Energy Efficiency of a Multizone Office Building: MPC-based Control and Simscape Modelling

Farah Gabsi, Frederic Hamelin, Remi Pannequin, Mohamed Chaabane

2017

Abstract

This paper deals with the problem of modelling and controlling a multi-zone office building to ensure its thermal comfort by an optimal and cost effective management of the energy consumption. A thermal behaviour analysis of the building is carried out using the SimscapeTM library in MATLAB/SimulinkR environment that leads to a multi-model representation. Based on this modelling, the Yalmip toolbox in the MATLAB programming environment or an iterative optimization algorithm can be used to solve the control optimisation problem. The design of a model predictive control associated with a wise choice of the cost function makes it possible to obtain in simulation substantial energy benefits.

Paper Citation

in Harvard Style

Gabsi F., Hamelin F., Pannequin R. and Chaabane M. (2017). Energy Efficiency of a Multizone Office Building: MPC-based Control and Simscape Modelling . In Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-241-7, pages 227-234. DOI: 10.5220/0006305002270234

in Bibtex Style

@conference{smartgreens17,
author={Farah Gabsi and Frederic Hamelin and Remi Pannequin and Mohamed Chaabane},
title={Energy Efficiency of a Multizone Office Building: MPC-based Control and Simscape Modelling},
booktitle={Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2017},
pages={227-234},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006305002270234},
isbn={978-989-758-241-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Energy Efficiency of a Multizone Office Building: MPC-based Control and Simscape Modelling
SN - 978-989-758-241-7
AU - Gabsi F.
AU - Hamelin F.
AU - Pannequin R.
AU - Chaabane M.
PY - 2017
SP - 227
EP - 234
DO - 10.5220/0006305002270234