A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Control algorithms for dynamic windows for residential buildings
Highlights Five control algorithms for dynamic windows with different input data were compared. Simple and complex shading control strategies were developed. Two window configurations and four different climates were analyzed. Final and primary energy reduction, as well as maximization of time with shade up can be achieved. Automatic shade operation performs much better than manual operation.
Abstract The present study analyzes the influence of control algorithms for dynamic windows on energy consumption, number of hours of retracted shades during daylight and shade operations. Five different control algorithms – heating/cooling, simple rules, perfect citizen, heat flow and predictive weather were developed and compared. The performance of a typical residential building was modeled with EnergyPlus. The program Widow was used to generate a Bi-Directional Distribution Function (BSDF) for two window configurations. The BSDF was exported to EnergyPlus using the IDF file format. The EMS feature in EnergyPlus was used to develop custom control algorithms. The calculations were made for four locations with diverse climate. The results showed that: (a) use of automated shading with proposed control algorithms can reduce the site energy in the range of 11.6–13.0%; in regard to source (primary) energy in the range of 20.1–21.6%, (b) the differences between algorithms in regard to energy savings are not high, (c) the differences between algorithms in regard to number of hours of retracted shades are visible, (e) the control algorithms have a strong influence on shade operation and oscillation of shade can occur, (d) additional energy consumption caused by motor, sensors and a small microprocessor in the analyzed case is very small.
Control algorithms for dynamic windows for residential buildings
Highlights Five control algorithms for dynamic windows with different input data were compared. Simple and complex shading control strategies were developed. Two window configurations and four different climates were analyzed. Final and primary energy reduction, as well as maximization of time with shade up can be achieved. Automatic shade operation performs much better than manual operation.
Abstract The present study analyzes the influence of control algorithms for dynamic windows on energy consumption, number of hours of retracted shades during daylight and shade operations. Five different control algorithms – heating/cooling, simple rules, perfect citizen, heat flow and predictive weather were developed and compared. The performance of a typical residential building was modeled with EnergyPlus. The program Widow was used to generate a Bi-Directional Distribution Function (BSDF) for two window configurations. The BSDF was exported to EnergyPlus using the IDF file format. The EMS feature in EnergyPlus was used to develop custom control algorithms. The calculations were made for four locations with diverse climate. The results showed that: (a) use of automated shading with proposed control algorithms can reduce the site energy in the range of 11.6–13.0%; in regard to source (primary) energy in the range of 20.1–21.6%, (b) the differences between algorithms in regard to energy savings are not high, (c) the differences between algorithms in regard to number of hours of retracted shades are visible, (e) the control algorithms have a strong influence on shade operation and oscillation of shade can occur, (d) additional energy consumption caused by motor, sensors and a small microprocessor in the analyzed case is very small.
Control algorithms for dynamic windows for residential buildings
Firląg, Szymon (author) / Yazdanian, Mehrangiz (author) / Curcija, Charlie (author) / Kohler, Christian (author) / Vidanovic, Simon (author) / Hart, Robert (author) / Czarnecki, Stephen (author)
Energy and Buildings ; 109 ; 157-173
2015-09-27
17 pages
Article (Journal)
Electronic Resource
English
Control algorithms for dynamic windows for residential buildings
| Online Contents | 2015
Energy Gaining Windows for Residential Buildings
| British Library Conference Proceedings | 2008
Occupant behavior regarding the manual control of windows in residential buildings
| Online Contents | 2016
Heat parameters of multi-sash windows in residential buildings
| British Library Online Contents | 2018