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In post-processing, each model is run separately and results are compiled in a spreadsheet application. Although post-processing is widely used in practice, 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; commonly used when modeling dynamic glazing systems for improved natural daylight with adaptive electric lighting building energy models.  Pre-processing is an improvement over post-processing as it provides better feedback between the models but often only one directional.  However, pre-processing requires the expertise need to simulate the primary model, reformat the results as input, and setup the BEM to utilize the input; creating a workflow that is difficult for laypersons to use and reducing the ability to iterate quickly through different designs.  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.  \subsection{Using Co-Simulation to Address Current Limitations}