Site weather data is an essential input for building energy, comfort and daylighting simulations, providing the key environmental conditions needed to drive the calculations. Until recently most weather data used in building simulations has been based purely on historic readings and has only been available for scattered locations. But as greater emphasis is placed on design for optimal performance, using realistic weather data specific to the project site and selected for the intended design purpose is now an integral part of the simulation process. Andas climate change increasingly influences the building performance agenda, using traditional "typical year" weather data for designing tomorrow's buildings that need to perform well in future climatic conditions is no longer an option.

Climate Analytics can help by providing you with access to a vast database of accurately measured weather data with options to support all types of building performance simulationincluding "typical year", "actual year" and "design year" weather files. With access to these best practice weather data selection tools you will have complete confidence in the climatic inputs to your building performance calculations.

Types of hourly weather data

Hourly weather data for building performance simulation can be broken into three broad types depending on the intended application:

• Typical yearssuch as TMY, TRY and IWEC are representative of long-term weather compiled from 20-30 years of data. They are assembled to match the long term data from a particular location using a particular statistical measure. Typical data is usually “real” data, but may not be a contiguous year - the data may be comprised of months from multiple years. Typical years are often used for standardised compliance and certification simulations.
• Design yearsusually contain a specific year of weather data where the year is selected for some extreme characteristic such as warmest run of 3 days for overheating and/or cooling design applications.
• Actual yearsfor post occupancy operational analysis contain a specific year of weather data and are generally used for measurement and verification studies where simulation results from a calibrated model are compared to actual utility bills or other measured data.

The Climate Analytics Approach

WithClimate Analytics你可以访问所有3小时天气数据类型from the same place:

Typical Years

For Compliance and Certification

Design Years

For Building Design Simulations

Actual Years

For Post Occupancy and Design Studies

• Freely available typical year weather data from EnergyPlus and Climate.OneBuilding.org for thousands of locations
• Wide range of standard formats available including IWEC and TMY
• TMY and TRY typical data also availablefor any locationthrough our Design Analysis data

• Select design weather years for any location based on your criteria
• Based on a combination of station and gridded data from 1970 until present day
• Consider Urban Heat Island (UHI) effects
• Include the impact of future climate scenarios

• Ideal for use with “digital twin” calibrated models and design work requiring highest quality weather data
• Based on finely-gridded hourly data from 1980 until present day
• Monthly updates ensure you always have access to the latest data