A digital twin framework for real-time energy optimization: a simulated case study of the podium office building, new Cairo, Egypt

Authors

Maha Fawzy Aly Anber, Associate Professor of Architecture, Architectural Engineering Department, The Higher Institute of Engineering in Elshorouk CityFollow

Corresponding Author

Maha Anber

Subject Area

Architectural Engineering

Article Type

Original Study

Abstract

The growing demand for smarter and more energy-efficient buildings has led to increasing interest in digital twin (DT) technology for building operation and management. This paper presents a DT framework developed to improve the energy performance of the Podium Office Building in Cairo Festival City, New Cairo, Egypt. A detailed EnergyPlus model, supported by Python-based tools (eppy and pyEnergyPlus), was used to test three HVAC control strategies: a baseline fixed schedule, a real-time DT-informed strategy, and a predictive optimization approach. By integrating local climate data and realistic occupancy patterns, the study assesses energy savings, CO₂ reductions, and indoor comfort improvements. The results indicate that the DT framework can significantly enhance performance in commercial buildings, particularly in hot-arid climates, offering practical insights for future applications of digital twins in energy management and sustainable design.

Keywords

Digital Twin; Energy Optimization; Office Buildings

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.

Recommended Citation

Anber, Maha Fawzy Aly (2025) "A digital twin framework for real-time energy optimization: a simulated case study of the podium office building, new Cairo, Egypt," Mansoura Engineering Journal: Vol. 50 : Iss. 6 , Article 20.
Available at: https://doi.org/10.58491/2735-4202.3350