Development and analysis of an energy storage sizing tool for residential deployment

Michael Starke; Nevin Sawyer; Benjamin Dean; Mitch Smith; Guodong Liu; Dirk Spiers; Bryan Schultz; Harvey Harman

doi:10.1109/PESGM.2017.8273752

Development and analysis of an energy storage sizing tool for residential deployment

Michael Starke, Nevin Sawyer, Benjamin Dean, Mitch Smith, Guodong Liu, Dirk Spiers, Bryan Schultz, Harvey Harman

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

2 Scopus citations

Abstract

Decreasing cost of energy storage technologies is driving the need to determine the economic feasibility of deploying a residential energy storage system. An approach utilizing more readily available data sets from home owners and other public datasets is discussed. Using a Mixed-Integer Linear Program (MILP) for optimization, the approach estimates the optimal size of the battery and inverter as well as the cost of the system and the annual estimate financial benefit. This approach is written in python, with an expectation of an open public release to the energy storage community.

Original language	English
Title of host publication	2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Publisher	IEEE Computer Society
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538622124
DOIs	https://doi.org/10.1109/PESGM.2017.8273752
State	Published - Jan 29 2018
Event	2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States Duration: Jul 16 2017 → Jul 20 2017

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2018-January
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Country/Territory	United States
City	Chicago
Period	07/16/17 → 07/20/17

Keywords

Energy Storage Sizing
Optimal Sizing
Residential Energy Storage

Access to Document

10.1109/PESGM.2017.8273752

Cite this

Starke, M., Sawyer, N., Dean, B., Smith, M., Liu, G., Spiers, D., Schultz, B., & Harman, H. (2018). Development and analysis of an energy storage sizing tool for residential deployment. In 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 (pp. 1-5). (IEEE Power and Energy Society General Meeting; Vol. 2018-January). IEEE Computer Society. https://doi.org/10.1109/PESGM.2017.8273752

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title = "Development and analysis of an energy storage sizing tool for residential deployment",

abstract = "Decreasing cost of energy storage technologies is driving the need to determine the economic feasibility of deploying a residential energy storage system. An approach utilizing more readily available data sets from home owners and other public datasets is discussed. Using a Mixed-Integer Linear Program (MILP) for optimization, the approach estimates the optimal size of the battery and inverter as well as the cost of the system and the annual estimate financial benefit. This approach is written in python, with an expectation of an open public release to the energy storage community.",

keywords = "Energy Storage Sizing, Optimal Sizing, Residential Energy Storage",

author = "Michael Starke and Nevin Sawyer and Benjamin Dean and Mitch Smith and Guodong Liu and Dirk Spiers and Bryan Schultz and Harvey Harman",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 ; Conference date: 16-07-2017 Through 20-07-2017",

year = "2018",

month = jan,

day = "29",

doi = "10.1109/PESGM.2017.8273752",

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Starke, M, Sawyer, N, Dean, B, Smith, M, Liu, G, Spiers, D, Schultz, B & Harman, H 2018, Development and analysis of an energy storage sizing tool for residential deployment. in 2017 IEEE Power and Energy Society General Meeting, PESGM 2017. IEEE Power and Energy Society General Meeting, vol. 2018-January, IEEE Computer Society, pp. 1-5, 2017 IEEE Power and Energy Society General Meeting, PESGM 2017, Chicago, United States, 07/16/17. https://doi.org/10.1109/PESGM.2017.8273752

Development and analysis of an energy storage sizing tool for residential deployment. / Starke, Michael; Sawyer, Nevin; Dean, Benjamin et al.
2017 IEEE Power and Energy Society General Meeting, PESGM 2017. IEEE Computer Society, 2018. p. 1-5 (IEEE Power and Energy Society General Meeting; Vol. 2018-January).

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

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T1 - Development and analysis of an energy storage sizing tool for residential deployment

AU - Starke, Michael

AU - Sawyer, Nevin

AU - Dean, Benjamin

AU - Smith, Mitch

AU - Liu, Guodong

AU - Spiers, Dirk

AU - Schultz, Bryan

AU - Harman, Harvey

PY - 2018/1/29

Y1 - 2018/1/29

N2 - Decreasing cost of energy storage technologies is driving the need to determine the economic feasibility of deploying a residential energy storage system. An approach utilizing more readily available data sets from home owners and other public datasets is discussed. Using a Mixed-Integer Linear Program (MILP) for optimization, the approach estimates the optimal size of the battery and inverter as well as the cost of the system and the annual estimate financial benefit. This approach is written in python, with an expectation of an open public release to the energy storage community.

AB - Decreasing cost of energy storage technologies is driving the need to determine the economic feasibility of deploying a residential energy storage system. An approach utilizing more readily available data sets from home owners and other public datasets is discussed. Using a Mixed-Integer Linear Program (MILP) for optimization, the approach estimates the optimal size of the battery and inverter as well as the cost of the system and the annual estimate financial benefit. This approach is written in python, with an expectation of an open public release to the energy storage community.

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KW - Optimal Sizing

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M3 - Conference contribution

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BT - 2017 IEEE Power and Energy Society General Meeting, PESGM 2017

PB - IEEE Computer Society

T2 - 2017 IEEE Power and Energy Society General Meeting, PESGM 2017

Y2 - 16 July 2017 through 20 July 2017

ER -

Development and analysis of an energy storage sizing tool for residential deployment

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Conference

Keywords

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