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Optimal energy management of a small-size building via hybrid model predictive control

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posted on 2017-01-30, 14:45 authored by A. Khakimova, A. Kusatayeva, A. Shamshimova, D. Sharipova, A. Bemporad, Y. Familiant, A. Shintemirov, V. Ten, Matteo Rubagotti
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.

History

Citation

Energy and Buildings, 2017, 140, pp. 1-8

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Engineering

Version

  • AM (Accepted Manuscript)

Published in

Energy and Buildings

Publisher

Elsevier

issn

0378-7788

eissn

1872-6178

Acceptance date

2017-01-14

Copyright date

2017

Available date

2018-01-20

Publisher version

http://www.sciencedirect.com/science/article/pii/S0378778817301652

Notes

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.

Language

en

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