Paper Conference

Proceedings of Building Simulation 2021: 17th Conference of IBPSA


Optimal control of TABS by Sparse MPC

Yasuyuki Shiraishi 1, Masaaki Nagahara 1, Dirk Saelens 2
1 The University of Kitakyushu, Japan
2 KU Leuven, Belgium

Abstract: In this paper, we propose a sparse model predictive control (MPC) methodology that offers the potential to realize additional energy savings and improved durability in air conditioning systems by reducing their frequency of use while maintaining control over their performance. The purpose of this study is to verify the effectiveness of sparse MPC by evaluating the control and energy-saving performance in general office spaces with thermally activated building systems (TABS); this is done by using unsteady computational fluid dynamics (CFD) coupled with MATLAB and Simulink. The results show that the proposed method reduced the average temperature control error on the TABS ceiling surface to be within a range of 0.3°C, reduced the five-day TABS operating time by around 14 h, and reduced the pumping energy by 39%.
Keywords: TABS, MPC, Sparse modeling, CFD
Pages: 1735 - 1741