{"title":"结合模拟和测量的有效数据集用于自然通风奶牛场的排放分析","authors":"Julian Hartje, Abu Zar Shafiullah","doi":"10.1016/j.dib.2025.112017","DOIUrl":null,"url":null,"abstract":"<div><div>Quantifying emissions from naturally ventilated livestock buildings is challenging due to the large side wall openings. In addition, measurement campaigns are expensive and time consuming and are therefore limited to a few short measurement weeks during the year. However, emission factors or annual averages are extrapolated from these data sets. Simulations can complement this data set by extending it and thus broadening the basis for the extrapolation of emission factors or evaluation of the barn and management system. The dataset presented consists of solution data from computational fluid dynamics (CFD) simulations of naturally ventilated cattle barns and the corresponding simulation and geometry files. The simulations were validated using data sets from measurement campaigns in three naturally ventilated cattle barns in Germany. Together with weather data from the German Weather Service (DWD), weather situations that occurred outside the measurement weeks could be investigated. With the presented data set further investigations are possible. Together with the measured data, simulation techniques, data aggregation and the development of new numerical modelling approaches can be investigated in detail.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"62 ","pages":"Article 112017"},"PeriodicalIF":1.4000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Validated dataset combining simulations and measurements for emission analysis of naturally ventilated dairy barns\",\"authors\":\"Julian Hartje, Abu Zar Shafiullah\",\"doi\":\"10.1016/j.dib.2025.112017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Quantifying emissions from naturally ventilated livestock buildings is challenging due to the large side wall openings. In addition, measurement campaigns are expensive and time consuming and are therefore limited to a few short measurement weeks during the year. However, emission factors or annual averages are extrapolated from these data sets. Simulations can complement this data set by extending it and thus broadening the basis for the extrapolation of emission factors or evaluation of the barn and management system. The dataset presented consists of solution data from computational fluid dynamics (CFD) simulations of naturally ventilated cattle barns and the corresponding simulation and geometry files. The simulations were validated using data sets from measurement campaigns in three naturally ventilated cattle barns in Germany. Together with weather data from the German Weather Service (DWD), weather situations that occurred outside the measurement weeks could be investigated. With the presented data set further investigations are possible. Together with the measured data, simulation techniques, data aggregation and the development of new numerical modelling approaches can be investigated in detail.</div></div>\",\"PeriodicalId\":10973,\"journal\":{\"name\":\"Data in Brief\",\"volume\":\"62 \",\"pages\":\"Article 112017\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data in Brief\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352340925007395\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352340925007395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Validated dataset combining simulations and measurements for emission analysis of naturally ventilated dairy barns
Quantifying emissions from naturally ventilated livestock buildings is challenging due to the large side wall openings. In addition, measurement campaigns are expensive and time consuming and are therefore limited to a few short measurement weeks during the year. However, emission factors or annual averages are extrapolated from these data sets. Simulations can complement this data set by extending it and thus broadening the basis for the extrapolation of emission factors or evaluation of the barn and management system. The dataset presented consists of solution data from computational fluid dynamics (CFD) simulations of naturally ventilated cattle barns and the corresponding simulation and geometry files. The simulations were validated using data sets from measurement campaigns in three naturally ventilated cattle barns in Germany. Together with weather data from the German Weather Service (DWD), weather situations that occurred outside the measurement weeks could be investigated. With the presented data set further investigations are possible. Together with the measured data, simulation techniques, data aggregation and the development of new numerical modelling approaches can be investigated in detail.
期刊介绍:
Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.