Switchable window modeling. Task 12: Building energy analysis and design tools for solar applications, Subtask A.1: High-performance glazing
This document presents the work conducted as part of Subtask A.1, High-Performance Glazing, of Task 12 of the IEA Solar Heating and Cooling Program. At the start of the task, the participants agreed that chromogenic technology (switchable glazing) held considerable promise, and that algorithms to accurately model their dynamic behavior were needed. The purpose of this subtask was to develop algorithms that could be incorporated into building energy analysis programs for predicting the thermal and optical performance of switchable windows. The work entailed a review of current techniques for modelling switchable glazing in windows and switchable windows in buildings and methods for improving upon existing modeling approaches. The proposed approaches correct some of the shortcomings in the existing techniques, and could be adapted for use in other similar programs. The proposed approaches generally provide more detailed calculations needed for evaluating the short-term (hourly and daily) impact of switchable windows on the energy and daylighting performance of a building. Examples of the proposed algorithms are included.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); International Energy Agency, 75 - Paris (France). Solar Heating and Cooling Programme
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC03-76SF00098
- OSTI ID:
- 10192481
- Report Number(s):
- LBL-32617; BS-304; ON: DE94002261
- Resource Relation:
- Other Information: PBD: 30 Jun 1992
- Country of Publication:
- United States
- Language:
- English
Similar Records
Application of large-area chromogenics to architectural glazings
Energy Simulation studies in IEA/SHC Task 18 advanced glazing and associated materials for solar and building applications