SBIR Phase I: Low cost spectrometer for methane sensing

SBIR 第一阶段：用于甲烷传感的低成本光谱仪

• 批准号: 2014791
• 负责人: Anna Scott
• 金额: $ 22.2万
• 依托单位: TROPOSPHERE MONITORING INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-15 至 2021-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2014791&HistoricalAwards=false
• 关键词: SBIR; Phase; Low; cost; spectrometer

The broader impact of this Small Business Innovation Research (SBIR) Phase I project is to protect American workers and the environment from leaks of methane, the primary chemical in natural gas and landfill gas. At high concentrations, methane gas is explosive and can be harmful or fatal if inhaled. Methane leak detection is currently conducted by skilled technicians using handheld sensors, an expensive and labor-intensive process that can be unsafe. This project aims to build low-cost monitoring stations that can automate the methane leak detection process and allow remote real-time monitoring. This project will develop algorithms for low-cost monitoring hardware used in outdoor settings typical of active oil and gas fields and landfills. The research will enhance the precision and accuracy of outdoor methane leak detection while making it affordable for industry and thereby reducing methane leaks.The proposed SBIR Phase I project will advance algorithms to improve the performance of a low-cost and field-deployable spectrophotometer for methane emissions monitoring. This project will develop a field spectrometer that can operate autonomously in outdoor environments without calibration. Specifically, this project focuses on employing instrument-specific methods for accuracy and precision enhancement and for rejecting confounding effects. Classical multivariate modeling methods are improved upon with instrument-specific wavelet methods to tolerate changes in the instrument condition induced by environmental conditions. Additionally, an optimization of the speciation method is proposed to reduce confounding effects due to the presence of unknown gases and to generate a speciation quality indicator.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.

这项小型企业创新研究（SBIR）I期项目的更广泛影响是保护美国工人和环境免受甲烷的泄漏，甲烷泄漏是天然气和垃圾填埋气中的主要化学物质。 在高浓度下，甲烷气是爆炸性的，如果吸入，可能是有害的或致命的。 甲烷泄漏检测目前是由熟练的技术人员使用手持传感器进行的，手持传感器是一个昂贵且劳动密集型的过程，可能是不安全的。该项目旨在建立低成本监控站，以自动化甲烷泄漏检测过程并允许远程实时监控。该项目将开发用于典型的活性油和天然气场和垃圾填埋场的室外设置中使用的低成本监控硬件的算法。这项研究将提高室外甲烷泄漏检测的精确性和准确性，同时使其负担得起行业，从而减少甲烷泄漏。拟议的SBIR I期项目将提高算法，以提高甲烷发射的低成本和可野外的光谱光谱仪的性能。该项目将开发一个野外光谱仪，该光谱仪可以在室外环境中自动运行而无需校准。具体而言，该项目着重于采用特定于仪器的方法来提高准确性和精确性，并拒绝混淆效果。使用仪器特异性小波方法改善了经典的多元建模方法，以耐受环境条件引起的仪器条件的变化。此外，提出了对物种方法的优化，以减少由于存在未知气体而导致的混杂影响并产生物种质量指标。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准来评估的支持。