Experimental implementation of whole building MPC with zone based thermal comfort adjustments

被引:74
作者
Hilliard, Trent [1 ]
Swan, Lukas [1 ]
Qin, Zheng [2 ]
机构
[1] Dalhousie Univ, Dept Mech Engn, POB 15000, Halifax, NS B3H 4R2, Canada
[2] Green Power Labs, 1 Res Dr, Dartmouth, NS B2Y 4M9, Canada
关键词
Predictive control; Occupant feedback; Experimental results; MODEL-PREDICTIVE CONTROL; MEAN RADIANT TEMPERATURE; PHASE-CHANGE MATERIAL; NEURAL-NETWORKS; SYSTEM; HVAC; ENVIRONMENT; SIMULATION; OCCUPANCY; DEMAND;
D O I
10.1016/j.buildenv.2017.09.003
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents an experimental implementation of a whole building model predictive control (MPC) approach for a LEED gold certified academic building. The MPC is divided into portions for morning start and daytime optimization, to allow for specialized models to be used for the varying tasks. The MPC consists of a whole building optimization for energy that is supplemented with a zone operative temperature (ZOT) comfort metric. A ZOT based metric was used to evaluate thermal comfort, as traditional air temperature metrics neglect radiative impacts on comfort. The comfort metric is employed after the energy optimization to ensure comfort is the highest priority and maintained in each zone. A final layer of occupant feedback is incorporated to allow for users to provide feedback as to their comfort level and allow for changes in the comfort temperature range for their space. A four-month experimental test period shows a 29% HVAC electric energy reduction and a 63% thermal energy reduction compared to previous years for the same time period. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:326 / 338
页数:13
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