Paper Info
Title
Optimal Personal Comfort Management Using SPOT+.
Abstract
We present SPOT+, a system that allows office workers to optimally balance between heating energy consumption and personal thermal comfort. In prior work, we described SPOT: a smart personal thermal control system based on reactive control [8]. In contrast, the SPOT+ system performs predictive control. Specifically, SPOT+ uses the k-nearest-neighbour algorithm to predict room occupancy and learning-based model predictive control (LBMPC) to predict future room temperature and to compute the optimal sequence of control inputs. This allows the system to schedule future temperature setpoints to optimize an objective function expressed as a linear combination of thermal comfort and energy consumption. We have deployed SPOT+ as well as four other alternative control schemes in an office workspace. We find that SPOT+ reduces energy usage by 60% compared to a fixed-temperature setpoint and reduces personal thermal discomfort from 0.36 to 0.02 (in the ASHRAE comfort scale) compared to SPOT.
Year
DOI
Venue
2013
10.1145/2528282.2528297
BuildSys@SenSys
Keywords
Field
DocType
thermal comfort,personal thermal discomfort,ashrae comfort scale,energy consumption,alternative control scheme,personal thermal comfort,optimal personal comfort management,smart personal thermal control,control input,reactive control,predictive control,energy management
Energy management,Workspace,Simulation,Model predictive control,Setpoint,Thermal comfort,Engineering,Reactive control,Energy consumption,ASHRAE 90.1
Conference
Citations 
PageRank 
References 
17
1.43
4
Authors
2
Name
Order
Citations
PageRank
Peter Xiang Gao129913.04
Srinivasan Keshav23778761.32