دانلود مقاله ISI انگلیسی شماره 46684
ترجمه فارسی عنوان مقاله

داده کاوی و عملکرد فضای سیستم گرمایش در مسکن ارزان قیمت

عنوان انگلیسی
Data mining of space heating system performance in affordable housing
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
46684 2015 13 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Building and Environment, Volume 89, July 2015, Pages 1–13

ترجمه کلمات کلیدی
داده کاوی - گرمایش فضا - مسکن ارزان قیمت - رفتار مستاجر - خوشه بندی - درخت های تصمیم گیری
کلمات کلیدی انگلیسی
Data mining; Space heating; Affordable housing; Occupant behavior; Clustering; Decision tree
پیش نمایش مقاله
پیش نمایش مقاله  داده کاوی و عملکرد فضای سیستم گرمایش در مسکن ارزان قیمت

چکیده انگلیسی

The space heating in residential buildings accounts for a considerable amount of the primary energy use. Therefore, understanding the operation and performance of space heating systems becomes crucial in improving occupant comfort while reducing energy use. This study investigated the behavior of occupants adjusting their thermostat settings and heating system operations in a 62-unit affordable housing complex in Revere, Massachusetts, USA. The data mining methods, including clustering approach and decision trees, were used to ascertain occupant behavior patterns. Data tabulating ON/OFF space heating states was assessed, to provide a better understanding of the intermittent operation of space heating systems in terms of system cycling frequency and the duration of each operation. The decision tree was used to verify the link between room temperature settings, house and heating system characteristics and the heating energy use. The results suggest that the majority of apartments show fairly constant room temperature profiles with limited variations during a day or between weekday and weekend. Data clustering results revealed six typical patterns of room temperature profiles during the heating season. Space heating systems cycled more frequently than anticipated due to a tight range of room thermostat settings and potentially oversized heating capacities. The results from this study affirm data mining techniques are an effective method to analyze large datasets and extract hidden patterns to inform design and improve operations.