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

机译:单户加州房屋中的占用和温度的智能通风控制方法的节能估计

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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:由于房屋响应能源效率问题和建筑规范的变化而变得更加空气,因此需要新的通风解决方案,以便在最小化能量使用的同时提供健康的室内环境。这在加利福尼亚州尤其如此,其2019年标题24标准通过规定的空气密封和性能要求鼓励紧密信封,并在所有新房子内都需要全面的机械通风。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操作。在这项研究中,我们调查了节能益处和室内空气质量改进,可用于四种非常不同的加州气候区通风的“智能”控制策略。我们在加利福尼亚州的两位代表标题24标题的24个原型房屋的详细模型模拟了多种控制策略的年度运作。我们通过协同仿真通过EnergyPlus建筑能量软件和CONT,气流和室内空气质量模拟软件以及控制变量的自动化Python参数分析来实现这一目标。所有模拟都采用了Sharrae标准62.2-2016中概述的单一井混合区和等效通风方法。结果显示了几个有趣的趋势,我们希望能够通过处理动态控制的通风的方法来帮助通知标准开发团队,家庭建筑物,消费者和智能通风设备制造商。一般来说,控制策略包括基于对室外空气温度的感测而优化的优化,这些策略绝不是。其中,温度截止策略几乎和更复杂的可变气流和可变暴露目标策略。仅基于占用的控制策略是最糟糕的表现之一。其他问题需要更多的调查,例如在日常移位策略上的季节转移策略的可接受性,以及使用最大曝光限制。这项工作是基于个体污染物测量的多区控制和控制持续工作的基础。

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