Deep Energy AI revolutionizes the way energy projects are modeled in buildings by allowing users to create single or multiple scenarios for any given project. These scenarios are built on a foundation of assumptions, which can include various factors such as energy consumption patterns, equipment efficiency, and tariff rates. When a scenario is run, each assumption is meticulously calculated, and the software generates detailed outputs in the form of engineering and financial metrics, charts, and tables. This comprehensive analysis enables users to evaluate the benefits of energy projects with precision, whether it involves tariff switching, demand reduction, electrification, equipment replacement, or other strategies.
The benefits are significant. Being able to accurately model energy projects helps in making informed decisions that can lead to substantial cost savings and improved energy efficiency. This analysis enables projects to be evaluated rapidly, allowing for strategy evaluation at both the building and portfolio levels without the need to engage specialist consultants. By assessing various scenarios, building owners can identify the most cost-effective and sustainable solutions tailored to their specific needs. This capability also supports long-term planning and investment by providing clear insights into the financial and operational impacts of different energy strategies. From broad brush-strokes on carbon reduction to specific equipment upgrades, Deep Energy AI's modeling features empowers building owners and operators to optimize their energy management, reduce costs, and achieve their sustainability goals with confidence.