Tools & Datasets

The Future Weather Generator is a computational tool created and maintained by CURA Lab to produce future weather datasets for use in dynamic building and urban simulations. By combining historical weather records with climate projections, FWG generates high-resolution climate files that enable researchers, engineers, and planners to assess building performance, renewable energy systems, and urban heat adaptation strategies under future climate scenarios.

• Applications:
  • Building energy simulations and retrofitting strategies.
  • Assessment of renewable system resilience (e.g., PV, thermal storage).
  • Urban climate studies and heat island mitigation.
  • Policy and planning analysis for climate adaptation.
• Key Features:
  • Integration of climate change scenarios (IPCC, regional models).
  • Compatibility with leading simulation platforms (e.g., EnergyPlus, TRNSYS, Urban modeling tools).
  • Flexible outputs tailored to different spatial and temporal resolutions.

EPW SolarQC is a browser-based scientific tool for assessing the quality and temporal consistency of solar radiation and illuminance data in EnergyPlus Weather (EPW) files. It detects timestamp and solar-alignment issues, evaluates radiation-component consistency, identifies month-specific anomalies in TMY datasets, and assesses the suitability of EPW files for future-weather morphing workflows. When appropriate, it can generate a corrected and fully revalidated EPW file while preserving non-solar meteorological variables.

EPW SolarQC is a companion application for users of the Future Weather Generator, which is developed and maintained by CURA Lab. It helps ensure that source EPW files have a consistent and reliable solar-data structure before they are used to generate future meteorological year files. All processing is performed locally in the user’s browser.

CURA Lab develops and maintains the Building Physics Tutor, an interactive online learning environment that helps students explore the thermal behavior of a single-zone building. Through guided challenges, transparent physical models, and responsive visualizations, the tool supports understanding of heat transfer through the building envelope, solar gains, ventilation, thermal mass, and their influence on indoor temperature.