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Title: NV Energy Electricity Storage Valuation

Abstract

This study examines how grid-level electricity storage may benet the operations of NV Energy in 2020, and assesses whether those benets justify the cost of the storage system. In order to determine how grid-level storage might impact NV Energy, an hourly production cost model of the Nevada Balancing Authority (\BA") as projected for 2020 was built and used for the study. Storage facilities were found to add value primarily by providing reserve. Value provided by the provision of time-of-day shifting was found to be limited. If regulating reserve from storage is valued the same as that from slower ramp rate resources, then it appears that a reciprocating engine generator could provide additional capacity at a lower cost than a pumped storage hydro plant or large storage capacity battery system. In addition, a 25-MW battery storage facility would need to cost $650/kW or less in order to produce a positive Net Present Value (NPV). However, if regulating reserve provided by storage is considered to be more useful to the grid than that from slower ramp rate resources, then a grid-level storage facility may have a positive NPV even at today's storage system capital costs. The value of having storage provide servicesmore » beyond reserve and time-of-day shifting was not assessed in this study, and was therefore not included in storage cost-benefit calculations.« less

Authors:
; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1107491
Report Number(s):
PNNL-22546
TE1400000
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
electrical energy storage, storage valuation, operating reserve, and variable generation

Citation Formats

Ellison, James F., Bhatnagar, Dhruv, Samaan, Nader A., and Jin, Chunlian. NV Energy Electricity Storage Valuation. United States: N. p., 2013. Web. doi:10.2172/1107491.
Ellison, James F., Bhatnagar, Dhruv, Samaan, Nader A., & Jin, Chunlian. NV Energy Electricity Storage Valuation. United States. https://doi.org/10.2172/1107491
Ellison, James F., Bhatnagar, Dhruv, Samaan, Nader A., and Jin, Chunlian. 2013. "NV Energy Electricity Storage Valuation". United States. https://doi.org/10.2172/1107491. https://www.osti.gov/servlets/purl/1107491.
@article{osti_1107491,
title = {NV Energy Electricity Storage Valuation},
author = {Ellison, James F. and Bhatnagar, Dhruv and Samaan, Nader A. and Jin, Chunlian},
abstractNote = {This study examines how grid-level electricity storage may benet the operations of NV Energy in 2020, and assesses whether those benets justify the cost of the storage system. In order to determine how grid-level storage might impact NV Energy, an hourly production cost model of the Nevada Balancing Authority (\BA") as projected for 2020 was built and used for the study. Storage facilities were found to add value primarily by providing reserve. Value provided by the provision of time-of-day shifting was found to be limited. If regulating reserve from storage is valued the same as that from slower ramp rate resources, then it appears that a reciprocating engine generator could provide additional capacity at a lower cost than a pumped storage hydro plant or large storage capacity battery system. In addition, a 25-MW battery storage facility would need to cost $650/kW or less in order to produce a positive Net Present Value (NPV). However, if regulating reserve provided by storage is considered to be more useful to the grid than that from slower ramp rate resources, then a grid-level storage facility may have a positive NPV even at today's storage system capital costs. The value of having storage provide services beyond reserve and time-of-day shifting was not assessed in this study, and was therefore not included in storage cost-benefit calculations.},
doi = {10.2172/1107491},
url = {https://www.osti.gov/biblio/1107491}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jun 30 00:00:00 EDT 2013},
month = {Sun Jun 30 00:00:00 EDT 2013}
}