Model predictive control of indoor microclimate: existing building stock comfort improvement
A. Ryzhov, H. Ouerdane, E. Gryazina, A. Bischi, and K. Turitsyn

TL;DR
This paper explores how model predictive control (MPC) can optimize indoor microclimate management in both modern and old buildings, improving occupant comfort and energy efficiency through advanced control strategies and considering various physical and occupancy factors.
Contribution
It introduces a comprehensive MPC framework for indoor climate control that accounts for physical effects, occupancy, and uncertainties, comparing its performance to traditional methods.
Findings
MPC achieves energy-efficient comfort in both modern and old buildings.
Ventilation system installation significantly improves air quality in old buildings.
Full MPC outperforms linearized MPC and on/off controllers in simulations.
Abstract
Home retrofitting provides a means to improve the basic energy and comfort characteristics of a building stock, which cannot be renewed because of prohibitive costs. We analyze how model predictive control (MPC) applied to indoor microclimate control can provide energy-efficient solutions to the problem of occupants' comfort in a variety of situations principally imposed by external weather and room occupancy. For this purpose we define an objective function for the energy consumption, and we consider two illustrative cases: one building designed and built in recent times with modern HVAC equipment, and one designed and built several decades ago with poor thermal characteristics and no dedicated ventilation system. Our model includes various physical effects such as air infiltration and indoor thermal "inertia mass" (inner walls, floor, ceiling, and furniture), and also accounts for the…
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