Vasilis CHRISTODOULIDES
Frederick University, Nicosia, Cyprus
- co-authors:
Dr.-Ing. Paris A. FOKAIDES
Frederick University, Nicosia, Cyprus
Nicholas AFXENTIOU
Frederick University, Nicosia, Cyprus
Klima-forum 2025 and INTER-KLIMA 2025 Conference:
UTILIZING DIGITAL TWIN TECHNOLOGY FOR IMPROVED PREDICTIVE MODELLING OF ENERGY CONSUMPTION IN SMART BUILDINGS
The building sector is responsible for approximately 30 - 34% of global energy consumption, highlighting its pivotal role in sustainability and energy efficiency. Digital Twin (DT) technology has emerged as a game-changer in smart building applications, offering real-time monitoring, analysis, and optimization capabilities.
A Digital Twin is a dynamic virtual model of a physical system, integrating sensor data, Building Information Models (BIM), and Internet of Things (IoT) technologies to simulate energy usage patterns. This enables the identification of inefficiencies, optimization of energy consumption, and forecasting of future energy needs based on environmental conditions, occupancy patterns, and equipment performance.
This study develops a predictive energy consumption model utilizing DT technology for Frederick University's campus buildings. Energy data from 2021 to 2024, collected via smart meters and sensor networks, was analyzed using advanced predictive algorithms - XGBoost, SARIMAX, and Prophet. Extensive feature engineering techniques, including time-based pattern recognition, rolling averages, and data normalization, were implemented to enhance model accuracy. The dataset was divided into training, validation, and testing subsets to ensure robust performance evaluation.
A comprehensive literature review explores the opportunities and challenges of DT integration in building energy management. Key barriers include interoperability constraints, cybersecurity concerns, and the seamless incorporation of renewable energy systems. Despite these challenges, the potential of DTs to transform energy management through real-time insights and predictive analytics is substantial.
The findings of this research offer practical insights into optimizing energy consumption and advancing the deployment of DT technology in smart buildings, contributing to a more sustainable and intelligent built environment.
CV
He is a student in mechanical engineering at the Frederick University in Nicosia (Cyprus).
Ovogodišnje izlaganje:
POREDBENA ISKUSTVA U REGULACIJI TEHNOLOGIJE POLUSAMOVOZEĆIH SUSTAVA U MOTORNIM VOZILIMA
Valja izložiti poredbeni modeli regulacije korištenja naprednih sustava za ispomoć u vožnji motornih vozila te sustava za automatiziranu vožnju motornih vozila. Naglasak je pri tome na američkim i europskim iskustvima u vezi uvođenja i primjene tehnologije na trećoj i četvrtoj razini autonomije (SAE klasifikacija).
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