SBIR Phase I: Novel Process Technology for Point-of-Generation Nitrogen Removal from Wastewater

SBIR 第一阶段:从废水中产生点脱氮的新型工艺技术

基本信息

  • 批准号:
    1621647
  • 负责人:
  • 金额:
    $ 22.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2016
  • 资助国家:
    美国
  • 起止时间:
    2016-07-01 至 2018-06-30
  • 项目状态:
    已结题

项目摘要

The broader impact/commercial potential of this Small Business Innovation Research Phase I project is to address the grand challenge of human-induced nitrogen loading to the environment. An easy-to-use and affordable system will target a major source of nitrogen releases to watersheds: the on-site systems that treat wastewater from millions of households and commercial facilities across the U.S. The need to mitigate harmful algal blooms and prevent other damaging cumulative effects to aquatic ecosystems have created an urgent demand for onsite technologies that remove nitrogen at its source. The proposed nitrogen removal technology is modular and adaptable for use in small-scale systems that treat wastewater from individual homes, community systems and commercial establishments. The project employs an innovative biological nitrogen removal process that that will be verified and optimized for high priority applications in rural, peri-urban, and urban settings. The system is mechanically simple, generates no waste products, and operates passively with minimal maintenance, energy or consumables. The results from this project will help to solve the critical challenge of nitrogen control by providing a highly efficient, low-cost, commercializable system that is practicable for on-site wastewater treatment in new and retrofit systems.The technical objectives of this Phase I research project are to design, construct, field-test, and critically evaluate variant prototypes of an innovative bioreactor system to remove nitrogen from onsite wastewater. Prototype bioreactors will be operated and monitored over multiple months to investigate their salient operational characteristics and define effective design and treatment regimes. The bioreactors will be installed to treat real household wastewater under field conditions. Nitrogen analytes will be monitored across the bioreactor systems to delineate the effects of biotreatment on four nitrogen species: organic nitrogen, ammonium, nitrate and nitrite. The effects of the biotreatment system on chemical and biochemical oxygen demand, inorganic chemical parameters, and other wastewater constituents of interest will also be elucidated. The project will critically evaluate the effectiveness of total nitrogen removal and the stability and resiliency of individual nitrogen removal transformations. The work will confirm the longevity and robustness of the nitrogen removal process and identify design and operating parameters that optimize an innovative approach to remove total nitrogen from on-site wastewater while mitigating nitrogen releases to the environment. Prototype design and monitoring will facilitate scale-up of results to full-scale biotreatment systems.
这个小企业创新研究第一阶段项目的更广泛的影响/商业潜力是解决人类引起的氮负荷对环境的巨大挑战。一个易于使用和负担得起的系统将针对氮排放到流域的主要来源:处理来自美国数百万家庭和商业设施的废水的现场系统。拟议的脱氮技术是模块化的,适用于处理个人家庭、社区系统和商业机构废水的小规模系统。该项目采用了一种创新的生物脱氮工艺,该工艺将在农村、城郊和城市环境中进行验证和优化,以实现高优先级应用。该系统机械简单,不产生废物,并且以最少的维护、能源或消耗品被动地运行。 该项目的成果将有助于解决氮控制的关键挑战,提供一个高效,低成本,可商业化的系统,适用于新的和改造系统中的现场废水处理。该项目第一阶段研究项目的技术目标是设计,建造,现场测试和严格评估创新生物反应器系统的变体原型,以去除现场废水中的氮。 原型生物反应器将在多个月内运行和监测,以研究其显著的运行特征,并确定有效的设计和处理方案。 将安装生物反应器,在现场条件下处理真实的家庭废水。 氮分析物将在整个生物反应器系统中进行监测,以描述生物处理对四种氮物质的影响:有机氮,铵,硝酸盐和亚硝酸盐。 生物处理系统对化学和生化需氧量,无机化学参数和其他感兴趣的废水成分的影响也将得到阐明。 该项目将严格评估总氮去除的有效性以及单个氮去除转型的稳定性和弹性。 这项工作将确认脱氮工艺的寿命和稳健性,并确定优化创新方法的设计和操作参数,以从现场废水中去除总氮,同时减少氮向环境的释放。 原型设计和监测将有助于将结果扩大到全面的生物处理系统。

项目成果

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Daniel Smith其他文献

Deep Learning Based Event Reconstruction for the IceCube-Gen2 Radio Detector
IceCube-Gen2 无线电探测器基于深度学习的事件重建
  • DOI:
    10.22323/1.444.1102
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    C. Glaser;N. Heyer;T. Glusenkamp;R. Abbasi;M. Ackermann;J. Adams;S. Agarwalla;J. Aguilar;M. Ahlers;J. Alameddine;N. M. Amin;K. Andeen;G. Anton;C. Argüelles;Y. Ashida;S. Athanasiadou;J. Audehm;S. Axani;X. Bai;A. Balagopal V.;M. Baricevic;S. Barwick;V. Basu;R. Bay;J. Becker Tjus;J. Beise;C. Bellenghi;C. Benning;S. BenZvi;D. Berley;E. Bernardini;D. Besson;Abigail C. Bishop;E. Blaufuss;S. Blot;M. Bohmer;F. Bontempo;J. Book;J. Borowka;C. Boscolo Meneguolo;S. Boser;O. Botner;J. Bottcher;S. Bouma;E. Bourbeau;J. Braun;B. Brinson;J. Brostean;R. Burley;R. Busse;D. Butterfield;M. Campana;K. Carloni;E. Carnie;M. Cataldo;S. Chattopadhyay;Thien Nhan Chau;Chujie Chen;Zheyang Chen;D. Chirkin;Seowon Choi;B. Clark;R. Clark;L. Classen;Alan Coleman;G. Collin;Janet M. Conrad;D. Cowen;B. Dasgupta;P. Dave;C. Deaconu;C. De Clercq;S. de Kockere;J. DeLaunay;D. Delgado López;Shuya Deng;K. Deoskar;A. Desai;P. Desiati;Krijn de Vries;G. de Wasseige;T. DeYoung;A. Diaz;J. C. Díaz;M. Dittmer;A. Domi;H. Dujmovic;M. DuVernois;T. Ehrhardt;P. Eller;E. Ellinger;S. El Mentawi;D. Elsässer;R. Engel;H. Erpenbeck;J. Evans;J. Evans;P. Evenson;K. L. Fan;K. Fang;K. Farrag;A. Fazely;A. Fedynitch;N. Feigl;S. Fiedlschuster;C. Finley;L. Fischer;B. Flaggs;D. Fox;A. Franckowiak;A. Fritz;T. Fujii;P. Furst;J. Gallagher;E. Ganster;Alfonso Garcia;L. Gerhardt;R. Gernhaeuser;A. Ghadimi;P. Giri;T. Glauch;N. Goehlke;S. Goswami;Darren Grant;S. Gray;O. Gries;Sean T. Griffin;S. Griswold;D. Guevel;C. Günther;P. Gutjahr;C. Haack;Tara Haji Azim;A. Hallgren;R. Halliday;S. Hallmann;L. Halve;F. Halzen;H. Hamdaoui;M. Ha Minh;K. Hanson;J. Hardin;A. Harnisch;P. Hatch;J. Haugen;A. Haungs;D. Heinen;K. Helbing;J. Hellrung;B. Hendricks;F. Henningsen;J. Henrichs;L. Heuermann;S. Hickford;A. Hidvégi;J. Hignight;C. Hill;G. Hill;K. Hoffman;Benjamin Hoffmann;Killian Holzapfel;S. Hori;K. Hoshina;Wenjie Hou;T. Huber;T. Huege;K. Hughes;K. Hultqvist;Mirco Hünnefeld;R. Hussain;K. Hymon;S. In;A. Ishihara;M. Jacquart;O. Janik;M. Jansson;G. Japaridze;M. Jeong;M. Jin;B. Jones;O. Kalekin;D. Kang;W. Kang;X. Kang;A. Kappes;D. Kappesser;L. Kardum;T. Karg;M. Karl;A. Karle;T. Katori;U. Katz;M. Kauer;J. Kelley;A. Khatee Zathul;A. Kheirandish;J. Kiryluk;S. Klein;Takurou Kobayashi;A. Kochocki;H. Kolanoski;T. Kontrimas;L. Kopke;C. Kopper;J. Koskinen;P. Koundal;M. Kovacevich;M. Kowalski;T. Kozynets;Carsten B. Krauss;I. Kravchenko;K. Jayakumar;E. Krupczak;Anil Kumar;E. Kun;N. K. Neilson;N. Lad;C. Lagunas Gualda;M. Larson;S. Latseva;F. Lauber;J. Lazar;Jiwoong Lee;K. Leonard DeHolton;A. Leszczyńska;M. Lincetto;Qinrui Liu;M. Liubarska;M. Lohan;E. Lohfink;J. LoSecco;C. Love;C. J. Lozano Mariscal;Lu Lu;F. Lucarelli;Y. Lyu;J. Madsen;K. Mahn;Y. Makino;S. Mancina;S. Mandalia;W. Marie Sainte;I. Mariş;S. Márka;Z. Márka;M. Marsee;I. Martinez;R. Maruyama;F. Mayhew;T. McElroy;F. McNally;J. V. Mead;K. Meagher;S. Mechbal;A. Medina;M. Meier;Y. Merckx;L. Merten;Zackary Meyers;J. Micallef;M. Mikhailova;J. Mitchell;T. Montaruli;R. Moore;Y. Morii;Bob Morse;M. Moulai;T. Mukherjee;R. Naab;R. Nagai;M. Nakos;A. Narayan;U. Naumann;J. Necker;A. Negi;A. Nelles;M. Neumann;H. Niederhausen;M. Nisa;A. Noell;A. Novikov;S. Nowicki;A. Nozdrina;E. Oberla;A. Pollmann;V. O'Dell;M. Oehler;B. Oeyen;A. Olivas;R. Orsoe;J. Osborn;E. O’Sullivan;L. Papp;N. Park;G. Parker;E. Paudel;L. Paul;C. Pérez de los Heros;T. Petersen;Josh Peterson;S. Philippen;S. Pieper;J. Pinfold;A. Pizzuto;I. Plaisier;M. Plum;A. Ponten;Yuriy Popovych;M. Prado Rodriguez;B. Pries;R. Procter;G. Przybylski;L. Pyras;J. Rack;M. Rameez;K. Rawlins;Z. Rechav;A. Rehman;P. Reichherzer;G. Renzi;E. Resconi;S. Reusch;W. Rhode;B. Riedel;M. Riegel;A. Rifaie;E. Roberts;S. Robertson;S. Rodan;G. Roellinghoff;M. Rongen;C. Rott;T. Ruhe;D. Ryckbosch;I. Safa;J. Saffer;D. Salazar;P. Sampathkumar;S. Sanchez Herrera;A. Sandrock;P. Sandstrom;M. Santander;S. Sarkar;S. Sarkar;J. Savelberg;P. Savina;M. Schaufel;H. Schieler;Sebastian Schindler;L. Schlickmann;B. Schlüter;F. Schlüter;N. Schmeisser;T. Schmidt;J. Schneider;F. Schröder;L. Schumacher;G. Schwefer;S. Sclafani;D. Seckel;M. Seikh;S. Seunarine;M. Shaevitz;R. Shah;Ankur Sharma;S. Shefali;N. Shimizu;Manuel Silva;B. Skrzypek;Daniel Smith;B. Smithers;R. Snihur;J. Soedingrekso;A. Søgaard;D. Soldin;P. Soldin;G. Sommani;D. Southall;C. Spannfellner;G. Spiczak;C. Spiering;M. Stamatikos;T. Stanev;T. Stezelberger;J. Stoffels;T. Sturwald;T. Stuttard;G. Sullivan;I. Taboada;A. Taketa;Hiroyuki Tanaka;S. Ter;M. Thiesmeyer;W. Thompson;J. Thwaites;S. Tilav;K. Tollefson;C. Tönnis;J. Torres;S. Toscano;D. Tosi;A. Trettin;Y. Tsunesada;C. Tung;R. Turcotte;J. P. Twagirayezu;B. Ty;M. U. Unland Elorrieta;A. Upadhyay;K. Upshaw;N. Valtonen;J. Vandenbroucke;N. van Eijndhoven;D. Vannerom;J. van Santen;J. Vara;D. Veberič;J. Veitch;M. Venugopal;S. Verpoest;A. Vieregg;A. Vijai;C. Walck;Chris Weaver;P. Weigel;A. Weindl;J. Weldert;C. Welling;Chris K. Wendt;J. Werthebach;M. Weyrauch;N. Whitehorn;C. Wiebusch;N. Willey;Dawn R. Williams;S. Wissel;L. Witthaus;Annika Wolf;M. Wolf;G. Worner;G. Wrede;S. Wren;Xianwu Xu;J. Yáñez;E. Yildizci;S. Yoshida;R. Young;Felix J. Yu;Shiqi Yu;T. Yuan;Zelong Zhang;P. Zhelnin;S. Zierke;M. Zimmerman
  • 通讯作者:
    M. Zimmerman
Estimation of Binary Markov Random Fields Using Markov chain Monte Carlo
使用马尔可夫链蒙特卡罗估计二元马尔可夫随机场
Aberystwyth University Draft Genome Assemblies of Xylose-Utilizing Candida tropicalis and Candida boidinii with Potential Application in Biochemical and Biofuel Production
阿伯里斯特威斯大学利用木糖的热带假丝酵母和博伊丁假丝酵母的基因组组装草案在生物化学和生物燃料生产中的潜在应用
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ab Smith;D. Hegarty;Matthew Fernandez;N. Ravella;A. Somani;Daniel Smith;M. Hegarty;N. Fernández;S. Ravella;J. Gallagher;David N. Bryanta
  • 通讯作者:
    David N. Bryanta
A Formula Goes to Court : Partisan Gerrymandering and the Efficiency Gap
公式告上法庭:党派选区划分与效率差距
  • DOI:
    10.1029/2006wr004954
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    5.4
  • 作者:
    Daniel Smith
  • 通讯作者:
    Daniel Smith
Transfusion‐related acute lung injury: A thrombotic thrombocytopenic purpura treatment‐associated case report and concise review
输血相关急性肺损伤:血栓性血小板减少性紫癜治疗相关病例报告及简述
  • DOI:
    10.1002/jca.20158
  • 发表时间:
    2008
  • 期刊:
  • 影响因子:
    1.5
  • 作者:
    Julie Cruz;E. Skipworth;Deborah E. Blue;D. Waxman;L. Mccarthy;Daniel Smith
  • 通讯作者:
    Daniel Smith

Daniel Smith的其他文献

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{{ truncateString('Daniel Smith', 18)}}的其他基金

UKRI FCDO Senior Research Fellowships (Non-ODA): Critical minerals and supply chains
UKRI FCDO 高级研究奖学金(非官方发展援助):关键矿产和供应链
  • 批准号:
    EP/Y033183/1
  • 财政年份:
    2024
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Research Grant
Hub for Metabolic Psychiatry
代谢精神病学中心
  • 批准号:
    MR/Z503563/1
  • 财政年份:
    2024
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Research Grant
Mental Health and Circadian Science Network
心理健康和昼夜节律科学网络
  • 批准号:
    MR/X009726/1
  • 财政年份:
    2023
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Research Grant
Cross-disciplinary research for Discovery Science
发现科学的跨学科研究
  • 批准号:
    NE/X018415/1
  • 财政年份:
    2022
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Research Grant
Glasgow Application for a Mental Health Data Pathfinder award
格拉斯哥申请心理健康数据探路者奖
  • 批准号:
    MC_PC_17217
  • 财政年份:
    2018
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Intramural
From arc magmas to ores (FAMOS): A mineral systems approach
从弧岩浆到矿石 (FAMOS):矿物系统方法
  • 批准号:
    NE/P017053/1
  • 财政年份:
    2017
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Research Grant
Control of Attention by the Motor System: A Motor Bias Theory of Attention
运动系统对注意力的控制:注意力的运动偏差理论
  • 批准号:
    ES/N018842/1
  • 财政年份:
    2016
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Research Grant
Tellurium and Selenium Cycling and Supply
碲和硒的循环和供应
  • 批准号:
    NE/M010848/1
  • 财政年份:
    2015
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Research Grant
Processes governing semi-metal - PGE linkage in crustal magmatic systems: opportunities for discovery and recovery
地壳岩浆系统中半金属-PGE连接的控制过程:发现和回收的机会
  • 批准号:
    NE/L002191/1
  • 财政年份:
    2013
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Research Grant
How does the eye-movement system mediate the formation, retention and recall of visuospatial working memories?
眼动系统如何介导视觉空间工作记忆的形成、保留和回忆?
  • 批准号:
    ES/I032118/1
  • 财政年份:
    2011
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Research Grant

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Baryogenesis, Dark Matter and Nanohertz Gravitational Waves from a Dark Supercooled Phase Transition
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    61675216
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    23.0 万元
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D-Phase准晶体的电子行为各向异性的研究
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    6.4 万元
  • 项目类别:
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    Standard Grant
SBIR Phase I: Universal Crystal Growth Capsule and Novel Wafer Dicing Tool for In-Space Manufacturing
SBIR 第一阶段:用于太空制造的通用晶体生长舱和新型晶圆切割工具
  • 批准号:
    2419346
  • 财政年份:
    2024
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Standard Grant
SBIR Phase I: Optimizing Composition of Novel Molten Alkali Metal Borates for Carbon Dioxide Capture
SBIR 第一阶段:优化用于二氧化碳捕获的新型熔融碱金属硼酸盐的成分
  • 批准号:
    2332658
  • 财政年份:
    2024
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Standard Grant
SBIR Phase II: Novel progesterone biosensor for monitoring fertility health
SBIR II 期:用于监测生育健康的新型黄体酮生物传感器
  • 批准号:
    2341568
  • 财政年份:
    2024
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Cooperative Agreement
SBIR Phase II: Novel size-changing, gadolinium-free contrast agent for magnetic resonance angiography
SBIR II 期:用于磁共振血管造影的新型尺寸变化、无钆造影剂
  • 批准号:
    2322379
  • 财政年份:
    2023
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Cooperative Agreement
SBIR Phase I: A Novel Carbon-Sequestering Biomaterial for Dropped Ceiling Tiles
SBIR 第一阶段:用于吊顶瓷砖的新型碳封存生物材料
  • 批准号:
    2304384
  • 财政年份:
    2023
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Standard Grant
SBIR Phase I: Development of novel artificial intelligence (AI)-enabled, non-invasive, heart attack diagnostics
SBIR 第一阶段:开发新型人工智能 (AI) 支持的非侵入性心脏病诊断
  • 批准号:
    2208248
  • 财政年份:
    2023
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Standard Grant
SBIR Phase II: Using a novel RNA therapy to immunize trees and vines against deadly bacteria
SBIR II 期:使用新型 RNA 疗法使树木和藤蔓免受致命细菌的侵害
  • 批准号:
    2223139
  • 财政年份:
    2023
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Cooperative Agreement
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