eprintid: 3638
rev_number: 9
eprint_status: archive
userid: 69
dir: disk0/00/00/36/38
datestamp: 2017-01-24 13:21:02
lastmod: 2017-08-28 15:36:22
status_changed: 2017-01-24 13:21:02
type: article
metadata_visibility: show
creators_name: Khakimova, Albina
creators_name: Kusatayeva, Aliya
creators_name: Shamshimova, Akmaral
creators_name: Sharipova, Dana
creators_name: Bemporad, Alberto
creators_name: Familiant, Yakov
creators_name: Shintemirov, Almas
creators_name: Ten, Viktor
creators_name: Rubagotti, Matteo
creators_id: 
creators_id: 
creators_id: 
creators_id: 
creators_id: alberto.bemporad@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
creators_id: 
title: Optimal energy management of a small-size building via hybrid model predictive control
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: restricted
keywords: Model predictive control (MPC); Hybrid model predictive control (HMPC); Building control; Temperature control; Energy management systems
abstract: 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.
date: 2017-04
date_type: published
publication: Energy and Buildings
volume: 140
publisher: Elsevier
pagerange: 1-8
id_number: 10.1016/j.enbuild.2017.01.045
refereed: TRUE
issn: 0378-7788
official_url: http://www.sciencedirect.com/science/article/pii/S0378778817301652
citation:   Khakimova, Albina and Kusatayeva, Aliya and Shamshimova, Akmaral and Sharipova, Dana and Bemporad, Alberto and Familiant, Yakov and Shintemirov, Almas and Ten, Viktor and Rubagotti, Matteo  Optimal energy management of a small-size building via hybrid model predictive control.  Energy and Buildings, 140.  pp. 1-8.  ISSN 0378-7788      (2017)  
document_url: http://eprints.imtlucca.it/3638/1/energybuilding_hmpc.pdf