Höchstleistungsrechenzentrum Stuttgart: HiDALGO2: From Building to City Energy Simulation

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)

Learning outcomes

Comprehensive Modeling Workflow: Master an end-to-end process for building and city energy simulations using Ktirio tools.
Data Preparation Expertise: Gain hands-on experience in preparing and processing complex GIS, scenario, and weather datasets for robust simulations.
Performance Assessment and Optimization: Acquire the ability to assess, interpret, and improve energy performance across diverse urban settings.
Scalability and Efficiency: Learn to leverage HPC resources and data management platforms to handle large-scale simulations and streamline workflows.
Validate, interpret, and communicate simulation results to inform design and policy decisions.

Skills earned

The skill tree provided by the HPC Certification Forum provides

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, training(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. SIDE 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 has been coordinating one of the AI Factories of the EuroHPC JU: HammerHAI.

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.

Official course URL(s)

https://events.it4i.cz/event/from-building-to-city-energy-simulation/

Further courses and training team

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

HiDALGO2: From Building to City Energy Simulation

Veranstaltungsort

Prerequisites and content levels

Prerequisites

Content levels

Instructors

Learning outcomes

Skills earned

Agenda

Registration information

Fees

Contact

HLRS Training Collaborations in HPC and AI

Acknowledgements

Official course URL(s)

Further courses and training team

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