Citation
Mehdi Maasoumy, Qi Zhu, Cheng Li, Forest Meggers, Alberto Sangiovanni-Vincentelli. "Co-design of Control Algorithm and Embedded Platform for Building HVAC Systems". Proceedings of the 4th ACM/IEEE International Conference on Cyber-Physical Systems, 10, 8, April, 2013; The publication does not specifically credit TerraSwarm, but is nonetheless of interest to TerraSwarm researchers in Task 1 (Smart City) and Task 4 (Methodologies, Models and Tools).

Abstract
The design of heating, ventilation and air conditioning (HVAC)systems is crucial for reducing energy consumption in buildings. As complex cyber-physical systems, HVAC systems involve three closely-related subsystems - the control algorithm, the physical building and environment and the embedded implementation platform. In the traditional topdown approach, the control algorithm and the embedded platform are in general designed separately leading to suboptimal systems. We propose a co-design approach that analyzes the interaction between the control algorithm and the embedded platform through a set of interface variables (in this paper we address in particular sensing accuracy). We present six control algorithms that take into account the sensing error, and model the relation of control performance and cost versus sensing error. We also capture the relation of embedded platform cost versus sensing error by analysis of the collected data from a testbed. Based on these models, we explore the co-design of the control algorithm and the temperature sensing subsystem of the embedded platform to optimize with respect to energy cost and monetary cost while satisfying the constraints for user comfort level.

Electronic downloads

• MaasoumyCoDesignICCPS_2013.pdf · application/pdf · 5023 kbytes
• Mehdi_Maasoumy_ICCPS_2013.pdf · application/pdf · 5023 kbytes
• http://www.src.org/library/publication/p066716/. (SRC publication page)

• HTML

  Mehdi Maasoumy, Qi Zhu, Cheng Li, Forest Meggers, Alberto
  Sangiovanni-Vincentelli. <a
  href="http://www.terraswarm.org/pubs/61.html"
  >Co-design of Control Algorithm and Embedded Platform for
  Building HVAC Systems</a>, Proceedings of the 4th
  ACM/IEEE International Conference on Cyber-Physical Systems,
  10, 8, April, 2013; The publication does not specifically
  credit TerraSwarm, but is nonetheless of interest to
  TerraSwarm researchers in Task 1 (Smart City) and Task 4
  (Methodologies, Models and Tools).

• Plain text

  Mehdi Maasoumy, Qi Zhu, Cheng Li, Forest Meggers, Alberto
  Sangiovanni-Vincentelli. "Co-design of Control
  Algorithm and Embedded Platform for Building HVAC
  Systems". Proceedings of the 4th ACM/IEEE International
  Conference on Cyber-Physical Systems, 10, 8, April, 2013;
  The publication does not specifically credit TerraSwarm, but
  is nonetheless of interest to TerraSwarm researchers in Task
  1 (Smart City) and Task 4 (Methodologies, Models and Tools).

• BibTeX

  @inproceedings{MaasoumyZhuLiMeggersSangiovanniVincentelli13_CodesignOfControlAlgorithmEmbeddedPlatformForBuilding,
      author = {Mehdi Maasoumy and Qi Zhu and Cheng Li and Forest
                Meggers and Alberto Sangiovanni-Vincentelli},
      title = {Co-design of Control Algorithm and Embedded
                Platform for Building HVAC Systems},
      booktitle = {Proceedings of the 4th ACM/IEEE International
                Conference on Cyber-Physical Systems},
      pages = {10},
      day = {8},
      month = {April},
      year = {2013},
      note = {The publication does not specifically credit
                TerraSwarm, but is nonetheless of interest to
                TerraSwarm researchers in Task 1 (Smart City) and
                Task 4 (Methodologies, Models and Tools).},
      abstract = {The design of heating, ventilation and air
                conditioning (HVAC)systems is crucial for reducing
                energy consumption in buildings. As complex
                cyber-physical systems, HVAC systems involve three
                closely-related subsystems - the control
                algorithm, the physical building and environment
                and the embedded implementation platform. In the
                traditional topdown approach, the control
                algorithm and the embedded platform are in general
                designed separately leading to suboptimal systems.
                We propose a co-design approach that analyzes the
                interaction between the control algorithm and the
                embedded platform through a set of interface
                variables (in this paper we address in particular
                sensing accuracy). We present six control
                algorithms that take into account the sensing
                error, and model the relation of control
                performance and cost versus sensing error. We also
                capture the relation of embedded platform cost
                versus sensing error by analysis of the collected
                data from a testbed. Based on these models, we
                explore the co-design of the control algorithm and
                the temperature sensing subsystem of the embedded
                platform to optimize with respect to energy cost
                and monetary cost while satisfying the constraints
                for user comfort level.},
      URL = {http://terraswarm.org/pubs/61.html}
  }
  

Posted by Mehdi Maasoumy on 9 May 2013.
Groups: terraswarm