Publications

ALL YOU NEED TO KNOW ABOUT MODEL PREDICTIVE CONTROL IN BUILDINGS

01/10/2020 File size: 3mb

Authors: Ján Drgona, Javier Arroyo, Iago Cupeiro Figueroa, David Blum, Krzysztof Arendt, Donghun Kim, Enric Perarnau Ollé, Juraj Oravec, Michael Wetter, Draguna L. Vrabie, Lieve Helsen

This long-awaited paper is a review about MPC in buildings involving a large collaboration of partners from different institutions, a work that started a year and half ago.

Our partners from KU Leuven, Lieve Helsen and Iago Cupeiro Figuera collaborated on this paper, along with colleagues Javier Arroyo, with special focus in the objective function and estimator parts of the paper. There is a section on real implementation where the information is revisited by a former master thesis student Enric Perarnau.

It has been proven that advanced building control, like model predictive control (MPC), can notably reduce the energy use and mitigate greenhouse gas emissions. However, despite intensive research efforts, the practical applications are still in the early stages. There is a growing need for multidisciplinary education on advanced control methods in the built environment to be accessible for a broad range of researchers and practitioners with different engineering backgrounds. This paper provides a unified framework for model predictive building control technology with focus on the real-world applications. From a theoretical point of view, this paper presents an overview of MPC formulations for building control, modeling paradigms and model types, together with algorithms necessary for real-life implementation.

https://www.sciencedirect.com/science/article/pii/S1367578820300584?via%3Dihub

SHORT-TERM MODELING OF HYBRID GEOTHERMAL SYSTEMS FOR MODEL PREDICTIVE CONTROL

03/04/2020 File size: 2mb

Authors: Iago Cupeiro Figueroa, Damien Picard and Lieve Helsen

POTENTIAL OF THE MPC HYBRIDGEOTABS CONCEPT FOR BUILDINGS: LIBEZNICE SCHOOL

31/10/2019 File size: 587kb

Authors: Yauheni Kachalouski, Jiri Cigler and Lukas Ferkl

As a part of hybridGEOTABS project, Libeznice school is one of several demonstration cases that employs geothermal heat pump with Thermally Activated Building Systems (TABS) combined with Model Predictive Control (MPC) algorithms for heating and cooling. Benefits and potential of such a system is presented in this article.

The whole October Journal can be downloaded here:

https://www.rehva.eu/rehva-journal/detail/05-2019

REHVA JOURNAL ARTICLE FEBRUARY 2019

02/02/2019 File size: 592kb

Key Modules and Optimisation Approach for hybridGEOTABS Buildings: Background and state-of-the-art

Our consortium partners, Héctor Cano Esteban, Qian Wang, Jan Hoogmartens and Ongun Berk Kazanci introduce hybrid MPC GEOTABS and its key modules, and their optimisation in the REHVA Journal's February 2019 edition.

As the second article of a serial of project disseminations, this paper introduces the working principle of hybridGEOTABS, as well as their main components/modules. The optimization approach of key modules in common practice is also discussed. This article aims at providing a basic knowledge of the concept as a preparation for the up-coming optimization development and integration of the involved key modules.

Subjects wthin the article focus on:

Hydronic radiant heating and cooling systems : TABS and its optimization approach

Heat pump and secondary system module and its optimization

Geothermal and renewable supply module optimization

Read the full article here

REHVA JOURNAL ARTICLE JUNE 2018

08/06/2018 File size: 893kb

INSTALLATIE & BOUW APRIL 2018

02/04/2018

Gebouwen Kosteneffectief Maken - Met Model Predictive Control

Installatie & Bouw  April 2018 (p40-14) features an article by our consortium partner Filip Jorissen on MPC at Solarwind (Dutch)