skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Economic Analysis and Optimal Sizing for behind-the-meter Battery Storage

Abstract

This paper proposes methods to estimate the potential benefits and determine the optimal energy and power capacity for behind-the-meter BSS. In the proposed method, a linear programming is first formulated only using typical load profiles, energy/demand charge rates, and a set of battery parameters to determine the maximum saving in electric energy cost. The optimization formulation is then adapted to include battery cost as a function of its power and energy capacity in order to capture the trade-off between benefits and cost, and therefore to determine the most economic battery size. Using the proposed methods, economic analysis and optimal sizing have been performed for a few commercial buildings and utility rate structures that are representative of those found in the various regions of the Continental United States. The key factors that affect the economic benefits and optimal size have been identified. The proposed methods and case study results cannot only help commercial and industrial customers or battery vendors to evaluate and size the storage system for behind-the-meter application, but can also assist utilities and policy makers to design electricity rate or subsidies to promote the development of energy storage.

Authors:
; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1339051
Report Number(s):
PNNL-SA-114067
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: 2016 IEEE Power and Energy Society General Meeting, July 17-21, 2016, Boston, Massachusetts, 1-5
Country of Publication:
United States
Language:
English

Citation Formats

Wu, Di, Kintner-Meyer, Michael CW, Yang, Tao, and Balducci, Patrick J. Economic Analysis and Optimal Sizing for behind-the-meter Battery Storage. United States: N. p., 2016. Web. doi:10.1109/PESGM.2016.7741210.
Wu, Di, Kintner-Meyer, Michael CW, Yang, Tao, & Balducci, Patrick J. Economic Analysis and Optimal Sizing for behind-the-meter Battery Storage. United States. doi:10.1109/PESGM.2016.7741210.
Wu, Di, Kintner-Meyer, Michael CW, Yang, Tao, and Balducci, Patrick J. Mon . "Economic Analysis and Optimal Sizing for behind-the-meter Battery Storage". United States. doi:10.1109/PESGM.2016.7741210.
@article{osti_1339051,
title = {Economic Analysis and Optimal Sizing for behind-the-meter Battery Storage},
author = {Wu, Di and Kintner-Meyer, Michael CW and Yang, Tao and Balducci, Patrick J.},
abstractNote = {This paper proposes methods to estimate the potential benefits and determine the optimal energy and power capacity for behind-the-meter BSS. In the proposed method, a linear programming is first formulated only using typical load profiles, energy/demand charge rates, and a set of battery parameters to determine the maximum saving in electric energy cost. The optimization formulation is then adapted to include battery cost as a function of its power and energy capacity in order to capture the trade-off between benefits and cost, and therefore to determine the most economic battery size. Using the proposed methods, economic analysis and optimal sizing have been performed for a few commercial buildings and utility rate structures that are representative of those found in the various regions of the Continental United States. The key factors that affect the economic benefits and optimal size have been identified. The proposed methods and case study results cannot only help commercial and industrial customers or battery vendors to evaluate and size the storage system for behind-the-meter application, but can also assist utilities and policy makers to design electricity rate or subsidies to promote the development of energy storage.},
doi = {10.1109/PESGM.2016.7741210},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jul 18 00:00:00 EDT 2016},
month = {Mon Jul 18 00:00:00 EDT 2016}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: