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Growth and modeling of freshwater algae as a function of media inorganic carbon content.

机译:淡水藻类的生长和建模与培养基中无机碳含量的关系。

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摘要

In response to global climate change, the Department of Energy (DOE) has specified advanced biological processes, such as cultivation of algal biomass in alkaline ponds, as part of a carbon management plan. The goal of this thesis was to investigate use of a mixed freshwater algal culture for biological carbon mitigation. Extensive review of carbonate dynamics, laboratory investigations to characterize algal growth, and development of a dynamic algal growth model were completed.;The presented literature review summarizes carbonate equilibria and kinetics needed for development of carbon mitigation technologies, especially in freshwaters. Reaction mechanisms, equilibrium relationships, kinetic rate constants, and kinetic rate laws are used to develop mass balance equations (MBEs) for species concentrations in closed systems. Several strategies for quantifying reaction-enhanced CO2 transport are presented to develop carbonate species MBEs for open systems.;Batch algal growth was analyzed in closed and open batch reactors. Specific growth rates, biomass production, and peak pH generally increase with increasing initial TIC concentration in closed and open reactors. Closed algal cultures kinetically responded to CO2, HCO3-, and CO32- concentrations (micromax = 0.0726 hr-1, KCO2 = 4.47 x 10-8, KHCO3 = 5.70 x 10-4, KCO3 = 8.70 x 10-4), which suggests employment of carbon concentrating mechanisms (CCMs). Analysis of batch growth in open reactors revealed that carbon sequestered per supplied TIC exponentially (R2 = 0.9717) decreased with increasing initial TIC.;Dynamic mathematical models aimed at predicting algal biomass and carbonate species concentrations in closed and open batch reactors were developed. The CO2/HCO3-/CO32- substitutable substrates Monod equation for predicting TIC-limited algal specific growth rates best estimated biomass concentrations in closed and open batch reactors. However, inaccuracies were observed for some water chemistry parameters. The closed batch reactor model was calibrated based on photosynthetic oxygen production and verified using data from laboratory investigations. A sensitivity analysis for the open batch reactor model suggests that photosynthetic oxygen production and biomass light attenuation coefficients should be further investigated to improve open algal growth model simulations.
机译:为了应对全球气候变化,能源部(DOE)已指定先进的生物过程,例如在碱性池塘中培养藻类生物质,作为碳管理计划的一部分。本文的目的是研究混合淡水藻类培养物用于生物减碳的用途。完成了碳酸盐动力学的广泛综述,表征藻类生长的实验室研究以及动态藻类生长模型的开发。所提交的文献综述总结了碳减缓技术发展(特别是在淡水中)所需的碳酸盐平衡和动力学。反应机制,平衡关系,动力学速率常数和动力学速率定律用于建立封闭系统中物质浓度的质量平衡方程(MBE)。提出了几种量化反应增强的CO2传输的策略,以开发用于开放系统的碳酸盐物质MBE。;在封闭式和开放式分批反应器中分析了分批藻类的生长。在封闭和开放反应器中,特定的生长速率,生物量产生和峰值pH通常随初始TIC浓度的增加而增加。封闭的藻类培养物对CO2,HCO3-和CO32-浓度有动力学响应(micromax = 0.0726 hr-1,KCO2 = 4.47 x 10-8,KHCO3 = 5.70 x 10-4,KCO3 = 8.70 x 10-4),这表明使用碳浓缩机制(CCM)。在开放式反应器中分批生长的分析表明,每个供应的TIC的固碳量随初始TIC的增加呈指数下降(R2 = 0.9717)。可预测CO2 / HCO3- / CO32-可替代的底物Monod方程用于预测TIC受限的藻类比生长速率,可以最好地估计封闭式和开放式间歇反应器中的生物量浓度。但是,观察到某些水化学参数不准确。封闭式间歇式反应器模型基于光合氧气的产生进行了校准,并使用实验室调查数据进行了验证。对开放式间歇反应器模型的敏感性分析表明,应进一步研究光合氧气的产生和生物量的光衰减系数,以改善开放式藻类生长模型的模拟。

著录项

  • 作者

    Watson, Mary Katherine.;

  • 作者单位

    Clemson University.;

  • 授予单位 Clemson University.;
  • 学科 Engineering Environmental.
  • 学位 M.S.
  • 年度 2009
  • 页码 222 p.
  • 总页数 222
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境污染及其防治;
  • 关键词

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