Aggressive energy standards and the advent of green building practices have placed a new emphasis on energy modeling.
Safari Engineering is the industry’s top energy modeling team, with a wide range of experience and expertise in full building simulations for LEED, NYSERDA rebate program modeling, and NYCECC code compliance. We provide guidance from the beginning to the end to maximize efficiency and savings.
We also specialize in modeling for design guidance, which uses preliminary energy simulations to provide project teams with hard data insights into energy and economic decisions.
Our team uses advanced solutions such as eQuest, Trace, and Excel Models to develop effective energy models which present a real picture of your property.
Many architecture and engineering firms consider modeling a necessity in the design process. Performance modeling increases the ability to make informed decisions to improve energy performance, increase thermal and visual comfort, and improve building durability, among other design issues key to design excellence.
Energy modeling is a computer-based simulation process that calculates a building’s energy consumption, performance, and efficiency. It helps in making informed decisions about design, construction, and operation to optimize energy use and sustainability.
Energy modeling provides insights into potential energy savings, helps assess the impact of design choices, and can lead to reduced operational costs, improved comfort, and environmental sustainability. It aids in meeting energy efficiency goals and regulatory compliance.
Energy modeling is valuable at various stages of a project, from the early design phase to retrofits and renovations. It’s particularly useful for evaluating the energy performance of different design options.
The duration varies depending on project complexity and scope. Preliminary analyses can be completed relatively quickly, while detailed modeling for large or complex projects may take several weeks.
The accuracy of energy modeling results depends on the quality of input data and the modeling assumptions. It is essential to work with experienced professionals who can provide accurate modeling based on real-world conditions.
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