Distribution Locational Real-Time Pricing Based Smart Building Control and Management

Yingchen Zhang, Jun Hao, Xiaoxiao Dai, Jun Zhang, Wenzhong Gao

Research output: Contribution to conferencePaperpeer-review

5 Scopus Citations


This paper proposes an real-virtual parallel computing scheme for smart building operations aiming at augmenting overall social welfare. The University of Denver's campus power grid and Ritchie fitness center is used for demonstrating the proposed approach. An artificial virtual system is built in parallel to the real physical system to evaluate the overall social cost of the building operation based on the social science based working productivity model, numerical experiment based building energy consumption model and the power system based real-time pricing mechanism. Through interactive feedback exchanged between the real and virtual system, enlarged social welfare, including monetary cost reduction and energy saving, as well as working productivity improvements, can be achieved.

Original languageAmerican English
Number of pages6
StatePublished - 17 Nov 2016
Event48th North American Power Symposium, NAPS 2016 - Denver, United States
Duration: 18 Sep 201620 Sep 2016


Conference48th North American Power Symposium, NAPS 2016
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

NREL Publication Number

  • NREL/CP-5D00-67826


  • artificial systems
  • distribution locational marginal real-time price
  • feedback
  • human comfort
  • numeric experiments
  • parallel intelligence and control
  • Smart building
  • social energy
  • working performance


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