Control algorithms for dynamic windows for residential buildings
Abstract
This 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 casemore »
- Authors:
-
- Warsaw Univ. of Technology (Poland). Faculty of Civil Engineering
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Windows and Envelope Materials Group
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office
- OSTI Identifier:
- 1456919
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Energy and Buildings
- Additional Journal Information:
- Journal Volume: 109; Journal Issue: C; Related Information: © 2015 Elsevier B.V.; Journal ID: ISSN 0378-7788
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Shading control; Dynamic window; Energy consumption; NZEB; Daylight access; Residential buildings
Citation Formats
Firlag, Szymon, Yazdanian, Mehrangiz, Curcija, Charlie, Kohler, Christian, Vidanovic, Simon, Hart, Robert, and Czarnecki, Stephen. Control algorithms for dynamic windows for residential buildings. United States: N. p., 2015.
Web. doi:10.1016/j.enbuild.2015.09.069.
Firlag, Szymon, Yazdanian, Mehrangiz, Curcija, Charlie, Kohler, Christian, Vidanovic, Simon, Hart, Robert, & Czarnecki, Stephen. Control algorithms for dynamic windows for residential buildings. United States. https://doi.org/10.1016/j.enbuild.2015.09.069
Firlag, Szymon, Yazdanian, Mehrangiz, Curcija, Charlie, Kohler, Christian, Vidanovic, Simon, Hart, Robert, and Czarnecki, Stephen. Wed .
"Control algorithms for dynamic windows for residential buildings". United States. https://doi.org/10.1016/j.enbuild.2015.09.069. https://www.osti.gov/servlets/purl/1456919.
@article{osti_1456919,
title = {Control algorithms for dynamic windows for residential buildings},
author = {Firlag, Szymon and Yazdanian, Mehrangiz and Curcija, Charlie and Kohler, Christian and Vidanovic, Simon and Hart, Robert and Czarnecki, Stephen},
abstractNote = {This 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.},
doi = {10.1016/j.enbuild.2015.09.069},
journal = {Energy and Buildings},
number = C,
volume = 109,
place = {United States},
year = {Wed Sep 30 00:00:00 EDT 2015},
month = {Wed Sep 30 00:00:00 EDT 2015}
}
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Works referencing / citing this record:
Bioclimatic Strategies—A Way to Attain Climate Adaptability
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Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities
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Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities
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