کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5444807 | 1511113 | 2017 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
NeuroCool: field tests of an adaptive, model-predictive controller for HVAC systems
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی (عمومی)
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چکیده انگلیسی
We present the field test results on a novel model-predictive controller for HVAC systems, which minimizes the operational costs of the air-treatment unit while guaranteeing indoor comfort. Unlike traditional control systems, which usually ignore the building's physics and cannot use weather forecasts, this controller features an adaptive model of the controlled space and uses weather forecasts from a national weather forecasting service. We tested this controller on two real, occupied buildings during the summer of 2017 and compared its performance with the existing control system. The system performs at least as well as the original controller, while reducing the operational costs by about 20%.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Procedia - Volume 122, September 2017, Pages 127-132
Journal: Energy Procedia - Volume 122, September 2017, Pages 127-132
نویسندگان
Y. Stauffer, E. Olivero, E. Onillon, C. Mahmed, D. Lindelöf,