• modeling and optimization of hvac systems using artificial neural network and genetic algorithm

    نویسندگان :
    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1392/07/24
    • تاریخ انتشار در تی پی بین: 1392/07/24
    • تعداد بازدید: 964
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     intelligent energy management and control system (emcs) in buildings offers an excellent means of reducing energy consumptions in hvac systems while maintaining or improving indoor environmental conditions. this can be achieved through the use of computational intelligence and optimization. the paper thus proposes and evaluates a model-based optimization process for hvac systems using evolutionary algorithm for optimization and artificial neural networks for modeling. the process can be integrated into the emcs to perform several intelligent functions and achieve optimal whole-system performance. the proposed models and the optimization process are tested using data collected from an existing hvac system. the testing results show that the models can capture very well the system performance, and the optimization process can reduce cooling energy consumption by about 11% when compared to the traditional operating strategies applied.

سوال خود را در مورد این مقاله مطرح نمایید :

با انتخاب دکمه ثبت پرسش، موافقت خود را با قوانین انتشار محتوا در وبسایت تی پی بین اعلام می کنم
مقالات جدیدترین ژورنال ها