Concentration Gradients of Ammonia, Methane, and Carbon Dioxide at the Outlet of a Naturally Ventilated Dairy Building

Author:

Sahu Harsh1ORCID,Hempel Sabrina1ORCID,Amon Thomas12ORCID,Zentek Jürgen3,Römer Anke4,Janke David1ORCID

Affiliation:

1. Leibniz-Institut für Agrartechnik und Bioökonomie (ATB), Max-Eyth-Allee 100, 14469 Potsdam, Germany

2. Institut für Tier- und Umwelthygiene, Freie Universität Berlin, Robert-von-Ostertag-Str. 7-13, 14163 Berlin, Germany

3. Institut für Tierernährung, Freie Universität Berlin, Königin-Luise-Str. 49, 14195 Berlin, Germany

4. Landesforschungsanstalt für Landwirtschaft und Fischerei (LFA) Mecklenburg-Vorpommern, Dorfplatz 1/OT Gülzow, 18276 Gülzow-Prüzen, Germany

Abstract

In natural ventilation system-enabled dairy buildings (NVDB), achieving accurate gas emission values is highly complicated. The external weather affects measurements of the gas concentration of pollutants (cP) and volume flow rate (Q) due to the open-sided design. Previous research shows that increasing the number of sensors at the side opening is not cost-effective. However, accurate measurements can be achieved with fewer sensors if an optimal sampling position is identified. Therefore, this study attempted to calibrate the outlet of an NVDB for the direct emission measurement method. Our objective was to investigate the cP gradients, in particular, for ammonia (cNH3), carbon dioxide (cCO2), and methane (cCH4) considering the wind speed (v) and their mixing ratios ([cCH4/cNH3¯]) at the outlet, and assess the effect of sampling height (H). The deviations in each cP at six vertical sampling points were recorded using a Fourier-transform infrared (FTIR) spectrometer. Additionally, wind direction and speed were recorded at the gable height (10 m) by an ultrasonic anemometer. The results indicated that, at varied heights, the average cNH3 (p < 0.001), cCO2 (p < 0.001), and (p < 0.001) were significantly different and mostly concentrated at the top (H = 2.7). Wind flow speed information revealed drastic deviations in cP, for example up to +105.1% higher cNH3 at the top (H = 2.7) compared to the baseline (H = 0.6), especially during low wind speed (v < 3 m s−1) events. Furthermore, [cCH4/cNH3¯] exhibited significant variation with height, demonstrating instability below 1.5 m, which aligns with the average height of a cow. In conclusion, the average cCO2, cCH4, and cNH3 measured at the barn’s outlet are spatially dispersed vertically which indicates a possibility of systematic error due to the sensor positioning effect. The outcomes of this study will be advantageous to locate a representative gas sampling position when measurements are limited to one constant height, for example using open-path lasers or low-cost devices.

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

Reference37 articles.

1. Gerber, P.J., Steinfeld, H., Henderson, B., Mottet, A., Opio, C., Dijkman, J., Falcucci, A., and Tempio, G. (2013). Tackling Climate Change through Livestock: A Global Assessment of Emissions and Mitigation Opportunities, Food and Agriculture Organization of the United Nations (FAO).

2. The Global Methane Budget 2000–2017;Saunois;Earth Syst. Sci. Data,2020

3. Airborne reduced nitrogen: Ammonia emissions from agriculture and other sources;Anderson;Environ. Int.,2003

4. Livestock and climate change: Impact of livestock on climate and mitigation strategies;Grossi;Anim. Front.,2019

5. European Environment Agency, Pinterits, M., Anys, M., Gager, M., and Ullrich, B. (2020). European Union Emission Inventory Report 1990–2018 under the UNECE Convention on Long-Range Transboundary Air Pollution (LRTAP), Publications Office of the European Union.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3