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Energy Savings Estimates for Occupancy and Temperature-based Smart Ventilation Control Approaches in Single-family California Homes

机译:加利福尼亚单户家庭中基于占用率和温度的智能通风控制方法的节能估算

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As homes become more air-tight in response to energy efficiency concerns and changes in building codes, new ventilation solutions are needed in order to provide for a healthy indoor environment while minimizing energy use. This is especially true in the state of California, whose 2019 Title 24 Standard encourages tight envelopes through prescriptive air sealing and performance requirements, and requires whole-house mechanical ventilation in all new homes. One such solution employs a real-time assessment of the indoor environment and dynamic operation of a ventilation system. In this study, we investigated the energy savings benefits and indoor air quality improvement available with such a "smart" control strategy for ventilation in four very different California climate zones. We simulated annual operation of multiple control strategies on detailed models of two representative Title 24-compliant prototype homes in California. We did this through co-simulation of the EnergyPlus building energy software and CONTAM, an airflow and indoor air quality simulation software, and an automated Python-based parametric analysis of control variables. All simulations employed the assumption of a single well-mixed zone and the equivalent ventilation method outlined in ASHRAE Standard 62.2-2016. Results show several interesting trends which we hope will help inform standards-development teams, home builders, consumers, and smart ventilation equipment manufacturers in their approach to dealing with dynamically controlled ventilation. In general, control strategies which included optimisation based on sensing of outdoor air temperature vastly outperformed strategies which did not. Among these, a temperature cutoff strategy performed nearly as well as more complex variable airflow and variable-exposure-target strategies. Control strategies based solely on occupancy were among the worst performing. Other issues require more investigation such as the acceptability of a seasonal shifting strategy over a daily shifting strategy, and the use of a maximum exposure limit. This work serves as the foundation for ongoing work on multi-zone control and control based on individual pollutant measurements.
机译:随着人们对能源效率的关注和建筑法规的变化,房屋变得更加气密,因此需要新的通风解决方案,以提供健康的室内环境,同时最大程度地减少能源消耗。在加利福尼亚州尤其如此,其2019年《 Title 24标准》通过规定的空气密封和性能要求来鼓励紧密的围护结构,并且在所有新房屋中都需要整个房屋进行机械通风。一种这样的解决方案采用对室内环境的实时评估和通风系统的动态运行。在这项研究中,我们研究了在四个非常不同的加利福尼亚气候区使用这种“智能”控制策略进行通风的节能效果和室内空气质量改善。我们在加利福尼亚州两个符合Title 24标准的原型房屋的详细模型上模拟了多种控制策略的年度运营情况。我们通过对EnergyPlus建筑能耗软件和CONTAM,气流和室内空气质量模拟软件以及基于Python的基于自动的控制变量参数分析的共同仿真来完成此任务。所有模拟均采用单个充分混合区域的假设以及ASHRAE标准62.2-2016中概述的等效通风方法。结果显示了几个有趣的趋势,我们希望这些趋势将有助于标准制定团队,房屋建筑商,消费者和智能通风设备制造商了解其处理动态受控通风的方法。通常,包括基于室外空气温度感测的优化在内的控制策略,其性能远远超过了其他策略。其中,温度截断策略几乎与更复杂的可变气流和可变暴露目标策略一样有效。仅基于占用率的控制策略是表现最差的策略之一。其他问题还需要更多调查,例如季节性变化策略相对于每日变化策略的可接受性,以及最大暴露限值的使用。这项工作是正在进行的多区域控制和基于单个污染物测量的控制的基础。

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