our capacity for the enhancement of the existing and the robust development of new offshore infrastructure in the frame of safety and resiliency. In addition to the informed design and implementation of the novel physical/numerical modelling and lab studies, our approach is unique in the solid integration and utilisation of state-of-the-art data science technologies (e.g., data mining, machine learning, etc.) to their full potential. Only through this systematic approach, we can achieve the objectives of understanding the impact of offshore geohazards on our offshore critical infrastructures (OCIs) and developing novel models, tools and designs for future OCIs, such as, wind turbines, pipelines and cables. 

The Doctoral Candidates will enjoy a highly integrated, interdisciplinary and intersector training environment, enriched through secondments with the network of non-academics. POSEIDON enables critical learning across all training aspects to ensure that comprehensive, robust and implementable solutions are obtained and validated to face the OCIs climate-resilient building.

POLARIN: POLAR RESEARCH INFRASTRUCTURE NETWORK

The polar regions play a key role in the Earth’s system. They are essential for our climate and are sentinels of climate change, human expansion, and the hunt of new resources. The polar regions are losing ice, and their oceans and land are changing rapidly. The consequences of this polar transition extend to the whole planet and are affecting people in multiple ways. Evidence-based policy recommendations are needed, but the polar regions are difficult to reach, and research infrastructures able to operate in these regions are scarce. To understand and predict key processes in the polar regions and provide evidence-based information, the polar research community needs access to world-class research infrastructure operating in these regions.
POLARIN is an international network of polar research infrastructures and their services, aiming at addressing the scientific challenges of the polar regions. The network includes a wide array of complementary and interdisciplinary top level research infrastructures: Arctic and Antarctic research stations, research vessels and icebreakers operating at both poles, observatories, data infrastructures and ice and sediment core repositories. POLARIN will provide integrated, challenge-driven, and combined access to these infrastructures to facilitate interdisciplinary research on complex processes. 
POLARIN will:
1.	Provide challenge-driven transnational access to a large portfolio of research infrastructures. 
2.	Improve the access to data by improving data availability and interoperability between data infrastructures. 
3.	Provide virtual access to data and data services. 
4.	Provide data products for the scientific community and decision makers.
5.	Train the young generation of polar researchers in optimally exploiting the infrastructures for their research.
6.	Duly advertise the services offered by POLARIN and engage the infrastructure users to share their research outcomes with society.


Land-Sea interface: Let’s observe together!

LandSeaLot will link together in situ, model and earth observations (EO) and connect related communities, citizens and initiatives such as Copernicus, ESA, EEA, GEOSS, EMODnet and the European Digital Twin of the Ocean. These observations will be used in a gap analysis to co-design a common land-sea interface observation strategy and an implementation plan. LandSeaLot participants will simultaneously work on improving: in situ and EO capabilities, models to reduce the model/observations gap and the integration of model, in situ and satellite data. Observation capacity will be increased through tested, improved and guided use of low-cost technology by citizens, facilitated by the network of European marinas. The technologies selected will be piloted in Integration Labs (ILs) together with improved and integrated in situ and EO observation techniques and model outputs. LandSeaLot ILs will cover selected areas in the Black, Aegean, Mediterranean, Atlantic, North and Baltic Seas, with a range of catchment, tidal and meteorological regimes. Experts and citizen science leaders will work in the ILs together with JERICO-RI, DANUBIUS-RI and ICOS-ERIC, and with regional policy makers and managers to tailor integrated observations that will provide them with information to manage societal challenges. These will include assessment of the lateral carbon flux and stock, plastics transfer, nutrients impact on primary production and eutrophication, supporting biodiversity conservation, improving modeling capability and supporting climate change adaptation (storm surge, floods, heat waves, coastal erosion, saltwater intrusion). Data generated in the ILs will be made FAIR available via EMODnet and interoperability, and semantic solutions for existing, international data flows will be developed. Relevant communities will be engaged by workshops, conferences, training, a high-tech summit and by a communication strategy including videos and policy briefs to ensure LandSeaLot’s legacy.

Material Science Innovation for Accelerated, Sustainable and Safe Implementation of Carbon Capture and Storage

MISSION-CCS presents a timely and unique doctoral network designed to deliver the next generation of highly trained researchers and entrepreneurs in the field of material science, specifically focused towards accelerating implementation of carbon capture and storage CCS technologies worldwide and ensuring the sustainable and safe operation of existing and future CCS systems.

The training network combines unique experimental system design and modelling approaches, state-of-the-art analytical technologies and techno-economic analysis to deliver a new generation of researchers and entrepreneurs. The programme of research training centres of delivering Doctoral Candidate Researchers (DCRs) with world-leading technical expertise in material science and engineering relevant to the entire CCS process. MISSION-CCS ensures that the subject-specific technical knowledge of each DCRs is under-pinned by inter-sectorial knowledge whilst also promoting wider innovation skills and relevant training on the techno-economics of CCS, developing experts with breadth of knowledge.

A central aim of the network is to forge a strong cohort culture, by ensuring that peer-to-peer learning and mutual support become the norm, in order to enhance experience. Research-led training activities are strengthened through a dynamic and interactive education based programme delivered by an internationally renowned consortium of academics and industrialists with complementary skills. As part of the training programme, subsequent to an introduction to CCS systems and the specific material science challenges, DCRs will gain knowledge of system design and optimisation, state-of-the-art analytical methods, theoretical modelling, techno-economics, and understand the challenges of exploiting their research. They will also acquire proficiency in project management, communication, entrepreneurship, and innovation; all essential attributes for any modern technical professional.

Optimisation of digital catch monitoring and reporting in European Fisheries

 OptiFish will strive to provide technological solutions that will simultaneously improve the sustainability of fisher’s operations, enhance control processes and strengthen society’s trust in their products.
OptiFish will develop, test and recommend a set of innovative technologies and tools supported by artificial intelligence (AI) to provide the management, the fishing sector and the scientist with data on catch volumes, catch compositions and the fishing environment. 
The goal is to unlock the full potential of technologies such as electronic and genetic monitoring for automated species recognition based on AI and computer vision to reduce discards, unreported landings and unreported fishing activities, ultimately establishing  a fisheries control and enforcement system fit for the digital age. The technologies are not enough alone, it is also critical to consider the combination of technologies and the integration of computer vision models, the wide range of data sources and their subsequent formats, while also addressing stakeholders needs and acceptance. 
This goal cannot be achieved by a single project, which is why the aim of OptiFish is to lay a solid foundation for full technological development from which other projects and initiatives can be built. The project will place a strong focus on species recognition in different fisheries equipped with distinctly different catch handling facilities and in different European sea basins. 
To ensure that these innovations are relevant to fisheries management, OptiFish has participation from the Norwegian Directorate of Fisheries, and has received written support from the European Fisheries Control Agency (EFCA), the Basque, Danish and Belgian Fisheries authorities.



Den norske NMR platform 2

Midlene fra FORINFRA-Nasj.sats. forskn.infrastrukt fordelt på år

Midlene fra FORINFRA-Nasj.sats. forskn.infrastrukt fordelt på fylker

Midlene fra FORINFRA-Nasj.sats. forskn.infrastrukt fordelt på fagområde

Professor

Den norske NMR platform 2 (NNP-2) forskningsinfrastrukturen fokuserer på anvendelser av very-high field (600-850 MHz) NMR-spektroskopi. Dette er en svært allsidig teknologi med stor betydning for forskning og innovasjon innenfor tre av Norges forskningsråds (NFR) områdestrategier: Bioteknologi, Medisin og helse, og Nanoteknologi og materialvitenskap.
NMR er av avgjørende betydning i bioteknologi gjennom sin unike rolle i å bestemme proteinstrukturelle ensembler og hvordan disse fungerer med andre molekylære og cellulære strukturer under fysiologiske forhold. Et stort antall nye forbindelser, inkludert naturlige produkter som stammer fra bioprospektering og genteknologi med farmasøytiske og antibiotikaeffekter, er avhengige av å bruke NNP-2-instrumenteringen for vellykket karakterisering.
Metabolomikk har blitt et uunnværlig verktøy i medisinsk forskning med potensial for nye gjennombrudd innen klinisk medisin. High Throughput MR-metabolomikk tjenestene som vil bli levert av NNP-2 vil muliggjøre fremskritt innen oppdagelse av biomarkører som kan forbedre screening, diagnose og monitorering av behandlingseffekt av humane sykdommer.
Faststoff-NMR vil innen området nanoteknologi og materialvitenskap gi ny forståelse av materialegenskaper som muliggjør innovasjon av faste materialer på mange områder; eksempler er energilagring, miljøspørsmål, prosessindustri, CO2-fangst, solcelleutvikling og biologisk nedbrytbar plast.
NNP-2-konsortiet består av 5 likeverdige partnerinstitusjoner: NTNU, Universitetet i Bergen, Universitetet i Oslo, Universitetet i Tromsø og SINTEF, med 6 noder (to ved NTNU). Nodene vil tilby brukertilgang til toppmoderne teknologi og kompetanse på internasjonalt nivå på alle områdene beskrevet ovenfor. Alle seks nodene har mange års erfaring med å drive denne typen infrastruktur, og de har vist evne til å levere høykvalitets teknologiapplikasjoner og gode brukertjenester.

Nuclear Magnetic Resonance (NMR) is a highly versatile enabling technology within natural science and of major importance for research and innovation in three of the RCN strategic areas: Biotechnology, Medicine and health, and Nanotechnology and material sciences.
The NMR technology is in rapid development and NNP-2 will offer upgrade to state-of-the-art instrumentation, methods and competence and provide new NMR-based technologies enabling new research tools that are requested by several strong research groups. 
The NNP-2 infrastructure is in high demand from Norwegian and foreign researchers at universities, research institutes, university hospitals and companies. This is documented by the 80 Letters of Support attached to the application. Interest from industry is shown by 10 LoS and the potential for international collaboration by 24 LoS from foreign universities.
The NNP-2 consortium consists of 5 equal partner institutions: NTNU, University of Bergen, University of Oslo, University of Tromsø and SINTEF, hosting 6 nodes (two at NTNU).
The?nodes are?to a large extent?complementary concerning ?special?competence, experience, and type of projects. The six nodes covers the best NMR labs and expertise in Norway and will offer user access to state-of-the-art technology, high international level competence, and other user services (training, data management etc.). All six nodes have many years of experience in running this type of infrastructure, including access for external users, and they have shown the ability to deliver high-quality technology applications and good user services.
Dissemination of generated knowledge is an important task and the NNP-2 policy is that scientific results should be published as scientific papers in international?Open Access?journals with?peer-review. NNP-2 will also help the users manage their data according to the FAIR principles, and has a Work Package dedicated to data management in collaboration with ELIXIR and BioMedData.

The Norwegian NMR (Nuclear Magnetic Resonance) Platform 2

SAM-prosjektet er et innovativt og nytt digitaliseringssystem for selv-oppdaterende modeller, med mål om å forbedre konkurranseevnen til norske prosessindustrier. Prosjektet setter søkelys på å forbedre prosessovervåking, prosessforståelse, prosesskontroll og autonome modeller. De forventede merverdiene fra prosjektets innovasjoner anses som betydelige.
Prosjektansvarlig Bilfinger, har brukt sitt BCAP-produkt til dataanalyse av historiske data for å identifisere nøkkelparametere for forbedring i en produksjonsprosess. Ved å legge til nye moduler til BCAP, har Bilfinger som mål å bli en foretrukket leverandør av digitale plattformer, noe som vil føre til betydelig vekst i omsetning og fortjeneste.
Boliden Odda, en annen industripartner, har som mål å optimere sink- og sulfatinnholdet i renset løsning før elektrolyse. De har evaluert og satt i drift en ny instrumenteringsløsning for tetthetsmåling, noe som resulterer i økt nøyaktighet og stabilitet i beregningen av sinkinnholdet. De utforsker også andre tetthetsmålingsteknikker for å få innsikt i ulike deler av prosessen.
Eramet og Elkem samarbeider i SAM-prosjektet og installerer sensorer som termokameraer, vektsystemer og nivåmålingssystemer i den utfordrende tappesonen. Disse sensorene har som mål å redusere behovet for menneskelig tilstedeværelse, forbedre datainnsamlingen og erstatte visuelle observasjoner og manuelle målinger.
Equinor har fokusert på testing og analyse av vibrasjonssensorer for rørledninger i SAM-prosjektet. De analyserer også feltdata fra akustiske sanddetektorer. Videre forskning er nødvendig for å utvikle modeller som kan predikere strømningshastighet og sammensetning nøyaktig for hver produsert fase (olje, gass og vann) basert på signalene.
Hydro har jobbet med å forbedre varmebalansemålingen i elektrolyseceller for aluminiumproduksjon. De har evaluert ulike metoder for å måle varmeflukt nøyaktig og velger ut de mest lovende for videre utvikling. Utviklet sensor vil bli forsøkt kommersialisert vha 3. part etter at patentsøknaden er godkjent.
REC Solar har brukt resultatene fra SAM-prosjektet for å forbedre stivningsprosessen i ordinær produksjon. De har oppnådd tilfredsstillende nivåer av nitrogen og karbon og fokuserer nå på å utvikle en datamodell som kobler ekstern temperatur, vekt og kraftsignaler til bildeanalyse av smeltehelling. De bygger en database med nøkkelparametere basert på tidsseriedata fra prosessen.
Yara har utført kontinuerlige støvmålinger i en omfattende studie av NPK-produksjonen i Porsgrunn med mål om å optimere driften, samt å bedre kartlegge variasjoner i støvutslipp til miljø. Flere produksjonskampanjer for relevante fokusprodukter er fulgt opp. I et annet studium, i samarbeid med Rheality Ltd, er et piezoelektrisk element installert i en prosesslinje. Én prøvekampanje er gjennomført, og det utvikles en AI-modell for å måle viskositeten til prosessmediet basert på denne sensoren.
Samlet sett bidrar SAM-prosjektet til økt konkurranseevne og verdiskapning hos prosjektdeltagerne. Den utviklede teknologi og kompetanse vil også komme øvrig norsk prosessindustri til gode i fremtidige prosjekter.

The primary objective is to demonstrate that, by adapting digitalization methodologies to process industries, significant optimization of the processes and reduction of their environmental impacts can be achieved. The innovations include optimization and control of industrial production processes using big data analytics, new online sensors and data-based models. In close cooperation with the project partners the innovation will lead to the development of an algorithm for self-adapting model, which the partners can potentially integrate into their existing data systems at the end of the projects.  
The research will involve combining existing process data with new data gathered from a grid of sensors assembled in an innovative manner. These new process data and the data-driven models will be used to define the optimum set points for the processes. The R&D challenges are many-fold, where the most critically are: i) harsh environment makes on-line measurement non-operational in practice, ii) identifying the most causal process variables from correlated data, iii) the majority of available data have poor quality – resulting in poor predictive models, iv) unexpected changes in critical process variables not integrated in the data-based models (e.g. future change in raw material quality) which reduce the autonomy potential of the SAM module. 
By involving several process industries, this project will give researchers the opportunity to develop generic algorithms suitable for a broad range of processes.

0 antall prosjekter

BIA-Brukerstyrt innovasjonsarena

SAM – Self Adapting Model-based system for Process Autonomy

Tildelt: kr 16,0 mill.

Prosjektperiode: 2019-2023

Sted: Telemark