混合预测驱动的高通量可持续性选,以推进废物转化为二甲基乙烯的价值化
Daniel Fozer1, Philippe Nimmegeers2,3, Andras Jozsef Toth4
1Department of Environmental and Resource Engineering, Quantitative Sustainability Assessment, Technical University of Denmark, Bygningstorvet, Building 115, DK-2800 Kgs. Lyngby, Denmark.
Environmental science & technology
|August 29, 2023
概括
本研究引入了一种混合预测方法,以评估废物转化为二甲基乙烯 (DME) 生产的气候潜力. 它确定了从城市废物和污水污泥中可持续合成DME的最佳配置.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 环境科学 环境科学
- 可持续性科学 可持续性科学
背景情况:
- 评估新型化学品生产的可持续性是具有挑战性的,原因是大量的工艺选择和缺乏高通量选.
- 开发可持续的废物利用方法对于气候保护至关重要.
研究的目的:
- 提出一个数据驱动的混合预测框架 (ANN-RSM-DOM),以简化废物到二甲基乙烯 (DME) 的回收利用.
- 通过城市固体废物 (OFMSW) 和污水污泥 (SS) 的有机分量来确定可持续和成本有效的生物炼油厂配置.
主要方法:
- 人工神经网络 (ANN) 的开发,用于在体废物回收利用和前期建模.
- 使用Aspen Plus过程流量设定,响应表面方法 (RSM) 和可取性优化方法 (DOM) 进行分析.
- 以数据驱动的混合预测为可持续性预先选的连续应用.
主要成果:
- 确定了基于DME合成的元素组成的有针对性的废物选择的重要性.
- 揭示了实现气候效益的工厂配置 (-1.241至-2.128公斤CO2-eq/公斤DME) 和低生产成本 (0.382至0.492欧元/公斤DME).
- 证明了框架能够选低技术准备水平的过程.
结论:
- 混合预测促进了早期过程合成和复杂过程单元的设计.
- 能够同时分析可持续化学生产的定性和定量变量.
- 支持不成熟的化学生产技术的高通量可持续性选.
更多相关视频
11:31High-throughput Screening of Recalcitrance Variations in Lignocellulosic Biomass: Total Lignin, Lignin Monomers, and Enzymatic Sugar Release
Published on: September 15, 2015
10.0K
06:11Author Spotlight: Advancing Anaerobic Microbiota Research Using a Novel Respirometry Protocol
Published on: April 26, 2024
1.3K
相关概念视频
01:26Microbial Bioremediation of Hydrocarbons
Bioremediation is an environmentally sustainable process that employs living organisms—primarily microorganisms—to degrade or neutralize pollutants from contaminated environments. In oil spills and hydrocarbon pollution, bioremediation involves the use of hydrocarbon-degrading bacteria to transform toxic compounds into less harmful substances. This approach leverages natural microbial metabolic processes and is considered both cost-effective and ecologically favorable compared to physical or...
01:30Microbial Wastewater Treatment
Microbial communities in aquatic ecosystems play a key role in the natural breakdown of contaminants introduced through domestic and industrial effluents. Acting as biological catalysts, these microbes change and mineralize a wide range of organic and inorganic pollutants under different redox conditions.In oxygen-rich surface waters, aerobic heterotrophs lead organic matter breakdown, using oxygen as the terminal electron acceptor to efficiently oxidize substrates to carbon dioxide and water.
01:27Production of Alcohol
Continuous fermentation is a key strategy in industrial ethanol production, particularly when efficiency, scalability, and high yields are essential. This approach allows for uninterrupted operation and optimized resource utilization. The primary feedstock, corn starch, undergoes enzymatic hydrolysis facilitated by α-amylase and glucoamylase. These enzymes break down the starch into fermentable sugars such as glucose, which are readily assimilated by fermentative microorganisms.Fermentation...
01:25Biofuels
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...
01:28Microbial Bioremediation of Plastics
Polyethylene terephthalate (PET) is a synthetic polymer widely utilized in the packaging industry, particularly for bottles and containers. Due to its chemical stability and durability, PET accumulates in the environment, contributing significantly to plastic pollution. It comprises repeating units of terephthalic acid and ethylene glycol, resulting in a semi-crystalline structure that is resistant to natural degradation processes.A notable breakthrough in plastic biodegradation came with the...