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Estimating Demand Response Potential of Buildings Using a Predictive HVAC Model

[+] Author Affiliations
Froylan E. Sifuentes

University of California, Berkeley, CA

Taylor Keep

VITAL environments, Inc., San Francisco, CA

Paper No. POWER2014-32152, pp. V002T14A005; 11 pages
doi:10.1115/POWER2014-32152
From:
  • ASME 2014 Power Conference
  • Volume 2: Simple and Combined Cycles; Advanced Energy Systems and Renewables (Wind, Solar and Geothermal); Energy Water Nexus; Thermal Hydraulics and CFD; Nuclear Plant Design, Licensing and Construction; Performance Testing and Performance Test Codes; Student Paper Competition
  • Baltimore, Maryland, USA, July 28–31, 2014
  • Conference Sponsors: Power Division
  • ISBN: 978-0-7918-4609-4
  • Copyright © 2014 by ASME

abstract

Increasing penetration of intermittent renewable electricity into the grid, coupled with development of new communication and control strategies, is creating challenges and opportunities for demand response (DR) to balance the grid. This paper presents a model characterization of a controllable buildings Variable Air Volume HVAC (VAV HVAC) system capable of implementing control strategies that provide flexibility to the grid. A Model Predictive Controller (MPC) capable of reliably varying the modeled power by ±20%, or up to ±2 GW on a national scale, every five minutes without compromising occupants comfort was built. A climate analysis was performed in order to assess the availability of controllable resources in sixteen cities. It is found that this control strategy could be implemented up to 99% of the time in the hottest regions, but as low as 10% of the time in the coldest.

Copyright © 2014 by ASME

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