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EPFL > ENAC > LESO-PB > Biomimetic Control > Stochastic Control
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Daylighting+Perception

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Bio-mimetic Building Control

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STOCHASTIC CONTROL - PREDICTIVE HEATING CONTROLLER USING STOCHASTIC WEATHER PREDICTION

Project leader: Prof. Jean-Louis Scartezzini

Collaborator: Marie Nygard , François Bochud

Duration and funding: 1989-1991, NEFF (National Foundation for Energy Resarch), EPFL

 

Summary

In order to find the optimal command sequence for the next time horizon (typically 6 or 12 hours), a dynamic programming algorithm finds the minimal cost function integrated over the time horizon. The cost function takes into account both the thermal comfort (when the user is present) and the heating energy used.

 

Algorithms used

Stochastic model of the weather data (ambient temperature and solar radiation), dynamic programming

Work carried out

algorithm development, simulation study, comparative measurements on two rooms of the LESO building

 

Publications

Printed copies of the final report available from leso-pb[at]epfl.ch

 

 

 



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last update: 3 April 2006