Considering user participation in light of level and stages of self-selection in architectural design process (ADP)

Presenting the new definition of self-selection in Architectural Design Process (ADP) needs to clarify the edges of this new concept versus the others, which exist in design area. Referring to conducting content analysis in previous published studies, the general meaning of self-selection is a situation in which user decide to do something for themselves rather than do something that has chosen for them. On the other hand, different users’ and designers’ vision of self-selection make a connection with End User’s Personalization (EUP) and User Centered Design (UCD). Both self-selection and user participation indicate the user decision-making power. Consequently, for earning a high level of user satisfaction, users should allow to contribute partially or totally, in certain decision-making processes, which have normally considered as the typical responsibility of architects. This paper by gathering a close group dissection and using brainstorming method, has attempted to argue the levels and stages of user participation in order to discover and establish the level and stages of self-selection in ADP

Empirical Validation of Daylight Simulation Tool for a Test Office with Anidolic Daylighting System

ABSTRACT The use of simulation tools to evaluate the daylighting performances of building design attracts enormous interest for architects, engineers and researchers. Integrated Environmental Solution <Virtual Environment> (IES<VE>) is a software tool to daylighting design and analysis. It intends to simulate daylight in buildings and to predict illuminance. The aim of this research is to validate the IES software simulated results and results measured of scale physical model with installed Anidolic Daylighting System (ADS) in a building under real condition in a tropical area. Scaled model was constructed to be tested under real sky measurement. In additional, the same model was designed in the IES<VE> for measuring illuminance. Using this software to study in the ADS, it can be found that absolute work plane illuminance in the intermediate and overcast sky recorded mean difference from the measured results, with 4.6% and 3.8% respectively also DF results illustrated promising results with 4.5% in the overcast sky. However in sunny sky is illustrated high mean difference with relative error 57%, while the trend of these results is approximately similar but the luminance ratio results shown acceptable mean measurement in sunny sky with 2.8%. The simulation results prove that inside illuminance can be modeled with comparable accuracy for ADS under real sky conditions in the intermediate and overcast sky. For future study, validation of other parameters can be carried out such as the size of the ADS, window sizes, environment setting