Model Predictive Control Approach to Online Computation of Demand-Side Flexibility of Commercial Buildings HVAC Systems for Supply Following
Mehdi Maasoumy, Catherine Rosenberg, Alberto Sangiovanni-Vincentelli, Duncan Callaway

Citation
Mehdi Maasoumy, Catherine Rosenberg, Alberto Sangiovanni-Vincentelli, Duncan Callaway. "Model Predictive Control Approach to Online Computation of Demand-Side Flexibility of Commercial Buildings HVAC Systems for Supply Following". IEEE American Control Conference, 4, June, 2014.

Abstract
Commercial buildings have inherent flexibility in how their HVAC systems consume electricity. We investigate how to take advantage of this flexibility. We first propose a means to define and quantify the flexibility of a commercial building. We then propose a contractual framework that could be used by the building operator and the utility to declare flexibility on the one side and reward structure on the other side. We then design a control mechanism for the building to decide its flexibility for the next contractual period to maximize the reward, given the contractual framework. Finally, we perform at-scale experiments to demonstrate the feasibility of the proposed algorithm.

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Citation formats  
  • HTML
    Mehdi Maasoumy, Catherine Rosenberg, Alberto
    Sangiovanni-Vincentelli, Duncan Callaway. <a
    href="http://www.terraswarm.org/pubs/257.html"
    >Model Predictive Control Approach to Online Computation
    of Demand-Side Flexibility of Commercial Buildings HVAC
    Systems for Supply Following</a>, IEEE American
    Control Conference, 4, June, 2014.
  • Plain text
    Mehdi Maasoumy, Catherine Rosenberg, Alberto
    Sangiovanni-Vincentelli, Duncan Callaway. "Model
    Predictive Control Approach to Online Computation of
    Demand-Side Flexibility of Commercial Buildings HVAC Systems
    for Supply Following". IEEE American Control
    Conference, 4, June, 2014.
  • BibTeX
    @inproceedings{MaasoumyRosenbergSangiovanniVincentelliCallaway14_ModelPredictiveControlApproachToOnlineComputationOfDemandSide,
        author = {Mehdi Maasoumy and Catherine Rosenberg and Alberto
                  Sangiovanni-Vincentelli and Duncan Callaway},
        title = {Model Predictive Control Approach to Online
                  Computation of Demand-Side Flexibility of
                  Commercial Buildings HVAC Systems for Supply
                  Following},
        booktitle = {IEEE American Control Conference},
        day = {4},
        month = {June},
        year = {2014},
        abstract = {Commercial buildings have inherent flexibility in
                  how their HVAC systems consume electricity. We
                  investigate how to take advantage of this
                  flexibility. We first propose a means to define
                  and quantify the flexibility of a commercial
                  building. We then propose a contractual framework
                  that could be used by the building operator and
                  the utility to declare flexibility on the one side
                  and reward structure on the other side. We then
                  design a control mechanism for the building to
                  decide its flexibility for the next contractual
                  period to maximize the reward, given the
                  contractual framework. Finally, we perform
                  at-scale experiments to demonstrate the
                  feasibility of the proposed algorithm.},
        URL = {http://terraswarm.org/pubs/257.html}
    }
    

Posted by Mehdi Maasoumy on 10 Feb 2014.

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