Stress test your projects under future climate conditions

About the pilot

The purpose of the pilot is to learn how future climate data can improve real-world design, analysis, and planning decisions, and to keep improving FutureWeather.co based on what we learn together. Participating organizations get full Firm-plan access at no cost for the duration of the program.

• 3 months
• 50 jobs per month (complimentary Firm plan access)
• $2,247 total value ($749/month)

What we’re exploring

• HVAC sizing & equipment selection: Evaluate equipment and system sizing under future design conditions, using climate-adjusted EPW and DDY files.
• Energy, cost & capital planning: Understand how energy use, operating cost, and capital planning needs shift as the climate changes.
• Overheating, comfort & resilience: Assess overheating risk, thermal comfort, and building resilience under a range of future climate scenarios.
• Comparing design alternatives: Compare design options across multiple future years and climate scenarios to inform more robust decisions.

What participation involves

• Three short conversations (30 to 60 minutes each): a kickoff to discuss your projects, tools, and goals and get set up with full Firm-plan access; a midpoint review of your experience using the platform and any preliminary results; and a closeout on what you learned and what could be improved.
• Recognition: We’ll recognize participating organizations on the FutureWeather.co website, though any use of a firm’s name, logo, project information, or results is subject to mutual approval.
• Case study: Where work produces interesting results that can be shared publicly, we may develop a case study.

What is FutureWeather.co?

FutureWeather.co converts historical weather files into future climate-adjusted EPW, DDY, and STAT files, typically in under 30 seconds. The platform is based on a peer-reviewed morphing methodology and uses projections from 23 CMIP6 global climate models across multiple climate scenarios.

Platform enhancements include sub-daily climate data for better representation of future extremes, matching future DDY files to keep HVAC sizing conditions consistent with annual weather files, and batch generation across multiple scenarios, time horizons, and locations at once. A parametric mode is also in development for systematic exploration of climate uncertainty across design options.