For many organizations a model used in an analysis is simply a black box into which data is entered and an answer is returned. A true understanding of the influence of the input data and simulation parameters is not easily obtained without a fundamental understanding of the physics/chemistry being represented, the equations chosen for that representation and the numerical solution methodology used to solve those equations. IES personnel have been writing, developing and applying numerical model systems for over 35 years. See Project Examples for Numerical Model Development and Application
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