通过从城市固体废物中回收的聚烯的热解来生产柴油油
Ruming Pan1, Flávio Lopes Francisco Bittencourt2,3, Marcio Ferreira Martins2
1School of Energy Science and Engineering, Harbin Institute of Technology, Harbin, 150001, China.
概括
塑料废物热解产生有价值的燃料. 这项研究使用人工神经网络和遗传算法优化了聚烯烯溶解,实现了高石油产量和柴油选择性.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 材料科学 材料科学 材料科学
- 环境科学 环境科学
背景情况:
- 塑料废物,特别是聚烯,对环境构成重大挑战.
- 热解提供了一个可持续的途径,用于塑料废弃物的回收利用为燃料和化学品.
- 优化热解条件对于最大限度地提高有价值的产品产量至关重要.
研究的目的:
- 通过使用人工神经网络遗传算法 (ANN-GA) 来优化废弃聚烯烯 (WP) 热解的石油生产.
- 研究聚乙烯 (PE) 质量分数,停留时间和载体气体流量对WP热解产品的相互作用作用.
- 确定最大限度地提高WP热解油产量和柴油选择性的最佳条件.
主要方法:
- 结合ANN-GA方法与中央组合因数设计进行优化.
- 使用ANN对工艺参数 (PE分数,停留时间,气体流量) 进行了广泛的调查.
- 对热解油成分和产品分量的分析.
主要成果:
- 最高的WP热解油产量为78.87%的重量,在80%的PE重量,60分钟的停留时间和0毫升/分钟的载体气体流量下实现.
- 最高的柴油选择性为91.42%,可在20重%的PE,20分钟的停留时间和0毫升/分钟的载体气体流量下获得.
- 工艺条件显著影响了油分,但并没有影响油中主要功能组的类型.
结论:
- ANN-GA是优化塑料废物热解的有效工具.
- 为了最大限度地提高整体石油产量的最佳条件与柴油选择性不同.
- 了解热解途径可以提高废弃聚烯的价值化,使其成为燃料.
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