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Autonomous Solutions for Self-Regulating Sustainable Habitats

As we continue to expand our presence in the solar system to Mars and beyond, developing intelligent, autonomous technologies for sustainable habitats is needed in order to prolong human presence in deep space. Advancement in solar generation, battery storage, energy monitoring, diagnostics and control can have a direct translation to deep space habitats and self-sustainability on lunar outposts. This is particularly the case when significant time delays and uncertainty necessitate autonomy-driven solutions that are able to adapt and learn in a changing environment. With the recent miniaturization of low-cost, distributed sensing (Internet of Things (IoT)) and real-time computation, test-beds can be readily constructed to validate and test autonomous control algorithms that may one day transition to deep space habitats. This project will focus on the development of real-time monitoring, diagnostics, and intelligent control methods that come together to improve operational efficiency, increase autonomy, and enhance global performance objectives. Research will be conducted in several buildings in the NASA Ames Research Park including NASA Ames Sustainability Base.

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Mario Bergés
Professor of Civil and Environmental Engineering

My research interests vary, but generally gravitate towards the development of technologies to make our built enviornment and the communities in them more autonomous and efficient.