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.

Electronic downloads

• https://www.src.org/library/publication/p069385/
• 10.1109/ACC.2014.6858874
• http://escholarship.org/uc/item/5dc761j0. (link to eScholarship site)
• acc14.pdf · application/pdf · 1105 kbytes. ("Camera Ready" Version)

• 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.