کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
248253 502555 2014 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Model predictive control strategies for buildings with mixed-mode cooling
ترجمه فارسی عنوان
استراتژی های کنترل پیش بینی مدل برای ساختمان های خنک کننده مخلوط حالت
کلمات کلیدی
ساختمان های مخلوط، خنک کننده حالت ترکیبی کنترل پیش بینی مدل، تهویه طبیعی، مدلسازی حرارتی و جریان هوا ساختمان، بهینه سازی ذرات ذرات
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی


• Developed MPC strategies for buildings with mixed-mode cooling.
• Identified optimal control sequences coordinated with shading.
• Compared MPC with rule-based heuristic control used in current practice.
• Demonstrated potential performance bounds in terms of energy savings.

The paper presents model predictive control (MPC) strategies for buildings with mixed-mode cooling (window opening position, fan assist, and night cooling schedule) and demonstrates their potential performance bounds in terms of energy savings within thermal comfort constraints, in comparison with standard heuristic rules used in current practice. The study also identifies optimal control sequences coordinated with shading, for the control of solar gains. A transient, multi-zone building energy prediction model, with a coupled thermal and airflow network, is developed in MATLAB, and it is used within an offline MPC framework with Particle Swarm Optimization (embedded in GenOpt) as an optimizer. Simulations are performed for a period of six consecutive summer days with mixed-mode cooling strategies decided by the predictive controller, based on weather forecast and cooling load anticipation over a 24 h planning horizon. The results show that MPC can significantly reduce the cooling requirements compared to baseline night setback control while maintaining the operative temperature during the occupied period within acceptable limits. On the contrary, rule-based control strategies for the window opening position, based on simple heuristics for the outdoor conditions, create an increased risk of overcooling with lower thermal comfort acceptability.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Building and Environment - Volume 71, January 2014, Pages 233–244
نویسندگان
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