Abstract & Overview
The “Smart Campus” concept combines environmental sustainability and technological innovation and plays an important role in educational institutions. In this context the contribution of “Digital Twins” and “Green metrics (GM)” to smart campus is one of the important areas of research. In this study, a digital twin architecture is proposed, including energy and climate change, waste and water issues, which account for 48% in GM criteria. Digital simulation and communication protocols, predictive analysis and dynamic decision support can be synthesized between the physical world and the sensor-based framework. This synthesis reveals the potential to reduce environmental damage through effective waste management, efficient use of water resources, identification of efficiency gaps through real-time analysis of energy consumption, and reduction of carbon footprint through energy savings. This study aims that the combined approach presented with the proposed framework according to GM criteria will contribute to future educational environments by ensuring smart campus sustainability.