OPTIMIZING THERMAL COMFORT AND ENERGY CONSUMPTION IN A LARGE BUILDING WITHOUT RENOVATION WORK

This paper proposes a new methodology to reduce energy consumptions in large buildings while simultaneously optimizing thermal comfort. The model designed with an energy simulation program is calibrated by the Covariance Matrix Adaptation Evolutionary Strategy using observations including consumptions, inside temperatures and comfort measurements such as CO 2 emissions obtained with sensors displayed in the building. The temperatures inside the building and the energy consumptions predicted by the calibrated model during a new time period are then compared to the corresponding observations. The model is then used to find a set of Pareto optimal schedulings and tunings of the building management system in terms of energy loads and thermal comfort using multi-objective optimization.