Digital Twin Based Smart Building and Energy Management

International Journal of Emerging Research in Science, Engineering, and Management

Vol. 2, Issue 3, pp. 127–135, March 2026

https://doi.org/10.58482/ijersem.v2i3.16

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

Digital Twin Based Smart Building and Energy Management

P M Vijayan, K D Thirisha, K Kiran Kumar, K Yuvaraju, K Revathi, M Abdul Rehman

Department of ECE, Siddartha Institute of Science and Technology, Tirupati, India.

Abstract

This paper presents a smart building energy management system based on a Digital Twin. It combines real-time sensing, built-in intelligence, and cloud monitoring to improve energy awareness and operational efficiency. The Digital Twin serves as a continuously updated virtual model of the physical building, using live data from temperature, light, and energy sensors connected to an ESP32 microcontroller. A dedicated power measurement module tracks electrical energy consumption, allowing real-time checks of voltage, current, power, and energy usage for both the whole system and individual loads. The synchronized Digital Twin offers remote visualization and system insights through a cloud-based IoT platform, helping users make informed energy decisions. The system also includes safety-aware automation to enhance reliability and robustness. Experimental tests show that data synchronization is accurate and the system performs stably under different load conditions. The proposed system best describes about how digital twin technology helps in effective energy management.

Keywords: Digital Twin, Smart Building, Energy Management, ESP32, IoT.

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DOI: https://doi.org/10.58482/ijersem.v2i3.16

Open Access • Peer Reviewed Article

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This article is part of Volume 2, Issue 3 (March 2026)

2026-03-31