Effects of intelligent strategy planning models on residential HVAC system energy demand and cost during the heating and cooling seasons

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• 作者：Nima Alibabaei^a ; ^{nima.alibabaei@ryerson.ca} ; Alan S. Fung^a ; ^{alanfung@ryerson.ca} ; Kaamran Raahemifar^b ; ^{kraahemi@ryerson.ca} ; Arash Moghimi^b ; ^{arash.moghimi@mail.utoronto.ca}
• 关键词：Advanced residential HVAC controller ; Strategy planning models ; Load shifting ; Fuel switching system ; Residential houses
• 刊名：Applied Energy
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：185
• 期：part_P1
• 页码：29-43
• 全文大小：5082 K
• 卷排序：185

文摘

Enhancing TRNSYS control process by developing a Matlab‐TRNSYS advanced controller. Developing a novel smart dual fuel switching system for residential HVAC system. Improving load shifting strategy by selecting optimum pre‐heating/cooling time. Minimizing residential HVAC system energy cost. Assessment of developed strategy planning models during heating and cooling seasons.