Development and Software-in-the-Loop Validation of a Digital Twin Architecture for District Heating Networks

In this study, a digital-twin-oriented integration architecture was developed for district heating networks in a laboratory Software-in-the-Loop (SIL) environment and evaluated. The implemented testbed combined a virtual SIMATIC S7-1500 controller executed in S7-PLCSIM Advanced V8.0, WinCC Runtime Advanced, OPC UA communication, a Python-based integration layer, and a Fluidit Heat thermohydraulic model. The physical district heating network, field sensors, pumps, actuators, and an operational field PLC were not connected to the experimental loop. Field-derived heat load and pressure values for five monitored consumers were stored in PLC data blocks. Python validated and mapped the tags, initiated predefined Fluidit Heat scenarios, processed the model outputs, and returned the results to the PLC for SCADA visualization. Six operating scenarios were evaluated. In the combined baseline and 120% demand scenarios, the delivered heat increased from 2369.84 to 2843.79 kW, plant thermal output from 2377.14 to 2850.80 kW, and plant flow from 12.288 to 14.737 L/s. The maximum supply velocity increased from 1.192 to 1.430 m/s, and the maximum unit pressure loss increased from 1.338 to 1.912 bar/km (+42.92%). The minimum consumer differential pressure remained at approximately 4.000 bar, above the adopted 3.5 bar criterion, and no heat deficit was calculated. The experiment demonstrated functional software interoperability, event-driven scenario execution, and bidirectional simulation data exchange. Because the baseline values contributed to model parameterization and the physical network was not connected, the comparison was a consistency assessment rather than independent field validation. Automatic optimization, autonomous preferred-mode selection, and actuator-level control were not implemented.

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Publication Details

Journal
Applied Sciences
Published
2026-10-14
DOI
https://doi.org/10.3390/app162010206
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

Development and Software-in-the-Loop Validation of a Digital Twin Architecture for District Heating Networks

Максат Орунбеков, L. K. Abzhanova, Irbulat T. Utepbergenov, Ainagul Seitbekova et al.
Applied Sciences
Integrated Energy Systems Optimization
article

Development and Software-in-the-Loop Validation of a Digital Twin Architecture for District Heating Networks

Максат Орунбеков, L. K. Abzhanova, Irbulat T. Utepbergenov, Ainagul Seitbekova, Iouliia Skliarova, Zhazira Julayeva
article en

Abstract

In this study, a digital-twin-oriented integration architecture was developed for district heating networks in a laboratory Software-in-the-Loop (SIL) environment and evaluated. The implemented testbed combined a virtual SIMATIC S7-1500 controller executed in S7-PLCSIM Advanced V8.0, WinCC Runtime Advanced, OPC UA communication, a Python-based integration layer, and a Fluidit Heat thermohydraulic model. The physical district heating network, field sensors, pumps, actuators, and an operational field PLC were not connected to the experimental loop. Field-derived heat load and pressure values for five monitored consumers were stored in PLC data blocks. Python validated and mapped the tags, initiated predefined Fluidit Heat scenarios, processed the model outputs, and returned the results to the PLC for SCADA visualization. Six operating scenarios were evaluated. In the combined baseline and 120% demand scenarios, the delivered heat increased from 2369.84 to 2843.79 kW, plant thermal output from 2377.14 to 2850.80 kW, and plant flow from 12.288 to 14.737 L/s. The maximum supply velocity increased from 1.192 to 1.430 m/s, and the maximum unit pressure loss increased from 1.338 to 1.912 bar/km (+42.92%). The minimum consumer differential pressure remained at approximately 4.000 bar, above the adopted 3.5 bar criterion, and no heat deficit was calculated. The experiment demonstrated functional software interoperability, event-driven scenario execution, and bidirectional simulation data exchange. Because the baseline values contributed to model parameterization and the physical network was not connected, the comparison was a consistency assessment rather than independent field validation. Automatic optimization, autonomous preferred-mode selection, and actuator-level control were not implemented.

Applied SciencesVol. 16(20)
Almaty Technological University (KZ), Mukhametzhan Tynyshbayev ALT University (KZ), University of Aveiro (PT)
Industry, innovation and infrastructure, Affordable and clean energy
Openalex Percentile: Top 23%
Integrated Energy Systems Optimization
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