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Stochastic model predictive control of mixed mode buildings based on probabilistic interactions of occupants with window blinds.

Number: pap. 3638

Author(s) : SADEGHI S. A., KARAVA P.

Summary

The paper presents a stochastic model predictive control (SMPC) framework for buildings with mixed-mode cooling and demonstrates a comparison with deterministic model predictive control (DMPC) and standard heuristic rules. In this study, a probabilistic model of occupants’ behavior on window blind closing event is used to represent the stochastic disturbance acting on the system over the prediction horizon. Monte Carlo (MC) simulation was used to capture this stochastic effect. It was found that SMPC leads to higher amount of energy consumption, providing a more realistic evaluation for the performance bounds of predictive control in mixed-mode buildings since it considers the occupant-building interactions. Also it was found that SMPC results in lower thermal comfort violations than DMPC and significantly lower compared to heuristic control.

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Pages: 10 p.

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Details

  • Original title: Stochastic model predictive control of mixed mode buildings based on probabilistic interactions of occupants with window blinds.
  • Record ID : 30013641
  • Languages: English
  • Source: 2014 Purdue Conferences. 3rd International High Performance Buildings Conference at Purdue.
  • Publication date: 2014/07/14

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