在燃煤发电厂中模拟的迁移和排放特征
Yan Zhao1, Cheng Zhang1, Lun Ma1
1State Key Laboratory of Coal Combustion, School of Energy and Power Engineering, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan 430074, China.
Journal of hazardous materials
|December 22, 2023
概括
飞灰中的矿物质在煤炭燃烧过程中吸收 (As),减少排放. 一个新的模型准确地预测了飞灰和烟雾气中的As含量,有助于环境管理.
科学领域:
- 环境科学 环境科学
- 化学 化学 化学
- 工程 工程师 工程师 工程师
背景情况:
- 煤炭燃烧会将 (As) 释放到大气中.
- 飞灰矿物质可以在烟雾气冷却过程中吸附As,减轻排放.
- 对于飞灰矿物质对吸附的定量理解是有限的.
研究的目的:
- 为了研究关键飞灰矿物质的As吸附特性.
- 开发和验证飞灰中As含量的预测模型.
- 在燃煤发电厂 (CFPP) 中评估As分布.
主要方法:
- 实验室规模的实验和密度函数理论 (DFT) 计算来确定矿物质A的吸附潜力.
- 模型开发使用来自11个煤炭的实验数据.
- 模型验证使用来自10个混合煤的数据,并应用于350兆瓦的CFPP.
主要成果:
- 开发的模型表现出可接受的性能,实验室规模数据的预测误差为2.83-11.45%.
- 在CFPP中,飞中的实验As含量为11.92-16.15μg/g,模型预测为9.61-12.55μg/g (17.39-22.29%的误差).
- 显著 由于观察到分区: 74.05-82.70%在静电沉灰中,在底层灰,FGD液体和烟气中含量较小.
结论:
- 这项研究提供了一种定量模型,用于预测飞中的吸.
- 该模型有助于理解和管理燃煤发电厂的As排放.
- 已证实在静电沉器中捕获有效As,这对废物管理有影响.
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