TITLE:
AC Scheduling Based on Thermodynamics of Indoor for On-Campus Small Data
AUTHORS:
Hyun Duck Choi, Soon Woo Rhee, Choon Ki Ahn, Myo Taeg Lim
KEYWORDS:
Home Energy Management System (HEMS), Least-Square, Convex Optimization, Demand Response (DR), Air-Conditioning (AC)
JOURNAL NAME:
Journal of Power and Energy Engineering,
Vol.3 No.4,
April
14,
2015
ABSTRACT: This paper proposes a new day-ahead control
scheme of an air conditioning (AC) based on thermodynamic model of
indoor-temperature. The thermodynamic model of indoor-temperature can be
achieved by modified first-order thermal dynamic equation. For the practical
verification of proposed model, we implemented the home energy management
system (HEMS) in the laboratory and used real experiment data sets. The proposed
model can be represented by a state-space model of indoor-temperature and its
parameters are obtained by least square algorithm. Through the proposed
thermodynamic model, indoor-temperature can be predicted closely, and a
behavior pattern of AC can also be achieved. This research involves the
experimental verification of the proposed approach and communication architecture
between the aggregator and a system user in a laboratory environment.