Please use this identifier to cite or link to this item:
Title: Optimal energy management of a small-size building via hybrid model predictive control
Authors: Khakimova, A.
Kusatayeva, A.
Shamshimova, A.
Sharipova, D.
Bemporad, A.
Familiant, Y.
Shintemirov, A.
Ten, V.
Rubagotti, Matteo
First Published: 20-Jan-2017
Publisher: Elsevier
Citation: Energy and Buildings, 2017, 140, pp. 1-8
Abstract: This paper presents the design of a Model Predictive Control (MPC) scheme to optimally manage the thermal and electrical subsystems of a small-size building (“smart house”), with the objective of minimizing the expense for buying energy from the grid, while keeping the room temperature within given time-varying bounds. The system, for which an experimental prototype has been built, includes PV panels, solar collectors, a battery pack, an electrical heater in a thermal storage tank, and two pumps on the solar collector and radiator hydraulic circuits. The presence of binary control inputs together with continuous ones naturally leads to using a hybrid dynamical model, and the MPC controller solves a mixed-integer linear program at each sampling instant, relying on weather forecast data for ambient temperature and solar irradiance. The procedure for controller design is reported with focus on the specific application, and the proposed method is successfully tested on the experimental site.
DOI Link: 10.1016/j.enbuild.2017.01.045
ISSN: 0378-7788
eISSN: 1872-6178
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © the authors, 2017. This article is distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License ( ), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Description: The file associated with this record is embargoed until 12 months after the date of publication. The final published version may be available through the links above.
Appears in Collections:Published Articles, Dept. of Engineering

Files in This Item:
File Description SizeFormat 
ENB_D_16_01914.pdfPost-review (final submitted author manuscript)5.61 MBAdobe PDFView/Open

Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.