A flexible and time-efficient schedule-based communication tool for integrated lighting and thermal simulations of spaces with controlled artificial lighting and complex fenestration systems.

Saved in:
Bibliographic Details
Title: A flexible and time-efficient schedule-based communication tool for integrated lighting and thermal simulations of spaces with controlled artificial lighting and complex fenestration systems.
Authors: Vera, Sergio, Bustamante, Waldo, Molina, Germán, Uribe, Daniel
Source: Journal of Building Performance Simulation; Jun2016, Vol. 9 Issue 4, p382-396, 15p
Subject Terms: LIGHTING research, FENESTRATION (Architecture), ARCHITECTURAL details, THERMAL analysis, LUA (Computer program language)
Abstract: Complex Fenestration Systems (CFS) incorporate a non-specular layer within the window assembly (e.g. undulated and perforated screens). CFS are often incorporated to the building façade for improving building thermal and visual performance. Thermal–lighting simulations of spaces with CFS are carried out with different tools. However, an integrated lighting and thermal analysis is a complex task to be implemented at the design stage of buildings that incorporates CFS. This paper presentsmkSchedule, a new Radiance-based tool that allows the flexible and time-efficient generation of a schedule for the CFS position and luminaries power fraction. The methodology incorporates the three-phase method and use scripts written in Lua programming language. The schedule can be used for detailed thermal–lighting simulations. This work presents the application of this methodology to an office space, showing that the methodology is flexible enough to set different CFS and luminaries' controls, providing annual schedule in short computing time. [ABSTRACT FROM PUBLISHER]
Copyright of Journal of Building Performance Simulation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
Be the first to leave a comment!
You must be logged in first