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固体废物特性实时测定方法的批判性综述:为材料回收和燃料生产提供信息

Critical review of real-time methods for solid waste characterisation: Informing material recovery and fuel production.

作者信息

Vrancken C, Longhurst P J, Wagland S T

机构信息

School of Water, Energy and Environment, Cranfield University, Cranfield, Bedfordshire MK43 0AL, UK.

School of Water, Energy and Environment, Cranfield University, Cranfield, Bedfordshire MK43 0AL, UK.

出版信息

Waste Manag. 2017 Mar;61:40-57. doi: 10.1016/j.wasman.2017.01.019. Epub 2017 Jan 28.

Abstract

Waste management processes generally represent a significant loss of material, energy and economic resources, so legislation and financial incentives are being implemented to improve the recovery of these valuable resources whilst reducing contamination levels. Material recovery and waste derived fuels are potentially valuable options being pursued by industry, using mechanical and biological processes incorporating sensor and sorting technologies developed and optimised for recycling plants. In its current state, waste management presents similarities to other industries that could improve their efficiencies using process analytical technology tools. Existing sensor technologies could be used to measure critical waste characteristics, providing data required by existing legislation, potentially aiding waste treatment processes and assisting stakeholders in decision making. Optical technologies offer the most flexible solution to gather real-time information applicable to each of the waste mechanical and biological treatment processes used by industry. In particular, combinations of optical sensors in the visible and the near-infrared range from 800nm to 2500nm of the spectrum, and different mathematical techniques, are able to provide material information and fuel properties with typical performance levels between 80% and 90%. These sensors not only could be used to aid waste processes, but to provide most waste quality indicators required by existing legislation, whilst offering better tools to the stakeholders.

摘要

废物管理过程通常意味着物质、能源和经济资源的重大损失,因此正在实施立法和财政激励措施,以提高这些宝贵资源的回收率,同时降低污染水平。材料回收和衍生燃料是行业正在探索的潜在有价值的选择,采用了结合为回收厂开发和优化的传感器及分拣技术的机械和生物工艺。就目前状况而言,废物管理与其他行业存在相似之处,这些行业可以利用过程分析技术工具提高效率。现有的传感器技术可用于测量关键的废物特性,提供现有立法要求的数据,可能有助于废物处理过程,并协助利益相关者进行决策。光学技术为收集适用于行业使用的各种废物机械和生物处理过程的实时信息提供了最灵活的解决方案。特别是,可见光谱和800纳米至2500纳米近红外光谱范围内的光学传感器组合,以及不同的数学技术,能够提供材料信息和燃料特性,典型性能水平在80%至90%之间。这些传感器不仅可用于辅助废物处理过程,还能提供现有立法要求的大多数废物质量指标,同时为利益相关者提供更好的工具。

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