Department of Functional Materials, Zentrum für Energietechnik (ZET), University of Bayreuth, D-95440 Bayreuth, Germany.
Institute for Sensor and Information Systems (ISIS), Karlsruhe University of Applied Sciences, D-76133 Karlsruhe, Germany.
Sensors (Basel). 2023 Mar 8;23(6):2930. doi: 10.3390/s23062930.
The quality of wood combustion processes can be effectively improved by achieving the automated control of the combustion air feed. For this purpose, continuous flue gas analysis using in situ sensors is essential. Besides the successfully introduced monitoring of the combustion temperature and the residual oxygen concentration, in this study, in addition, a planar gas sensor is suggested that utilizes the thermoelectric principle to measure the exothermic heat generated by the oxidation of unburnt reducing exhaust gas components such as carbon monoxide (CO) and hydrocarbons (CH). The robust design made of high-temperature stable materials is tailored to the needs of flue gas analysis and offers numerous optimization options. Sensor signals are compared to flue gas analysis data from FTIR measurements during wood log batch firing. In general, impressive correlations between both data were found. Discrepancies occur during the cold start combustion phase. They can be attributed to changes in the ambient conditions around the sensor housing.
通过实现燃烧空气供给的自动控制,可以有效地提高木材燃烧过程的质量。为此,使用原位传感器进行连续的烟道气分析是必不可少的。除了成功引入的燃烧温度和剩余氧浓度监测外,在这项研究中,还提出了一种平面气体传感器,该传感器利用热电原理来测量未燃烧的还原废气成分(如一氧化碳(CO)和碳氢化合物(CH))氧化产生的放热量。该传感器采用高温稳定材料制成,坚固耐用,专门针对烟道气分析的需求,并提供了众多优化选项。传感器信号与 FTIR 测量的木原木批量燃烧时的烟道气分析数据进行了比较。总的来说,两者的数据之间存在令人印象深刻的相关性。在冷启动燃烧阶段会出现差异。这些差异可以归因于传感器外壳周围环境条件的变化。