SBIR Phase II: Real-Time Nitrogen Sensor for Wastewater Treatment Optimization
SBIR 第二阶段:用于废水处理优化的实时氮传感器
基本信息
- 批准号:1951152
- 负责人:
- 金额:$ 75万
- 依托单位:
- 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:2020-06-01 至 2024-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact/commercial potential of this Small Business Technology Transfer Research (STTR) Phase II project will be to supply nitrogen sensors for wastewater treatment process control and automation, potentially saving $600 M per year in electric energy for the U.S. municipal wastewater treatment industry. Municipal wastewater treatment processes are based on energy-intensive aeration. Currently, the primary monitoring method is sending “grab-samples” to a lab, with delays in receiving results. By enabling real-time process control of the energy-consuming denitrification process, electric energy usage can be reduced by 20% or more. The economic impact to each municipal wastewater treatment plant is an average energy savings of $200 k per year, with less than 6 months payback, and lower operating costs while reducing/preventing out-of-control effluent events. Competing technologies for real-time nitrogen sensors are limited by poor performance, high maintenance needs, high cost, and reliability problems. The proposed new sensor offers a reliable, cost-effective, low-maintenance alternative with potential applications in direct potable reuse (DPR), and managing environmental water quality in agricultural fertilizer runoff, industrial discharge and feed-lot monitoring. The proposed system will help assure the nation’s clean water supply. In addition, as a platform technology for use in related fields, future applications include industrial sensors for real-time manufacturing process control, homeland security sensing for chemical and biological defense, and biomedical use for point-of-care diagnostics. This STTR Phase II project proposes to develop an infrared-detection sensor for real-time monitoring of nitrogen as nitrate, nitrite, and ammonia in municipal wastewater. The technology addresses strong IR attenuation in water with the first industrial-scale sensor application based on a fiber-optic evanescent wave technique, guiding mid-IR radiation from a tunable quantum-cascade laser through an IR waveguide rather than through the wastewater itself. The incorporation of an ion-exchange material as an encapsulating medium reduces interference and acts as protection against fouling. Novel control algorithms for auto-calibration enable long-term autonomous operation and ensure a reliable signal-to-noise ratio, for 24x7 real-time control of the energy-intensive aeration process. The proposed nitrogen sensor will have a wide range of sensitivity, from 0.1 ppm to 250 ppm, and can be used for other important chemical species with fingerprints in the mid-IR spectral range, such as phosphorus and organic contaminants, making it a robust tool for water quality assessment.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.
这个小型企业技术转移研究(STTR)第二阶段项目的更广泛的影响/商业潜力将是为废水处理过程控制和自动化提供氮传感器,可能每年为美国市政废水处理行业节省6亿美元的电力。城市污水处理过程是基于能源密集型曝气的。目前,监测的主要方法是将“抓取样本”送到实验室,延迟接收结果。通过实现对高耗能的脱氮过程的实时过程控制,可以减少20%或更多的电能使用。对每个城市污水处理厂的经济影响是平均每年节省200k美元的能源,回收期不到6个月,并降低运营成本,同时减少/防止失控的流出物事件。实时氮传感器的竞争技术受到性能差、维护需求高、成本高和可靠性问题的限制。建议的新型传感器提供了一种可靠、经济、低维护的替代方案,在直接饮用水再利用(DPR)以及农业化肥径流、工业排放和饲料场监测中的环境水质管理方面具有潜在的应用。拟议中的系统将有助于确保国家的清洁水供应。此外,作为在相关领域使用的平台技术,未来的应用包括用于实时制造过程控制的工业传感器,用于化学和生物防御的国土安全传感,以及用于护理点诊断的生物医学。本项目二期工程计划开发一种红外探测传感器,用于实时监测城市污水中的硝酸盐、亚硝酸盐和氨氮。该技术解决了水中的强红外衰减问题,这是第一个基于光纤逝去波技术的工业规模传感器应用,通过红外波导引导可调谐量子级联激光器的中红外辐射,而不是通过废水本身。采用离子交换材料作为封装介质可减少干扰,并起到防止污垢的作用。新的自动校准控制算法可实现长期自主运行,并确保可靠的信噪比,可全天候实时控制能源密集型曝气过程。拟议的氮传感器将具有从0.1ppm到250ppm的广泛灵敏度,并可用于指纹在中红外光谱范围内的其他重要化学物种,如磷和有机污染物,使其成为水质评估的强大工具。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Infrared sensors for environmental and biomedical applications
- DOI:10.1117/12.2583757
- 发表时间:2021-03
- 期刊:
- 影响因子:0
- 作者:J. E. Park;K. Hodges;U. Tumuluri;A. Zaki;J. C. Dussor;T. Daunis;K. Clark;D. Robbins;K. Roodenko
- 通讯作者:J. E. Park;K. Hodges;U. Tumuluri;A. Zaki;J. C. Dussor;T. Daunis;K. Clark;D. Robbins;K. Roodenko
Towards infrared photonic integrated circuits (PICs) in biochemical analysis: implementation of quantum cascade lasers (QCLs) in analysis of fluids
面向生化分析中的红外光子集成电路 (PIC):在流体分析中实施量子级联激光器 (QCL)
- DOI:10.1117/12.2615367
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Daunis, Trey B.;Dussor, Jennifer C.;Le, Bach;Hodges, Kimari;Clark, Kevin P.;Robbins, Dennis I.;Roodenko, Katy
- 通讯作者:Roodenko, Katy
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Ecatherina Roodenko Fuchs其他文献
Ecatherina Roodenko Fuchs的其他文献
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{{ truncateString('Ecatherina Roodenko Fuchs', 18)}}的其他基金
STTR Phase I: Development of low-cost optical sensor for nitrate detection in agricultural soils and environmental waters
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- 批准号:
1745730 - 财政年份:2018
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
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