Open AccessOptimal control for the natural ventilation in buildings with large depth
Author(s) -
Fulin Wang,
Rui Yan,
Yansheng Liu
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/609/5/052027
Subject(s) - natural ventilation , ventilation (architecture) , optimal control , energy (signal processing) , control (management) , indoor air quality , environmental science , computer science , efficient energy use , simulation , engineering , environmental engineering , mathematical optimization , mathematics , mechanical engineering , electrical engineering , statistics , artificial intelligence
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.