WegoWise is an energy efficiency platform, which holds the largest database of multifamily utility data in the world (pulling utility performance data from over one million units).
Collect energy & water data can to take advantage of green financing
So, now that you know you can achieve pricing breaks for improving the efficiency of your buildings by 20% and obtaining green certifications, how can you measure that and comply with green certifications, like Energy Star and LEED?
Benchmarking energy and water usage provides the foundation for improving the efficiency of your buildings, allowing owners and managers to track and analyze building utility performance. This helps you identify areas for improvement, measure the success of building upgrades, then measure and verify the savings.
Benchmarking your properties allows you to take advantage of Fannie Mae’s Multifamily Green Financing Program, determine where there are savings opportunities, and where you might be eligible for green certifications.
In order to comply with Green Financing, property improvements must be completed within 12 months and lenders will verify the completion of the agreed-upon property improvements. Borrower must report the Property’s Energy Performance Metrics, including ENERGY STAR score, on an annual basis.
WegoWise integrates with Portfolio Manager, meaning we can automatically import your data from WegoWise into Portfolio Manager to comply with Fannie Mae’s Multifamily Green Financing Program, and green certifications, like LEED and Energy Star
Additionally, WegoWise can help owners:
Determine how each of your buildings are performing, and which ones you should focus on improving through our Building Opportunity Report, which evaluates energy and water for each building in the portfolio with targeted recommendations, prioritized by size of savings opportunity, so you can use budgets efficiently by focusing on the biggest potential ROI.
Measure whether your building upgrade projects saving as much energy and water as promised by providing analysis for specific upgrade projects with weather-adjusted regression models.