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Development, Validation, and Application of Building Energy Simulation Models for Livestock Houses: A Systematic Review

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  • Andrea Costantino

    (Institute of Animal Science and Technology, Universitat Politècnica de València, Camino de Vera s.n., 46022 Valencia, Spain)

Abstract

The need to improve the sustainability of intensive livestock farming has led to an increasing adoption of Building Energy Simulation (BES) models for livestock houses. However, a consolidated body of knowledge specifically dedicated to these models is lacking in literature. This gap represents a significant obstacle to their widespread application and scalability in research and industry. The aim of this work is to pave the way for scaling the adoption of BES models for livestock houses by providing a comprehensive analysis of their application, development, and validation. For this aim, a systematic review of 42 papers—selected from over 795 results from the initial database query—is carried out. The findings underscored a growing body of research that involves BES models for different purposes. However, a common approach in both model development and validation is still lacking. This issue could hinder their scalability as a standard practice, especially in industry, also considering the limitations of BES models highlighted in this work. This review could represent a solid background for future research since provides an up-to-date framework on BES models for livestock houses and identifies future research opportunities. Moreover, it contributes to increasing the reliability of BES models for livestock houses by providing some recommendations for their validation.

Suggested Citation

  • Andrea Costantino, 2023. "Development, Validation, and Application of Building Energy Simulation Models for Livestock Houses: A Systematic Review," Agriculture, MDPI, vol. 13(12), pages 1-28, December.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:12:p:2280-:d:1301123
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    References listed on IDEAS

    as
    1. Shin, Hakjong & Kwak, Younghoon & Jo, Seng-Kyoun & Kim, Se-Han & Huh, Jung-Ho, 2023. "Development of an optimal mechanical ventilation system control strategy based on weather forecasting data for outdoor air cooling in livestock housing," Energy, Elsevier, vol. 268(C).
    2. Choi, Kwangwon & Park, Semi & Joe, Jaewan & Kim, Seon-In & Jo, Jae-Hun & Kim, Eui-Jong & Cho, Young-Hum, 2023. "Review of infiltration and airflow models in building energy simulations for providing guidelines to building energy modelers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 181(C).
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    7. Costantino, Andrea & Comba, Lorenzo & Cornale, Paolo & Fabrizio, Enrico, 2022. "Energy impact of climate control in pig farming: Dynamic simulation and experimental validation," Applied Energy, Elsevier, vol. 309(C).
    8. Dimitrios Tyris & Apostolos Gkountas & Panteleimon Bakalis & Panagiotis Panagakis & Dimitris Manolakos, 2023. "A Dynamic Heat Pump Model for Indoor Climate Control of a Broiler House," Energies, MDPI, vol. 16(6), pages 1-21, March.
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