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首页> 外文期刊>Science and Technology for the Built Environment >Simulative study of a novel fuzzy demand controlled ventilation for facade-integrated decentralized systems in renovated residential buildings
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Simulative study of a novel fuzzy demand controlled ventilation for facade-integrated decentralized systems in renovated residential buildings

机译：一种新型模糊需求控制通风的仿真研究，用于翻新住宅建筑中的外立综合分散系统

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摘要

Decentralized mechanical ventilation systems had a sustainable growth in the past ten years in order to guarantee air exchange in highly airtight renovated residential buildings. Smart control strategies could provide a solution to the tradeoff between energy efficiency, hygrothermal comfort and indoor air quality. In this paper, a novel fuzzy demand controlled ventilation strategy is proposed, using state-of-the-art sensors often available in ventilation systems. The proposed controller is tested using a co-simulation approach and is compared to other typical mechanical ventilation control strategies. Results show that this approach provides around 25% energy savings in comparison to a constant airflow strategy, and around 12% against typical smart ventilation systems. The obtained differences regarding hygrothermal comfort and indoor air quality are negligible, and the proposed controller succeeds on keeping the indoor environment in the acceptable range. Finally, the developed fuzzy controller could potentially allow control systems to adapt to different occupant preferences, by tailoring the membership functions to each user.
机译：分散式机械通风系统在过去的十年中具有可持续增长，以保证高度密闭的装修住宅建筑物的空气交换。智能控制策略可以提供能效，湿热舒适和室内空气质量之间的权衡的解决方案。本文提出了一种新型模糊需求控制通风策略，使用最先进的传感器通常提供通风系统。通过共模拟方法测试所提出的控制器，并与其他典型的机械通气控制策略进行比较。结果表明，这种方法与恒定的气流策略相比，节省了大约25％的能量节省，以及典型的智能通风系统约12％。对湿热舒适性和室内空气质量的获得差异可以忽略不计，并且所提出的控制器成功地将室内环境保持在可接受的范围内。最后，通过将隶属函数定制到每个用户来说，开发的模糊控制器可能允许控制系统适应不同的乘员偏好。

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