Ktirio Urban Building: A Computational Framework for City Energy Simulations Enhanced by CI/CD Innovations on EuroHPC Systems
Christophe Prud'Homme (IRMA), Vincent Chabannes, Luca Berti, Maryam, Maslek, Philippe Pincon, Javier Cladellas, Abdoulaye Diallo

TL;DR
This paper introduces the Ktirio Urban Building framework, a high-performance simulation tool for city energy modeling that leverages CI/CD pipelines on EuroHPC supercomputers to support EU energy and emission reduction goals.
Contribution
It presents a novel computational framework integrating CI/CD methodologies for efficient city energy simulations on high-performance computing systems.
Findings
Successful deployment of the framework on EuroHPC supercomputers.
Enhanced simulation workflows through CI/CD pipelines.
Potential to accelerate urban energy research and policy planning.
Abstract
The building sector in the European Union significantly impacts energy consumption and greenhouse gas emissions. The EU's Horizon 2050 initiative sets ambitious goals to reduce these impacts through enhanced building renovation rates. The CoE HiDALGO2 supports this initiative by developing high-performance computing solutions, specifically through the Urban Building pilot application, which utilizes advanced CI/CD methodologies to streamline simulation and deployment across various computational platforms, such as the EuroHPC JU supercomputers. The present work provides an overview of the Ktirio Urban Building framework (KUB), starting with an overview of the workflow and a description of some of the main ingredients of the software stack and discusses some current results performed on EuroHPC JU supercomputers using an innovative CI/CD pipeline.
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Taxonomy
TopicsBuilding Energy and Comfort Optimization
