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Narec Capital Limited

Narec Capital Limited

48 Projects, page 1 of 10
  • Funder: UK Research and Innovation Project Code: EP/W009684/1
    Funder Contribution: 384,521 GBP

    Offshore wind energy is becoming a major electricity provider with future expansion in deep water. Floating platforms can access water depths typically greater than 30 m, but have the disadvantage of platform motions due to combined waves and time varying thrust from turbine motion. Platform stabilisation is critically important for improving performance, reducing downtime and enabling safe access. Lost electrical output alone for a proposed 15 MW machine can be £20k per day at today's prices. Moreover, misalignment of the turbine axis with wind direction due to yaw and pitch causes power loss and undesirable blade stresses. In addition to pitch and surge in the wave direction, roll and yaw cross wave may occur due to multi-directional wave fields. Thus this project has two distinct aims both impacting on through life cost: Aim 1: to optimally minimise platform motion during power production by integrated (holistic) preview control of wave and wind effects on platform and turbines. A key reliability goal is to ensure acceleration at the nacelle due to pitch and surge is less than the recommended 0.2-0.3g, and to minimise damaging electrical surges and fatigue of structural components. Aim 2: to absolutely minimise platform motion for safe maintenance during personnel and material transfers by boat or helicopter and minimise debilitating motion effects on personnel during maintenance work. The illustrative case employed is the popular semi-sub floater concept which has comparatively shallow draft and simple deployment. Platform stabilisation will be achieved by combining: (i) pumped tank control between semi-sub columns to minimise pitch and roll as employed in ships, (ii) blade pitch control, already used in wind turbine control and (iii) yaw control for alignment with the wind direction. This multi-objective non-causal control problem requires future knowledge of both wave and wind forcing functions to achieve optimality.

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  • Funder: UK Research and Innovation Project Code: EP/X024806/1
    Funder Contribution: 1,163,520 GBP

    This prosperity partnership project, UNITE, brings Fugro Ltd, a major Tier 1 offshore service provider, together with a world-leading robotics research team from Heriot-Watt University and Imperial College London to address key open research challenges for safe and robust robotic solutions in the offshore renewable sector. It specifically focuses on the development and deployment of perception-enabled, risk-aware underwater intervention techniques, which are critical for the widespread adoption of robotics solutions in this rapidly expanding sector. The vision of the UNITE project is to develop a holistic solution to autonomous and semi-autonomous underwater intervention applied to the maintenance and repair of offshore wind farms, remotely monitored from shore and safely operated worldwide. UNITE's research vision and programme aim at reducing the use of crewed support vessels for operation, keeping offshore turbines more productive with less downtime and more timely and cost-effective maintenance and repair. This will also support the industry to cut costs and carbon footprint while dramatically improving health&safety. In a world where climate change is increasingly impacting our lives, we need to accelerate the energy transition towards net-zero. The UK has a huge potential for Offshore Wind Energy and the UK government has made this a priority, planning to reach 1TW by 2050. To reach such ambitious targets, you have to imagine 10's of thousands of offshore wind turbines, deployed in some of the harshest environments on earth and able to reliably produce energy for decades. At present, the cost of operation and maintenance of such wind farms is 30% of the overall cost and is performed using manned vessels deployed in extreme environments, hence reducing the operational window they can be deployed, increasing the carbon footprint of operations and risk to the personnel deployed offshore. This will simply not scale when more and more wind farms are built and the availability, environmental impact and cost of the current solutions will no longer make sense. What is required is to replace these large assets by smaller, more environmentally friendly and cost effective robotic solutions, controlled safely from shore by a new generation of pilots, engineers and operators. This is already a reality, at least in advanced demonstrator form, when we are only interested in inspection. Remote drones, surface vessels and underwater systems can be sent to inspect subsea cables, turbines and other subsea assets. In some cases, they can be permanently deployed for long periods of time. However, when more complex tasks requiring intervention (contact and manipulation) are required, the current technology is not ready, especially in cases where the communication link between the robot and shore is intermittent, slow or unreliable. If not solved, this will dramatically impact the adoption of robotics (as existing solutions will still need to be deployed), and potentially stop it in its track, in turn reducing the progress of offshore renewable energy as a viable clean energy source. New research is needed to endow the remote robotic platforms with the intervention capabilities they require, as well as ensuring that the platforms are safe even when not in direct control of a human. For this to happen, robots (and their sensors) must be able to build an accurate map of the world around them and use this map to navigate around obstacles and towards targets of interest. They need to be able to interact with the structures safely (controlling force of interaction) and grasp objects whilst being subject to potentially significant external disturbances (currents, waves, etc) and coordinate their respective actions (e.g surface vehicle deploying an underwater system). They also need to understand when they might fail and alert an operator on shore to ask for support. This is what the UNITE proposal will tackle.

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  • Funder: UK Research and Innovation Project Code: EP/S023801/1
    Funder Contribution: 6,732,970 GBP

    This proposal is for a new EPSRC Centre for Doctoral Training in Wind and Marine Energy Systems and Structures (CDT-WAMSS) which joins together two successful EPSRC CDTs, their industrial partners and strong track records of training more than 130 researchers to date in offshore renewable energy (ORE). The new CDT will create a comprehensive, world-leading centre covering all aspects of wind and marine renewable energy, both above and below the water. It will produce highly skilled industry-ready engineers with multidisciplinary expertise, deep specialist knowledge and a broad understanding of pertinent whole-energy systems. Our graduates will be future leaders in industry and academia world-wide, driving development of the ORE sector, helping to deliver the Government's carbon reduction targets for 2050 and ensuring that the UK remains at the forefront of this vitally important sector. In order to prepare students for the sector in which they will work, CDT-WAMSS will look to the future and focus on areas that will be relevant from 2023 onwards, which are not necessarily the issues of the past and present. For this reason, the scope of CDT-WAMSS will, in addition to in-stilling a solid understanding of wind and marine energy technologies and engineering, have a particular emphasis on: safety and safe systems, emerging advanced power and control technologies, floating substructures, novel foundation and anchoring systems, materials and structural integrity, remote monitoring and inspection including autonomous intervention, all within a cost competitive and environmentally sensitive context. The proposed new EPSRC CDT in Wind and Marine Energy Systems and Structures will provide an unrivalled Offshore Renewable Energy training environment supporting 70 students over five cohorts on a four-year doctorate, with a critical mass of over 100 academic supervisors of internationally recognised research excellence in ORE. The distinct and flexible cohort approach to training, with professional engineering peer-to-peer learning both within and across cohorts, will provide students with opportunities to benefit from such support throughout their doctorate, not just in the first year. An exceptionally strong industrial participation through funding a large number of studentships and provision of advice and contributions to the training programme will ensure that the training and research is relevant and will have a direct impact on the delivery of the UK's carbon reduction targets, allowing the country to retain its world-leading position in this enormously exciting and important sector.

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  • Funder: UK Research and Innovation Project Code: EP/S023836/1
    Funder Contribution: 5,780,930 GBP

    The EPSRC Centre for Doctoral Training in Renewable Energy Northeast Universities (ReNU) is driven by industry and market needs, which indicate unprecedented growth in renewable and distributed energy to 2050. This growth is underpinned by global demand for electricity which will outstrip growth in demand for other sources by more than two to one (The drivers of global energy demand growth to 2050, 2016, McKinsey). A significant part of this demand will arise from vast numbers of distributed, but interconnected devices (estimated to reach 40 billion by 2024) serving sectors such as healthcare (for ageing populations) and personal transport (for reduced carbon dioxide emission). The distinctive remit of ReNU therefore is to focus on materials innovations for small-to-medium scale energy conversion and storage technologies that are sustainable and highly scalable. ReNU will be delivered by Northumbria, Newcastle and Durham Universities, whose world-leading expertise and excellent links with industry in this area have been recognised by the recent award of the North East Centre for Energy Materials (NECEM, award number: EP/R021503/1). This research-focused programme will be highly complementary to ReNU which is a training-focused programme. A key strength of the ReNU consortium is the breadth of expertise across the energy sector, including: thin film and new materials; direct solar energy conversion; turbines for wind, wave and tidal energy; piezoelectric and thermoelectric devices; water splitting; CO2 valorisation; batteries and fuel cells. Working closely with a balanced portfolio of 36 partners that includes multinational companies, small and medium size enterprises and local Government organisations, the ReNU team has designed a compelling doctoral training programme which aims to engender entrepreneurial skills which will drive UK regional and national productivity in the area of Clean Growth, one of four Grand Challenges identified in the UK Government's recent Industrial Strategy. The same group of partners will also provide significant input to the ReNU in the form of industrial supervision, training for doctoral candidates and supervisors, and access to facilities and equipment. Success in renewable energy and sustainable distributed energy fundamentally requires a whole systems approach as well as understanding of political, social and technical contexts. ReNU's doctoral training is thus naturally suited to a cohort approach in which cross-fertilisation of knowledge and ideas is necessary and embedded. The training programme also aims to address broader challenges facing wider society including unconscious bias training and outreach to address diversity issues in science, technology, engineering and mathematics subjects and industries. Furthermore, external professional accreditation will be sought for ReNU from the Institute of Physics, Royal Society of Chemistry and Institute of Engineering Technology, thus providing a starting point from which doctoral graduates will work towards "Chartered" status. The combination of an industry-driven doctoral training programme to meet identifiable market needs, strong industrial commitment through the provision of training, facilities and supervision, an established platform of research excellence in energy materials between the institutions and unique training opportunities that include internationalisation and professional accreditation, creates a transformative programme to drive forward UK innovation in renewable and sustainable distributed energy.

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  • Funder: UK Research and Innovation Project Code: EP/V040561/1
    Funder Contribution: 810,900 GBP

    The NHP-WEC project aims to advance data-driven monitoring and control in connection to both device technology and sea state predictions for WEC arrays. The research proposed is simultaneously generic while also significantly contributing to the development of an existing concept device that has shown potential, namely the multi-axis TALOS that has been developed and tank tested at Lancaster University (LU). TALOS is a novel multi-axis point absorber-style built as a 1/100th scale representation, with a solid outer hull containing all the moving parts (like a submarine or a PS Frog style WEC device). The internal PTO system is made up of an inertial mass with hydraulic cylinders that attach it to the hull. The mass makes up a significant proportion of the device, hence it moves around as the hull is pushed by various wave motions. The motion of the ball moves hydraulic cylinders causing them to pump hydraulic fluid through a circuit. The flow of this hydraulic fluid is used to turn a hydraulic motor, which is coupled to an electrical generator, to generate electricity i.e. an inertial mass PTO approach. Key strengths include: The arrangement of the rams allows for the mass ball to move in multiple directions, allowing energy to be captured from multiple degrees of freedom. The flow of hydraulic fluid will change as the ball's motion changes, so an internal hydraulic smoothing circuit is utilised to regulate the output. The latest design has proven to be successful in wave tank testing and the PTO system yields a smooth output in response to time-varying inputs from waves. An analytical model has also been developed to combine data from the hull model and hydraulic rig, yielding a predicted power output of up to 3.2 kW. However, TALOS is at a very early stage of development and requires further research to advance its Technology Readiness Level (TRL). The design, development, deployment and operation of WECs, such as TALOS and their potential commercial use requires a holistic understanding of the marine environment, including on-line monitoring to enhance control combined with prediction. Potential WEC deployment sites and energy resource from single devices and arrays must be determined. Operational conditions, including wave characteristics must be quantified to estimate dynamic loads on WEC, constraining manufacturing and their real-time operation. In this context, SmartWave, developed by the UoH, with the ORE Catapult and Orsted, is a tool capable of deriving high resolution sea state conditions from satellite images using machine learning. Key strengths: SmartWave is based on a novel forecasting methodology, capable of resolving sea state within offshore windfarms for sector O&M logistics. It integrates recent advances in all-weather satellite monitoring to map and study the temporal and spatial distribution of sea surface wave characteristics. However, existing limitations must be addressed to advance the TRL of WEC capabilities and hence fully exploit this new technology. For example, it has been developed to characterize significant wave height, whilst further research is essential in order to extract other sea state parameters, including wave height, direction and frequency. Nonetheless, since it is capable of global reach remotely, without the use of in situ sensors, SmartWave is uniquely placed to identify the selection of appropriate deployment sites depending on the device size and specification, for optimal production of electricity. The NHP-WEC project brings together key aspects of WEC technology and the global deployment potential of SmartWave, allowing integration of novel methodologies across optimisation, control, condition monitoring and resource forecasting. These advances will together drive evidenced reductions in costs and hence provide confidence on the benefits of wave energy technology to developers and investors.

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