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아두이노 기반 풍속계를 활용한 자연환기식 우사의 환기량 측정

Ventilation Rate Measurement in a Naturally Ventilated Cattle Barn Using Arduino-Based Anemometers

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초록

Naturally ventilated (NV) cattle barns contribute significantly to national ammonia emissions, which are precursors to secondary particulate matter inthe atmosphere. However, accurately estimating ammonia emissions from NV buildings is challenging due to variations in ventilation rates caused byfluctuating nature of the wind. This study developed a cost-efficient ultrasonic anemometer for direct measurement of ventilation rates in NV cattlebarns. The device underwent wind tunnel testing for accuracy validation and used for field experiments conducted in the studied cattle barn for threemonths. Measured ventilation rates were compared with estimates obtained from the CO2 tracer gas method and the wind pressure-thermal buoyancy(WT) method to assess measurement reliability. The results indicated that ventilation rates were strongly influenced by external wind speed, with peakvalues occurring between 12:00 PM and 3:00 PM. The ultrasonic anemometer demonstrated a high correlation with direct wind speed measurements. The CO2 tracer gas method showed close agreement with direct measurements, with only a 4% difference, indicating its reliability under specificconditions. In contrast, the WT method tended to underestimate ventilation rates, highlighting the need for further calibration. The findings providevaluable insights into ventilation characteristics in NV cattle barns and offer a foundation for improving ammonia emission measurement in NVbuildings.

Abstract

Naturally ventilated (NV) cattle barns contribute significantly to national ammonia emissions, which are precursors to secondary particulate matter inthe atmosphere. However, accurately estimating ammonia emissions from NV buildings is challenging due to variations in ventilation rates caused byfluctuating nature of the wind. This study developed a cost-efficient ultrasonic anemometer for direct measurement of ventilation rates in NV cattlebarns. The device underwent wind tunnel testing for accuracy validation and used for field experiments conducted in the studied cattle barn for threemonths. Measured ventilation rates were compared with estimates obtained from the CO2 tracer gas method and the wind pressure-thermal buoyancy(WT) method to assess measurement reliability. The results indicated that ventilation rates were strongly influenced by external wind speed, with peakvalues occurring between 12:00 PM and 3:00 PM. The ultrasonic anemometer demonstrated a high correlation with direct wind speed measurements. The CO2 tracer gas method showed close agreement with direct measurements, with only a 4% difference, indicating its reliability under specificconditions. In contrast, the WT method tended to underestimate ventilation rates, highlighting the need for further calibration. The findings providevaluable insights into ventilation characteristics in NV cattle barns and offer a foundation for improving ammonia emission measurement in NVbuildings.

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