• illuminance-based slat angle selection model for automated control of split blinds

    نویسندگان :
    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1390/01/01
    • تاریخ انتشار در تی پی بین: 1390/01/01
    • تعداد بازدید: 416
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     venetian blinds play an important role in controlling daylight in buildings. automated blinds overcome some limitations of manual blinds; however, the existing automated systems mainly control the direct solar radiation and glare and cannot be used for controlling innovative blind systems such as split blinds. this research developed an illuminance-based slat angle selection (isas) model that predicts the optimum slat angles of split blinds to achieve the designed indoor illuminance. the model was constructed based on a series of multi-layer feed-forward artificial neural networks (anns). the illuminance values at the sensor points used to develop the anns were obtained by the software energyplus™. the weather determinants (such as horizontal illuminance and sun angles) were used as the input variables for the anns. the illuminance level at a sensor point was the output variable for the anns. the isas model was validated by evaluating the errors in the calculation of the: 1) illuminance and 2) optimum slat angles. the validation results showed that the power of the isas model to predict illuminance was 94.7% while its power to calculate the optimum slat angles was 98.5%. for about 90% of time in the year, the illuminance percentage errors were less than 10%, and the percentage errors in calculating the optimum slat angles were less than 5%. this research offers a new approach for the automated control of split blinds and a guide for future research to utilize the adaptive nature of anns to develop a more practical and applicable blind control system.

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