Thermal dynamic modeling and simulation of a heating system for a multi-zone office building equipped with demand controlled ventilation using MATLAB/Simulink

Thermal dynamic modeling and simulation of a heating system for a multi-zone office building equipped with demand controlled ventilation using MATLAB/Simulink
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使用 MATLAB/Simulink 对配备需求控制通风的多区域办公楼供暖系统进行热动态建模和仿真

DOI:
10.1109/cirsyssim.2017.8023191
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发表时间:
2017
期刊:
2017 International Conference on Circuits, System and Simulation (ICCSS)
影响因子:
--
通讯作者:
Amirbahador Nasari
Amirbahador Nasari
中科院分区:
--
文献类型:
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作者:
A. Behravan;R. Obermaisser;Amirbahador Nasari

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办公楼的能源消耗显示出潜在的节能潜力。这些建筑物中的能源消耗的主要部分之一与供暖、通风和空调系统有关,这些系统将热条件保持在舒适区域内,并将室内空气质量保持在可接受的范围内。如今,建筑物管理系统的发展,以减少这些系统的能源消耗,除了为居住者提供舒适的条件。此外,这些复杂的系统可以面对不同的操作故障。为了诊断和检测这些故障,通过建模获得有关系统行为的知识是很重要的。本文介绍了一个可扩展的多区域办公建筑模型,建立在Matlab/Simulink中使用Simscape工具箱。该模型包含了建筑元素的热动力学和加热控制系统,它配备了按需控制通风。结果表明,该模型能够正确地描述和预测系统的动态特性。所提出的方法旨在用于楼宇自动化中的HVAC系统,特别关注故障诊断和检测。
Energy consumption of the office buildings demonstrates potential energy savings. One of the major parts of the energy consumption in these building is related to the heating, ventilation and air conditioning systems which keep thermal conditions in a comfort zone and indoor air quality in an acceptable range. Nowadays, building management systems are developed to reduce the energy consumption of these systems besides supplying occupants with comfort conditions. Furthermore, these complex systems can be faced by different operation faults. To diagnose and detect these faults, getting the knowledge about the system behavior through modeling is substantial. This paper introduces a scalable multi-zone office building model that was established in Matlab/Simulink using Simscape toolbox. The model contains the thermal dynamics of the building elements and the heating control system which is equipped with demand-controlled ventilation. The results show that the model can correctly describe and predict the dynamics of the system. The proposed approach is intended to be used for HVAC systems in building automation with a specific focus on faults diagnosis and detection.