Digital Twin Framework for Energy Transition in Gas Networks Based on Open-Source Tools: Methodology and Case Study in Southern Italy

Filippo Luca Alberto Munafò (), Ben Alex Baby, Tancredi Testasecca, Marco Ferraro () and Marco Beccali
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Filippo Luca Alberto Munafò: Dipartimento di Ingegneria, Università degli Studi di Palermo, 90128 Palermo, Italy
Ben Alex Baby: CNR-ITAE—Istituto di Tecnologie Avanzate per l’Energia “Nicola Giordano”, 90128 Palermo, Italy
Tancredi Testasecca: Dipartimento di Ingegneria, Università degli Studi di Palermo, 90128 Palermo, Italy
Marco Ferraro: CNR-ITAE—Istituto di Tecnologie Avanzate per l’Energia “Nicola Giordano”, 90128 Palermo, Italy
Marco Beccali: Dipartimento di Ingegneria, Università degli Studi di Palermo, 90128 Palermo, Italy

Energies, 2025, vol. 18, issue 20, 1-24

Abstract: The ongoing digitalization of energy infrastructure is a crucial enabler for improving efficiency, reliability, and sustainability in gas distribution networks, especially in the context of decarbonization and the integration of alternative energy carriers (e.g., renewable gases including biogas, green hydrogen). This study presents the development and application of a Digital Twin framework for a real-world gas distribution network developed using open-source tools. The proposed methodology covers the entire digital lifecycle: from data acquisition through smart meters and GIS mapping, to 3D modelling and simulation using tools such as QGIS, FreeCAD, and GasNetSim. Consumption data are collected, processed, and harmonized via Python-based workflows, hourly simulations of network operation, including pressure, flow rate, and gas quality indicators like the Wobbe Index. Results demonstrate the effectiveness of the Digital Twin in accurately replicating real network behavior and supporting scenario analyses for the introduction of greener energy vectors such as hydrogen or biomethane. The case study highlights the flexibility and transparency of the workflow, as well as the critical importance of data quality and availability. The framework provides a robust basis for advanced network management, optimization, and planning, offering practical tools to support the energy transition in the gas sector.

Keywords: digital twin; gas network digitalization; gas distribution network; simulation; smart energy networks (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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