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相关概念视频

Bioremediation00:46

Bioremediation

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Bioremediation is the use of prokaryotes, fungi, or plants to remove pollutants from the environment. This process has been used to remove harmful toxins in groundwater as a byproduct of agricultural run-off and also to clean up oil spills.
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Bioreactor Design and Operational System01:29

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Bioreactors are engineered vessels designed to cultivate microorganisms under controlled conditions for industrial bioprocessing. They maintain sterility and allow precise regulation of pH, temperature, oxygen, and nutrient levels to optimize microbial growth and metabolite production. Bioreactors range from small laboratory units of 1 liter to industrial systems holding up to 500,000 liters, though only about 75% of their volume is actively used for fermentation. The remaining headspace...
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Bioreactor Controls-III01:22

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Strain improvement is a foundational strategy in industrial microbiology aimed at maximizing microbial productivity, particularly because natural isolates typically yield commercially valuable products in very low concentrations. Although optimizing the culture medium and environmental conditions can improve yields, these adjustments are inherently limited by the organism’s genetic potential. As a result, the focus shifts toward genetic modifications to enhance biosynthetic capacity. The...
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Designing Growth Media for Bioreactors01:30

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Growth media provide essential nutrients that support cell growth and metabolism, thereby enhancing the yield of valuable products such as enzymes, antibiotics, and biomass. Designing an effective growth medium involves balancing all components to prevent nutrient limitations or toxic excesses, both of which can impair growth and reduce product yields.Composition of a Typical Growth MediumA typical growth medium contains carbon and nitrogen sources, salts, vitamins, trace elements, and...
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Biopesticides offer a sustainable alternative to chemical pesticides, utilizing microbial agents to control agricultural pests. Bacillus thuringiensis (Bt) is a widely employed bacterium known for its potent insecticidal activity. Bt biopesticides are favored for their specificity to insect pests, minimal environmental impact, and natural degradability.Mechanism of Bt Toxin Action Bt produces insecticidal crystal (Cry) proteins during its sporulation phase. These proteins form parasporal...
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The microbial conversion of organic matter into biofuels holds potential as a renewable energy source. Among biofuel sources, microalgae are recognized as a highly efficient and adaptable feedstock for biodiesel production, owing to their rapid biomass accumulation, elevated lipid productivity, and capacity to proliferate in diverse aquatic systems, including freshwater, marine, and wastewater habitats. Unlike terrestrial crops, microalgae do not compete for land and can achieve significantly...
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Continuously-stirred Anaerobic Digester to Convert Organic Wastes into Biogas: System Setup and Basic Operation
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通过NJWTP的创新数据驱动建模和优化方法来提高沼气生产.

Jingsong Duan1,2,3, Guohua Cao4,5, Guoqing Ma1,3,6,7

  • 1School of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun, 130022, Jilin, China.

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概括

一个新的深度信念网络与增强的鱼优化算法 (DBN-BOOA) 显著提高了废水中的沼气生产. 这种数据驱动的方法优化了操作参数,以增加能量回收和减少污泥.

关键词:
无氧消化消化无氧消化生气生产生物气的生产.增强的 Osprey 优化算法 (BOOA)数据驱动的建模.深度信念网络 (DBN) 是一个深度信念网络.运营商MWTP运营商MWTP运营商优化方法优化方法.废物转化为能源的转化.

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科学领域:

  • 环境工程 环境工程
  • 生物技术是生物技术.
  • 数据科学数据科学数据科学

背景情况:

  • 污水处理厂 (WWTP) 产生大量的污泥,这带来了处理挑战和能源回收的机会.
  • 无氧消化是将有机废物转化为可再生能源生物气的关键过程.
  • 优化无氧消化需要复杂的建模来管理复杂的生物和操作变量.

研究的目的:

  • 开发和评估数据驱动的模型,通过废水污泥的无氧消化来增强生物气生产.
  • 为了比较深信网络 (DBN),DBN与 Osprey优化算法 (DBN-OOA) 的性能,以及DBN与增强 Osprey优化算法 (DBN-BOOA) 的性能.
  • 确定最佳的操作参数,以最大限度地提高生物气产量并最大限度地减少污泥产量.

主要方法:

  • 在2016年至2018年期间从南京江南污水处理厂 (NJWTP) 收集了180个数据点.
  • 开发并比较了三个机器学习模型:DBN,DBN-OOA和DBN-BOOA.
  • 使用统计指标,包括相关系数 (R),根平均平方误差 (RMSE) 和一致指数 (IA) 来进行模型评估.

主要成果:

  • 该DBN-BOOA模型实现了优越的性能,R=0.98,RMSE=0.41 m3/min,和IA=0.99.
  • 在准确性和优化方面,DBN-BOOA显著优于独立的DBN和DBN-OOA模型.
  • 确定了导致最大生物气产量为31.35 m3/min.的最佳参数.

结论:

  • DBN-BOOA模型提供了一种高度准确和高效的方法来优化无氧消化和生物气生产.
  • 这种数据驱动的方法不需要输入变量的预处理,这使得它适用于现实世界的应用.
  • DBN-BOOA模型为废水处理厂运营商提供了一个用户友好的解决方案,以提高生物气产量和有效地管理污泥.