Infrared - AI-Powered Environmental Simulations
Background

Knowledge Base

Discover how to leverage Infrared.city to enhance your projects

    • Knowledge Base

    Simulation Engine Basics

    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.

    author
    Alessandro
     · 15 min read
    • Knowledge Base

    Thermal Models Validation

    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.

    author
    Vasiliki
     · 6 min read
    • Knowledge Base

    Sigmoid KPI Curve

    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.

    author
    Alessandro
     · 3 min read
    • Knowledge Base

    infrared.city Publications

    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.

    author
    Oana
     · 6 min read
    • Knowledge Base

    Key Performance Indicators

    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.

    author
    Alessandro
     · 13 min read