Optimal control for the natural ventilation in buildings with large depth

Content Provider	Scilit
Author	Wang, Fulin Yan, Rui Liu, Yansheng
Copyright Year	2019
Description	Journal: Iop Conference Series: Materials Science and Engineering This article proposes an optimal control method for the natural ventilation in buildings with large depth. Through designing control strategy, constructing building model, simulating the performance of natural ventilation under different control strategies, the optimal positions of the natural ventilation opening at different floors are decided to achieve the maximum free cooling and minimum cooling consumptions while ensuring the indoor air quality healthy. By using simulation, the cooling energy consumptions at three typical climate conditions, i.e. cool day, warm day, and moderate day, are simulated under two different control strategies, i.e. the proposed optimal control and traditional on/off control of natural ventilation opening. Based on the simulated energy consumptions at the three typical climate conditions, the annual total cooling energy consumptions are estimated. The annual total energy consumptions of optimal control can save cooling energy by 43.5% compared with the traditional on/off control, which shows the energy saving potential and the application prospective of the proposed optimal control method.
Related Links	https://iopscience.iop.org/article/10.1088/1757-899X/609/5/052027/pdf
ISSN	17578981
e-ISSN	1757899X
DOI	10.1088/1757-899x/609/5/052027
Journal	Iop Conference Series: Materials Science and Engineering
Issue Number	5
Volume Number	609
Language	English
Publisher	IOP Publishing
Publisher Date	2019-10-23
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Materials Science and Engineering Civil Engineering Environmental Engineering Energy Saving Control of Natural Ventilation
Content Type	Text
Resource Type	Article