Rebates and tax deductions deductions are two pillars of energy modeling.

Everyone should know about the 179D tax deduction. It's basically like a LEED model without the LEED review, and you get paid if the results are promising.

With the help of eSai LLC experts, we will teach you how to receive as much as $5/square foot in federal tax deductions for your energy efficiency projects from 2006 to 2024. The session includes a Q & A discussion from an expert

Bob Fassbender and guest expert Nandini Mouli, PhD will work together to bring you up to speed. You can choose one of the following time slots:

In the quest for energy efficiency, many property owners and developers are turning to energy modeling to optimize building performance and reduce operating costs. However, the benefits of energy modeling extend beyond just energy savings. Did you know that incorporating energy modeling into your building project can also help you secure lower interest rates on loans? Financial institutions increasingly recognize the value of energy-efficient buildings, and they are offering better loan terms to projects that demonstrate significant energy savings through energy modeling. Here’s how energy modeling can help you save on loan costs, along with a list of specific programs that offer these financial benefits.

Energy audits are essential for identifying inefficiencies in buildings and recommending ways to reduce energy consumption and costs. However, certain situations require a deeper analysis, where a standard energy audit may not be enough. In these cases, energy modeling becomes a crucial tool for providing accurate, data-driven insights. Here are five scenarios when an energy audit truly needs the support of an energy model.

Heating, ventilation, and air conditioning (HVAC) systems are among the largest energy consumers in most buildings. When an energy audit identifies the need for an HVAC upgrade, it’s important to assess how different system options will perform in the specific building...

The advent of machine learning in the energy sector has the potential to bring a golden age for building energy modelers. Imagine being able to generate building geometry from a PDF, or calibrate a model as easily as using the solver function in Excel? Imagine running a pre-simulation that approximates results in real time. These things are already possible and being done on small scale. We just need the right people to step up and develop such tools and offer them open-source or at reasonable prices.

But who will develop the AI tools? And why?

Well, several stakeholders are perhaps unknowingly sitting atop AI gold mines. This series of blog posts aims to assist companies...