Paper Conference

2020 Building Performance Analysis Conference and SimBuild co-organized by ASHRAE and IBPSA-USA

     

DATA-DRIVEN PREDICTIVE CONTROL FOR COMMERCIAL BUILDINGS WITH MULTIPLE ENERGY FLEXIBILITY SOURCES

Anjukan Kathirgamanathan, Mattia De Rosa, Eleni Mangina, Donal Finn

Abstract: Data-Driven Predictive Control, representing the building as a cyber-physical system, shows promising potential in harnessing energy flexibility f o r demand side management, where the efforts in developing a physics-based model can be significant. Here, predictive control using random forests is applied in a case study closed-loop simulation of a large office building with multiple energy flexibility s o urces, thereby testing the suitability of the technique for such buildings. Further, consideration is given to the feature selection and feature engineering process. The results show that the data-driven predictive control, under a dynamic grid signal, is capable of minimising energy consumption or energy cost.
Pages: 9 - 18
Paper:
simbuild2020_C002