search
99,782 Projects

  • 2022

10
arrow_drop_down
  • Funder: NIH Project Code: 5IK2RX001651-06
    more_vert
  • Funder: NSF Project Code: 1919476
    Funder Contribution: 128,912 USD
    more_vert
  • Funder: NIH Project Code: 5T32GM008440-22
    Funder Contribution: 286,338 USD
    more_vert
  • Funder: NIH Project Code: 5R01CA219150-03
    Funder Contribution: 342,815 USD
    more_vert
  • Funder: NIH Project Code: 5R35GM119751-06
    Funder Contribution: 343,392 USD
    more_vert
  • Funder: UKRI Project Code: 104230
    Funder Contribution: 725,412 GBP

    Delivered by a compact partnership of UK energy industry leaders and a global leader in e-bus manufacturing combined with academic strength in business modelling, Bus2Grid will deliver the UK's first e-bus to grid multi-megawatt demonstration at commercial scale. Delivered in London, where TfL (project advisor) is leading the way for clean urban transport with a programme of electrification of 300 buses by 2020, Bus2Grid aims to provide the innovation required to accommodate this demand within the distribution network providing a clear route to market and launch pad for V2G services in the e-bus space. Partners: * BYD: Global leader in e-bus manufacturing: * UKPN: UK's leading innovative DNO; * SSE: UK's second largest electricity generator; * Leeds University: One of the UKs largest research intensive universities with expertise across energy systems, cities and transport systems. Key objectives to deliver: * 11 retrofit and 22 new build V2G enabled e-buses and 2.64 MW of bi-directional charging infrastructure in an identified London bus depot (Northumberland Park), with over 1-2 MW of V2G response; * An aggregation platform integrated with the depot's Charging Management System with interfaces to offer services to National Grid and UKPN (DNO); * A test site with three V2G enabled e-buses and charging points to validate the technical solution (based in BYD Service Centre West London); * A clear V2G mass roll-out strategy within the e-bus market; * Demonstrate the value of V2G services to National Grid, DNOs and bus operators; * Create new business models and market frameworks that allow capture of the identified value streams; * Understand bus operators attitudes to V2G technologies at different project stages and to new business models, and create a tailored V2G services proposition; * Disseminate key findings and recommendations for stakeholders critical to the development of V2G markets. Key Innovations: * Market -- for the first time in the UK, V2G services will be provided from e-buses, each with an energy capacity more than ten times the new Nissan Leaf; * Technology -- software and hardware capabilities to enable V2G in e-buses; software in Charging Management Systems (precision energy planning on a vehicle by vehicle basis); integrated with an aggregation platform to offer services to National Grid and DNOs; * Commercial -- assessment of commercial potential of V2G from e-buses and development of new business models; first-time assessment of V2G services for DNOs; first-time bidding for Frequency Response from aggregated electric bus batteries; first time engagement and understanding of bus operators attitudes to V2G.

    more_vert
  • Funder: NIH Project Code: 1R01AI128845-01
    Funder Contribution: 199,999 USD
    more_vert
  • Funder: NIH Project Code: 5R01AI135937-03
    Funder Contribution: 326,664 USD
    more_vert
  • Funder: UKRI Project Code: 10009619
    Funder Contribution: 56,760 GBP

    With nearly 40 million MRI scans performed annually in the United States alone, diagnostic imaging costs are substantial. In the UK, between October 2018 and September 2019, there were 45.2 million imaging tests of which 3.46 million were Magnetic Resonance Imaging (MRI). Children account for approximately 10% of adult MRI statistics and may need to undergo MRI scans for a variety of reasons (eg head injuries, neuro-inflammatory conditions). The experience can be distressing and upsetting especially for young children. The quality of the scan relies on the child lying still for 30 minutes to over an hour. If they become distressed, the scan will need to be done again or the child will need sedation or general anaesthetic. This feasibility study is to develop a MVP for an augmented reality app for Great Ormond Street Hospital patients that need MRI scans to prepare from home in order to reduce the numbers of children needing sedation and general anaesthetic. Prevention of psychological issues relating to hospital procedures, also ensures a happier patient experience and better physical and mental outcomes which reduces the longer-term burden on the social care system.

    more_vert
  • Funder: NIH Project Code: 5R01AI118916-05
    Funder Contribution: 507,805 USD
    more_vert
99,782 Projects
  • Funder: NIH Project Code: 5IK2RX001651-06
    more_vert
  • Funder: NSF Project Code: 1919476
    Funder Contribution: 128,912 USD
    more_vert
  • Funder: NIH Project Code: 5T32GM008440-22
    Funder Contribution: 286,338 USD
    more_vert
  • Funder: NIH Project Code: 5R01CA219150-03
    Funder Contribution: 342,815 USD
    more_vert
  • Funder: NIH Project Code: 5R35GM119751-06
    Funder Contribution: 343,392 USD
    more_vert
  • Funder: UKRI Project Code: 104230
    Funder Contribution: 725,412 GBP

    Delivered by a compact partnership of UK energy industry leaders and a global leader in e-bus manufacturing combined with academic strength in business modelling, Bus2Grid will deliver the UK's first e-bus to grid multi-megawatt demonstration at commercial scale. Delivered in London, where TfL (project advisor) is leading the way for clean urban transport with a programme of electrification of 300 buses by 2020, Bus2Grid aims to provide the innovation required to accommodate this demand within the distribution network providing a clear route to market and launch pad for V2G services in the e-bus space. Partners: * BYD: Global leader in e-bus manufacturing: * UKPN: UK's leading innovative DNO; * SSE: UK's second largest electricity generator; * Leeds University: One of the UKs largest research intensive universities with expertise across energy systems, cities and transport systems. Key objectives to deliver: * 11 retrofit and 22 new build V2G enabled e-buses and 2.64 MW of bi-directional charging infrastructure in an identified London bus depot (Northumberland Park), with over 1-2 MW of V2G response; * An aggregation platform integrated with the depot's Charging Management System with interfaces to offer services to National Grid and UKPN (DNO); * A test site with three V2G enabled e-buses and charging points to validate the technical solution (based in BYD Service Centre West London); * A clear V2G mass roll-out strategy within the e-bus market; * Demonstrate the value of V2G services to National Grid, DNOs and bus operators; * Create new business models and market frameworks that allow capture of the identified value streams; * Understand bus operators attitudes to V2G technologies at different project stages and to new business models, and create a tailored V2G services proposition; * Disseminate key findings and recommendations for stakeholders critical to the development of V2G markets. Key Innovations: * Market -- for the first time in the UK, V2G services will be provided from e-buses, each with an energy capacity more than ten times the new Nissan Leaf; * Technology -- software and hardware capabilities to enable V2G in e-buses; software in Charging Management Systems (precision energy planning on a vehicle by vehicle basis); integrated with an aggregation platform to offer services to National Grid and DNOs; * Commercial -- assessment of commercial potential of V2G from e-buses and development of new business models; first-time assessment of V2G services for DNOs; first-time bidding for Frequency Response from aggregated electric bus batteries; first time engagement and understanding of bus operators attitudes to V2G.

    more_vert
  • Funder: NIH Project Code: 1R01AI128845-01
    Funder Contribution: 199,999 USD
    more_vert
  • Funder: NIH Project Code: 5R01AI135937-03
    Funder Contribution: 326,664 USD
    more_vert
  • Funder: UKRI Project Code: 10009619
    Funder Contribution: 56,760 GBP

    With nearly 40 million MRI scans performed annually in the United States alone, diagnostic imaging costs are substantial. In the UK, between October 2018 and September 2019, there were 45.2 million imaging tests of which 3.46 million were Magnetic Resonance Imaging (MRI). Children account for approximately 10% of adult MRI statistics and may need to undergo MRI scans for a variety of reasons (eg head injuries, neuro-inflammatory conditions). The experience can be distressing and upsetting especially for young children. The quality of the scan relies on the child lying still for 30 minutes to over an hour. If they become distressed, the scan will need to be done again or the child will need sedation or general anaesthetic. This feasibility study is to develop a MVP for an augmented reality app for Great Ormond Street Hospital patients that need MRI scans to prepare from home in order to reduce the numbers of children needing sedation and general anaesthetic. Prevention of psychological issues relating to hospital procedures, also ensures a happier patient experience and better physical and mental outcomes which reduces the longer-term burden on the social care system.

    more_vert
  • Funder: NIH Project Code: 5R01AI118916-05
    Funder Contribution: 507,805 USD
    more_vert