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 #### Predictive Control Solution for Advanced Fenestration and Integrated Energy Systems
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 ## General
 This publicly available control package was developed to allow easy access to integrated dynamic facade and smart building control algorithms developed by Lawrence Berkeley National Laboratory's (LBNL) [Windows Group](https://windows.lbl.gov/). Dynamic facades can be any automated facade product such as motorized blinds, shades, or electrochromic windows. The control algorithms are based on the [Model Predictive Control](https://en.wikipedia.org/wiki/Model_predictive_control) technique and utilize LBNL’s Distributed Optimal Energy Resources ([DOPER](https://github.com/LBNL-ETA/DOPER)) and Framework for Multi-Layer Control ([FMLC](https://github.com/LBNL-ETA/FMLC)) developments to implement the algorithms.
 
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 The Advanced Fenestration Controller (AFC) is designed to minimize electricity cost and/or emissions in buildings through the control of dynamic facades (for example electrochromic windows, blinds, and shades), and lighting and HVAC systems. The AFC also considers a variety of control parameters such as visual and thermal comfort (glare, daylight, view, health, and wellness). It uses weather forecasts, and a set of measurements (room and floor temperature) to optimize control setpoints over a specified time horizon of typically 24 hours. The functionality illustrated below:
 
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 ![system_documentation.png](docs/system_documentation.png)
 
 *Please note that the AFC package and especially the examples are still under development. Please open an issue for specific questions.*
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