Lay Summary

Reducing urban energy consumption requires detailed simulations of heat loss, solar gain, and energy usage across thousands of individual structures. This paper presents “Ktirio Urban Building,” a computational framework designed to run large-scale building energy simulations on EuroHPC supercomputers. By integrating continuous integration and deployment (CI/CD) software practices with high-performance computing workflows, the framework allows researchers to process complex urban datasets efficiently. This tool enables city planners and policymakers to model energy efficiency strategies and climate adaptation measures across entire municipalities. (83 words)

Full Abstract

Simulating urban energy performance at city scale demands high-resolution modeling of building thermal dynamics, solar exposure, and occupant behavior across thousands of heterogeneous structures. We introduce Ktirio Urban Building, an HPC computational framework engineered for city-scale energy simulations on EuroHPC infrastructure. To maintain code robustness and rapid deployment across supercomputing centers, the framework incorporates modern Continuous Integration and Continuous Deployment (CI/CD) pipelines optimized for HPC environments. We detail the software architecture, data ingestion pipelines, and parallel performance benchmarks, demonstrating Ktirio’s capacity to deliver actionable urban energy insights.

Metadata

• Publication Date: 2024
• Author: Luca Berti, Vincent Chabannes, Gwennolé Chappron, Javier Cladellas, Abdoulaye Diallo, Maryam Maslek Elayam, Philippe Pinçon, Christophe Prud’homme
• Journal: Energy and Buildings / Building and Environment