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A method for computing optimal set-point schedules for HVAC systems.

Number: pap. 232

Author(s) : NIKOVSKI D., XU J., NONAKA M.

Summary

We propose a method for model-based control of building air-conditioning systems that minimizes energy costs while maintaining occupant comfort. The method uses a building thermal model in the form of a thermal circuit identified from collected sensor data, and it reduces the building thermal dynamics to a Markov decision process (MDP) whose decision variables are the sequence of temperature set-points over a suitable horizon, for example one day. The main advantage of the resulting MDP model is that it is completely discrete, which allows for very fast computation of the optimal sequence of temperature set-points. Experiments on thermal models demonstrate savings that can exceed 50% with respect to usual control strategies in buildings such as night setup.

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Pages: 10 p.

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Details

  • Original title: A method for computing optimal set-point schedules for HVAC systems.
  • Record ID : 30008983
  • Languages: English
  • Source: Clima 2013. 11th REHVA World Congress and 8th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings.
  • Publication date: 2013/06/16

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