Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid

Yang Chen; Olufemi A. Omitaomu; Mengqi Hu; Saiid Kassaee; Adewale Odukomaiya; Patrick O'Connor; Ayyoub M. Momen; Brennan T. Smith; Xiaobing Liu

doi:10.1109/PESGM40551.2019.8973702

Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid

Yang Chen, Olufemi A. Omitaomu, Mengqi Hu, Saiid Kassaee, Adewale Odukomaiya, Patrick O'Connor, Ayyoub M. Momen, Brennan T. Smith, Xiaobing Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Behind-meter application for a recently invented hydropneumatic Ground-Level Integrated Diverse Energy Storage (GLIDES) is focused in this research. Considering possible uncertainties from solar radiation and electricity load in a building microgrid, two-stage stochastic programming is adopted for 15-min operation and a mixed-integer nonlinear stochastic model is built with integrated energy systems of GLIDES, solar panel and power generating unit. In order to make the model computationally tractable, we use sample average approximate method to decrease associated complexity with sample size and improve solving efficiency. The experimental results in deterministic and stochastic operation indicate that best candidate solution from SAA are superior to the solution from expected value problem in terms of optimality gap and variance.

Original language	English
Title of host publication	2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728119816
DOIs	https://doi.org/10.1109/PESGM40551.2019.8973702
State	Published - Aug 2019
Event	2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States Duration: Aug 4 2019 → Aug 8 2019

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2019-August
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Country/Territory	United States
City	Atlanta
Period	08/4/19 → 08/8/19

Funding

Y. Chen, P. O’Connor, B. T. Smith are with Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, USA (email: [email protected], [email protected], [email protected]) M. Hu is with Department of Mechanical & Industrial Engineering, University of Illinois at Chicago, Chicago, USA (email: [email protected]) O. A. Omitaomu is with Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, USA (email: [email protected]) S. Kassaee is with Department of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, USA (email: [email protected]) A. Odukomaiya is with Buildings and Thermal Science Center, National Renewable Energy Laboratory, Golden, USA (email: [email protected]) A. Momen, X. Liu are with Energy and Transportation Science Division, Oak Ridge National Laboratory, Oak Ridge, USA (email: [email protected], [email protected]) Corresponding Author: Y. Chen (email: [email protected]) This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/ doe-public-access-plan)

Funders	Funder number
Buildings and Thermal Science Center
U.S. Department of Energy
National Renewable Energy Laboratory	DE-AC05-00OR22725
University of Tennessee

Keywords

GLIDES
Modular Pump Hydro Storage
Sample Average Approximation
Two-Stage Stochastic Programming

UN SDGs

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

Access to Document

10.1109/PESGM40551.2019.8973702

Cite this

Chen, Y., Omitaomu, O. A., Hu, M., Kassaee, S., Odukomaiya, A., O'Connor, P., Momen, A. M., Smith, B. T., & Liu, X. (2019). Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid. In 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 Article 8973702 (IEEE Power and Energy Society General Meeting; Vol. 2019-August). IEEE Computer Society. https://doi.org/10.1109/PESGM40551.2019.8973702

@inproceedings{02395cb7428a4a488e360bbc851eea17,

title = "Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid",

abstract = "Behind-meter application for a recently invented hydropneumatic Ground-Level Integrated Diverse Energy Storage (GLIDES) is focused in this research. Considering possible uncertainties from solar radiation and electricity load in a building microgrid, two-stage stochastic programming is adopted for 15-min operation and a mixed-integer nonlinear stochastic model is built with integrated energy systems of GLIDES, solar panel and power generating unit. In order to make the model computationally tractable, we use sample average approximate method to decrease associated complexity with sample size and improve solving efficiency. The experimental results in deterministic and stochastic operation indicate that best candidate solution from SAA are superior to the solution from expected value problem in terms of optimality gap and variance.",

keywords = "GLIDES, Modular Pump Hydro Storage, Sample Average Approximation, Two-Stage Stochastic Programming",

author = "Yang Chen and Omitaomu, {Olufemi A.} and Mengqi Hu and Saiid Kassaee and Adewale Odukomaiya and Patrick O'Connor and Momen, {Ayyoub M.} and Smith, {Brennan T.} and Xiaobing Liu",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 ; Conference date: 04-08-2019 Through 08-08-2019",

year = "2019",

month = aug,

doi = "10.1109/PESGM40551.2019.8973702",

language = "English",

series = "IEEE Power and Energy Society General Meeting",

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Chen, Y , Omitaomu, OA, Hu, M, Kassaee, S, Odukomaiya, A, O'Connor, P, Momen, AM, Smith, BT & Liu, X 2019, Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid. in 2019 IEEE Power and Energy Society General Meeting, PESGM 2019., 8973702, IEEE Power and Energy Society General Meeting, vol. 2019-August, IEEE Computer Society, 2019 IEEE Power and Energy Society General Meeting, PESGM 2019, Atlanta, United States, 08/4/19. https://doi.org/10.1109/PESGM40551.2019.8973702

Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid. / Chen, Yang ; Omitaomu, Olufemi A.; Hu, Mengqi et al.
2019 IEEE Power and Energy Society General Meeting, PESGM 2019. IEEE Computer Society, 2019. 8973702 (IEEE Power and Energy Society General Meeting; Vol. 2019-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid

AU - Chen, Yang

AU - Omitaomu, Olufemi A.

AU - Hu, Mengqi

AU - Kassaee, Saiid

AU - Odukomaiya, Adewale

AU - O'Connor, Patrick

AU - Momen, Ayyoub M.

AU - Smith, Brennan T.

AU - Liu, Xiaobing

PY - 2019/8

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N2 - Behind-meter application for a recently invented hydropneumatic Ground-Level Integrated Diverse Energy Storage (GLIDES) is focused in this research. Considering possible uncertainties from solar radiation and electricity load in a building microgrid, two-stage stochastic programming is adopted for 15-min operation and a mixed-integer nonlinear stochastic model is built with integrated energy systems of GLIDES, solar panel and power generating unit. In order to make the model computationally tractable, we use sample average approximate method to decrease associated complexity with sample size and improve solving efficiency. The experimental results in deterministic and stochastic operation indicate that best candidate solution from SAA are superior to the solution from expected value problem in terms of optimality gap and variance.

AB - Behind-meter application for a recently invented hydropneumatic Ground-Level Integrated Diverse Energy Storage (GLIDES) is focused in this research. Considering possible uncertainties from solar radiation and electricity load in a building microgrid, two-stage stochastic programming is adopted for 15-min operation and a mixed-integer nonlinear stochastic model is built with integrated energy systems of GLIDES, solar panel and power generating unit. In order to make the model computationally tractable, we use sample average approximate method to decrease associated complexity with sample size and improve solving efficiency. The experimental results in deterministic and stochastic operation indicate that best candidate solution from SAA are superior to the solution from expected value problem in terms of optimality gap and variance.

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KW - Two-Stage Stochastic Programming

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Allocation and Operation of A Hydropneumatic Energy Storage with Building Microgrid

Abstract

Publication series

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Keywords

UN SDGs

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