A micromachined thermoelectric sensor for natural gas analysis: Multivariate calibration results
A micromachined thermoelectric sensor for natural gas analysis: Multivariate calibration results
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DOI：
10.1016/j.snb.2011.11.086
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发表时间：
2012-05-20
影响因子：
8.4
通讯作者：
Marco, S.
中科院分区：
文献类型：
--
作者：
Udina, S.;Carmona, M.;Marco, S.
探讨了基于微机械热电堆的传感器装置用于分析天然气的潜在用途。该传感器由一个热隔离的加热板组成，通过向集成加热器施加一系列编程电压来加热。一旦热板达到固定温度，热电堆提供与热板温度成比例的信号。处理这些信号以确定不同的天然气性质。传感器的响应主要取决于周围气体在不同温度下的热导率。七个预测的属性（正常密度，上级热值，沃泊指数和甲烷，乙烷，二氧化碳和氮气的浓度）校准传感器信号，通过使用多元回归，特别是偏最小二乘法。实验数据已被用于校准和验证。结果表明，除了二氧化碳浓度的预测外，性能预测能力具有合理的精度。提供了详细的不确定性分析，以更好地了解系统的可测量性限制。这些结果意味着第一次设计前所未有的低成本天然气分析仪的可能性。该概念可以扩展到其他受约束的气体混合物（例如，已知数量的组分），以实现低成本的多组分气体分析仪。(C)2012爱思唯尔有限公司版权所有。
The potential use of a micromachined thermopile based sensor device for analyzing natural gas is explored. The sensor consists of a thermally isolated hotplate, which is heated by the application of a sequence of programmed voltages to an integrated heater. Once the hotplate reaches a stationary temperature, the thermopile provides a signal proportional to the hotplate temperature. These signals are processed in order to determine different natural gas properties. Sensor response is mainly dependent on the thermal conductivity of the surrounding gas at different temperatures. Seven predicted properties (normal density, superior heating value, Wobbe index and the concentrations of methane, ethane, carbon dioxide and nitrogen) are calibrated against sensor signals by using multivariate regression, in particular partial least squares. Experimental data have been used for calibration and validation. Results show property prediction capability with reasonable accuracy except for prediction of carbon dioxide concentration. A detailed uncertainty analysis is provided to better understand the metrological limits of the system. These results imply for the first time the possibility of designing unprecedented low-cost natural gas analyzers. The concept may be extended to other constrained gas mixtures (e.g. of a known number of components) to enable low-cost multicomponent gas analyzers. (C) 2012 Elsevier B.V. All rights reserved.