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Model Predictive Control of building-side hot water pumps at the NASA Sustainability Base


R. Franz

Master Thesis, HS14 (10343)

The Sustainability Base at NASA Ames Research Center is a high-performance, LEED Platinum building that has an ongoing mission to incorporate NASA innovations and technologies for continuous improvement of energy efficiency, reducing the carbon footprint and lowering operating and maintenance expenses compared to traditional buildings. Building systems in such buildings are increasingly capable of distributed sensing and automatic building control down to individual actuators, however overall objectives such as system efficiency and energy usage are usually not controlled directly. This project hypothesized the integration of a control and alarm system through advanced control and prediction techniques that can achieve significant improvements in building control efficiency and performance. We have investigated the use of Model Predictive Control (MPC) for the hot water pump and pipe system within the Sustainability Base. We demonstrated in simulation that MPC can improve automated control of the pump by the means of constraint satisfaction and reference tracking. Constraints imposed included equipment and environmental limits. In order to increase reference tracking performance we also simulate the system applying offset-free MPC. Furthermore, we propose a way to implement MPC on the supervisory control level in order circumvent issues due to access right, proprietary software and vendor specific interfaces as well as low level programming languages.

Supervisors: Rodney Martin (NASA), Manfred Morari


Type of Publication:

(12)Diploma/Master Thesis

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2015:IFA_5201
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