Oslo, Norway
Oslo, Norway

DNV GL is an international classification society, with main locations in Norway and Germany. DNV GL is the result of the 2013 merger between DNV and Germanischer Lloyd. Wikipedia.

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Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: MG-4.3-2015 | Award Amount: 11.43M | Year: 2016

Most maritime products are typically associated with large investments and are seldom built in large series. Where other modes of transport benefit from the economy of series production, this is not the case for maritime products which are typically designed to refined customer requirements increasingly determined by the need for high efficiency, flexibility and low environmental impact at a competitive price. Product design is thus subject to global trade-offs among traditional constraints (customer needs, technical requirements, cost) and new requirements (life-cycle, environmental impact, rules). One of the most important design objectives is to minimise total cost over the economic life cycle of the product, taking into account maintenance, refitting, renewal, manning, recycling, environmental footprint, etc. The trade-off among all these requirements must be assessed and evaluated in the first steps of the design process on the basis of customer / owner specifications. Advanced product design needs to adapt to profound, sometimes contradicting requirements and assure a flexible and optimised performance over the entire life-cycle for varying operational conditions. This calls for greatly improved design tools including multi-objective optimisation and finally virtual testing of the overall design and its components. HOLISHIP (HOLIstic optimisation of SHIP design and operation for life-cycle) addresses these urgent industry needs by the development of innovative design methodologies, integrating design requirements (technical constraints, performance indicators, life-cycle cost, environmental impact) at an early design stage and for the entire life-cycle in an integrated design environment. Design integration will be implemented in practice by the development of integrated design s/w platforms and demonstrated by digital mock-ups and industry led application studies on the design and performance of ships, marine equipment and maritime assets in general.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: BG-09-2016 | Award Amount: 15.49M | Year: 2016

The overall objective of INTAROS is to develop an integrated Arctic Observation System (iAOS) by extending, improving and unifying existing systems in the different regions of the Arctic. INTAROS will have a strong multidisciplinary focus, with tools for integration of data from atmosphere, ocean, cryosphere and terrestrial sciences, provided by institutions in Europe, North America and Asia. Satellite earth observation data plays an increasingly important role in such observing systems, because the amount of EO data for observing the global climate and environment grows year by year. In situ observing systems are much more limited due to logistical constraints and cost limitations. The sparseness of in situ data is therefore the largest gap in the overall observing system. INTAROS will assess strengths and weaknesses of existing observing systems and contribute with innovative solutions to fill some of the critical gaps in the in situ observing network. INTAROS will develop a platform, iAOS, to search for and access data from distributed databases. The evolution into a sustainable Arctic observing system requires coordination, mobilization and cooperation between the existing European and international infrastructures (in-situ and remote including space-based), the modeling communities and relevant stakeholder groups. INTAROS will include development of community-based observing systems, where local knowledge is merged with scientific data. An integrated Arctic Observation System will enable better-informed decisions and better-documented processes within key sectors (e.g. local communities, shipping, tourism, fisheries), in order to strengthen the societal and economic role of the Arctic region and support the EU strategy for the Arctic and related maritime and environmental policies.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: BG-10-2016 | Award Amount: 8.10M | Year: 2016

Blue-Action will provide fundamental and empirically-grounded, executable science that quantifies and explains the role of a changing Arctic in increasing predictive capability of weather and climate of the Northern Hemisphere.To achieve this Blue-Action will take a transdisciplinary approach, bridging scientific understanding within Arctic climate, weather and risk management research, with key stakeholder knowledge of the impacts of climatic weather extremes and hazardous events; leading to the co-design of better services.This bridge will build on innovative statistical and dynamical approaches to predict weather and climate extremes. In dialogue with users, Blue-Arctic will take stock in existing knowledge about cross-sectoral impacts and vulnerabilities with respect to the occurrence of these events when associated to weather and climate predictions. Modeling and prediction capabilities will be enhanced by targeting firstly, lower latitude oceanic and atmospheric drivers of regional Arctic changes and secondly, Arctic impacts on Northern Hemisphere climate and weather extremes. Coordinated multi-model experiments will be key to test new higher resolution model configurations, innovative methods to reduce forecast error, and advanced methods to improve uptake of new Earth observations assets are planned. Blue-Action thereby demonstrates how such an uptake may assist in creating better optimized observation system for various modelling applications. The improved robust and reliable forecasting can help meteorological and climate services to better deliver tailored predictions and advice, including sub-seasonal to seasonal time scales, will take Arctic climate prediction beyond seasons and to teleconnections over the Northern Hemisphere. Blue-Action will through its concerted efforts therefore contribute to the improvement of climate models to represent Arctic warming realistically and address its impact on regional and global atmospheric and oceanic circulation.


Grant
Agency: European Commission | Branch: FP7 | Program: CSA | Phase: ICT-2013.4.2 | Award Amount: 2.78M | Year: 2014

The Big data roadmap and cross-disciplinarY community for addressing socieTal Externalities (BYTE) projectwill assist European science and industry in capturing the positive externalities and diminishing the negativeexternalities associated with big data in order to gain a greater share of the big data market by 2020.BYTE will accomplish this by leveraging the BYTE advisory board and additional network contacts to conduct aseries of big data case studies in actual big data practices across a range of disciplinary and industrial sectors togain an understanding of the economic, legal, social, ethical and political externalities that are in evidence.BYTE will supplement these case studies with a horizontal analysis that identifies how positive externalities canbe amplified and negative externalities can be diminished.BYTE moves beyond current practices to consider how big data will develop to the year 2020 using foresighttools to identify future practices, applications and positive and negative externalities. This will allow BYTE todevelop, in collaboration with expert stakeholders, a vision for big data in 2020 that includes meeting therelevant goals of the Digital Agenda for Europe. In collaboration with expert stakeholders, the consortium willthen devise a research and policy roadmap, that will provide incremental steps necessary to achieve the BYTEvision and guidelines to assist industry and scientists to address externalities in order to improve innovation andcompetitiveness.BYTE will culminate in the launch of the big data community, a sustainable, cross-disciplinary platform that willimplement the roadmap and assist stakeholders in identifying and meeting big data challenges. Furthermore,BYTE will disseminate project findings and recommendations and publicise the big data community to a largepopulation of stakeholders to encourage further innovation and economic competitiveness in Europesengagement with big data.


Grant
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: EE-19-2014 | Award Amount: 1.91M | Year: 2015

The importance of increasing investor confidence in energy efficiency as an asset class was stressed in a recent EU chartered Energy Efficiency Financial Institutions Group report which also highlighted the US based Investor Confidence Project as a relevant model and recommended an EU Investor Confidence Project. This project will deliver that Investor Confidence Project (ICP) to the EU. Several studies document the potential energy savings for efficiency investments as well as the scale of the investment needed. BPIE estimated EUR937bn investment would be necessary in their Deep Scenario to achieve 78% energy savings and 90% CO2 savings. Despite evidence of the potential attractiveness of investments, the flow of finance into energy efficiency remains much lower than required. Analysis reveals several barriers that hold private capital back but especially a lack of standardised processes and documentation, analogous to those used in the oil & gas and renewables industries. All financial markets are enabled by buyers and sellers agreeing standards. Scaling up investment in efficiency will require standardisation and greatly increased capacity in the financing market ICP Europe addresses these issues. The project will work with key stakeholders to develop open source Protocols and apply them to real projects. The project has measurable KPIs but the real aim is to get commitment from investors that they will specify the use of the Protocols by project developers seeking finance making them standards. The advantages of standardization, the adoption of the ICP in the US, and the high level of interest from EU investors that this pan-European multi-disciplinary consortium has already demonstrated lead us to believe that this is realisable objective within the 36 month project. A few key early financial adopters in each market will lead to wider adoption. We have already identified and engaged with a significant number of potential early adopters.


Grant
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ENERGY.2013.5.1.2 | Award Amount: 7.73M | Year: 2014

This proposal aims to develop high-potential novel and environmentally benign technologies and processes for post-combustion CO2 capture leading to real breakthroughs. The proposal includes all main separation technologies for post-combustion CO2 capture; absorption, adsorption and membranes. Enzyme based systems, bio-mimicking systems and other novel forms of CO2 binding will be explored. For each technology we will focus on chosen set of promising concepts (four for absorption, two for adsorption and two for membranes). We aim to achieve 25% reduction in efficiency penalty compared to a demonstrated state-of-the-art capture process in the EU project CESAR and deliver proof-of-concepts for each technology. The various technologies and associated process concepts will be assessed using a novel methodology for comparing new and emerging technologies, for which limited data are available and the maturity level varies substantially. Based on the relative performance using various performance indicators, a selection of two breakthrough technologies will be made. Those two technologies will be further studied in order to do a more thorough benchmarking against demonstrated state-of-the-art technologies. A technological roadmap, based on a thorough gap analysis, for industrial demonstration of the two technologies will finally be established. HiPerCap involves 15 partners, from both the public and private sectors (research, academia, and industry), from 6 different EU Member States and Associated States, and three International Cooperation Partner Countries (Russia, Canada, and Australia). The HiPerCap consortium includes all essential stakeholders in the technology supply chain for CCS: power companies, RTD providers, suppliers, manufacturers (of power plants, industrial systems, equipment, and materials), and engineering companies.


Grant
Agency: European Commission | Branch: FP7 | Program: CP | Phase: SST.2013.1-2. | Award Amount: 14.14M | Year: 2013

Reducing emissions from shipping has increasingly become a challenge over the last years, both as a counter measure against global climate change and to protect local environments and population from waste, gas emissions and noise. This challenge has been documented both in policy papers, like the Europe 2020 initiative or the Transport White Paper, and in rules and regulations issued by IMO as well as by local authorities. Those legislations as well as emission taxes and an increasing public awareness on green shipping have led to the fact, that low emission ships and shipping has become a key competitive factor both for European shipbuilders (including equipment manufacturers and shipyards) and shipping companies. In response to topic SST.2013.1-2 of the Sustainable Transport Work Programme 2013 the JOULES proposal aims to significantly reduce the gas emissions of European built ships, including CO2, SOx, NOx and particulate matters. JOULES follows an integrated and holistic approach, not only limited to integrating the components of the simulation of the energy grid, but through the consideration of other viable options for emission reduction. The specific optimal solutions for emission reduction and energy efficiency highly depend on the transport or service task of ships, as well as on their operational profile. While a wide overview and holistic assessment of all available energy and emission saving technologies is necessary, industrial breakthrough can only be achieved if the available solutions are selected, adopted, integrated, assessed and finally demonstrated for realistic application cases. The binding element between technologies and applications are modelling and assessment methods and tools. Those are needed to predict the behaviour of complex energy grids, to manage the energy demand in operation and to assess the performance of optimized energy grids both in view of cost efficiency and environmental impact.


Grant
Agency: GTR | Branch: EPSRC | Program: | Phase: Fellowship | Award Amount: 721.30K | Year: 2016

My proposed Fellowship will revolutionise the use of High Performance Computing (HPC) within The University of Sheffield by changing perceptions of how people utilise software and are trained and supported in writing code which scales to increasingly large computer systems. I will provide leadership by demonstrating the effectiveness of specific research software engineer roles, and by growing a team of research software engineer at The University of Sheffield in order to accommodate our expanding programme of research computing. I will achieve this by: 1) developing the FLAME and FLAME GPU software to facilitate and demonstrate the impact of Graphics Processing Unit (GPU) computing on the areas of complex systems simulation; 2) vastly extending the remit of GPUComputing@Sheffield to provide advanced training and research consultancy, and to embed specific software engineering skills for high-performance data parallel computing (with GPUs and Xeon Phis) across EPSRC-remit research areas at The University of Sheffield. My first activity will enable long-term support of the extensive use of FLAME and FLAME GPU for EPSRC, industry and EU-funded research projects. The computational science and engineering projects supported will include those as diverse as computational economics, bioinformatics and transport simulation. Additionally, my software will provide a platform for more fundamental computer science research into complexity science, graphics and visualisation, programming languages and compilers, and software engineering. My second activity will champion GPU computing within The University of Sheffield (and beyond to its collaborators and industrial partners). It will demonstrate how a specific area of research software engineering can be embedded into The University of Sheffield, and act as a model for further improvement in areas such as research software and data storage. I will change the way people develop and use research software by providing training to students and researchers who can then embed GPU software engineering skills across research domains. I will also aid researchers who work on computationally demanding research by providing software engineering consultancy in areas that can benefit from GPU acceleration, such as, mobile GPU computing for robotics, deep neural network simulation for machine learning (including speech, hearing and Natural language processing) and real time signal processing. The impact of my Fellowship will vastly expand the scale and quality of research computing at The University of Sheffield, embed skills within students and researchers (with long-term and wide-reaching results) and ensure energy-efficient use of HPC. This will promote the understanding and wider use of GPU computing within research, as well as transitioning researchers to larger regional and national HPC facilities. Ultimately my research software engineer fellowship will facilitate the delivery of excellent science whilst promoting the unique and important role of the Research Software Engineer.


Grant
Agency: European Commission | Branch: H2020 | Program: ECSEL-RIA | Phase: ECSEL-08-2015 | Award Amount: 11.60M | Year: 2016

SafeCOP (Safe Cooperating Cyber-Physical Systems using Wireless Communication) will establish a safety assurance approach, a platform architecture, and tools for cost-efficient and practical certification of cooperating cyber-physical systems (CO-CPS). SafeCOP targets safety-related CO-CPS characterized by use of wireless communication, multiple stakeholders, dynamic system definitions, and unpredictable operating environments. In this scenario, no single stakeholder has the overall responsibility over the resulted system-of-systems; safe cooperation relies on the wireless communication; and security and privacy are important concerns. Although such CO-CPS can successfully address several societal challenges, and can lead to new applications and new markets, their certification and development is not adequately addressed by existing practices. SafeCOP will provide an approach to the safety assurance of CO-CPS, enabling thus their certification and development. The project will define a platform architecture and will develop methods and tools, which will be used to produce safety assurance evidence needed to certify cooperative functions. SafeCOP will extend current wireless technologies to ensure safe and secure cooperation. SafeCOP will also contribute to new standards and regulations, by providing certification authorities and standardization committees with the scientifically validated solutions needed to craft effective standards extended to also address cooperation and system-of-systems issues. SafeCOP brings clear benefits in terms of cross-domain certification practice and implementations of cooperating systems in all addressed areas: automotive, maritime, healthcare and robotics. The advantages include lower certification costs, increased trustworthiness of wireless communication, better management of increasing complexity, reduced effort for verification and validation, lower total system costs, shorter time to market and increased market share.


Grant
Agency: European Commission | Branch: FP7 | Program: BSG-SME | Phase: SME-2013-1 | Award Amount: 1.98M | Year: 2014

Offshore activities including maritime transport faces the inherent risk of loss of humans at sea. This activity proposes to develop a multi-sensor network solution that has several means to detect, characterise, classify and track humans going overboard in an all environmental conditions. The solution will adapt several sensor technologies that all have the ability to support the solution under various environmental conditions. If used jointly and in-combination the total capability will prove reliable with a very low false-alarm rate. The project will develop the prototype solution and demonstrate the viability thereof jointly with leading end-users in the maritime industries. The three leading SMEs will receive the industrial designs (including all IPR) of the total system and the end-users will have rights to use the system developed during the project. Three industrial RTD-performers are selected to perform the majority of the cost-reduction and industrialization work.

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