塑料废料与生物质混合的协同气化:工艺建模与多目标优化

IF 2.8 4区 工程技术 Q2 ENGINEERING, CHEMICAL
Processes Pub Date : 2024-09-05 DOI:10.3390/pr12091906
Tanawat Aentung, Yaneeporn Patcharavorachot, Wei Wu
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引用次数: 0

摘要

混合塑料/生物质共气化是一项前景广阔的环保技术,因为它可以减少大量固体废物并产生绿色氢气。通过对下拉式固定床共气化器进行工艺设计和优化,可以获得高质量的合成气。设计以实际气化炉内的实际反应区为基础,以确保结果的准确性。该方法显示:(i) 使用 Aspen Plus 中的绝热 RGibbs 模型验证了联合气化器建模;(ii) 使用冷气效率(CGE)和碳转化效率(CCE)作为指标评估联合气化器的性能;(iii) 使用多目标优化(MOO)同时优化这些指标,利用标准遗传算法(GA)结合响应面方法(RSM)确定帕累托前沿。在气化炉温度为 967.89 ℃、蒸汽与进料比为 1.40、塑料与生物质比为 74.23% 的条件下,利用与理想解决方案相似度排序技术(TOPSIS)确定了最佳条件,即 CGE 为 91.78%,CCE 为 83.77%。加入塑料可提高气化炉性能和合成气质量,显著改善 CGE 和 CCE 值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Co-Gasification of Plastic Waste Blended with Biomass: Process Modeling and Multi-Objective Optimization
Mixed plastic/biomass co-gasification stands out as a promising and environmentally friendly technology, since it reduces wide solid wastes and produces green hydrogen. High-quality syngas can be obtained by virtue of the process design and optimization of a downdraft fixed-bed co-gasifier. The design is based on the actual reaction zones within a real gasifier to ensure accurate results. The methodology shows that (i) the co-gasifier modeling is validated using the adiabatic RGibbs model in Aspen Plus, (ii) the performance of the co-gasifier is evaluated using cold-gas efficiency (CGE) and carbon conversion efficiency (CCE) as indicators, and (iii) the multi-objective optimization (MOO) is employed to optimize these indicators simultaneously, utilizing a standard genetic algorithm (GA) combined with response surface methodology (RSM) to identify the Pareto frontier. The optimal conditions, resulting in a CGE of 91.78% and a CCE of 83.77% at a gasifier temperature of 967.89 °C, a steam-to-feed ratio of 1.40, and a plastic-to-biomass ratio of 74.23%, were identified using the technique for order of preference by similarity to ideal solution (TOPSIS). The inclusion of plastics enhances gasifier performance and syngas quality, leading to significant improvements in CGE and CCE values.
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来源期刊
Processes
Processes Chemical Engineering-Bioengineering
CiteScore
5.10
自引率
11.40%
发文量
2239
审稿时长
14.11 days
期刊介绍: Processes (ISSN 2227-9717) provides an advanced forum for process related research in chemistry, biology and allied engineering fields. The journal publishes regular research papers, communications, letters, short notes and reviews. Our aim is to encourage researchers to publish their experimental, theoretical and computational results in as much detail as necessary. There is no restriction on paper length or number of figures and tables.
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