A review of sensor applications towards precise control of pyrolysis of solid waste and biomasses

城市固体废物 热解 废物管理 原材料 甲烷 生物量(生态学) 环境科学 填埋气 工艺工程 材料科学 工程类 化学 有机化学 海洋学 地质学
作者
Haifeng Zhang,Shuai Ju,Xin Jin,Yan Yuan,Yingji Wu,Ashok Kumar,Arivalagan Pugazhendhi,Liping Cai,Changlei Xia
出处
期刊:Renewable & Sustainable Energy Reviews [Elsevier BV]
卷期号:169: 112915-112915 被引量:29
标识
DOI:10.1016/j.rser.2022.112915
摘要

Pyrolysis is one of the most efficient and sustainable technologies for converting biomass, solid waste into valuable bioenergy products to achieve future-oriented synthetic energy. As the intelligent automation control has been rapidly developing recently, it is desired to control and adjust the operating parameters in each feedstock reaction stage by accurately measuring the temperatures, pressures, and the produced gas quantity and compositions. This study reviews comprehensively pressure and gas sensors that are applied or potentially applied in pyrolysis. It was found that the operating temperature and reactor pressure are critical parameters affecting the yields and quality of pyrolysis products. Gas sensors can be used to detect various gases and vapors, such as methane, hydrogen, carbon monoxide, and dioxide, to estimate the quality, quantity, and compositions of gas products for their further utilizations during the pyrolysis and upgrading. According to the sensing data of the gas products, operating parameters of the pyrolysis and upgrading processes can be adjusted and optimized to enhance the pyrolysis efficiency and quality of synthetic energy products. As for the performances of available gas sensors, many of them can withstand temperatures up to 1000 °C and have advantages of good selectivity and stable for long-time, which can be utilized for pyrolysis and upgrading processes. The authors' group will develop high temperature wireless SAW gas sensor for monitoring the major gases in the reactor during pyrolysis and upgrading processes and enhance the efficiency of syn-gas production and gas quality via sensing.
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