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In practice, these models lead to accurate results but require tremendous expertise to create and poorly adapt to the rapid iteration of architecture practice.  These models are often created separately from building energy models and loosely connected through pre- or post-processing to building energy data to assess system performance.  In post-processing post-processing,  each model is run separately and results are compiled in a spreadsheet application. Although post-processing is  widely used in practice, post-processing the organization of data is time consuming for the user and it  is the least accurate method because there is no feedback between the system model and building energy model. Pre-processing fully simulates one model and uses the results as input to the second model. model; commonly used when modeling dynamic daylighting systems with adaptive lighting building energy models.  Development of active systems is impeded by current modeling workflows which do not provide adequate feedback or facilitate rapid design iteration within the context of build energy modeling (BEM) \cite{hensen2012building}.  %\footnote{Hensen, Jan, and Roberto Lamberts. Building Performance Simulation for Design and Operation. Abingdon, Oxon: Spon, 2011. Print.}   To integrate and characterize emerging climate responsive technologies, an approach to modeling is required that encourages information exchange between different types of models at different scales, such that adaptive, higher-fidelity models can interface with standard BEM frameworks. 
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