HiDALGO2: From Building to City Energy Simulation

This training course, delivered by experts from HiDALGO2 CoE, provides a comprehensive pathway from understanding building-level energy dynamics to performing city-scale energy simulations. Participants will gain hands-on experience using the Ktirio Urban Building framework to integrate GIS, vegetation, scenario, and weather data, enabling high-fidelity modeling of energy consumption and environmental impact. The course emphasizes optimization of building envelopes and systems, leveraging HPC resources for efficient large-scale simulations, and mastering data management platforms to store, retrieve, and analyze simulation results. Attendees will learn to interpret and communicate modeling outputs effectively to guide design decisions and support stakeholder engagement in urban planning and sustainable development projects.

This course is co-organised by HLRS, JSC, LRZ, IT4Innovations, Strasbourg University, Cemosis and HiDALGO2 project for SIDE and EuroCC Czechia, the German and Czech National Competence Centres for High-Performance Computing.

Veranstaltungsort

Online course
Organizer: HLRS, University of Stuttgart, Germany

Veranstaltungsbeginn

26. Nov. 2025
09:00

Verstaltungsende

28. Nov. 2025
17:00

Sprache

Englisch

Einstiegslevel

Basis

Mittel

Themenbereiche

Domain-spezifische Kurse

Wissenschaftliche Visualisierung

Themen

Big Data

Datenspeicherung & -management

Green IT & Nachhaltigkeit

Industrielle Dienstleistungen

Numerische Simulation

Visuallisierung

Zurück zur Liste

Prerequisites and content levels

Prerequisites
  • Basic Command-Line Proficiency: Comfort with navigating file systems, running commands, and handling data in a Linux environment.
  • Introductory HPC Concepts: A general understanding of high-performance computing workflows and job submission.
  • Basic Building/Urban Planning Knowledge: A foundational grasp of building structures and urban layouts can help participants better understand the modeling scenarios.
Content levels
  • Beginner level: 7 hours
  • Intermediate level: 14 hours

Learn more about course curricula and content levels.

Instructors

Prof. Christophe Prud'homme ( IRMA, HiDALGO2, Strasbourg University)

Philippe Pinçon (Cemosis, HiDALGO2)

Gwennolé Chappron (IRMA, HiDALGO2, Strasbourg University )

Javier Cladellas (IRMA, HiDALGO2)

Vincent Chabannes (IRMA, HiDALGO2)

Agenda

-- PRELIMINARY AGENDA --

Day 1 (Wed, Nov 26): Building Thermics

  • Introduction to building thermics and data preparation.
  • Setting up GIS, weather, and scenario data using Ktirio GUI.
  • Initial building modeling exercises and preliminary simulations.

Day 2 (Thu, Nov 27): Therman and Energy Simulations

  • Implementing thermal and energy simulations at the building level.
  • Utilizing Ktirio Urban Building for parameter optimization and solar mask
    computation.
  • Interpreting energy consumption results and refining models.

Day 3 (Thu, Nov 28): District-scale or City-scale Modeling

  • Expanding to district-scale or city-scale modeling and integrated simulations.
  • Leveraging HPC resources for large-scale runs and managing datasets via
    Girder/CKAN.
  • Analyzing comprehensive results, validating outcomes, and discussing real-world
    applications
     

Registration information

Please register at course via the button at the top of this page with your institutional e-mail address to prove your affiliation.

The final participants will be selected and informed after the registration deadline has passed.

This course is offered in cooperation by HLRS, IT4Innovations, Strasbourg University, and HiDALGO2. Your registration data will be transferred to these partners (legal notes at the provided links). For legal notes see the Privacy Policy.

Registration closes on Nov 17, 2025 at 23:55.

Fees

  • Students without Master's degree or equivalent. Participants from EU or EuroCC countries only: 0 EUR
  • PhD students or employees at a German university or public research institute: 0 EUR
  • PhD students or employees at a university or public research institute in an EU or EuroCC country other than Germany: 0 EUR.
  • Other participants, e.g., from industry, other public service providers, or government. Participants from EU or EuroCC countries only: 0 EUR

Our course fee includes coffee breaks (in classroom courses only).

For lists of EU and EuroCC countries have a look at the Horizon Europe and EuroCC website.

Only participants from institutions belonging to these countries can take part in this course.

Contact

Maksym Deliyergiyev phone 0711 685 87261, maksym.deliyergiyev(at)hlrs.de

HLRS training collaborations in HPC and AI

HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. EuroCC@GCS is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC. Since 2025, HLRS coordinates HammerHAI

This course is provided within the framework of EuroCC2.

Acknowledgements

Within the scope of the EuroCC2 project this training is offered free of charge. By participating in a training free of charge, companies receive state-aid corresponding to the regular market-prices listed in the service portfolio. Please note state-aid regulations in Germany.

EuroCC 2 and EuroCC4SEE have received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903 and No 101191697. The JU receives support from the European Union’s Digital Europe Programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Türkiye, Republic of North Macedonia, Iceland, Montenegro, Serbia, Bosnia and Herzegovina.

Further courses and training team

See the training overview and the Supercomputing Academy pages.
See also information about the HLRS training department and staff.

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