If you're a LEED AP you passed a pretty difficult test, so how difficult could a LEED energy model be? Well, doing an energy-model is one thing, but doing a LEED energy-model is another. With countless nuances in LEED modeling, it takes a decent bit of experience to get good at modeling for LEED. To be honest, I have seen some horrible models. In fact, in my years working in TRACE 700 support, I've told many LEED APs that he or she would save money by sub-consulting the project to a firm with more experience.
How can you avoid this? Well, we recommend making friends and getting training! We offer a low cost "LEED for Energy-Modelers" trainings available to get you started. Check out the free LEED energy modeling cheat sheet, which contains dozens of tips and gives a common step by step procedure on what a modeler would need to accomplish in energy-modeling software.
The other most important thing when doing models is to have an experienced friend or a paid consultant on standby. A good idea is to get involved in a community. We recommend joining the Onebuilding.org mailing lists, as well as participating in our energy modeling user forum
Bob Fassbender is the founder of Energy-Models.com and Fassbender Energy Advisory. A former Trane software engineer and instructor, Bob has more than 20 years of experience in energy modeling, building performance, utility incentives, and energy strategy.
His work spans whole-building energy modeling, calibration, independent technical review, decarbonization planning, utility incentive strategy, renewable energy analysis, and owner advisory services. Bob has supported projects ranging from commercial buildings and utility programs to large-scale data center developments involving power infrastructure, geothermal systems, heat recovery, and long-term energy planning.
Through Energy-Models.com, Bob has trained thousands of energy professionals in eQUEST, OpenStudio, EnergyPlus, LEED modeling, and building performance analysis. He continues to advise owners, engineers, architects, and developers on energy-related decisions while exploring emerging technologies such as artificial intelligence, machine learning, and advanced building analytics.