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Energy efficient building climate control using Stochastic Model Predictive Control and weather predictions

  • F. Oldewurtel
  • , A. Parisio
  • , C. N. Jones
  • , M. Morari
  • , D. Gyalistras
  • , M. Gwerder
  • , V. Stauch
  • , B. Lehmann
  • , K. Wirth

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    Original languageEnglish
    Title of host publicationProceedings of the 2010 American Control Conference
    Subtitle of host publication June 30 2010-July 2 2010
    Place of PublicationPiscataway
    PublisherIEEE
    Pages5100-5105
    Number of pages6
    ISBN (Print)978-1-4244-7426-4
    DOIs
    Publication statusPublished - 1 Jun 2010

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • air conditioning
    • bilinear systems
    • building management systems
    • climatology
    • energy conservation
    • energy consumption
    • predictive control
    • probability
    • space heating
    • stochastic systems
    • ventilation
    • weather forecasting
    • SMPC strategy
    • bilinear model
    • building variant
    • climate change
    • control performance
    • energy efficient building climate control
    • global final energy use
    • heating
    • large-scale simulation
    • massive energy saving
    • occupant comfort
    • probabilistic constraint
    • stochastic model predictive control
    • stochastic uncertainty
    • time varying constraint
    • weather condition
    • weather prediction
    • Actuators
    • Automatic control
    • Energy efficiency
    • Mathematical model
    • Predictive control
    • Predictive models
    • Stochastic processes
    • Temperature control
    • Uncertainty
    • Weather forecasting

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