Worcester, MA, United States
Worcester, MA, United States

Babcock International Group plc is a multinational corporation headquartered in the United Kingdom, which specialises in support services managing complex assets and infrastructure in safety- and mission-critical environments. Although the company has civil contracts, its main business is with public bodies, particularly the UK Ministry of Defence and Network Rail. The company has four operating divisions with overseas operations based in Africa, North America & Australia. It is the world's 41st-largest defence contractor measured by 2010 defence revenues, and the third-largest based in the UK .Babcock is listed on the London Stock Exchange and is a constituent of the FTSE 100 Index. Wikipedia.


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Patent
Babcock Power | Date: 2017-01-11

A solid particle distribution controller includes a plurality of division plates proximate a division between an upstream solid particle conveyance pipe and a plurality of downstream pipes. The solid particle distribution controller also includes a plurality of extension plates. Each of the extension plates is movably mounted proximate to a respective division plate for movement in an upstream and downstream direction with respect to the division plate. The plurality of extension plates are configured and adapted for motion in the upstream and downstream direction independent of one another to extend upstream of the division plates as needed to improve solid particle distribution among the downstream pipes.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: EINFRA-1-2014 | Award Amount: 19.05M | Year: 2015

EUDAT2020 brings together a unique consortium of e-infrastructure providers, research infrastructure operators, and researchers from a wide range of scientific disciplines under several of the ESFRI themes, working together to address the new data challenge. In most research communities, there is a growing awareness that the rising tide of data will require new approaches to data management and that data preservation, access and sharing should be supported in a much better way. Data, and a fortiori Big Data, is a cross-cutting issue touching all research infrastructures. EUDAT2020s vision is to enable European researchers and practitioners from any research discipline to preserve, find, access, and process data in a trusted environment, as part of a Collaborative Data Infrastructure (CDI) conceived as a network of collaborating, cooperating centres, combining the richness of numerous community-specific data repositories with the permanence and persistence of some of Europes largest scientific data centres. EUDAT2020 builds on the foundations laid by the first EUDAT project, strengthening the links between the CDI and expanding its functionalities and remit. Covering both access and deposit, from informal data sharing to long-term archiving, and addressing identification, discoverability and computability of both long-tail and big data, EUDAT2020s services will address the full lifecycle of research data. One of the main ambitions of EUDAT2020 is to bridge the gap between research infrastructures and e-Infrastructures through an active engagement strategy, using the communities that are in the consortium as EUDAT beacons and integrating others through innovative partnerships. During its three-year funded life, EUDAT2020 will evolve the CDI into a healthy and vibrant data-infrastructure for Europe, and position EUDAT as a sustainable infrastructure within which the future, changing requirements of a wide range of research communities are addressed.


Grant
Agency: European Commission | Branch: H2020 | Program: COFUND-EJP | Phase: EURATOM | Award Amount: 856.96M | Year: 2014

A Roadmap to the realization of fusion energy was adopted by the EFDA system at the end of 2012. The roadmap aims at achieving all the necessary know-how to start the construction of a demonstration power plant (DEMO) by 2030, in order to reach the goal of fusion electricity in the grid by 2050. The roadmap has been articulated in eight different Missions. The present proposal has the goal of implementing the activities described in the Roadmap during Horizon 2020 through a joint programme of the members of the EUROfusion Consortium. ITER is the key facility in the roadmap. Thus, ITER success remains the most important overarching objective of the programme and, in the present proposal the vast majority of resources in Horizon 2020 are devoted to ensure that ITER is built within scope, time and budget; its operation is properly prepared; and a new generation of scientists and engineers is properly educated (at undergraduate and PhD level) and trained (at postdoctoral level) for its exploitation. DEMO is the only step between ITER and a commercial fusion power plant. To achieve the goal of fusion electricity demonstration by 2050, DEMO construction has to begin in the early 2030s at the latest, to allow the start of operation in the early 2040s. DEMO cannot be defined and designed by research laboratories alone, but requires the full involvement of industry in all technological and systems aspects of the design. Specific provisions for the involvement of industry in the Consortium activities are envisaged.


Grant
Agency: European Commission | Branch: FP7 | Program: CP-CSA | Phase: Fission-2013-4.1.2 | Award Amount: 9.33M | Year: 2013

The CHANDA project main objective is to address the challenges in the field of nuclear data for nuclear applications and its acronym stands for solving CHAllenges in Nuclear DAta The project will prepare a proposal for an organization that will coordinate the nuclear data research program, and the infrastructures and capabilities of the EU Member States in a stable structure, well integrated with R&D coordination tools (EERA, HORIZON 2020) , and with priorities aligned with the SET Plan and the SRAs of the EURATOM Technological Platforms, including the following general objectives: - to provide the nuclear data required for the safe and sustainable operation, and development, of existing and new reactors and nuclear fuel cycle facilities, - to prepare solutions for the challenges risen by the nuclear data measurements needed by nuclear systems, like the data for highly radioactive, short lived or rare materials, - to prepare tools that solve the challenges of quantifying and certifying the accuracy of the results of simulations based on available nuclear data and models (uncertainties), - to identify and promote synergies with other nuclear data applications. Using these tools will allow EU to upgrade the nuclear data up to the level needed by simulation codes to fulfill present requirements. In particular, the simulations should be able to: reduce the number of expensive experimental validations, to support the new tendencies in safety assessments to use best estimate codes to understand the limits of the plat safety towards extreme operational conditions, to optimize safety and performance of present and future reactors and other radioactive facilities. Other applications will benefit from this accuracy in nuclear data, notably in medical applications to optimize performance and minimize dose of radiation for diagnose and treatment.


Grant
Agency: European Commission | Branch: FP7 | Program: CP-TP | Phase: FoF.NMP.2012-4 | Award Amount: 18.22M | Year: 2013

The overarching goal of AMAZE is to rapidly produce large defect-free additively-manufactured (AM) metallic components up to 2 metres in size, ideally with close to zero waste, for use in the following high-tech sectors namely: aeronautics, space, automotive, nuclear fusion and tooling. Four pilot-scale industrial AM factories will be established and enhanced, thereby giving EU manufacturers and end-users a world-dominant position with respect to AM production of high-value metallic parts, by 2016. A further aim is to achieve 50% cost reduction for finished parts, compared to traditional processing. The project will design, demonstrate and deliver a modular streamlined work-flow at factory level, offering maximum processing flexibility during AM, a major reduction in non-added-value delays, as well as a 50% reduction in shop-floor space compared with conventional factories. AMAZE will dramatically increase the commercial use of adaptronics, in-situ sensing, process feedback, novel post-processing and clean-rooms in AM, so that (i) overall quality levels are improved, (ii) dimensional accuracy is increased by 25% (iii) build rates are increased by a factor of 10, and (iv) industrial scrap rates are slashed to <5%. Scientifically, the critical links between alloy composition, powder/wire production, additive processing, microstructural evolution, defect formation and the final properties of metallic AM parts will be examined and understood. This knowledge will be used to validate multi-level process models that can predict AM processes, part quality and performance. In order to turn additive manufacturing into a mainstream industrial process, a sharp focus will also be drawn on pre-normative work, standardisation and certification, in collaboration with ISO, ASTM and ECSS. The team comprises 31 partners: 21 from industry, 8 from academia and 2 from intergovernmental agencies. This represent the largest and most ambitious team ever assembled on this topic.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FETHPC-1-2014 | Award Amount: 7.88M | Year: 2015

Worldwide data volumes are exploding and islands of storage remote from compute will not scale. We will demonstrate the first instance of intelligent data storage, uniting data processing and storage as two sides of the same rich computational model. This will enable sophisticated, intention-aware data processing to be integrated within a storage systems infrastructure, combined with the potential for Exabyte scale deployment in future generations of extreme scale HPC systems. Enabling only the salient data to flow in and out of compute nodes, from a sea of devices spanning next generation solid state to low performance disc we enable a vision of a new model of highly efficient and effective HPC and Big Data demonstrated through the SAGE project. Objectives - Provide a next-generation multi-tiered object-based data storage system (hardware and enabling software) supporting future-generation multi-tier persistent storage media supporting integral computational capability, within a hierarchy. - Significantly improve overall scientific output through advancements in systemic data access performance and drastically reduced data movements. - Provides a roadmap of technologies supporting data access for both Exascale/Exabyte and High Performance Data Analytics. - Provide programming models, access methods and support tools validating their usability, including Big-Data access and analysis methods - Co-Designing and validating on a smaller representative system with earth sciences, meteorology, clean energy, and physics communities - Projecting suitability for extreme scaling through simulation based on evaluation results. Call Alignment: We address storage data access with optimised systems for converged Big Data and HPC use, in a co-design process with scientific partners and applications from many domains. System effectiveness and power efficiency are dramatically improved through minimized data transfer, with extreme scaling and resilience.


Patent
Babcock Power | Date: 2015-06-25

An elbow for a solid particle conveyance system includes an elbow body having an inlet duct and an outlet duct with an interior space defined between the inlet and outlet ducts. An aeration insert is mounted to the elbow body for aerating solid particles passing through the interior space of the elbow body. The aeration insert is mounted to the elbow body to provide aeration from an elevation between that of the inlet duct and the outlet duct to facilitate downward movement of solid particles from the inlet duct across the aeration insert, and out through the outlet duct.


A variable orifice assembly includes a housing defining a flow orifice therethrough and configured to be connected in fluid communication between two pipes of a particle conveyance system. The assembly includes a plurality of blades pivotally mounted to the housing to pivot between a retracted position and an extended position. Each blade includes a gas path edge. In the retracted position, the gas path edges of the blades conform to the flow orifice. In the extended position, the blades extend inward from the flow orifice wherein the gas path edge of each blade is spaced apart from the other blades.


A variable orifice assembly includes a housing defining a flow orifice therethrough and configured to be connected in fluid communication between two pipes of a particle conveyance system. The assembly includes a plurality of blades pivotally mounted to the housing to pivot between a retracted position and an extended position. Each blade includes a gas path edge. In the retracted position, the gas path edges of the blades conform to the flow orifice. In the extended position, the blades extend inward from the flow orifice.


Patent
Babcock Power | Date: 2015-12-16

A solid fuel nozzle tip for issuing a flow of mixed solid fuel and air to a boiler includes a tip body having an inlet and an outlet defining a longitudinal axis therebetween. The tip body includes a slot on an inlet side of the tip body extending in a direction parallel to the longitudinal axis. The slot includes an opening facing the inlet side of the tip body and a recess formed at an angle with respect to the longitudinal axis to at least partially retain a pivot pin. A solid fuel nozzle assembly for issuing a flow of mixed solid fuel and air to a boiler includes a solid fuel nozzle tip with a tip body, as described above, and a locking plate operatively connected to the tip body to assist in retaining a pivot pin within the slot of the tip body.

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