Chance constrained stochastic MPC for building climate control under combined parametric and additive uncertainty

This paper presents a chance constrained stochastic model predictive control (SMPC) approach for building climate under combined parametric and additive uncertainties. The proposed SMPCap enables the quantification, manipulation, of both mean covariance system states inputs. Its enhanced uncertainty anticipation is shown to induce improved thermal comfort in closed-loop simulations compared conventional deterministic MPC (DMPC) state-of-the-art SMPCa only accounting uncertainties, at cost maximum relative increase energy use 21.6% 4.2%, respectively. By incorporating strategy an integrated optimal design (IOCD) approach, its additional added value obtaining more appropriate, yet robust, heat supply sizing illustrated. Via simulations, size reductions up 33.3% are be achievable terraced single-family dwelling without increasing discomfort IOCD DMPC.