Year: 2021
Type: conference-paper
Abstract: Grey-box and black-box MPC approaches for building HVAC applications often use lumped, low-order models with a low level of detail.While such models require smaller computation times, their accuracy is limited and there are practical constraints related to data collection, how to deal with multi-zone buildings and they often do not explicitly model the building HVAC equipment.In this paper we present an alternative approach based on detailed white-box models.TACO, a custom toolchain that builds upon physics-based Modelica models and JModelica, is used to efficiently solve the resulting optimisation problems.This paper presents a realistic case study model of 79 zones and OCP results for this case study are discussed, demonstrating the feasibility of the approach and the underestimated potential of detailed white-box MPC.
DOI: 10.3384/ecp21181
Authors: Jorissen, Filip, Picard, Damien, Six, Kristoff, Helsen, Lieve
Institution: KU Leuven
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: G2402419929, G8826431287
OpenAlex ID: W4200416003
