Are intelligent agents the key to optimizing building HVAC system performance?

被引：13
|
作者：
Kelly, George E. [1 ]
Bushby, Steven T. [1 ]
机构：
[1] NIST, Engn Lab, Bldg Environm Div, Gaithersburg, MD 20199 USA
来源：
HVAC&R RESEARCH | 2012年 / 18卷 / 04期
关键词：
D O I：
10.1080/10789669.2012.682693
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
This article describes the development and implementation of a simulation testbed used to study the concept of employing intelligent agents to optimize the performance of building HVAC systems. One-day simulated cost savings results are presented for intelligent agents employing both a simple optimization method and an advanced optimization method. The potential benefits and problems associated with each method are discussed, and recommendations are made for future research efforts leading to the application of intelligent agents in real building.
引用
收藏
页码：750 / 759
页数：10
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