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Ventilation Control and Ventilation Performance of Multi-zone Air Conditioning Systems.

机译:多区域空调系统的通风控制和通风性能。

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摘要

The indoor air quality (IAQ) and energy consumption of buildings have received increasing concern over the last twenty years. The optimal ventilation control of multi- zone VAV Air-conditioning (HVAC) systems provides great potential in reducing energy consumption while ensuring acceptable IAQ and satisfactory thermal comfort. However, most of them cannot always maintain satisfying ventilation performance due to variable indoor thermal comfort and pollution sources of different ventilation zones. Another important issue is that the modeling of the space ventilation usually uses perfect mixing models in conventional dynamic ventilation simulations to test and evaluate the control of air-conditioning systems. However, the complete-mixing air model fails to consider the impact of non-uniform air temperature stratifications on the ventilation performance.;Therefore, the aim of this study is to develop an online ventilation optimal control strategies for multi-zone air-conditioning systems to minimize the overall system energy consumption while maintaining satisfactory IAQ. A CFD-based virtual ventilation test system is also developed to evaluate the dynamic ventilation performance by taking account of indoor air stratification phenomena using a CFD-based space temperature offset model. The aim is achieved through addressing the following objectives. (1) Develop a CO2-based adaptive Demand Controlled Ventilation (DCV) strategy, (2) Develop an indoor air temperature set point reset strategy for critical zones, (3) Develop a model-based indoor air temperature set point resetting strategy for critical zones, and (4) Develop a model-based outdoor air flow rate optimal control strategy for a full air system with primary air handling units. In addition, a CFD-based ventilation test method is developed for control and optimization of the indoor environment by combining a ventilated room with a ventilation control system in a simulated environment.;A simulation package developed on the Transient Simulation Program (TRNSYS) is used as the simulation platform to validate and evaluate the performance of the proposed different ventilation optimal control strategies. The test results showed that about 1.01%∼17.7% energy in the system under investigation can be saved when using these optimal control strategies when compared with the conventional ventilation control strategies.
机译:在过去的20年中,建筑物的室内空气质量(IAQ)和能耗越来越受到关注。多区域VAV空调(HVAC)系统的最佳通风控制在降低能耗的同时确保确保可接受的IAQ和令人满意的热舒适性具有巨大潜力。然而,由于室内热舒适度的变化以及不同通风区域的污染源,它们中的大多数不能始终保持令人满意的通风性能。另一个重要的问题是,空间通风的建模通常在常规动态通风模拟中使用完美的混合模型来测试和评估空调系统的控制。但是,全混合空气模型没有考虑空气温度分层不均匀对通风性能的影响。因此,本研究的目的是为多区域空调系统开发一种在线通风最优控制策略。在保持令人满意的室内空气质量的同时,将整个系统的能耗降至最低。还开发了基于CFD的虚拟通风测试系统,通过使用基于CFD的空间温度补偿模型考虑室内空气分层现象来评估动态通风性能。该目标是通过实现以下目标来实现的。 (1)制定基于CO2的自适应需求控制通风(DCV)策略,(2)制定针对关键区域的室内空气温度设定点重置策略,(3)制定针对关键区域的基于模型的室内空气温度设定点重置策略(4)为带有主要空气处理单元的全空气系统开发基于模型的室外空气流量最佳控制策略。此外,还开发了一种基于CFD的通风测试方法,通过在模拟环境中将通风房间与通风控制系统相结合来控制和优化室内环境。;使用了基于瞬态仿真程序(TRNSYS)开发的仿真程序包作为仿真平台,以验证和评估所提出的不同通风最佳控制策略的性能。测试结果表明,与传统的通风控制策略相比,使用这些最优控制策略可以节省约1.01%〜17.7%的能源。

著录项

  • 作者

    Sun, Zhongwei.;

  • 作者单位

    Hong Kong Polytechnic University (Hong Kong).;

  • 授予单位 Hong Kong Polytechnic University (Hong Kong).;
  • 学科 Engineering Architectural.;Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 246 p.
  • 总页数 246
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:36:58

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