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0
2024-03-01 to 2024-05-31
Feasibility Studies
23,743
2020-07-01 to 2022-03-31
CR&D Bilateral
Quantum technology -- mapping and map integration for buried assets (QT-MIBA) seeks to evaluate the feasibility of obtaining and publishing more complete and accurate information on the location of buried assets through enhanced processing of geophysical sensor data. The goal of QT-MIBA is to address the accidental strikes on underground utility pipes and cables that cost the country £1.2bn a year as well as reducing the traffic delays caused by utility streetworks estimated as 6.16 million days of work lost between 2014-2015\. It will also prevent incidents of workers accidentally hitting gas and electric pipes and thereby endangering their lives and interrupting supply of services to customers. QT-MIBA represents a major collaboration between Great Britain's national mapping agency and world-leading geospatial authority, an asset owner, a survey company, a data processing SME and an academic partner leading the application of quantum technology sensors for civil engineering applications. The project aligns with quantum technology sensor development, by providing a roadmap and value assessment of the data to end users. It also supports the initiative promoted by the Geospatial Commission to bring together existing data on underground infrastructure currently held by individual organisations (both privatised and non-privatised) to create a National Underground Asset Register (NUAR). OS and NWL currently collaborate on a pilot project in the North East to explore how accurate geospatial data can reduce the likelihood of utility strikes, improve underground infrastructure maintenance and inform new-build development projects. While bringing together existing buried infrastructure data is a significant step forward, there are many questions about the quality of this existing data, including omissions. There is, then, a role for data derived from geophysical surveys to update statutory record data. QT-MIBA will deliver a feasibility study to assess how data from QT, combined with data from traditional geophysical sensors, can be enhanced using novel processing techniques including Artificial Intelligence, deep learning and quantum machine learning. Moreover, it will develop protocols which will enable survey data collected at disparate locations across the network to be integrated into geospatial maps. This will enable an assessment of the value of enhancing the positional accuracy of buried asset records without the need to wait until they are dug up for maintenance.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
2019-02-01 to 2021-02-28
Knowledge Transfer Partnership
To integrate analytical and computational methods from the physical sciences with ‘crowd-sourced’ information from communities in order to design new tools and working practices that reduce potential risks and impacts of sewer flooding through better communication with customers.
25,900
2016-06-01 to 2017-05-31
Feasibility Studies
Newcastle Upon Tyne is a Blue/Green Infrastructure (BGI) demonstration city. Blue/Green cities aim to reintroduce the natural water cycle into urban environments by encouraging interdisciplinary cooperation between city services and can achieve environmental, ecological, socio-cultural and economic benefits. This project will use Blue/Green principles to integrate the Surface Water Management Plan (SWMP), which was created in partnership between Northumbrian Water Limited (NWL), Newcastle City Council (NCC) and the Environment Agency (EA), with the NCC’s Transport Infrastructure Enhancement Plan (TEP). The key objective of this innovative approach is to increase the likelihood of the successful delivery of opportunities and benefits identified within the respective plans such as enhance the resilience of the transport infrastructure in Newcastle, reduce the risk of flooding and improve the health and well being of the people who utilise the city. This feasibility study will investigate the interventions identified in each plan within a robust and cost effective framework that considers a wider range of benefits and opportunities.
2015-06-01 to 2017-11-30
Knowledge Transfer Partnership
To use a problematic waste material created in floodwater in old mine workings to remove problem nutrients in present day water treatment.
46,475
2013-02-01 to 2013-05-31
Small Business Research Initiative
This project seeks to prove the viability and subsequently to deliver a project which utilises the waste heat and CO2 from Combined Heat and Power (CHP) and Thermal Hydrolysis (TH) plants associated with advanced anaerobic digestion at Northumbrian Water’s sewage treatment works. These two locally derived streams will be used to promote the growth of salad crops under glass for local delivery. In conventional anaerobic digestion, most of the biogas fuelling a CHP plant is required to heat the digester itself. Only plants that manage their energy balance with a TH plant produce a significant amount of additional heat. However, the waste heat output from just these plants has been calculated as being up to 24.5 MW. It is inevitable that many more new anaerobic digestion plants will be built over the next few years, treating a variety of organic waste material. TH will form an integral part of many of these, as well as being retrofitted onto existing anaerobic digesters. There is thus great potential for gaining even greater benefit from anaerobic digestion in the future by utilising waste heat in this way. Much of Europe’s greenhouse crop production is supplied with power and heat from dedicated CHP plants. This project is unique in that it proposes to utilise the energy from a fully sustainable product, sewage sludge.
2011-06-01 to 2013-02-28
Knowledge Transfer Partnership
To investigate, trial and implement viable solutions to re-use and recycle water treatment sludge.