
Scottish Power Energy Networks Holdings Limited
Scottish Power Energy Networks Holdings Limited
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32 Projects, page 1 of 7
assignment_turned_in Project2019 - 2023Partners:Scorpion Power System Ltd, Inst Electrical & Electronics Eng - IEEE, COST, Turbo Power Systems (TPS), QUERCUS Investment Partners +39 partnersScorpion Power System Ltd,Inst Electrical & Electronics Eng - IEEE,COST,Turbo Power Systems (TPS),QUERCUS Investment Partners,JingGe Electromagnetics Ltd,WSP Group plc,QUERCUS Investment Partners,European Cooperation in Science and Technology,FTI Consulting,WSP Civils,NR Electric UK Limited,JingGe Electromagnetics Ltd,Messier-Dowty Ltd,Scottish Power Energy Networks Holdings Limited,Cardiff University,Scorpion Power System Ltd,Inst Electrical & Electronics Eng - IEEE,SP Energy Networks,LONDON UNDERGROUND LIMITED,Safran Power UK Ltd,ABB Group,National Grid PLC,Welsh Government,Aston Martin Lagonda (Gaydon),Turbopowersystems,ABB Ltd,Aston Martin Lagonda (Gaydon),ABB (Switzerland),AOS Technology Ltd,COST,WSP Group plc UK,WELSH GOVERNMENT,TfL,Welsh Government,NR Electric UK Limited,National Grid plc,CARDIFF UNIVERSITY,FTI Consulting,Ricardo (United Kingdom),Cardiff University,Safran Power UK Ltd,AEA Technology,Ricardo UKFunder: UK Research and Innovation Project Code: EP/S032053/1Funder Contribution: 915,857 GBPThe proposed multidisciplinary network for Decarbonizing Transport through Electrification (DTE) will bring together research expertise to address the challenges of interactions between energy networks, future electric vehicle charging infrastructure ( including roadside wireless charging, the shift to autonomous vehicles), electric and hybrid aircraft and electrification of the rail network. The DTE network will bring together industry, academia and the public sector to identify the challenges limiting current implementation of an electrified, integrated transport system across the automotive, aerospace and rail sectors. The network will develop and sustain an interdisciplinary team to solve these challenges, leveraging external funding from both public and private sectors, aiming to be become self sustainable in future and growing to establish an International Conference. The network will be inclusive, with a focus EDI and mechanisms to support colleagues such as early career researchers. The DTE network will address low-carbon transport modes (road, rail and airborne) alongside associated electricity infrastructures to support existing and deliver future mobility needs, treating these as an integrated system embedded within the electricity energy vector with the goal of decarbonising the transport sector. It will explore drivers for change within the transport system including technology innovation, individual mobility needs and economic requirements for change alongside environmental and social concerns for sustainability and consider the role, social acceptance and impact of policies and regulations to result in emissions reduction. The network has three key "Work Streams" focusing on: (i) vehicular technologies; (ii) charging infrastructure; (iii) energy systems. These will be underpinned by cross-cutting themes around large scale data analysis and human factors. The network also has a dedicated Work Stream on people-based activities to enable us to widen our dissemination and impact across other communities. The outcome of the DTE network is expected to transform current practices and research in the decarbonization of transport (considering a number of different perspectives).
more_vert assignment_turned_in Project2010 - 2011Partners:Flexitricity Limited, Scottish Power Energy Networks, Wilson Energy, Scottish Power (United Kingdom), E ON Central Networks plc +11 partnersFlexitricity Limited,Scottish Power Energy Networks,Wilson Energy,Scottish Power (United Kingdom),E ON Central Networks plc,Scottish and Southern Energy,Scottish and Southern Energy SSE plc,Scottish Power Energy Networks Holdings Limited,University of Edinburgh,FLEXITRICITY LIMITED,UIE,International Union for Electricity Appl,E.ON E&P UK Ltd,Wilson Energy,Areva,ArevaFunder: UK Research and Innovation Project Code: EP/I000585/1Funder Contribution: 389,489 GBPAbstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
more_vert assignment_turned_in Project2017 - 2020Partners:Siemens plc (UK), CENSIS, BASEC (British Approvals Serv for Cables, Scottish Power Energy Networks Holdings Limited, Hi Speed Sustainable Manufacturing Inst +25 partnersSiemens plc (UK),CENSIS,BASEC (British Approvals Serv for Cables,Scottish Power Energy Networks Holdings Limited,Hi Speed Sustainable Manufacturing Inst,Fugro GEOS Ltd,HSSMI (High Speed Sust Manufact Inst),Nova Innovation,University of Edinburgh,Hydrason Solutions Ltd,Offshore Renewable Energy Catapult,BASEC (British Approvals Serv for Cables,CENSIS,University of Salford,BPP-TECH,DNV GL (UK),OFFSHORE RENEWABLE ENERGY CATAPULT,Scottish Power Energy Networks,University of Manchester,Hydrason Solutions Ltd,The University of Manchester,Nova Innovation Ltd,BPP-Tech,SIEMENS PLC,Narec Capital Limited,European Marine Energy Centre,European Marine Energy Centre Ltd (EMEC),Fugro (UK),Scottish Power (United Kingdom),DNV GL (UK)Funder: UK Research and Innovation Project Code: EP/P009743/1Funder Contribution: 3,048,220 GBPThis project will undertake the research necessary for the remote inspection and asset management of offshore wind farms and their connection to shore. This industry has the potential to be worth £2billion annually by 2025 in the UK alone according to studies for the Crown Estate. At present most Operation and Maintenance (O&M) is still undertaken manually onsite. Remote monitoring through advanced sensing, robotics, data-mining and physics-of-failure models therefore has significant potential to improve safety and reduce costs. Typically 80-90% of the cost of offshore O&M according to the Crown Estate is a function of accessibility during inspection - the need to get engineers and technicians to remote sites to evaluate a problem and decide what remedial action to undertake. Minimising the need for human intervention offshore is a key route to maximising the potential, and minimising the cost, for offshore low-carbon generation. This will also ensure potential problems are picked up early, when the intervention required is minimal, before major damage has occurred and when maintenance can be scheduled during a good weather window. As the Crown Estate has identified: "There is an increased focus on design for reliability and maintenance in the industry in general, but the reality is that there is a still a long way to go. Wind turbine, foundation and electrical elements of the project infrastructure would all benefit from innovative solutions which can demonstrably reduce O&M spending and downtime". Recent, more detailed, academic studies support this position. The wind farm is however an extremely complicated system-of-systems consisting of the wind turbines, the collection array and the connection to shore. This consists of electrical, mechanical, thermal and materials engineering systems and their complex interactions. Data needs to be extracted from each of these, assessed as to its significance and combined in models that give meaningful diagnostic and prognostic information. This needs to be achieved without overwhelming the user. Unfortunately, appropriate multi-physics sensing schemes and reliability models are a complex and developing field, and the required knowledge base is presently scattered across a variety of different UK universities and subject specialisms. This project will bring together and consolidate theoretical underpinning research from a variety of disparate prior research work, in different subject areas and at different universities. Advanced robotic monitoring and advanced sensing techniques will be integrated into diagnostic and prognostic schemes which will allow improved information to be streamed into multi-physics operational models for offshore windfarms. Life-time, reliability and physics of failure models will be adapted to provide a holistic view of wind-farms system health and include these new automated information flows. While aspects of the techniques required in this offshore application have been previously used in other fields, they are innovative for the complex problems and harsh environment in this offshore system-of-systems. 'Marinising' these methods is a substantial challenge in itself. The investigation of an integrated monitoring platform and the reformulation of models and techniques to allow synergistic use of data flow in an effective and efficient diagnostic and prognostic model is ambitious and would allow a major step change over present practice.
more_vert assignment_turned_in Project2020 - 2024Partners:SP Energy Networks, Drilcorp, Town Rock Energy Ltd, Star Refrigeration Ltd, Energy Technology Partnership +16 partnersSP Energy Networks,Drilcorp,Town Rock Energy Ltd,Star Refrigeration Ltd,Energy Technology Partnership,WSP Civils,Scottish and Southern Energy,Scottish and Southern Energy SSE plc,Energy Technology Partnership,Ristol Consulting,Natural Power,Star Refrigeration Ltd,Natural Power,Scottish Power Energy Networks Holdings Limited,WSP Group plc,University of Edinburgh,Natural Resources Canada,NRCan,Town Rock Energy Ltd,Drilcorp,Ristol ConsultingFunder: UK Research and Innovation Project Code: EP/T023112/1Funder Contribution: 1,445,830 GBPThis project evaluates the potential of Seasonal Thermal Energy Storage (STES) systems to facilitate the decarbonisation of heating and cooling while at the same time providing flexibility services for the future net-zero energy system. The Committee on Climate Change's recent report highlighted that a complete decarbonisation of the building, industry and electricity sectors is required to reach net-zero. Current estimates are that 44% of the total energy demand in the UK is due to heat demand which has large seasonal variations (about 6 times higher in winter compared to summer) and high morning peak ramp-up rates (increase in heat demand is 10 times faster than the increase in electricity demand). Currently, around 80% of the heat is supplied through the natural gas grid which provides the flexibility and capacity to handle the large and fast variations but causes large greenhouse gas emissions. While cooling demand is currently very small in the UK, it is expected to increase significantly: National Grid estimates an increase of up to 100% of summer peak electricity demand due to air conditioning by 2050. In countries such as Denmark, district energy systems with Seasonal Thermal Energy Storage (STES) are already proving to be affordable and more sustainable alternatives to fossil fuel-based heating that are able to handle the high ramp-up rates and seasonal variations. However, the existing systems are usually designed and operated independently from the wider energy system (electricity, cooling, industry and transport sectors), while it has been shown that the best solution (in terms of emissions reduction and cost) can only be found if all energy sectors are combined and coordinated. In particular, large STES systems which are around 100 times cheaper per installed kWh compared to both electricity and small scale domestic thermal storage, can unlock synergies between heating and cooling demand on one side, and industrial, geothermal and waste heat, and variable renewable electricity generation on the other side. However, the existing systems cannot be directly translated to the UK due to different subsurface characteristics and different wider energy system contexts. In addition, the multi-sector integration is still an open challenge due to the complex and nonlinear interactions between the different sectors. This project will develop a holistic and integrated design of district energy systems with STES by considering the interplay and coordination between energy supply and demand, seasonal thermal storage characteristics, and regulation and market frameworks. The results and models from the individual areas will be combined in a whole system model for the design and operation of smart district energy systems with STES. The whole system model will be used to develop representative case studies and guidelines for urban, suburban and campus thermal energy systems based around the smart integration of STES systems. The results will enable the development and deployment of low carbon heating and cooling systems that provide affordable, flexible and reliable thermal energy for the customers while also improving the utilisation of the grid infrastructure and the integration of renewable generation assets and other heat sources.
more_vert assignment_turned_in Project2019 - 2025Partners:The Alan Turing Institute, Low Carbon Vehicle Partnership, Pivot Power LLP, Pivot Power LLP, Heatcatcher Ltd +69 partnersThe Alan Turing Institute,Low Carbon Vehicle Partnership,Pivot Power LLP,Pivot Power LLP,Heatcatcher Ltd,International Energy Storage Alliance,University of Birmingham,Advanced Propulsion Centre UK Ltd (APC),Atkins,Innovatium,Northern Powergrid,Jaguar Cars,SIEMENS PLC,Scottish and Southern Energy SSE plc,ITM Power plc,ABB Group,Advanced Propulsion Centre UK Ltd (APC),H J Enthoven & Sons,Siemens plc (UK),Scottish Power Energy Networks,Northern Gas Networks,Williams Advanced Engineering Ltd,Penso Power,Cenex,International Energy Storage Alliance,Williams Advanced Engineering Ltd,Johnson Matthey,Doosan (United Kingdom),GS Yuasa Battery (UK),Scottish Power (United Kingdom),Penso Power,TATA Motors Engineering Technical Centre,Atkins (United Kingdom),Flexible Power Systems,Flexible Power Systems,Newcastle University,Oxis Energy Ltd,Doosan Power Systems,Johnson Matthey Plc,Yuasa Battery UK Ltd,Nexeon Ltd,Scottish and Southern Energy,Highview Power Storage (United Kingdom),ABB Ltd,Aggregated Micro Power Holdings,Scottish Power Energy Networks Holdings Limited,PassivSystems Limited,ABB (Switzerland),National Grid PLC,JAGUAR LAND ROVER LIMITED,Newcastle University,Heatcatcher Ltd,Doosan Babcock Power Systems,Cenex,Rolls-Royce (United Kingdom),Innovatium,Low Carbon Vehicle Partnership,Scottish and Southern Energy SSE plc,Nexor Ltd,The Alan Turing Institute,Atkins UK,Aggregated Micro Power Holdings,ITM POWER PLC,Oxis Energy Ltd,ITM Power,Rolls-Royce Plc (UK),Johnson Matthey plc,PassivSystems Limited,University of Birmingham,National Grid plc,Highview Power Storage,H J Enthoven & Sons,Northern Powergrid (United Kingdom),Rolls-Royce (United Kingdom)Funder: UK Research and Innovation Project Code: EP/S032622/1Funder Contribution: 1,012,010 GBPEnergy Storage (ES) has a key role to play as a part of whole UK and global energy systems, by providing flexibility, enhancing affordability, security and resilience against supply uncertainties, and addressing the huge challenges related to the climate change. Following UKRI investment over the last decade, the UK is in a strong position internationally in ES research and innovation. Although areas of UK expertise are world leading, there is little interaction between these areas and interplaying disciplines e.g. artificial intelligence, data and social sciences. This fragmentation limits the community's ability to deliver significant societal impact and threatens the continuity of delivering research excellence, missing opportunities as a result. Consequently, there is now an urgent need for the ES community to connect, convene and communicate more effectively. The proposed Supergen Storage Network Plus 2019 project (ES-Network+) responds to this need by bringing together 19 leading academics at different career stages across 12 UK institutions, with complementary energy storage (ES) related expertise and the necessary multidisciplinary balance to deliver the proposed programme. The aim of the ES-Network+ is to create a dynamic, forward-looking and sustainable platform, connecting and serving people from diverse backgrounds across the whole ES value chain including industry, academia and policymakers. As a focal point for the ES community, we will create, exchange and disseminate ES knowledge with our stakeholders. We will nurture early career researchers (ECR) in ES and establish ambitious, measurable goals for equality, diversity and inclusion (EDI). We will complement existing activities (e.g. Faraday Institution, UKERC, Energy Systems Catapult, CREDS, other Supergen Hubs) to serve the UK's needs, delivering impact nationally and internationally. The ES-Network+ will convene and support the ES community to deliver societal impact through technological breakthroughs, generating further value from the UKRI ES portfolio. It will be a secure and inclusive eco-system for researchers in ES & related fields to access, innovate, build and grow their UK and international networks. It is distinctive from the current Supergen Storage Hub: We have a PI with non-electrochemical background, an expanded investigator team with complementary expertise in energy network integration, mechanical and inter-seasonal thermal ES, hybrid storage with digital knowledge, cold storage, transport with ES integration, ES materials measurement & imaging and social science with policy implications. Early career researchers will hold key positions within the ES-Network+ and we will underpin all of our work with EDI values. We will develop an authoritative whitepaper for steering ES related decision-making, giving an overview of the ES community and a technical view on how ES research should be steered going forward. The team is extremely well-connected to the ES industry and the wider energy community and has secured 57 supporting organisations, including energy production, transmission, distribution & network operation, specialist aggregators of heat & power, storage technology developers and integrators; ES related manufacturers, ES related recycling; and research institutes/centres/hubs/networks/associations both nationally and internationally. The supporting organisations also bring in a significant amount of extra resources to ensure a successful delivery of the ES-Network+.
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