Dynamic energy modelling for analysis of the thermal and hygroscopic environment in a mechanically ventilated duck house

Lee, Sang Yeon; Lee, In-Bok; Kim, Rack-woo; Yeo, Uk-Hyeon; Kim, Jun-Gyu; Kwon, Kilsung

doi:10.1016/j.biosystemseng.2020.10.015

Cited by 17 publications

(16 citation statements)

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“…Furthermore, these models are specifically fine-tuned for the purposes of the analyses and adopt the most updated energy simulation method in compliance with the normative framework [83]. In literature, models that were developed ad hoc for the energy simulation of duck houses [76], pig houses [75] and broiler houses [73] are present. Other energy simulation models for livestock houses [68,69,72] were developed using building energy simulation (BES) tools, such as EnergyPlus (U.S. Department of Energy's Building Technologies Office, Washington, DC, USA) and TRNSYS (University of Wisconsin, Madison, WI, USA).…”

Section: Climate Control and Energy Usementioning

confidence: 99%

The Role of Climate Control in Monogastric Animal Farming: The Effects on Animal Welfare, Air Emissions, Productivity, Health, and Energy Use

2021

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In the last decades, an engineering process has deeply transformed livestock houses by introducing fine-tuned climate control systems to guarantee adequate indoor climate conditions needed to express the maximum genetic potential of animals and to increase their productivity. Climate control, hence, has strong relation with productivity but also with other livestock production domains, outlining a web of mutual relations between them. The objective of this work is to understand the actual role of climate control in intensive livestock houses by unpicking this web of mutual relations through a literature review. The results show that climate control plays a key role in intensive livestock houses since it has strong relations with animal welfare, air emissions, productivity, health, and energy use. These relations make it essential to adopt an integrated approach for the assessment of the effectiveness of any proposed improvement in the different domains of livestock production. This is especially true considering aspects such as the expected increase of livestock production in developing countries and global warming. For this purpose, integrated climate control models of livestock houses are needed, representing a challenging opportunity for performing investigations in this research field.

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Section: Climate Control and Energy Usementioning

confidence: 99%

The Role of Climate Control in Monogastric Animal Farming: The Effects on Animal Welfare, Air Emissions, Productivity, Health, and Energy Use

2021

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“…Several studies have been conducted to analyze and predict the internal environments of livestock houses using numerical models [5][6][7][8][9][10][11][12][13][14][15]. Most previous studies have been conducted for air temperature in broiler houses and pig houses.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Approach to Predict Air Temperature and Relative Humidity inside Mechanically and Naturally Ventilated Duck Houses: Application of Recurrent Neural Network

Lee

Yeo

et al. 2022

Agriculture

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The duck industry ranks sixth as one of the fastest-growing major industries for livestock production in South Korea. However, there are few studies quantitatively predicting the internal thermal and moisture environment of duck houses. In this study, high-accuracy recurrent neural network (RNN) models were used to predict the internal air temperature and relative humidity of mechanically and naturally ventilated duck houses. The models were developed according to the type of duck houses, seasons, and environmental variables by learning the monitoring data of the internal and external environments. The optimal sequence length of learning data for the development of the RNN model was selected as 120 min. As a result of the validation, both air temperature and relative humidity could be accurately predicted within 1% error. In addition, simplified RNN models were additionally developed by learning only from the data of external air temperature, relative humidity, and duck weight, which are relatively easy to acquire at the farms. The accuracy of the simplified RNN models was similar to the basic model for predicting the internal air temperature and relative humidity of duck houses in real time. In the future, for the convergence of information and communications technologies (ICTs) and application of smart farms in duck houses, the RNN models of duck houses developed in this study can be applied to predict and control the internal environments of duck houses using the model predictive control (MPC) technique.

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“…Aland & Banhazi [113] 2013 B Ngajilo [114] 2014 J FAO [115] 2016 R O'Neill [116] 2016 R Yi et al [117] 2016 J Hristov et al [118] 2018 J Laurent [119] 2018 R Ranjan et al [120] 2019 J Yasmeen et al [121] 2020 J Thornton & Herrero [122] 2010 R El Mogharbel et al [123] 2014 J Energy use Fabrizio et al [124] 2014 J Zhou et al [125] 2017 P Xie et al [126] 2019 J Lee et al [127] 2020 J * B: book, J: journal, P: conference proceeding, R: scientific report The selected works were analyzed with the aim of finding in each one of them the main domain of livestock production that was highlighted to have a mutual relation with climate control. Five main domains of livestock production were found to have such a relation -first column of Table 2.2-and they are schematized in the conceptualization of Figure 2.2.…”

Section: Healthmentioning

confidence: 99%

“…A similar approach is used also for the validation of models for livestock houses. Lee et al [127], for example, performed a monitoring campaign in a duck house during almost a year to acquire the needed dataset for validating their developed energy simulation model. To do so, 12 sensors for air temperature and relative humidity measurements were installed at 1.2 m and set with a 1-second acquisition time step.…”

Section: Literature Backgroundmentioning

confidence: 99%

“…The analysis aimed at decreasing the energy consumption and the operating costs for heating and cooling of the analyzed broiler house, including an optimization in the farm operational plan, by varying the starting dates of the production cycles. Lee et al [127] used TRNSYS to develop a dynamic energy model for analyzing the thermal and hygroscopic environment of mechanically ventilated duck houses.…”

Section: Dynamic Energy Modelsmentioning

confidence: 99%

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Improving Climate Control and Energy Performance in Greenhouses and Livestock Houses: Modelling Advances and Experimental Results

Costantino¹

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Improving Climate Control and Energy Performance in Greenhouses and Livestock Houses: Modeling Advances and Experimental Results" Socio-demographic trends, such as population growth and urbanization, are leading to a significant increase of the world food demand. At the same time, there is a shift of the human diet toward livestock products, vegetables, and fruit rather than cereals. In this context, greenhouses and livestock houses can play a primary role since they can supply the necessary agricultural products with higher yields than on-field crop production and extensive animal farming. One way in which productivity is enhanced in these agricultural buildings is by a fine-tuned control of the indoor climate conditions. For this purpose, mechanical climate control systems are often adopted, but they entail a considerable energy consumption whose estimated increase may jeopardize the transition toward a sustainable agriculture. The overall objective of this thesis, hence, is to contribute to the transition toward a sustainable agriculture by improving the energy performance for climate control of greenhouses and livestock houses.To achieve this objective, a three-pronged approach was taken involving a literature review, experimental monitoring campaigns, and energy modelling activities. The literature review was performed to unpick the tangle of mutual relations between climate control and other domains of agricultural production. The nexus between energy performance and climate control was investigated analyzing real datasets acquired through monitoring campaigns performed in a greenhouse and two pig houses. This nexus was further studied adopting a numerical approach which led to the development and validation of three energy simulation models for greenhouses, broiler houses and pig houses. Each simulation model integrates the main features typical of greenhouses and livestock houses to accurately estimate the time profiles of lumped indoor climate conditions and thermal and electrical energy consumption. The opportunities in improving the energy performance and the indoor climate conditions provided by the developed energy models were explored by analyzing specific energy-related problems. The broiler house energy model, in fact, was adopted to evaluate the potentialities of a new primary energy approach for the energy-efficient envelope design of broiler houses. The same model was applied to evaluate the variation of energy consumption achieved by an improved ventilation strategy aimed at enhancing broiler welfare by reducing indoor noxious gas concentrations.This thesis contributes to the transition toward a more sustainable agriculture providing new knowledge and tools necessary for improving the energy performance for climate control of greenhouses and livestock houses. The performed analyses, in fact, quantify potential decrease of energy consumption achievable through the implementation of energy-efficient measures at both Crop production in greenhousesGreenhouses are among the most widespread and effi...

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Dynamic energy modelling for analysis of the thermal and hygroscopic environment in a mechanically ventilated duck house

Cited by 17 publications

References 14 publications

The Role of Climate Control in Monogastric Animal Farming: The Effects on Animal Welfare, Air Emissions, Productivity, Health, and Energy Use

The Role of Climate Control in Monogastric Animal Farming: The Effects on Animal Welfare, Air Emissions, Productivity, Health, and Energy Use

Machine Learning Approach to Predict Air Temperature and Relative Humidity inside Mechanically and Naturally Ventilated Duck Houses: Application of Recurrent Neural Network

Improving Climate Control and Energy Performance in Greenhouses and Livestock Houses: Modelling Advances and Experimental Results

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