Discover how to leverage Infrared.city to enhance your projects
infrared.city integrates radiation physics, AI-powered wind analysis, and thermal comfort models to provide real-time urban microclimate insights, including thermal comfort index, wind comfort, and vegetation impacts.
Our computational framework combines radiation modeling, urban geometry, and meteorological data to calculate Thermal Models. This approach, validated across diverse climates, offers accurate insights into outdoor thermal comfort. This allows for evidence-based urban design and climate adaptation strategies.
Sigmoid functions enhance environmental KPIs by modeling the non-linear relationship between thermal conditions and human comfort. This article explains their scientific basis and practical application in PMV models for accurate urban design evaluation.
This collection highlights our academic contributions in computational design, AI, and environmental performance. It includes peer-reviewed articles, book chapters, and conference papers that advance methods for resilient urbanism, performance-based design, and data-driven sustainability.
Learn how to interpret KPIs from environmental simulation models. These metrics offer critical insights into thermal comfort, energy efficiency, and climate resilience, helping you make data-driven decisions for sustainable built environments.
This report provides a comprehensive overview of pedestrian wind comfort criteria used worldwide. It examines the core principles and engineering approaches behind each framework, compares quantitative thresholds, and outlines regions where wind comfort assessments are mandatory in building permit processes.