NSF Convergence Accelerator (L): Innovative approach to monitor methane emissions from livestock using an advanced gravimetric microsensor.

NSF Convergence Accelerator (L)：使用先进的重力微传感器监测牲畜甲烷排放的创新方法。

• 批准号: 2344426
• 负责人: Stephen Archer
• 金额: $ 65万
• 依托单位: Bigelow Laboratory for Ocean Sciences
• 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: 2024-01-15 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2344426&HistoricalAwards=false
• 关键词: NSF; Convergence; Accelerator; Innovative; approach

The lifetime of methane in the atmosphere is relatively short compared to other major greenhouse gases; hence, reducing its emission represents a rapid option for slowing down global warming. Methane production from dairy and beef cattle is a considerable component of anthropogenic emissions and multiple on-farm strategies, including feed-additives, are being developed to reduce this source. The project aims to apply novel microsensor technology to quantify the emission of methane from individual cows. When linked to custom-designed information technology systems, this will allow estimation of methane emissions at the whole-herd scale. This will enable farmers to monitor and validate the effectiveness of methane-reduction approaches and provide the information required to access to carbon credit markets, an essential economic incentive for adoption of the emission-reduction approaches. Effective mitigation of methane emissions from agriculture, will benefit society as a whole by attenuating global warming.Through an expanding partnership of complementary expertise, the project aims to progress the development of a functional, robust, ear-tag mounted, methane microsensor that is sufficiently sensitive and selective to quantify concentrations in the vicinity of a cow’s muzzle, where most enteric methane is emitted. Preliminary trials on a working dairy farm are aimed at optimizing sensor deployment times, data recovery and interpretation strategies and to validate the measurements through intercomparison with established, scientific instrumentation. Additional partnerships will be established to design and implement data processing and interpretation systems that integrate with existing ‘smart agriculture’ technology. Initial engagement with experts in carbon accounting will be consolidated during the second phase of the project to establish methodologies that effectively utilize the microsensor technology as the basis for farm-specific emissions reduction quantification. The overarching goal is to transition an innovative microsensor technology from prototype to commercial readiness for application in the dairy and beef industries and integration in carbon credit market practices; with the intention that it will be an integral tool in the validation and promotion of mitigation strategies aimed at reducing enteric methane emissions.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.

与其他主要温室气体相比，甲烷在大气中的寿命相对较短；因此，减少其排放是减缓全球变暖的一个快速选择，奶牛和肉牛产生的甲烷是人为排放和多重排放的重要组成部分。正在制定包括饲料添加剂在内的农场策略，以减少这一来源。该项目旨在应用新型微传感器技术来量化个体奶牛的甲烷排放量，当与定制设计的信息技术系统相连接时，这将能够估算出甲烷的排放量。这将使农民能够监测和验证甲烷减排方法的有效性，并提供进入碳信用市场所需的信息，这是采用减排方法的重要经济激励措施。减少农业甲烷排放，将通过减缓全球变暖造福整个社会。通过扩大互补专业知识的合作伙伴关系，该项目旨在推进功能性、坚固性、耳标安装、足够灵敏的甲烷微传感器的开发并有选择地量化奶牛口鼻附近的浓度，在奶牛场中进行的初步试验旨在优化传感器部署时间、数据恢复和解释策略，并通过与已建立的数据进行比较来验证测量结果。将建立更多的合作伙伴关系，以设计和实施与现有“智能农业”技术相结合的数据处理和解释系统，并将在该项目的第二阶段加强与碳核算专家的初步接触。有效利用微传感器技术作为特定农场减排量化基础的方法论，总体目标是将创新的微传感器技术从原型转变为商业准备，以应用于乳制品和牛肉行业，并融入碳信用市场实践；其目的是使其成为验证和促进旨在减少肠道甲烷排放的缓解策略的不可或缺的工具。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查进行评估，被认为值得支持标准。