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

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

doi:10.1109/NAPS.2016.7747893

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

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

Power Systems Engineering

University of Denver

Research output: Contribution to conference › Paper › peer-review

5 Scopus Citations

Abstract

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 language	American English
Number of pages	6
DOIs	https://doi.org/10.1109/NAPS.2016.7747893 https://doi.org/10.1109/NAPS.2016.7747893
State	Published - 17 Nov 2016
Event	48th North American Power Symposium, NAPS 2016 - Denver, United States Duration: 18 Sep 2016 → 20 Sep 2016

Conference

Conference	48th North American Power Symposium, NAPS 2016
Country/Territory	United States
City	Denver
Period	18/09/16 → 20/09/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

NREL Publication Number

NREL/CP-5D00-67826

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

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title = "Distribution Locational Real-Time Pricing Based Smart Building Control and Management",

abstract = "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.",

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

author = "Yingchen Zhang and Jun Hao and Xiaoxiao Dai and Jun Zhang and Wenzhong Gao",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 48th North American Power Symposium, NAPS 2016 ; Conference date: 18-09-2016 Through 20-09-2016",

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doi = "10.1109/NAPS.2016.7747893",

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AU - Zhang, Yingchen

AU - Hao, Jun

AU - Dai, Xiaoxiao

AU - Zhang, Jun

AU - Gao, Wenzhong

PY - 2016/11/17

Y1 - 2016/11/17

N2 - 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.

AB - 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.

KW - artificial systems

KW - distribution locational marginal real-time price

KW - feedback

KW - human comfort

KW - numeric experiments

KW - parallel intelligence and control

KW - Smart building

KW - social energy

KW - working performance

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U2 - 10.1109/NAPS.2016.7747893

DO - 10.1109/NAPS.2016.7747893

M3 - Paper

AN - SCOPUS:85006817298

T2 - 48th North American Power Symposium, NAPS 2016

Y2 - 18 September 2016 through 20 September 2016

ER -

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

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

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