Estimation of opening discharge coefficient of naturally ventilated dairy buildings by response surface methodology-Reference-Cited by-同舟云学术

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Estimation of opening discharge coefficient of naturally ventilated dairy buildings by response surface methodology

Published:2020-02 Issue: Volume:169 Page:105224
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Yi Qianying,Zhang Guoqiang,Li Hao,Wang Xiaoshuai,Janke David,Amon Barbara,Hempel Sabrina,Amon Thomas

Funder

German Federal Ministry of Food and Agriculture

Federal Office for Agriculture and Food

Innovation Foundation Denmark

Ministry of Environment and Food of Denmark

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference44 articles.

1. ASHRAE, 2009. Handbook of Fundamentals. American Society of Heating, Refrigerating and Air Conditioning Engineers (ASHRAE), Atlanta.

2. Some new three level designs for the study of quantitative variables;Box;Technometrics,1960

3. Statistics for Experimenters, An Introduction to Design, Data Analysis, and Model Building;Box,1978

4. Natural ventilation in single airspace buildings;Brockett;J. Agric. Engng. Res.,1987

5. CD-Adapco, 2017. STAR-CCM+ v13.04 Users Guide.

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1. Optimizing wind-catching butterfly roofs to improve cross natural ventilation performance in apartment buildings;IOP Conference Series: Earth and Environmental Science;2024-07-01

2. A CFD Methodology for the Modelling of Animal Thermal Welfare in Hybrid Ventilated Livestock Buildings;AgriEngineering;2024-05-29

3. Finite element analysis for the laterally offset prediction of cold-proof cloth in contact with the rubber spreading roller;Computers and Electronics in Agriculture;2024-05

4. Indoor Thermal Comfort Sector: A Review of Detection and Control Methods for Thermal Environment in Livestock Buildings;Sustainability;2024-02-17

5. Predicting Ventilation Rate in a Naturally Ventilated Dairy Barn in Wind-Forced Conditions Using Machine Learning Techniques;Agriculture;2023-04-06

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