Data-Driven Environmental Informatics For Enhancing Energy Efficiency In Smart Building Envelopes: A Management-CSE Integration

Abstract

Smart building envelope has proved to be an innovation in creating a sustainable urban environment when it comes to energy efficiency. Thermal performance and environmental control systems should be optimized with the rise of energy demands because of the growing rates of rapid urbanization and climate fluctuations. The paper suggests a hybrid environmental informatics framework with a hybrid environmental system comprising of algorithm of Computer Science Engineering (CSE) and Management Science measure to increase energy performance of building envelopes. The study is carried out in Mumbai, Pune, and Bengaluru where real-time thermal dynamics, the rate of ventilation, and adaptive behaviors of insulation by means of sensor-driven Internet of Things (IoT) networks, historical consumption data, and Building Information Modeling (BIM) are captured within the commercial complexes in real time. Machine learning models Random Forest, XGBoost, and LSTM are trained on data-driven insights to generate them with respect to HVAC load profiles and external weather changes. The findings indicate that there is a 17-28 percent boost in the energy optimization activities when informatics understanding is applied in the facility management processes. Heat maps on spatial plots and energy deviation over plots of time show how envelope design (glass-to-wall ratios, shading, glazing types) helps in the modulation of energy stress inside buildings. The unified CSE-Management architecture provides flexible dynamic, and explainable knowledge of real-time energy control in intelligent buildings.