Environmental Dataset for Simulation Model Tuning from a Roller Blind Control Study

This dataset supports the study “Optimal Temperature-Actuated Control of a Thermally-Insulated Roller Blind” [1], and was used to tune and validate an IDA ICE simulation model of a full-scale test cell equipped with an adaptive roller blind system. The dataset contains raw and processed environmental data, including outdoor weather conditions, solar radiation (horizontal, vertical, and albedo), and indoor air temperature for the best-performing blind control strategy. Also included are calibrated pyranometer readings and a weather file formatted for use in simulation software (EPW). This dataset enables accurate replication of the model calibration process and can be reused to tune similar dynamic building simulations or to test façade control strategies under varying environmental inputs.

[1] H. Alkhatib, P. Lemarchand, B. Norton, D.T.J. O’Sullivan, Optimal temperature-actuated control of a thermally-insulated roller blind, Build Environ 244 (2023) 110751. https://doi.org/10.1016/j.buildenv.2023.110751.