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Adaptive And Predictive Control Of Thermally Activated Buildings Systems
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Adaptive And Predictive Control Of Thermally Activated Buildings Systems
Conference Proceeding by ASHRAE, 2014
Martin Schmelas; Thomas Feldmann; and Elmar Bollin
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The paper shows a completely self-learning and predictive method for the control of Thermally Activated Building Systems (TABS). The novel algorithm is based on a multiple linear regression technique and implemented in MATLAB. The building and TABS model are created under the simulation environment TRNSYS. Compared to conventional control strategies of TABS no parameterization of heating and cooling curves is necessary and the thermal comfort is improved.
Citation: ASHRAE/IBPSA-USA Bldg Simulation Conf, Atlanta, GA, Sept 2014