Abstract
The purpose of this paper is to find the efficiency of window shades regarding building energy performance and explore the possibility of developing a model that enables users to find proper shades for their specific conditions. The paper investigates different options of shades and their related variables and finds the efficiency of the shades regarding energy load. Each variable was investigated for its effect on the heat loads. Results were used as input variables for neural network prediction model. A prediction model was developed and trained based on the previous simulation results. Ten different shade cases were used to test the accuracy of the prediction model, and the outcomes of the prediction model were compared with energy simulation results to find its robustness.
| Original language | English (US) |
|---|---|
| Pages | 1693-1698 |
| Number of pages | 6 |
| State | Published - 2009 |
| Externally published | Yes |
| Event | 11th International IBPSA Conference - Building Simulation 2009, BS 2009 - Glasgow, United Kingdom Duration: Jul 27 2007 → Jul 30 2007 |
Other
| Other | 11th International IBPSA Conference - Building Simulation 2009, BS 2009 |
|---|---|
| Country/Territory | United Kingdom |
| City | Glasgow |
| Period | 7/27/07 → 7/30/07 |
Keywords
- Energy
- Neural Network
- Performance
- Sensitivity
- Shade
ASJC Scopus subject areas
- Computer Science Applications
- Building and Construction
- Architecture
- Modeling and Simulation