Author : Hanwook Chung (Ph.D.)
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (141 download)
Book Synopsis Design and Control of Dairy Housing Microclimate Using Advanced Sensor Networks and Simulation Tools to Mitigate Heat Stress of Dairy Cows by : Hanwook Chung (Ph.D.)
Download or read book Design and Control of Dairy Housing Microclimate Using Advanced Sensor Networks and Simulation Tools to Mitigate Heat Stress of Dairy Cows written by Hanwook Chung (Ph.D.) and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amidst escalating production scales, sustainability imperatives, and heightened awareness of animal welfare with increasingly extreme weather conditions, heat stress in livestock has emerged as a paramount concern for the U.S. dairy industry. Conventional cross- and tunnel-ventilation systems, which have become the standard mechanical system for cow cooling and barn ventilation in large dairy barn facilities, might no longer meet the requirements per cow, given the expanding numbers of cows accommodated within single facilities. This dissertation proposed a series of elements that all pertain to one overarching goal of developing an intelligent animal-centric ventilation system design and control that could address some of the identified concerns with mechanical ventilation in large-scale dairy barns while meeting animal-specific cooling requirements. Solving this problem requires many different interdisciplinary efforts to perfect. However, the studies presented in this dissertation aim to serve as a foundation for future studies. Due to the nature of interdisciplinary studies, many of the presented solutions contain technical knowledge from various disciplines (e.g. Machine Learning, Computational Fluid Dynamics, and Internet of Things).The two major components required for developing an effective animal-centric ventilation system are a sound method to retrieve animal-based heat stress index and an appropriate targeted cooling ventilation design that can efficiently be controlled using that direct heat stress index. Chapter Two delves into the real-time monitoring of dairy cow heat stress by employing an Internet of Things-infused rechargeable ear tag. This wireless device tracks the subcutaneous ear temperature, offering a minimally invasive proxy to gauge core body temperatures. Chapter Four describes the design optimization and cooling performance evaluation of PPPV. Design parameter optimization and performance prediction using CFD are crucial, especially in a newly proposed system without a direct predecessor. Lastly, Chapter Three delineates the conception of a machine-learning-augmented computational fluid dynamics (CFD-ML) simulator. This CFD-ML model, which can "simulate" heat and mass transfer phenomena in a dairy barn with much less required computational cost, can be a blueprint for smart simulation tools that can eventually support and aid in ventilation design processes, as described in Chapter Three. In the future, these individual efforts should come together to attain the ultimate goal of developing a smarter, animal-centric dairy barn ventilation system.
