Multi-objective optimization of energy efficiency and thermal comfort in public office buildings. Critical summer period in the city of San Juan -Argentina

Abstract

Buildings represent 40% of the world's energy demand and CO2 emissions. In Argentina, buildings are responsible for 40% of the total annual energy consumption. The problem lies in an imbalance between the need to provide a high quality of life and comfort in office spaces, and the high energy cost required to meet that goal. Both a high comfort level and energy savings represent two objectives to be achieved. In this sense, this paper proposes a new methodology that combines onsite measurement with mathematical simulation tools. Innovative techniques and models are incorporated to make the tool, applying thermal-energy multi-objective optimization, which operates dynamically during working hours. The results show significant savings in energy consumption regarding cooling office spaces in the summer, from 57.5% to 83.3%, together with an increase in the thermal comfort quality, with improvements between 4.7% and 29.4%.