| Feb. 13, 2024, 4:20 p.m. |
Created
43
|
[{"model": "core.projectfund", "pk": 64913, "fields": {"project": 13139, "organisation": 2, "amount": 0, "start_date": "2022-10-01", "end_date": "2025-09-30", "raw_data": 180286}}]
|
|
| Jan. 30, 2024, 4:25 p.m. |
Created
43
|
[{"model": "core.projectfund", "pk": 57742, "fields": {"project": 13139, "organisation": 2, "amount": 0, "start_date": "2022-10-01", "end_date": "2025-09-30", "raw_data": 157462}}]
|
|
| Jan. 2, 2024, 4:15 p.m. |
Created
43
|
[{"model": "core.projectfund", "pk": 50583, "fields": {"project": 13139, "organisation": 2, "amount": 0, "start_date": "2022-10-01", "end_date": "2025-09-30", "raw_data": 135261}}]
|
|
| Dec. 5, 2023, 4:24 p.m. |
Created
43
|
[{"model": "core.projectfund", "pk": 43333, "fields": {"project": 13139, "organisation": 2, "amount": 0, "start_date": "2022-09-30", "end_date": "2025-09-29", "raw_data": 103365}}]
|
|
| Nov. 27, 2023, 2:15 p.m. |
Added
35
|
{"external_links": []}
|
|
| Nov. 21, 2023, 4:40 p.m. |
Created
43
|
[{"model": "core.projectfund", "pk": 36045, "fields": {"project": 13139, "organisation": 2, "amount": 0, "start_date": "2022-09-30", "end_date": "2025-09-29", "raw_data": 68572}}]
|
|
| Nov. 21, 2023, 4:40 p.m. |
Created
41
|
[{"model": "core.projectorganisation", "pk": 106270, "fields": {"project": 13139, "organisation": 11251, "role": "LEAD_ORG"}}]
|
|
| Nov. 21, 2023, 4:40 p.m. |
Created
40
|
[{"model": "core.projectperson", "pk": 66770, "fields": {"project": 13139, "person": 14886, "role": "SUPER_PER"}}]
|
|
| Nov. 20, 2023, 2:05 p.m. |
Updated
35
|
{"title": ["", "Data-driven Infrastructure Planning for Offshore Wind Farms"], "description": ["", "\nThe UK's share of offshore wind energy has been steadily increasing in recent years; there is now 10.4 GW of installed capacity offshore (reference: UK Wind Energy Database online: (https://www.renewableuk.com/page/UKWEDhome/Wind-Energy-Statistics.htm). There are already plans for developing large-scale offshore wind farms with capacities exceeding 1 GW. There remains however a degree of uncertainty over how to best develop, maintain and operate the wind farms and their underlying connection system to achieve cost competitiveness compared to conventional generation technologies. For example, larger turbines located farther offshore are more difficult to access. Further, accessibility of offshore assets depends on weather conditions, which can have a significant impact on income and expenditure. Consequently, the operator does not always possess sufficient information to make the most cost-effective decisions relating to planning and maintaining their assets. Similar problems arise from uncertainty over long-term decisions for investment and integration of offshore wind assets. Existing modelling methods make simplifying assumptions which unfortunately lead to suboptimal solutions, especially in larger wind farms where many factors are at play. For instance, existing tools typically use two state Markov chains for failure and repair, meaning that failure and repair times are exponentially distributed. Whilst this can be a reasonable approximation for failure, repair is rarely exponentially distributed due to sometimes large and random lead times to reach the assets depending on weather conditions. Durham has experience with more accurately representing failure and repair processes and handling modelling assumptions, especially under severe uncertainty in the planning stage. The aim of this project is to develop new methods for modelling and optimising decisions involving planning and operation for larger offshore wind farms, especially when facing uncertainties in the available actionable information. We also aim to link failure and repair to the environmental conditions of the wind farm, and operational conditions of individual turbines. We expect this to improve the predictive capability of failures and repairs, including the consideration of turbine accessibility, thereby reducing costs. The outcome of this project will inform decision-making processes for years to come for efficient integration and operation of larger offshore wind farms paving the way for future developments in a more robust and cost-effective manner.\n\n"], "extra_text": ["", "\n\nPotential Impact:\nThe Aura CDT will produce offshore wind specialists with a multi-disciplinary perspective, and will equip them with key skills that are essential to meet the future sector challenges. They will be highly employable due to their training being embedded in real-world challenges with the potential to become future leaders. As such, they will drive the UK forward in offshore wind development and manufacturing. They will become ambassadors for cross-disciplinary thinking in renewables and mentors to their colleagues. With its strong industrial partnership, this CDT is ideally placed to produce high impact research papers, patents and spin-outs, with support from the Universities' dedicated business development teams. All of this will contribute to the continued strong growth of the offshore wind sector in the UK, creating more jobs and added value to the UK economy. Recent estimates suggest that, to meet national energy targets, developers need >4,000 offshore wind turbines, worth £120 billion, over the next decade. \n\nAlongside the clear benefits to the economy, this CDT will sustain and enhance the UK as a hub of expertise in this rapidly increasing area. The UK has made crucial commitments to develop low carbon energy by 2050 and this will require an estimated ~£400m UK RDI spend per year by 2032. Whilst the increase in R&D is welcome, this target will be unsustainable without the right people to support the development of alternative technologies. It is estimated that 27,000 skilled jobs, including in research, will need to be generated in the OSW sector. Of these, ~2,000 are estimated to require HE Level 7-8 qualifications. This CDT will directly answer the higher-level leadership skills shortage, enabling the UK to not only meet these targets but lead the way internationally in the renewables revolution.\n\nIndustry and policy stakeholders will benefit through-\na) Providing challenges for the students to work through which will result in solutions to pressing and long-term industry challenges\nb) Knowledge exchange with the students and the academics\nc) New lines of investigation/ revenue/ process improvement\nd) Two-way access to skills/ equipment and training\ne) A skilled, challenge focused workforce \nSociety will benefit through-\na) Offshore wind energy that is lower cost, more secure and more environmentally friendly, with a lower impact on precious marine eco-systems.\nb) Engineers with new skillsets and perspectives that can understand environmental constraints \nc) Skilled workforce who are mindful of the environmental and ethical impact\nd) Graduates that understand and value equality, diversity and inclusion\n\nThe research projects undertaken by the Aura CDT students will focus on projects with a strong impact. The 6 themes have all been chosen after extensive industrial consultation and engagement that accelerated after the formation of the wider Aura initiative in 2016. The collaborative approach which has shaped this proposal will be continued and enhanced through the life of the CDT to ensure that it remains aligned to industry priorities.\n\nThe interdisciplinary nature of the OSW industry means that there are a wide range of stakeholders including large and small companies who are active at different stages of OSW farm development. These industry players will help ensure the training and experience provided in the CDT addresses the range of challenges that the industry faces.\n\n\n"], "status": ["", "Active"]}
|
|
| Nov. 20, 2023, 2:05 p.m. |
Added
35
|
{"external_links": [52370]}
|
|
| Nov. 20, 2023, 2:05 p.m. |
Created
35
|
[{"model": "core.project", "pk": 13139, "fields": {"owner": null, "is_locked": false, "coped_id": "b39f0a77-5b5b-43e6-8f1a-72bb53eaadc6", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 68555, "created": "2023-11-20T13:49:09.244Z", "modified": "2023-11-20T13:49:09.244Z", "external_links": []}}]
|
|