Applicability evaluation of a demand-controlled ventilation system in livestock

Shin, Hakjong; Kwak, Young Hoon; Jo, Seng-Kyoun; Kim, Se-Han; Huh, Jung-Ho

doi:10.1016/j.compag.2022.106907

Cited by 16 publications

(9 citation statements)

References 36 publications

(36 reference statements)

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“…For this, two ANN-based predictive and adaptive models were developed and employed in the algorithm. Shin et al [101] analyzed indoor environmental changes and energy consumption based on ventilation system control applications by EnergyPlus, while predicting indoor temperature and CO 2 concentration.…”

Section: Applications Of Machine Learningmentioning

confidence: 99%

Environmental Factor Detection and Analysis Technologies in Livestock and Poultry Houses: A Review

et al. 2023

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The environment in livestock and poultry houses plays an important role in the growth and reproduction of livestock and poultry. In order to obtain the environmental conditions of livestock and poultry houses in a timely and reliable manner, and eliminate adverse environmental factors, scholars have been exploring various methods to obtain and predict environmental factors. This paper reviewed the literature from the last 10 years, specifically focusing on technologies for detecting environmental factors in livestock and poultry houses, which can be mainly divided into three categories: research on the environmental monitoring and control of livestock and poultry houses based on detection equipment and wireless sensor technology; research on the distribution and regularity of environmental factors in livestock and poultry houses based on a mathematical model; research on the environmental simulation and detection of livestock and poultry houses based on computer technology. The current testing methods have their advantages and disadvantages. When studying environmental factors, researchers should choose the most appropriate method for data acquisition according to the actual situation. The proposed recommendations for achieving this goal are as follows: (1) The control of environmental factors should be combined with the physiological response of livestock and poultry. The needs of animals should be considered; (2) Novel approaches need to be developed to integrate energy requirements into the environmental regulation of livestock and poultry houses; (3) It is necessary to research and develop control models and strategies that can predict the environment in the houses, and the transient simulation method should be further explored; (4) Improve environmental detection and control accuracy through the coupling of different technologies.

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Section: Applications Of Machine Learningmentioning

confidence: 99%

Environmental Factor Detection and Analysis Technologies in Livestock and Poultry Houses: A Review

et al. 2023

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“…As described in [75], [76], and [77], energy is a primary operational expense in livestock farming for managing the livestock environment. For example, a ventilation fan is a fundamental entity to control the airflow and indoor air temperature, as the authors in [78], [79], and [80] provided an energy-efficient ventilation fan operation algorithm for a pig house.…”

Section: Energy Analysis Of Pig House Using Digital Twinmentioning

confidence: 99%

Digital Twin Application: Making a Virtual Pig House Toward Digital Livestock Farming

Jeong,

Jo,

Lee

et al. 2023

IEEE Access

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Digital twins, an emerging technology, are widely used in various industries. It builds a virtual space by mirroring a physical space and performs different simulations to solve problems that are complicated or impossible to solve in the physical space. Livestock farming in agriculture is evolving rapidly with the introduction of various information and communication technologies for digital farming. However, only few studies have examined the digital twin in terms of HVAC systems directly related to productivity in livestock farming. Here, we propose a novel digital twin framework for livestock farming focusing on pig houses. Livestock farming is one of perspective areas where digital twins can provide benefits for the growth of livestock and their operation in an efficient manner. To validate effect of the proposed digital twin framework for a pig house, we perform various simulations using a real-world dataset of a pig house. As a result of analyzing the energy demands for heating in pigsty based on the digital twin framework, the fan-coil unit was found to be the most energy efficient. In addition, when the optimal control of the HVAC system was applied, it was found to be more energy efficient than the conventional control method. The results obtained in this study show that our approach is superior to existing operational conventions, particularly in terms of energy efficiency.INDEX TERMS Digital livestock farming, digital twin, energy, simulation.

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“…In Rong et al [20] the authors summarize the best practice guidelines for CFD modeling in livestock buildings to ensure prediction quality. Taking the advantages of CFD techniques, this methodology have been also used to simulate the indoor air flow in animal buildings, namely in pig [21,22], cattle [23], and, in particular, poultry housing [17,24]. In Eva Galdo (2017) [19], a review of animal buildings' CFD simulations is presented.…”

Section: Introductionmentioning

confidence: 99%

Computational Fluid Dynamics Modeling of Ammonia Concentration in a Commercial Broiler Building

2023

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In the present study, a numerical model was developed to predict the flow pattern inside a broiler building. The model was intended to predict the velocity fields inside the domain and the ammonia (NH3) emitted or released by litter from poultry housing. The numerical model was developed in computational fluid dynamics (CFDs) commercial code and intended to represent a commercial broiler building and to simulate the 3D and heat transfer in steady-state flow. The evaporative cooling pads were also included in the model. The validation of the model was based on experimental measurements obtained in previous studies. The simulations were focused on the summer, winter, and mid-season conditions. Numerical measurements of NH3 concentration were compared with the experimental measurements, and a quite good agreement was verified. The numerical results allowed the characterization of: the inside flow pattern developed for the summer and winter periods and the NH3 and velocity field distributions inside the broiler building. It was found that NH3 concentration increased along the tunnel, as a result, especially, of the low flow rate of the exhaust fan. It was verified that the low velocities inside domain were not sufficient to remove the gaseous pollutants.

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Applicability evaluation of a demand-controlled ventilation system in livestock

Cited by 16 publications

References 36 publications

Environmental Factor Detection and Analysis Technologies in Livestock and Poultry Houses: A Review

Environmental Factor Detection and Analysis Technologies in Livestock and Poultry Houses: A Review

Digital Twin Application: Making a Virtual Pig House Toward Digital Livestock Farming

Computational Fluid Dynamics Modeling of Ammonia Concentration in a Commercial Broiler Building

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