Development of window scheduler algorithm exploiting natural ventilation and thermal mass for building energy simulation and smart home controls

Author:

Yoon NariORCID,Norford LeslieORCID,Wetter Michael,Malkawi Ali

Funder

US Department of Energy

University of Ulsan

National Research Foundation of Korea

Korea Ministry of Science and ICT

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference53 articles.

1. International survey on current occupant modelling approaches in building performance simulation;O'Brien;J. Build. Perform. Simul.,2017

2. Window-opening behavior in Chinese residential buildings across different climate zones;Lai;Build. Environ.,2018

3. A study on influential factors of occupant window-opening behavior in an office building in China;Pan;Build. Environ.,2018

4. Experimental assessment of the impact of natural ventilation on indoor air quality and thermal comfort conditions of educational buildings in the Eastern Mediterranean region during the heating period;Heracleous;J. Build. Eng.,2019

5. Automatic ventilation control algorithm considering the indoor environmental quality factors and occupant ventilation behavior using a logistic regression model;Kim;Build. Environ.,2019

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