D4.5: Fully operational HYPERGRYD Platform and API with integrated tools and services

HYPERGRYD. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101036656 WP4 – HYPERGRYD Digital Twin Platform as a service Task 4.5 Workflow management and enduser API development D4.5 Fully operational HYPERGRYD Platform and API with integrated tools and services Ref. Ares(2025)2409285 - 25/03/2025 D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 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. D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 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. D4.5 Deliverable title Fully operational HYPERGRYD Platform and API with integrated tools and services Description The objective of this task is to describe the development of the API, which will be based on different HYPERGRYD tools/service requirements regarding data exchange needs, formats, etc.,successfully integrating tools and services developed by the project partners - Gussing Energy Technologies Gmbh (GET), Encoord GmbH (ENCO), Grid Singularity (GSY), and Kungliga Tekniska Hoegskolan (KTH) - into the HYPERGRYD PaaS/SaaS developed by project partner IDP Ingenieria Y Arquitectura Iberia SL (IDP). The API, which underpins HYPERGRYD’s PaaS and its integrated services/tools aims to take into account end-user/stakeholder recommendations, usability techniques and methods - used at different stages of the development - which guarantees an end product that meets previous needs and requirements from stakeholders, use cases, roles, ICT architecture, planning platform and data requirements from previous tasks: T4.1, T4.2 and T4.3. This developed API presents a complete control system adapted to energy saving and optimisation driven configuration, including a user-friendly and comfortable interface to users, which will implement solutions for all the known use cases. An interface that helps visualize the gathered and relevant data to discover actionable insights is here presented. This responsive interface can be adapted to meet all users’ energy management needs as well as other needs regarding facility and/or asset management, design & construction planning and management, etc. The platform also aids decision making for workflow management in real time, for both the electrical and thermal energy flows set in the coupled energy network complex, as an intuitive dashboard (interface) through gathered information based on different HYPERGRYD tools/services. WP No. WP4 Related task T4.5 – Workflow management and end-user API development 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 D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 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 Exergoeconomic optimization tool for 4th and 5th generation of DHC ..................... 10 4 SAInt - Scenario Analysis Interface for Energy Systems .......................................... 18 5 Grid Singularity Exchange (local energy marketplace tools) ................................... 26 6 ICT-enabled AI tool for heating management of a local energy community ............ 30 7 Conclusions .......................................................................................................... 33 8 References ........................................................................................................... 34 D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 5 List of Figures Figure 1. Exergoeconomic simulation dashboard. .............................................................................. 10 Figure 2. Exergoeconomic simulations. ............................................................................................... 10 Figure 3. District consumers list. ......................................................................................................... 11 Figure 4. Exergoeconomic District consumers simulation results. ..................................................... 12 Figure 5. Exergoeconomic District consumers thermal load simulation result. ................................. 12 Figure 6. Exergoeconomic District consumers flow simulation result. .............................................. 12 Figure 7. Exergoeconomic District consumers flow temperature simulation result. ........................ 13 Figure 8. Exergoeconomic District consumers return temperature simulation result. ..................... 13 Figure 9. Exergoeconomic District consumers flow target temperature at costumer simulation result. ............................................................................................................................................................. 13 Figure 10. Exergoeconomic District consumers exergy difference simulation result. ....................... 14 Figure 11. Exergoeconomic optimization tool for 4th and 5th generation of DHC tool simulation results of the heat losses for a consumer. .......................................................................................... 14 Figure 12. District pipelines list. .......................................................................................................... 15 Figure 13. District pipes flow simulation result. .................................................................................. 16 Figure 14. District pipes flow temperature simulation result. ............................................................ 16 Figure 15. District pipes pipe pressure loss simulation result. ............................................................ 17 Figure 16. District pipes specific pressure loss simulation result. ....................................................... 17 Figure 17. District pipes flow target temperature at consumer simulation result. ............................ 18 Figure 18. Exergoeconomic optimization tool for 4th and 5th generation of DHC tool simulation results for heat losses.......................................................................................................................... 18 Figure 19. DTwin Encoord API endpoints. ........................................................................................... 19 Figure 20. Menu for selecting the type of network for running a SAInt simulation. .......................... 19 Figure 21. Example of a SAInt thermal grid simulation in the HYPERGRYD platform. ........................ 20 Figure 22. Example of the list of nodes in a SAInt thermal grid network. .......................................... 20 Figure 23. Example of the SAInt thermal grid simulation node results. ............................................. 21 Figure 24. Example of the list of branches (i.e., pipelines) in a SAInt thermal grid network. ............. 21 Figure 25. SAInt thermal grid simulation branch results. .................................................................... 22 Figure 26. Example of the list of externals (i.e., heat demand and heat supply points) in a SAInt thermal network. .............................................................................................................................................. 22 Figure 27. SAInt thermal grid simulation external results. ................................................................. 23 Figure 28. Example of a SAInt electric grid simulation in the HYPERGRYD platform. ......................... 23 Figure 29. Example of the list of nodes in a SAInt electric grid network. ........................................... 24 Figure 30. Example of the SAInt electric grid simulation node results. .............................................. 24 Figure 31. Example of the list of branches (i.e., pipelines) in a SAInt electric grid network. .............. 25 Figure 32. SAInt electrical grid simulation branch results. .................................................................. 25 Figure 33. Example of the list of externals (i.e., electric demand and electric supply points) in a SAInt electric network. ................................................................................................................................. 26 Figure 34. SAInt electrical grid simulation result external. ................................................................. 26 Figure 35. Direct access to the GSY LEM Simulation Tool results of an example simulation through the HYPERGRYD Platform dashboard. ....................................................................................................... 27 Figure 36. GSY LEM Simulation Tool: dashboard visualisation results of an example simulation. ..... 27 Figure 37. GSY results. ......................................................................................................................... 29 D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 6 Figure 38. HYPERGRYD platform assets inventory. ............................................................................. 30 Figure 39. HYPERGRYD platform smart meter data visualization. ...................................................... 30 Figure 40. Software solution of the KTH ICT tool for SONNE. ............................................................. 31 Figure 41. Data flow from smart meters to the KTH server. ............................................................... 32 Figure 42. Data flow from the KTH server to the different service users. .......................................... 32 D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 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 Grids as well as their link with the Electrical Grids, including 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. The purpose of this deliverable is to detail the successful integration of tools and services developed by the project partners, Güssing Energy Technologies GmbH (GET), Encoord GmbH (ENCO), Grid Singularity (GSY), and Kungliga Tekniska Hoegskolan (KTH) into the HYPERGRYD PaaS/SaaS developed by project partner IDP Ingenieria Y Arquitectura Iberia SL (IDP). The joint platform, therefore provides access to the following services: 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. • GSY -> Grid Singularity Exchange : Tool stack including advanced local peer-to-peer energy trading simulation tool that supports planning by evaluating the benefits of P2P trading and analysing the most optimal asset configuration, with additional tools to manage operation of energy communities; • KTH -> IoT-enabled demand response management (DRM) for local energy communities: An open-source software solution that enables cost-effective heating by coordinating energy management among community members. The report's intended audience encompasses a wide range of stakeholders, including District Heating and Cooling (DHC) operators, Distribution System Operators (DSOs), Energy Service Companies (ESCOs), energy producers, energy suppliers, municipalities, local and national policymakers involved in energy efficiency decision-making, waste heat suppliers, engineering firms, and utility companies. This public report will allow them to review innovative solutions developed in the framework of the HYPERGRYD project and consider their future market application. On behalf of Authors Jorge Leão (IDP) Genis Carrillo (IDP) D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 8 2 Introduction 2.1 Scope This report details the successful integration of tools and services from GET, ENCO, and GSY into the HYPERGRYD PaaS/SaaS developed by IDP. The implementation adheres to the architecture defined in Deliverable 4.2: « ICT Architecture and data requirements for HYPERGRYD DT PaaS ». 2.2 Audience This report is intended for technical stakeholders interested in the application of a Digital Twin-based PaaS for the integration of thermal and electric grids. A fundamental understanding of the subject matter is assumed, which may limit its accessibility to the 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.). Digital Twin – Technology that uses digital representation of real-world assets allowing the users to access these assets and their data such as their dimensions or the cost or energy consumption of an equipment (Overview: What Is Digital Twin Technology?, 2022). API – Application Programming Interface, it is a software interface that allows different programs to communicate (What Is an API? Application Programming Interface Definition, 2022). 2.4 Abbreviations API : Application Programming Interface BIM: Building Information Modelling D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 9 DHC: District Heating and Cooling DSO: Distribution System Operator ESCO: Energy Service Company GIS: Geographic Information System LEM: Local Energy Market PaaS: Platform as a Service P2P: Peer-to-Peer PV : Photovoltaics SaaS: Software as a Service 2.5 Contributions of partners The IDP team exclusively authored this deliverable, with other technical partners providing inputs for the solutions they developed and a deliverable review. 2.6 Baseline This deliverable builds upon the work performed in task 4.5 – « Workflow management and end-user API development » which its objective is to integrate the different tools and services from GET, ENCO, GSY, and KTH specified in D4.2 – « ICT Architecture and data requirements for HYPERGRYD DT PaaS ». 2.7 Relation to other activities • Inputs: D4.2, D4.3, T4.2, T4.3, and T4.5. 2.8 Structure • Section 1: Executive Summary. • Section 2: Introduction. • Section 3: Exergoeconomic optimization tool for 4th and 5th generation of DHC. • Section 4: SAInt - Scenario Analysis Interface for Energy Systems. • Section 5: Grid Singularity Exchange (local energy marketplace tool). • Section 6: ICT-enabled AI tool for the management of a local energy community. • Section 7: Conclusions. D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 16 Figure 13. District pipes flow simulation result. Figure 14. District pipes flow temperature simulation result. D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 17 Figure 15. District pipes pipe pressure loss simulation result. Figure 16. District pipes specific pressure loss simulation result. D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 18 Figure 17. District pipes flow target temperature at consumer simulation result. Figure 18. Exergoeconomic optimization tool for 4th and 5th generation of DHC tool simulation results for heat losses. 4 SAInt - Scenario Analysis Interface for Energy Systems The “Scenario Analysis Interface for Energy Systems” (SAInt) is modelling and simulation software designed to simulate the operation of an integrated energy system that couples heating and D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 19 electricity networks. This service is integrated directly into the HYPERGRYD Platform back end, and to run it, we had to install the license provided by SAInt directly on the platform virtual server. This service is a core service of the HYPERGRYD platform and integrates seemingly with the BIM-GIS toolkit. With the toolkit, the user draws thermal and electric networks, including the buildings that will consume energy, the energy provider assets of the grid (e.g., PV plans), the nodes of the network, the connection to the buildings, and the points where the network will connect outside the grid. The objects making up a network have specific properties which the user can modify, like the diameter of a pipeline or the rated current capacity of an electric line. After a district heating or an electrical grid is modelled using the BIM-GIS toolkit, a scenario needs to be created on the « Simulation module » of the SAInt tool in order to run the simulation. To create a scenario, it is necessary to specify the start and end dates of the simulation and the time step. The scenario data consists of the dates and timestep mentioned before, the scenario type (for example « SteadyThermal » for a steady state thermal simulation for thermal networks or « SteadyACFP » for a steady state alternating current power flow simulation for an electrical network), the network data, the profiles (i.e., how properties should be changing in a quasi-dynamic simulation) or events data (i.e., constraints for properties set-points) and the scenario name. This data is registered into a database and then used to create a json model, which is sent and consumed by the SAInt’s API. Figure 19. DTwin Encoord API endpoints. The API is hosted next to the SAInt licence manager on a virtual machine. The service runs, executes a simulation, and returns the results to the HYPERGRYD platform, which makes them available to the user through the HYPERGRYD platform dashboard. The SAInt dashboard allows the user to see the results of thermal or electrical stimulation. Figure 20. Menu for selecting the type of network for running a SAInt simulation. D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 20 Figure 21. Example of a SAInt thermal grid simulation in the HYPERGRYD platform. Figure 22. Example of the list of nodes in a SAInt thermal grid network. D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 21 Figure 23. Example of the SAInt thermal grid simulation node results. Figure 24. Example of the list of branches (i.e., pipelines) in a SAInt thermal grid network. D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 22 Figure 25. SAInt thermal grid simulation branch results. Figure 26. Example of the list of externals (i.e., heat demand and heat supply points) in a SAInt thermal network. D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 23 Figure 27. SAInt thermal grid simulation external results. Figure 28. Example of a SAInt electric grid simulation in the HYPERGRYD platform. D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 24 Figure 29. Example of the list of nodes in a SAInt electric grid network. Figure 30. Example of the SAInt electric grid simulation node results. D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 25 Figure 31. Example of the list of branches (i.e., pipelines) in a SAInt electric grid network. Figure 32. SAInt electrical grid simulation branch results. D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 32 Figure 41. Data flow from smart meters to the KTH server. Figure 42. Data flow from the KTH server to the different service users. D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 33 7 Conclusions This report detailed the successful integration of tools and services developed by project partners GET, ENCO, and GSY into the HYPERGRYD PaaS/SaaS developed by IDP. The implementation adhered to the architecture defined in Deliverable 4.2: “ICT Architecture and data requirements for HYPERGRYD DT PaaS”. D4.5 - Fully operational HYPERGRYD Platform and API with integrated tools and services 34 8 References 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 Geographic Information System (GIS). (n.d.). National Geographic Education. https://education.nationalgeographic.org/resource/geographic-information-system-gis/ Wix-encyclopedia. (2022, November 28). What is an API? Application Programming Interface Definition. https://www.wix.com/encyclopedia/definition/application-programmingsoftwareapi?utm_source=google&utm_medium=cpc&utm_campaign=13708482663^124757113632 &experiment_id=^^530755701293^^_DSA&gclid=Cj0KCQjwzdOlBhCNARIsAPMwjbx9c3ps5p wQS5be5bhQJ4TSN_xn3zzlb2ATJ4FqQlflxRJBFJFgtO8aAiYSEALw_wcB