A novel high-dimensional sensor calibration framework integrating thermodynamic laws in complex HVAC systems

IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Energy and Buildings Pub Date : 2024-11-22 DOI:10.1016/j.enbuild.2024.115098
Chengchu Yan , Kai Hu , Chao Xu , Chaoqun Zhuang , Junjian Fang , Yanfeng Gong
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Abstract

Accurate calibration of sensors is critical for ensuring energy efficient operation of Heating, Ventilation, and Air Conditioning (HVAC) systems in buildings. Due to the high dimensionality of sensor data and the complexity of multiple-fault scenarios, calibrating sensors in large and complex HVAC systems presents significant challenges. To address this issue, this study introduces a novel sensor calibration framework that integrates thermodynamic laws for high-dimensional sensor calibration in complex HVAC systems. The traditional calibration method heavily relies on accurate data, making it difficult to apply in practical engineering projects. The innovative aspect of our method lies in its integration of thermodynamic laws, such as mass balance and energy conservation, with sensor calibration framework. This approach enables the framework to handle high-dimensional sensor measurements effectively without any training data. We compared five optimization algorithms and applied them to a central cooling system in Hong Kong. The results demonstrated that the simulated annealing (SA) is the most robust for solving the calibration problem, even in scenarios with up to 21 faulty sensors, with the calibrated sensor accuracy meeting the standards for conventional chiller plant operations. This novel framework provides a robust and reliable solution for high-dimensional sensor calibration in large and complex HVAC systems, addressing the growing need for precise sensor calibration as the number of installed sensors increases.
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在复杂暖通空调系统中整合热力学定律的新型高维传感器校准框架
传感器的精确校准对于确保楼宇供暖、通风和空调(HVAC)系统的节能运行至关重要。由于传感器数据的高维度和多重故障场景的复杂性,在大型复杂的暖通空调系统中校准传感器面临着巨大的挑战。为解决这一问题,本研究引入了一种新型传感器校准框架,该框架整合了热力学定律,可用于复杂暖通空调系统中的高维传感器校准。传统的校准方法严重依赖精确数据,因此很难应用于实际工程项目中。我们方法的创新之处在于将质量平衡和能量守恒等热力学定律与传感器校准框架相结合。这种方法使该框架能够在没有任何训练数据的情况下有效处理高维传感器测量。我们比较了五种优化算法,并将其应用于香港的中央冷却系统。结果表明,即使在多达 21 个故障传感器的情况下,模拟退火(SA)在解决校准问题方面也是最稳健的,校准后的传感器精度达到了传统冷水机组运行的标准。这种新颖的框架为大型复杂暖通空调系统中的高维传感器校准提供了稳健可靠的解决方案,满足了随着安装传感器数量的增加而不断增长的精确传感器校准需求。
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来源期刊
Energy and Buildings
Energy and Buildings 工程技术-工程:土木
CiteScore
12.70
自引率
11.90%
发文量
863
审稿时长
38 days
期刊介绍: An international journal devoted to investigations of energy use and efficiency in buildings Energy and Buildings is an international journal publishing articles with explicit links to energy use in buildings. The aim is to present new research results, and new proven practice aimed at reducing the energy needs of a building and improving indoor environment quality.
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