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Modeling of Building System Operational Faults for Improved Energy Efficiency

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Smart Buildings and Technologies for Sustainable Cities in China

Part of the book series: Urban Sustainability ((US))

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Abstract

Efficient building system operation is vital for achieving the energy and sustainability goals established during the building design phase. However, operational faults are prevalent in existing building heating, ventilating, and air conditioning (HVAC) systems of existing buildings. These faults often result in a significant discrepancy between actual HVAC operation performance and design expectations, leading to decreases in energy efficiency and occupant comfort. To address this issue, modeling and simulating technology can serve as an effective approach to evaluating and analyzing building operational faults. By adopting a holistic approach, this method can adequately account for the coupling between various operational components, the synchronized effect of simultaneous faults, and the dynamic nature of fault severity. Consequently, a deeper understanding of these faults can be attained, facilitating a more accurate estimation of their severity, and supporting timely decision-making for fault corrections. This chapter aims to explore the reasons behind the occurrence of representative building operational faults and the potential risks associated with them. Furthermore, it compares different fault detection and diagnostic methods developed for identifying and analyzing HVAC operational faults at the component or subsystem level. Additionally, the chapter introduces recent research and developments in the field of fault modeling and simulation tools.

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Authors and Affiliations

  1. School of Architecture and Planning, Hunan University, Changsha, China

    Rongpeng Zhang, Yu Yang & Chengkai Lin

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  1. Rongpeng Zhang
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  2. Yu Yang
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  3. Chengkai Lin
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Correspondence to Rongpeng Zhang .

Editor information

Editors and Affiliations

  1. Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo, China

    Tongyu Zhou

  2. College of Architecture and Urban Planning, Tongji University, Shanghai, China

    Yi Chen

  3. Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo, China

    Wu Deng

  4. Qingdao City University, Qingdao, China

    Ali Cheshmehzangi

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zhang, R., Yang, Y., Lin, C. (2023). Modeling of Building System Operational Faults for Improved Energy Efficiency. In: Zhou, T., Chen, Y., Deng, W., Cheshmehzangi, A. (eds) Smart Buildings and Technologies for Sustainable Cities in China. Urban Sustainability. Springer, Singapore. https://doi.org/10.1007/978-981-99-6391-1_5

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  • DOI: https://doi.org/10.1007/978-981-99-6391-1_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6390-4

  • Online ISBN: 978-981-99-6391-1

  • eBook Packages: Social SciencesSocial Sciences (R0)

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