AI-Driven Climate Impact Risk Assessment for Energy Infrastructure

人工智能驱动的能源基础设施气候影响风险评估

• 批准号: 10075581
• 金额: $ 5.95万
• 依托单位: DISASTER RESILIENCE SOLUTIONS LTD
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10075581
• 关键词: AI; Driven; Climate; Impact; Risk

Our project aims to transform the way financial institutions, re/insurance companies and asset managers assess climate risks for energy infrastructure by using artificial intelligence (AI) and open geospatial data. We're developing an innovative tool that combines AI with existing risk assessment approaches to better understand how climate change might affect energy infrastructure, such as the damage caused by severe weather and the potential for lost revenue due to unfavourable weather conditions. Although our initial focus is on offshore wind farms, our approach is designed to be flexible and adaptable to other energy assets like hydropower stations, solar and onshore wind farms, and tidal energy systems.What sets our project apart is the unique combination of AI technologies, satellite images, public databases, and the expertise of our collaborators. By utilising these resources, we're creating a state-of-the-art climate risk assessment tool that's more transparent, reliable, and scalable than currently available approaches. As a sign of our dedication to collaboration, we'll be sharing our models as open-source models, making them available to anyone interested, including researchers and commercial institutions.Our project is breaking new ground by using advanced AI algorithms, including transformers, and efficient ways to process large amounts of data from geospatial data from open databases such as Landsat-8 and Sentinel-2\. Our approach is designed to be flexible and adaptable to different energy sectors, which will help strengthen the UK's world-leading position in risk management of critical infrastructure. Additionally, our partners from the OS-Climate initiative will provide valuable insights to help us better understand and address climate risks for energy infrastructure.The rapidly changing climate and the need to protect energy infrastructure from extreme weather events and political instability make our project more important than ever. By proactively addressing potential climate change risks, our work will play a vital role in enhancing the resilience and sustainability of the UK's energy infrastructure.Our project is crucial for the UK's energy security and economy, especially as the country moves towards a low-carbon energy system with a greater focus on renewable energy sources like offshore wind farms. By providing a robust AI-powered tool to assess and mitigate climate-related risks, we'll be supporting the growth of the renewable energy sector while also contributing to the overall stability and sustainability of the UK's energy landscape. In doing so, our project will help build a more secure and environmentally friendly energy future for the UK and beyond.

我们的项目旨在通过使用人工智能 (AI) 和开放地理空间数据，改变金融机构、再/保险公司和资产管理公司评估能源基础设施气候风险的方式。我们正在开发一种创新工具，将人工智能与现有风险评估方法相结合，以更好地了解气候变化可能如何影响能源基础设施，例如恶劣天气造成的损害以及不利天气条件造成的潜在收入损失。尽管我们最初的重点是海上风电场，但我们的方法旨在灵活且适用于其他能源资产，如水电站、太阳能和陆上风电场以及潮汐能系统。我们的项目与众不同之处在于人工智能技术、卫星图像、公共数据库和我们合作者的专业知识的独特组合。通过利用这些资源，我们正在创建最先进的气候风险评估工具，该工具比当前可用的方法更加透明、可靠且可扩展。作为我们致力于合作的标志，我们将以开源模型的形式分享我们的模型，让任何感兴趣的人都可以使用它们，包括研究人员和商业机构。我们的项目正在通过使用先进的人工智能算法（包括变压器）和有效的方法来处理来自开放数据库（例如 Landsat-8 和 Sentinel-2\）的地理空间数据中的大量数据，从而开辟了新天地。我们的方法旨在灵活且适应不同的能源部门，这将有助于加强英国在关键基础设施风险管理方面的世界领先地位。此外，OS-Climate 计划的合作伙伴将提供宝贵的见解，帮助我们更好地了解和应对能源基础设施的气候风险。快速变化的气候以及保护能源基础设施免受极端天气事件和政治不稳定影响的需要使我们的项目比以往任何时候都更加重要。通过积极应对潜在的气候变化风险，我们的工作将在增强英国能源基础设施的弹性和可持续性方面发挥至关重要的作用。我们的项目对于英国的能源安全和经济至关重要，特别是在该国转向低碳能源系统并更加关注海上风电场等可再生能源的情况下。通过提供强大的人工智能驱动工具来评估和减轻气候相关风险，我们将支持可再生能源行业的增长，同时也为英国能源格局的整体稳定性和可持续性做出贡献。在此过程中，我们的项目将有助于为英国及其他地区打造更安全、更环保的能源未来。