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GOALI: Strategies for Design, Startup and Control of Field-Scale Anammox Reactors

GOALI: Strategies for Design, Startup and Control of Field-Scale Anammox Reactors
GOALI:现场规模厌氧氨氧化反应器的设计、启动和控制策略
批准号:
1066860
负责人:
Kartik Chandran
金额:
$32.02万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-04-01 至 2016-01-31

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中文摘要
翻译
PI:Kartik Chandran 提案编号:CBET-1066860 机构:哥伦比亚大学 标题:GOALI:现场规模厌氧氨氧化反应器的设计、启动和控制策略 厌氧氨氧化是一种新颖且具有成本效益的工程生物脱氮 (BNR) 策略,涉及使用亚硝酸盐作为终端电子受体将氨生物氧化为氮气。 尽管厌氧氨氧化技术相对于传统的 BNR 具有明显的优势(较低的运营成本和能源需求,较低的二氧化碳足迹),但厌氧氨氧化技术在美国的首次全面安装尚未开始。 在这个NSF GOALI项目中,PI建议通过学术研究实验室和工业界的共同努力,制定基于实验和建模的策略,以促进美国厌氧氨氧化反应器的快速启动和长期稳定运行。 本研究提出的关键研究和应用问题是“最终通过厌氧氨氧化系统实现稳定脱氮的厌氧氨氧化群落的最佳功能和结构组成是什么?” 参与该项目的学术团队来自哥伦比亚大学和丹麦技术大学。 行业合作伙伴包括纽约市环境保护局和 CH2M Hill。这个 NSF GOALI 项目代表了厌氧氨氧化在美国的首次全面系统尝试和第二次试点实施。 使用新颖的分子技术,例如群落分析和基因表达,“黑匣子”厌氧氨氧化将被打开。 分析和建模工作将有助于更好地理解“设计”的具体机制。稳定的多物种厌氧氨氧化群落。 最终,基于对介导这些途径的微生物的机理理解,该项目的结果可以帮助促进厌氧氨氧化在 BNR 中的广泛应用。这个 NSF GOALI 项目以环境可持续的方式解决减少氮污染的问题,这是美国国家工程院定义的重大工程挑战之一,预计将为纽约市和美国其他采用厌氧氨氧化的公用事业公司的脱氮计划做出重大贡献。因此,这个 NSF GOALI 项目预计会此外,该 NSF 项目将支持两种以社区为基础的学生和教师推广模式,从而对 BNR 的发展产生强大而广泛的影响。旨在加强科学教育课程的 NSF STEP 教师培训计划将于夏季在 PI 实验室举办。
英文摘要
PI: Kartik ChandranProposal Number: CBET-1066860Institution: Columbia UniversityTitle: GOALI: Strategies for Design, Startup and Control of Field-Scale Anammox Reactors Anammox is a novel and cost effective strategy for engineered biological nitrogen removal (BNR), which involves the biological oxidation of ammonia to nitrogen gas using nitrite as the terminal electron acceptor. Despite the well documented advantages of anammox over conventional BNR (lower operating cost and energy requirements, lower CO2 footprint), the first full-scale installation of anammox in the United States has yet to start. In this NSF GOALI project, the PI proposes to develop experimental and modeling based strategies to promote rapid startup and long-term stable operation of anammox reactors in the United States through a concerted collaborative effort between academic research labs and industry. The critical research and application question posed by this study is ?what is the optimal functional and structural composition of anammox communities that ultimately results in stable N-removal via anammox systems?? The academic teams involved in this project are from Columbia University and the Technical University of Denmark. Industry partners are the New York City Department of Environmental Protection and CH2M Hill.This NSF GOALI project represents one of the first systematic attempts at full-scale and the second pilot-scale implementation of anammox in the United States. Using novel molecular techniques such as community profiling and gene expression, the ?black-box? of anammox will be opened. The analytical and modeling effort will lead to a better understanding of the specific mechanisms by which to ?engineer? stable multi-species anammox communities. Ultimately, the results of this project can help to promote widespread adaptation of anammox for BNR, based on a mechanistic understanding of the microbes that mediate these pathways.This NSF GOALI project addresses reducing nitrogenous pollution in an environmentally sustainable fashion", one of the grand engineering challenges defined by the NationalAcademy of Engineering and is expected to contribute significantly to the nitrogen removal program of New York City and additional utilities in the United States that adopt anammox. Therefore, this NSF GOALI project is expected to have a strong and wide impact on developing the practice of anammox for BNR. In addition, this NSF project will support two modes of community based outreach to students and teachers. First, the PI will integrate his research into high school education in FDA, a minority oriented school in Harlem, NY through the existing CTICE K-12 program. Adding such novel dimensions to existing educational models is expected to complement the ongoing social and economic rejuvenation of Harlem by improvements to secondary education. Second, high-school science teacher participants in the NSF STEP Teacher Training Program, aimed at enabling curricular enhancements in science education will be hosted in the PI?s laboratory during the summer.
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis