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0
2021-03-01 to 2023-08-31
Collaborative R&D
The Net Zero Teesside project, together with its associated Transportation and Storage project, the Northern Endurance Partnership, create a pathway to facilitate decarbonisation of the Teesside industrial cluster in the mid 2020s. Net Zero Teesside and the Northern Endurance Partnership are led by bp and leverage world class expertise from across industry including CF Fertilisers, BOC Gases, ENI, Equinor, National Grid, Sembcorp, Shell and Total, with confirmed support from many more stakeholders and subcontractors. The project anchor is a world first flexible gas power plant with Carbon Capture, Utilisation and Storage (CCUS) which will "compliment rather than compete with" renewables. It will capture ~2 million tonnes of CO2 annually from 2026, decarbonising 750MW of flexible power and enabling a reduction of Teesside's emissions by one third through partnership with industrial stakeholders including CF, BOC and Sembcorp. CO2 will be permanently and safely stored in a well understood large geological aquifer located in the Southern North Sea. NZT addresses widely accepted strategic national priorities - most notably to secure green recovery and drive new jobs and economic growth in regions most hit by the pandemic. NZT will also deliver on the Chancellor's pledge in the 2020 Budget to "support the construction of the UK's first CCUS power plant." The Committee on Climate Change identified both gas power with CCUS and hydrogen production using natural gas with CCUS as critical to the UK's decarbonisation strategy, and gas power with CCUS has been independently estimated to reduce the overall UK power system cost to consumers by £19bn by 2050 (compared to alternative options such as energy storage). The £61mn industry contribution coupled with £28mn grant funding should enable Teesside to subsequently build this billion-pound decarbonisation project. Private financing for CCUS projects and flexible gas power with CCUS will all be world firsts, transformative to the industry and playing a pivotal role in the UK's trajectory toward Net Zero. In conjunction with the Northern Endurance Partnership, the development is estimated to support and safeguard between 35% and 70% of existing manufacturing jobs in Tees Valley, with an annual gross benefit of up to £450mn for the Teesside region and the support of up to 5,500 direct jobs during construction. NZT would showcase a broad range of decarbonisation technologies and underpin the UK's Clean Growth strategy, securing green recovery, driving economic growth in regions hit by the pandemic and kickstarting a new market for CCUS.
510,160
2021-03-01 to 2024-02-29
Collaborative R&D
HyNet is one of the most advanced, low risk and cost-effective full chain hydrogen and CCUS industrial decarbonisation projects in the UK, which can transform the North West of the UK into the world's first low carbon industrial cluster by 2030\. The UK has passed legislation to deliver Net Zero emissions by 2050\. Significant progress has been made in the decarbonisation of power. However, less progress has been made in the decarbonisation of the 'hard to reach' sectors of the economy including industry, heat and heavy transport. The North West is one of the largest and most energy intensive industrial clusters in the UK, encompassing parts of North East Wales, Cheshire, Warrington, Liverpool City Region and Greater Manchester. It is home to 4 million people and generates annual industrial emissions of 6 million tonnes of CO2\. HyNet was conceived in 2016 with the objective of decarbonising the entire industrial cluster to Net Zero, directly aligning with the Industrial Clusters Mission. While industrial decarbonisation is the anchor, the project builds the infrastructure backbone for a full regional hydrogen economy. HyNet is centred in the industrial complex between Ellesmere Port and Runcorn. Bulk low carbon hydrogen production facilities will be constructed at Stanlow Refinery, providing hydrogen for industrial fuel switching, blending into the local gas network, transport and flexible power generation. A dedicated network will transport hydrogen from production to demand points and hydrogen storage assets in the Cheshire salt fields to enable supply and demand balancing. The HyNet CCUS network will provide the infrastructure to transport and store the CO2 produced as a by-product of the hydrogen production process and specific industrial sources that cannot be mitigated by fuel switching. A number of the UK's largest industrial emitters, including Stanlow Refinery, Ince Fertiliser plant and Padeswood Cement plant located in this cluster, will connect to the CCUS network. HyNet is innovative and unique in that it: * Delivers a full-chain hydrogen project, including production, distribution and storage, to decarbonise industry and to provide an infrastructure for cross-sectoral decarbonisation; * Repurposes existing oil and gas assets in Liverpool Bay for CO2 transport and storage to minimise project cost and risk. Following extensive development to date, the activities to be undertaken in this next stage will allow HyNet to enter a development programme of engineering and consenting activities which will deliver a project ready for the final investment decision.
2,940
2020-04-01 to 2020-07-31
Collaborative R&D
The UK has passed legislation to deliver Net Zero emissions by 2050. Significant progress has been, and continues to be made, in the decarbonisation of the power sector. However, very little progress has been made in the decarbonisation of the 'hard to reach' sectors of the economy such as industry, heat and heavy transport. HyNet was conceived in 2016 as a hydrogen / CCUS project to provide a decarbonisation pathway in the North West. The initial focus is on industrial decarbonisation, at the same time as building the infrastructure for the transition to a full regional hydrogen economy. The North West of the UK houses one of the largest and most mature industrial clusters in the UK. This industrial cluster is in a geographic area which includes parts of North East Wales, Cheshire, Warrington, Liverpool City Region and Greater Manchester, and generates approximately 6 million tonnes of CO2 emissions per year. This area is home to approximately 4 million people. Decarbonisation of this entire industrial cluster to net-zero levels, in line with the Industrial Clusters Mission, offers the chance to position it as a world leading clean manufacturing hub which will attract new customers and investment. The HyNet project is centred on the industrial complex on the south bank of the Mersey between Ellesmere Port and Runcorn. Bulk low carbon hydrogen production facilities will be constructed onsite at Stanlow Refinery (the HyNet Hydrogen Supply Project), providing hydrogen for industrial fuel switching, blending into the local gas distribution network, transport applications and flexible power generation. The HyNet CCUS network will provide the infrastructure to transport and store the carbon dioxide produced as a by-product of the hydrogen production process. A number of the UK's largest point source industrial emitters are located in this cluster, including Stanlow Refinery itself and will form 'anchor' customers for the CCUS transport and storage network. The CCUS network will principally use existing oil and gas assets to transport the CO2 to the Liverpool Bay fields and sequester it in depleted gas reservoirs. HyNet is one of the lowest cost, lowest risk, most deliverable CCUS projects in the UK. HyNet has been in development for over 3 years, and is now ready to enter a FEED programme of engineering and permitting activities to reach a Final Investment Decision. This project will undertake the FEED phase planning and costing activity.
58,000
2014-09-01 to 2018-02-28
BIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BEIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BEIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BEIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BEIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BEIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BEIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BEIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BEIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BEIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BEIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BEIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BEIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BEIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BEIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
58,000
2014-09-01 to 2018-02-28
BEIS-Funded Programmes
This proposal aims to develop an automated system for precise application of nitrogen (N) fertiliser and plant growth regulators (PGRs). Algorithms and software will be developed for integrating diverse forms of data from crop sensing instruments, yield maps, soil maps and soil N measurements. This will enable more accurate N fertiliser and PGR management through real-time decision making in the field, both on a field-by-field basis and on a metre-by-metre basis. Adopting this technology will improve crop productivity, increase farm profitability, maximise the efficiency with which N fertiliser and PGRs are used, and minimise pollution such as nitrate leaching and greenhouse gas (GHG) emissions. The project is highly innovative in that it seeks to develop the first technology for variably applying PGRs and it will be the first technology to successfully integrate the complete range of information sources required to reliably predict the crop’s requirement for N fertiliser.
15,000
2012-01-01 to 2015-09-30
Collaborative R&D
We aim to improve the sustainability of the high-protein co-product used for animal-feed, Dried Distillers Grains with Solubles (DDGS), by using triticale as a biofuel feedstock. As well as having a favourable amino acid profile compared with wheat, recent research shows that triticale can out-perform wheat on high-yielding land with reduced nitrogen fertiliser requirements and improved environmental credentials. Triticale has never before been used as a UK biofuel feedstock, so we will: 1) Demonstrate cost & environmental benefits of triticale over wheat across contrasting environments; 2) Evaluate grain, alcohol & DDGS quality in the lab; 3) Optimise protein output; 4) Demonstrate market utility by processing triticale in a commercial plant. This project engages the whole supply chain including breeders, agronomy & research companies and a biofuel processor.