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.

分散式机械通风系统在过去十年中实现了可持续增长，以确保高度气密性翻新的住宅建筑中的空气交换。智能控制策略可以为能源效率，湿热舒适度和室内空气质量之间的折衷提供解决方案。在本文中，提出了一种新颖的模糊需求控制通风策略，该方法使用了通风系统中经常使用的最新传感器。拟议的控制器使用协同仿真方法进行了测试，并与其他典型的机械通风控制策略进行了比较。结果表明，与恒定气流策略相比，此方法可节省约25％的能源，而与典型的智能通风系统相比，该方法可节省约12％的能源。所获得的关于湿热舒适度和室内空气质量的差异可以忽略不计，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，通过为每个用户量身定制成员资格功能，开发的模糊控制器可以潜在地允许控制系统适应不同的乘员偏好。