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SUB-PPM LEVEL INDOOR AIR QUALITY MONITORING

机译:低于PPM的室内空气质量监测

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摘要

The occurrence of "sick building syndromes" and "building-related illnesses" inside edifices equipped with Heating, Ventilation Air Conditioning (HVAC) systems can be reduced by controlling the concentration of pollutants in the indoor air. This can be achieved by smart intervening procedures implemented in the HVAC control system, which will be operated on the basis of reliable information about the quality of both the indoor and the outdoor air, aiming to ensure the most appropriate amount of ventilation. To monitor the air quality, we developed a dedicated, miniaturized, low-cost electronic nose (EN) realized using state-of-the-art microsystems/sensors fabrication technologies. This EN provides data as input to the specifically implemented smart intervening procedures, which will allow the HVAC system to be operated under demand, rather than by a fixed duty cycle. Two different system architectures were considered. The simple version, used for the detection of carbon dioxide and nitrogen dioxide, consists of a thin-film metal-oxide gas sensor array, where up to four sensors operated under different conditions provide distinct response patterns. The discrimination between the different target gases and their quantification are achieved using state-of-the-art data processing algorithms. In the second approach, the EN consists of a pneumatic motherboard, integrating several micromachined devices: a packed gas chromatographic column microfabricated in Si, arrays of micromachined gas sensors, zero-grade air units and microvalves, all interconnected by a micro-fluidic circuit. This architecture allows the acquisition of complex chromatograms of VOC mixtures at ppb-level.rnPreliminary results of lab characterizations are here presented for both the simple sensor-array-based architecture and the sub-components of the gas chromatographic approach, showing the feasibility of low-cost EN's for air indoor quality monitoring suitable for the integration in HVAC systems.
机译:通过控制室内空气中污染物的浓度,可以减少建筑物内装有供暖,通风空调(HVAC)系统的“病态建筑综合症”和“与建筑物有关的疾病”的发生。这可以通过在HVAC控制系统中实施的智能干预程序来实现,该程序将在有关室内和室外空气质量的可靠信息的基础上进行操作,以确保最适当的通风量。为了监测空气质量,我们开发了专用的,小型的,低成本的电子鼻(EN),该鼻使用最新的微系统/传感器制造技术实现。该EN将数据作为特定实施的智能干预程序的输入,这将允许HVAC系统根据需求运行,而不是按固定的占空比运行。考虑了两种不同的系统架构。用于检测二氧化碳和二氧化氮的简单版本包括一个薄膜金属氧化物气体传感器阵列,其中多达四个在不同条件下运行的传感器提供了不同的响应模式。使用最新的数据处理算法可实现对不同目标气体的区分及其定量。在第二种方法中,EN由一个气动母板组成,该母板集成了多个微机械设备:用Si微制造的填充气相色谱柱,微机械气体传感器阵列,零级空气单元和微阀,所有这些都通过微流体回路互连。这种架构允许以ppb级别采集VOC混合物的复杂色谱图。rn本文介绍了基于简单传感器阵列的架构和气相色谱方法的子组件的实验室表征的初步结果,显示了低进样的可行性成本高的EN,用于空气室内质量监控,适合集成在HVAC系统中。

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  • 会议地点 Amsterdam(NL);Amsterdam(NL)
  • 作者单位

    CNR-IMM Sezione di Bologna, Via P. Gobetti 101, 40129 Bologna (Italy) Ph: +390516399152, Fax: +390516399216, E-Mail: sersio.nicoletti@imm.cnr.it;

    rnCNR-IMM Sezione di Bologna, Via P. Gobetti 101, 40129 Bologna (Italy);

    CNR-IMM Sezione di Bologna, Via P. Gobetti 101, 40129 Bologna (Italy);

    CNR-IMM Sezione di Bologna, Via P. Gobetti 101, 40129 Bologna (Italy);

    rnIMSAS, Universit?t Bremen, Otto-Hahn-Allee, 28359 Bremen, Germany;

    IMSAS, Universit?t Bremen, Otto-Hahn-Allee, 28359 Bremen, Germany;

    rnAlpha-M.O.S., Avenue Didier Daurat 20, 31400 Toulouse, France;

    Alpha-M.O.S., Avenue Didier Daurat 20, 31400 Toulouse, France;

    rnAermec-FAST S.p.A.Via Roma 44, 37040 Bevilacqua (VR), Italy;

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