Challenges, benefits, and open questions in Data-Driven Commercial Building Cooling Optimization

Abstract

The rising demand for building cooling presents a challenge, expected to triple energy usage by 2050. European Parliament targets a 40% reduction in final energy and 42.5% in primary energy by 2030. This paper examines data-driven solutions in Building Management Systems (BMS) for energy-efficient cooling. It outlines challenges, benefits, and open questions in Data-Driven Commercial Building Cooling Optimization. By integrating data-driven techniques with current infrastructure, it proposes sustainable cooling practices. Results indicate potential energy reductions of up to 24%, lower costs, and prolonged system lifespan. This research addresses cooling deficiencies, providing practical, lasting energy efficiency solutions for commercial buildings.