Conference: CET: Accelerating integrated Seabed Characterization for clean ENergy Transition (ASCENT)

会议：CET：加速清洁能源转型的综合海底表征（ASCENT）

• 批准号: 2346179
• 负责人: Zachary Westgate
• 金额: $ 9.51万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-02-15 至 2025-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2346179&HistoricalAwards=false
• 关键词: Conference; CET; Accelerating; integrated; Seabed

This conference is in response to NSF DCL 23-108 on Conferences on Clean Energy Topics. This project aims to advance seabed assessment methods through a collaborative, international, multidisciplinary effort comprising a joint conference of experts in geosciences, civil engineering, and data science. The conference will seek to identify opportunities to mitigate supply chain constraints to achieve net zero carbon through global offshore renewables development. The conference will foster discussion among developers, consultants and contractors working as the vanguard of integrated seabed characterization to effect transformative innovation based on fundamental science, focusing on urgent regional challenges in the US while ensuring that broader knowledge advancements are globally applicable. The conference activities will spur new ideas for seabed characterization on a mass scale, lowering energy costs, reducing production and consumption of raw materials, and improving ocean space equity.The conventional time and resource-consuming deterministic process for seabed characterization is not fit for purpose given the scale of the clean energy transition. Scaling up such a transition without further contribution to climate change and harm to marine wildlife and the ocean environment requires a new approach to collection, testing, analysis, and interpretation of seabed soil data. Reducing seabed uncertainty through traditional means over the next decade will require an unprecedented volume of geophysical and geotechnical data, the sheer scale of which is well beyond the capacity of the existing global vessel fleet. Significant innovation opportunities lie with smart seabed characterization through integration of data science, geoscience and engineering, with a high potential for transformative change to develop more intelligent site characterization methods. This conference will chart a smart, energy-driven course on a pathway to net zero, influence guidelines in engineering practice and meaningful data science integration, and deliver tangible positive outcomes in ocean space equity.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

本次会议是对 NSF DCL 23-108 关于清洁能源主题会议的回应。该项目旨在通过国际合作、多学科努力推进海底评估方法，其中包括召开地球科学、土木工程和数据科学专家联合会议。会议将寻求寻找减轻供应链限制的机会，通过全球海上可再生能源开发实现净零碳。会议将促进作为综合海底表征先锋的开发商、顾问和承包商之间的讨论，以实现基于基础科学的变革性创新，重点关注美国紧迫的区域挑战，同时确保更广泛的知识进步适用于全球。会议活动将激发大规模海底表征的新想法，降低能源成本，减少原材料的生产和消耗，并改善海洋空间公平。考虑到清洁能源转型的规模，传统的耗时和资源消耗的确定性海底表征过程已不适合目的。要在不进一步加剧气候变化和损害海洋野生动物和海洋环境的情况下扩大这种转变，需要采用新的方法来收集、测试、分析和解释海底土壤数据。未来十年，通过传统手段减少海底不确定性将需要前所未有的地球物理和岩土工程数据量，其规模远远超出了现有全球船队的能力。通过数据科学、地球科学和工程学的整合，智能海底表征蕴藏着重大的创新机会，并且具有很大的变革潜力，可以开发更智能的场地表征方法。本次会议将制定一个关于实现净零排放的智能、能源驱动的课程，影响工程实践和有意义的数据科学集成的指导方针，并在海洋空间公平方面取得切实的积极成果。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。