D5.3: Digital Twins of components and Living Labs development, final version

HYPERGRYD. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101036656 WP5 – TRL5 demonstration in living labs and virtual labs in LEC Task 5.2 - Digital Twins of components and demonstrators D5.3 - Digital Twins of components and Living Labs development, final version Ref. Ares(2025)2409169 - 25/03/2025 D5.3 - Digital Twins of components and Living Labs development, final version 2 DISCLAIMER The opinion stated in this report reflects the opinion of the authors and not the opinion of the European Commission. All intellectual property rights are owned by HYPERGRYD consortium members and are protected by the applicable laws. Reproduction is not authorised without prior written agreement. The commercial use of any information contained in this document may require a license from the owner of that information. ACKNOWLEDGEMENT This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement Nº 101036656. D5.3 - Digital Twins of components and Living Labs development, final version 3 Project Project Acronym HYPERGRYD Project Title Hybrid coupled networks for thermal-electric integrated Smart Energy Districts Grant Agreement number 101036656 Call identifier H2020-LC-GD-2020 Topic identifier LC-GD-2-1-2020 Innovative landbased and offshore renewable energy technologies and their integration into the energy system Funding Scheme Research and Innovation Action Project duration 42 months (From 1 October 2021) Coordinator ARCbcn Website http://HYPERGRYD.eu Deliverable Deliverable No. D5.3 Deliverable title Digital Twins of components and Living Labs development, final version. Description This deliverable highlights the successful integration of the BIM-GIS toolkit with the Gussing Energy Technologies Gmbh (GET) & Encoord GmbH (ENCO) tools into the HYPERGRYD platform for DHC network piping and configuration planning, demonstrating its application in both SONNE and ENVI living labs. The BIM-GIS toolkit provides essential model inputs for the GET and ENCO tools, enabling streamlined design and analysis of energy networks. WP No. WP5 Related task Task 5.2 - Digital Twins of components and demonstrators Lead Beneficiary 9 - IDP Author(s) Jorge Leao, Luis Ibañez Adrian, Genis Carrillo, Mikel Borras (IDP). Contributor(s) - Type OTHER Dissemination PU Public Language English – GB Due 31/03/2025 Submission date 31/03/2025 D5.3 - Digital Twins of components and Living Labs development, final version 4 Table of Contents 1 Executive Summary ............................................................................................... 7 2 Introduction .......................................................................................................... 8 2.1 Scope ......................................................................................................................... 8 2.2 Audience ................................................................................................................... 8 2.3 Definitions / Glossary................................................................................................ 8 2.4 Abbreviations ............................................................................................................ 8 2.5 Contributions of partners ......................................................................................... 9 2.6 Baseline ..................................................................................................................... 9 2.7 Relation to other activities ....................................................................................... 9 2.8 Structure ................................................................................................................... 9 3 LiLs BIM-GIS models .............................................................................................. 10 3.1 SONNENPLATZ LiL ................................................................................................... 17 3.2 ENVIPARK LIL ........................................................................................................... 28 4 Conclusions .......................................................................................................... 39 5 References ........................................................................................................... 40 D5.3 - Digital Twins of components and Living Labs development, final version 5 List of Figures Figure 1. Comparison of an example network modelled by GET (left) and by ENCO (right) .............. 10 Figure 2. Encoord Tool: creating an Encoord network from a GET network. ..................................... 11 Figure 3. Editing the node data in the ENCO network model. ............................................................ 11 Figure 4. Creating an external from a node in the ENCO network model on a thermal network. ..... 12 Figure 5. Editing an external from an ENCO network model on a thermal network. ......................... 13 Figure 6. Creating a new scenario for an ENCO network model. ........................................................ 14 Figure 7. Consulting the ENCO simulation results of a thermal network. .......................................... 15 Figure 8. Consulting the ENCO simulation results of a node of a thermal network. .......................... 16 Figure 9. SONNE pilot information. ..................................................................................................... 17 Figure 10. SONNE in the world map. ................................................................................................... 18 Figure 11. SONNE BIM-GIS model. ...................................................................................................... 18 Figure 12. SONNE buildings and nodes. .............................................................................................. 19 Figure 13. SONNE heating grid description. ........................................................................................ 19 Figure 14. SONNE building details example. ....................................................................................... 20 Figure 15. SONNE supplier details example. ....................................................................................... 20 Figure 16. SONNE node details example. ............................................................................................ 21 Figure 18. SONNE piping segment details example. ........................................................................... 21 Figure 19. SONNE downloadable GeoJSON file opened in QGIS. ....................................................... 22 Figure 20. SONNE list of consumers in the heating grid. .................................................................... 23 Figure 21. Simulation data of the thermal load for Customer 1 in the heating grid, in the SONNE LiL. ............................................................................................................................................................. 24 Figure 22. Simulation results in the heating grid. ............................................................................... 24 Figure 23. Simulation results of the node N1 in the heating grid. ...................................................... 25 Figure 24. Simulation results of the branch TPI1 in the heating grid. ................................................. 26 Figure 25. Simulation results of the external HDEM1 in the heating grid. ......................................... 27 Figure 26. Simulation results of the external HSUP19 in the heating grid, corresponding to the only supplier of thermal energy in the network. ........................................................................................ 27 Figure 27. ENVI LiL information. .......................................................................................................... 28 Figure 28. ENVIPARK LiL location in the world map. ........................................................................... 29 Figure 29. ENVIPARK LiL. ..................................................................................................................... 29 Figure 30. ENVIPARK electric network piping definition. .................................................................... 30 Figure 31. ENVIPARK thermal network definition. .............................................................................. 30 Figure 32. ENVI building detail information example. ........................................................................ 31 Figure 33. ENVI supplier plant information example. ......................................................................... 31 Figure 34. ENVI downloadable GeoJSON file opened in QGIS. ........................................................... 32 Figure 35. Simulation results in the thermal grid. ............................................................................... 33 Figure 36. Simulation results of the node TNO_32 in the thermal grid. ............................................. 33 Figure 37. Simulation results of the branch TPI.TPI_31 in the thermal grid. ...................................... 34 Figure 38. Simulation results of the external HDEM1 in the thermal grid. ......................................... 35 D5.3 - Digital Twins of components and Living Labs development, final version 6 Figure 39. Simulation results of the external HSUP24 in the thermal grid, corresponding to the only supplier of thermal energy in the network. ........................................................................................ 35 Figure 40. Simulation results in the electrical grid. ............................................................................. 36 Figure 41. Simulation results of the node ENO_0 in the electrical grid. ............................................. 36 Figure 42. Simulation results of the branch LI.LI_0 in the electrical grid. ........................................... 37 Figure 43. Simulation results of the external EDEM1 in the electrical grid. ....................................... 38 Figure 44. Simulation results of the external PV12 in the electrical grid, corresponding to the solar generator that provides energy to the electrical grid. ........................................................................ 38 Figure 45. Simulation results of the external XGEN11 in the electrical grid, corresponding to another generator that provides energy to the electrical grid. ........................................................................ 39 D5.3 - Digital Twins of components and Living Labs development, final version 7 1 Executive Summary The goal of HYPERGRYD project is the development of a set of replicable and scalable cost-effective technical solutions to allow the integration of Renewable Energy Sources (RES) with different dispatchability and intrinsic variability inside Thermal and Electrical Grids. The project includes the development of innovative key components, in parallel with innovative and integrated ICT services formed by a scalable suite of tools for the proper handling of the increased complexity of the systems from building to Local Energy Community (LEC) levels and beyond, and accelerate the sustainable transformation, planning and modernization of District Heating and Cooling (DHC) towards 4th and 5th generation. This report focuses on the successful implementation of a BIM-GIS toolkit within the HYPERGRYD platform. This toolkit is for planning the piping and layout of district heating and cooling networks. It has been used in two real-world settings: the Sonnenplatz Grosschonau GMBH (SONNE) and Parco Scientifico Tecnologico Per Lambiente Environment Park Torino SPA (ENVI) living labs. The experiences in SONNE and ENVI living labs validate the toolkit’s effectiveness in real-world scenarios. In both SONNE and ENVI living labs, the BIM-GIS toolkit developed by IDP Ingenieria Y Arquitectura Iberia SL (IDP) works in conjunction with the tools developed by Gussing Energy Technologies Gmbh (GET) and Encoord GmbH (ENCO). The BIM-GIS toolkit provides the models which are essential inputs for the GET and ENCO tools, enabling them to perform their specific calculations and simulations. This collaboration demonstrates a streamlined workflow for designing and analysing energy networks. • ENCO -> SAInt (Scenario Analysis Interface for Energy Systems): Modelling and simulation software designed to simulate the operation of an integrated energy system that couples heating and electricity networks. • GET -> Exergoeconomic optimization tool for 4th and 5th generation of DHC: Exergy-based analysis and assessment of energy-conversion systems for district heating and cooling. This report is primarily aimed at professionals such as district heating operators, energy suppliers, and policymakers. It provides an overview of how the BIM-GIS toolkit can support decision-making and optimise the design of future district heating networks. On behalf of Authors Jorge Leão (IDP) Genis Carrillo (IDP) D5.3 - Digital Twins of components and Living Labs development, final version 8 2 Introduction 2.1 Scope This deliverable presents an in-depth overview of IDP's implementation of the BIM-GIS toolkit within the HYPERGRYD platform, specifically tailored for DHC network piping and configuration planning as part of Work Package 4. As a result of T5.2 – “Digital Twins of components and demonstrators,” it details the implementation of the Digital Twin Platform as a service developed within WP4 in the HYPERGRYD Living Lab, based on the BIM-GIS parametric model and planning toolbox. The BIM-GIS toolkit provides essential model inputs for the GET and ENCO tools, enabling them to perform their specific calculations and simulations. 2.2 Audience This report targets the professional parties having interest on the application of a BIM-GIS toolkit for DHC network piping and configuration planning providing a decision support and generate optimized network layouts and dimensioning parameters for the planning of future-generation district heating networks. Since the text demands baseline understanding for the context, there may be limitations in understanding for certain interest groups such as general public and end-users. Target groups for the deliverable include: - ESCOs (Energy Service Companies) - DSOs (Distribution System Operators) - DH (District Heating) operators - Energy producers - Municipalities and policy makers - Engineering professionals - Energy community managers, end-users and the general public 2.3 Definitions / Glossary BIM – Building Information Modelling, it is the virtual representation of the physical and functional characteristics of a facility (Tang et al., 2017). GIS – Geographic Information System, it is a computer system for capturing, storing, checking, and displaying data related to positions on Earth’s surface (GIS (Geographic Information System), n.d.). 2.4 Abbreviations BIM: Building Information Modelling GIS: Geographic Information System D5.3 - Digital Twins of components and Living Labs development, final version 9 DHC: District Heating and Cooling DSO: Distribution System Operator ESCO: Energy Service Company ICT: Information and Communications Technology PaaS: Platform as a Service SaaS: Software as a Service 2.5 Contributions of partners The IDP team exclusively authored this deliverable. 2.6 Baseline This deliverable focuses on IDP's implementation of the BIM-GIS toolkit within the HYPERGRYD platform for DHC network piping and configuration planning. A key aspect is demonstrating the toolkit's effective communication and data exchange with the GET and ENCO tools in the SONNE and ENVIPARK living labs. This implementation is built upon the work detailed in D4.5 – “Fully operational HYPERGRYD Platform and API with integrated tools and services,” and is a result of Task T4.5 – “Workflow management and end-user API development”. T4.5 was specifically concerned with integrating the different tools and services (including GET, ENCO) within the HYPERGRYD platform, providing the necessary framework for the BIM-GIS toolkit to operate in conjunction with them. 2.7 Relation to other activities Explain relations to other activities in the HYPERGRYD project: • Inputs: Both SONNE and ENVI partners utilized the BIM-GIS toolkit user manual presented in D4.3 as their primary guide for modelling their respective buildings and thermal-electric piping networks within the HYPERGRYD platform. • Outputs: The BIM-GIS toolkit facilitates the creation of models that serve as essential inputs for the GET and ENCO tools, enabling their specific calculations and simulations. This showcases the practical implementation of the workflow management and tool integration goals of Task T4.5. The successful interaction of these tools also contributes to the realization of the HYPERGRYD Platform and API as described in D4.5. 2.8 Structure • Section 1: Executive Summary. • Section 2: LiLs BIM/GIS models. • Section 3: Conclusions. D5.3 - Digital Twins of components and Living Labs development, final version 16 Figure 8. Consulting the ENCO simulation results of a node of a thermal network. D5.3 - Digital Twins of components and Living Labs development, final version 17 3.1 SONNENPLATZ LiL The Sonnenplatz LiL underwent modelling using IDP's BIM-GIS toolkit designed for DHC network piping and configuration planning within the HYPERGRYD project. Leveraging this advanced ICT tool, partners from Sonnenplatz effectively modelled various buildings and pipeline networks associated with the HYPERGRYD initiative. Figure 9. SONNE pilot information. D5.3 - Digital Twins of components and Living Labs development, final version 18 Figure 10. SONNE in the world map. The subsequent images present the comprehensive BIM-GIS model of the Sonnenplatz LiL, comprising 24 consumer buildings, 1 supplier building, and their thermal piping network. Figure 11. SONNE BIM-GIS model. D5.3 - Digital Twins of components and Living Labs development, final version 19 Figure 12. SONNE buildings and nodes. The following images depict the implemented definition for the modelled thermal network piping within the framework of the modelling process. Figure 13. SONNE heating grid description. The following images illustrate examples of the static information stored from various consumer and supplier buildings within the Sonnenplatz LiL. To safeguard user privacy, details such as the address and cadastral code of the buildings have been obscured. D5.3 - Digital Twins of components and Living Labs development, final version 20 Figure 14. SONNE building details example. Figure 15. SONNE supplier details example. D5.3 - Digital Twins of components and Living Labs development, final version 21 The subsequent images highlight examples of the static information stored from various nodes and thermal piping segments within the network, as provided by the BIM-GIS modelling toolkit. This crucial information is essential for both GET and ENCO to execute their respective calculations and simulations effectively. Figure 16. SONNE node details example. Figure 17. SONNE piping segment details example. D5.3 - Digital Twins of components and Living Labs development, final version 22 The readily downloadable GeoJSON file from the HYPERGRYD PaaS/SaaS platform facilitates the access of BIM-GIS modelled information through a GIS software such as QGIS, which is free and opensource. Figure 18. SONNE downloadable GeoJSON file opened in QGIS. The Sonnenplatz LiL includes simulation data for the thermal grid related to the consumers of the network and to the different pipes that constitute this network. This data consists on values for 10 different variables (thermal load, flow, flow temperature, return temperature, pipe pressure loss, specific temperature loss, sum of pressure loss, flow target temperature at consumer, exergy difference and heat losses) from the 1st of July of 2023 to the 1st of July of 2024, for the summer and winter seasons, represented in a line chart together with two flat lines that indicate the mean value of the variable for each of the 2 seasons. The simulation data, provided by GET, can be accessed from the “Simulation” module in the GET tool. On this module you first need to select the type of data you want to consult on the “Simulation Source” select list. This will load a list with each of the consumers (if you are consulting the costumer consumption data) or a list with each pipe (if you are consulting the pipes information) on the heating grid. D5.3 - Digital Twins of components and Living Labs development, final version 23 Figure 19. SONNE list of consumers in the heating grid. On these lists, you can check the simulation data of a consumer or pipe by clicking on the green information button, which will open a popup window displaying a table containing information about the consumer or pipe with the values of some variables, and a select list. In the select list you can select between each of the variables mentioned before to display its values together with its mean D5.3 - Digital Twins of components and Living Labs development, final version 24 value in a line chart. You can navigate horizontally with the mouse cursor over the chart to consult the values of the variable for each season at a certain date time, those values will be displayed in a popup over the chart. The mean value of the variable during the whole interval of time (from the 1st of July of 2023 to the 1st of July of 2024) is displayed on the line chart legend. You can also zoom in and out in the line chart by using the mouse wheel. To close the popup window displaying the simulation information simply click on the red “Close” button. Figure 20. Simulation data of the thermal load for Customer 1 in the heating grid, in the SONNE LiL. Some thermal simulations have been executed for the heating grid in the Sonnenplatz LiL, successfully obtaining useful results. Figure 21. Simulation results in the heating grid. D5.3 - Digital Twins of components and Living Labs development, final version 25 Figure 22. Simulation results of the node N1 in the heating grid. D5.3 - Digital Twins of components and Living Labs development, final version 32 The readily downloadable GeoJSON file from the HYPERGRYD PaaS/SaaS platform facilitates the access of BIM-GIS modelled information through a GIS software such as QGIS, which is free and opensource. Figure 33. ENVI downloadable GeoJSON file opened in QGIS. Some thermal simulations have been executed for the thermal grid in the Envipark LiL, successfully obtaining useful results. D5.3 - Digital Twins of components and Living Labs development, final version 33 Figure 34. Simulation results in the thermal grid. Figure 35. Simulation results of the node TNO_32 in the thermal grid. D5.3 - Digital Twins of components and Living Labs development, final version 34 Figure 36. Simulation results of the branch TPI.TPI_31 in the thermal grid. D5.3 - Digital Twins of components and Living Labs development, final version 35 Figure 37. Simulation results of the external HDEM1 in the thermal grid. Figure 38. Simulation results of the external HSUP24 in the thermal grid, corresponding to the only supplier of thermal energy in the network. D5.3 - Digital Twins of components and Living Labs development, final version 36 En electric simulation has been executed for the electrical grid in the Envipark LiL, successfully obtaining useful results. Figure 39. Simulation results in the electrical grid. Figure 40. Simulation results of the node ENO_0 in the electrical grid. D5.3 - Digital Twins of components and Living Labs development, final version 37 Figure 41. Simulation results of the branch LI.LI_0 in the electrical grid. D5.3 - Digital Twins of components and Living Labs development, final version 38 Figure 42. Simulation results of the external EDEM1 in the electrical grid. Figure 43. Simulation results of the external PV12 in the electrical grid, corresponding to the solar generator that provides energy to the electrical grid. D5.3 - Digital Twins of components and Living Labs development, final version 39 Figure 44. Simulation results of the external XGEN11 in the electrical grid, corresponding to another generator that provides energy to the electrical grid. 4 Conclusions The successful modelling and development efforts carried out for the Sonnenplatz and Envipark living labs within the HYPERGRYD project highlight the effectiveness of IDP's BIM-GIS toolkit for DHC network piping and configuration planning. Utilizing this advanced ICT tool, partners from both Sonnenplatz and Envipark meticulously crafted models of various buildings and pipeline networks, significantly advancing the project's objectives. These models are not just a static representation; they are designed to be functional and interoperable. They play a crucial role in the implementation of the GET and ENCO tools, facilitating their respective mathematical calculations and simulations within the Sonnenplatz and Envipark living labs. The BIM-GIS toolkit provides the models which are essential inputs for the GET and ENCO tools, enabling them to perform their specific calculations and simulations. This demonstrates effective communication between the tools and a streamlined workflow for energy network design and analysis. The outcomes of these implementations will be documented and reported in deliverables D5.5 – “Demonstration and Validation of LECs coupled network models” and D5.6 – “Demonstration and Validation of HYPERGRYD ICT tools”. D5.3 - Digital Twins of components and Living Labs development, final version 40 5 References Geographic Information System (GIS). (n.d.). National Geographic Education. https://education.nationalgeographic.org/resource/geographic-information-system-gis/ Tang, L., Chen, C., Tang, S., Wu, Z., & Trofimova, P. (2017). Building information modeling and building performance optimization. In Elsevier eBooks (pp. 311–320). https://doi.org/10.1016/b9780-12-409548-9.10200-3