Identification of Principal Factors in Determining Building Peak Energy Shaving Capacities during Demand Response Events

Xinran Yu, Semiha Ergan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the U.S., the building sector consumes 70% of electricity and lays massive pressure on national grids. To avoid electricity blackouts, demand response programs incentivize end-consumers for reducing their electricity demand during peak hours. Therefore, it is essential for grid operators to understand the electricity shaving capacity of buildings. However, previous studies either simplify buildings as black-boxes - resulting in low accuracy in estimations, or represent buildings with detailed information - resulting in over-parameterized models. In this study, the authors provided a computational framework to identify principal factors that dictate peak shaving capacities of buildings. In total, fifteen buildings during twelve DR events were used as testbeds as validation. The results showed that the day-in-the-week and the quantity of relevant equipment are part of the principal factors behind peak capacity determination. With this framework, practitioners can represent buildings beyond black-boxes with less complexity and promising accuracy of peak shaving capacity determination.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2019
Subtitle of host publicationSmart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019
EditorsChao Wang, Yong K. Cho, Fernanda Leite, Amir Behzadan
PublisherAmerican Society of Civil Engineers (ASCE)
Pages547-554
Number of pages8
ISBN (Electronic)9780784482445
DOIs
StatePublished - Jan 1 2019
EventASCE International Conference on Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience, i3CE 2019 - Atlanta, United States
Duration: Jun 17 2019Jun 19 2019

Publication series

NameComputing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019

Conference

ConferenceASCE International Conference on Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience, i3CE 2019
CountryUnited States
CityAtlanta
Period6/17/196/19/19

Fingerprint

Electricity
Testbeds

ASJC Scopus subject areas

  • Computer Science(all)
  • Civil and Structural Engineering

Cite this

Yu, X., & Ergan, S. (2019). Identification of Principal Factors in Determining Building Peak Energy Shaving Capacities during Demand Response Events. In C. Wang, Y. K. Cho, F. Leite, & A. Behzadan (Eds.), Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019 (pp. 547-554). (Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784482445.070

Identification of Principal Factors in Determining Building Peak Energy Shaving Capacities during Demand Response Events. / Yu, Xinran; Ergan, Semiha.

Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019. ed. / Chao Wang; Yong K. Cho; Fernanda Leite; Amir Behzadan. American Society of Civil Engineers (ASCE), 2019. p. 547-554 (Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yu, X & Ergan, S 2019, Identification of Principal Factors in Determining Building Peak Energy Shaving Capacities during Demand Response Events. in C Wang, YK Cho, F Leite & A Behzadan (eds), Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019. Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019, American Society of Civil Engineers (ASCE), pp. 547-554, ASCE International Conference on Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience, i3CE 2019, Atlanta, United States, 6/17/19. https://doi.org/10.1061/9780784482445.070
Yu X, Ergan S. Identification of Principal Factors in Determining Building Peak Energy Shaving Capacities during Demand Response Events. In Wang C, Cho YK, Leite F, Behzadan A, editors, Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019. American Society of Civil Engineers (ASCE). 2019. p. 547-554. (Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019). https://doi.org/10.1061/9780784482445.070
Yu, Xinran ; Ergan, Semiha. / Identification of Principal Factors in Determining Building Peak Energy Shaving Capacities during Demand Response Events. Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019. editor / Chao Wang ; Yong K. Cho ; Fernanda Leite ; Amir Behzadan. American Society of Civil Engineers (ASCE), 2019. pp. 547-554 (Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019).
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