Thermal zoning and window optimization framework for high-rise buildings. (15th June 2021)

• Record Type: Journal Article
• Authors: Kahsay, Meseret T.; Bitsuamlak, Girma T.; Tariku, Fitsum
• Is Part Of: Applied energy. Volume 292(2021)
• Publication Date: 2021-06-15
• Subjects: Thermal zoning -- Window configuration -- Simulation-based energy optimization -- Convective heat transfer -- CFD -- High-rise building; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2021.116894
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: A framework for simulation-based window configuration optimization is developed. Validated the accuracy of CFD to predict temperature distribution on the windward façade. Developed new zonal convective heat transfer coefficent correlations for rooms at a different location. Window geometry is optimized for heating, cooling, and daylight performance. Optimal window configurations are presented in the form of Pareto fronts. Abstract: Window sizing and configuration can have a significant influence on building energy consumption. Window selection often has a conflicting objective on heating, cooling, and lighting performance. The smaller window performs better on controlling heat loss in winter and solar heat gain in summer, while the larger window performs better on providing views, daylight, and solar heat gains in winter. Also, the energy consumption analyses of high-rise buildings have some fundamental limitations that include the changes in microclimate parameters with altitude, the treatment of building size, uncertainties associated with the existing convective heat transfer coefficients correlations (CHTC). This study provides a framework for simulation-based optimization of window configuration for a high-rise building to minimize its energy consumption. The technique involves CFD modeling to validate and develop new-CHTCs, a Building Energy Simulation used to assess the energy consumption using the newly developed CHTC, and a numerical optimizer for iterative optimal window configuration selection. The decision parameters are window size and room location. The thermal comfort temperature set points and daylight illuminance are taken as constraints. The proposed approach is implemented as a case study on a single by single room model basis positioned at different heights in an isolated 100 m tall building exposed to Boston, MA microclimate. For a room located on the 2nd, 15th, and 29th floor, an optimum window configuration of 30%, 48%, and 30%, window-to-wall ratio, respectively, are obtained.