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Title: Using hydrogen and ammonia for renewable energy storage: A geographically comprehensive techno-economic study

Abstract

Hydrogen and, more recently, ammonia have received worldwide attention as energy storage media. In this work we investigate the economics of using each of these chemicals as well as the two in combination for islanded renewable energy supply systems in 15 American cities representing different climate regions throughout the country. We use an optimal combined capacity planning and scheduling model which minimizes the levelized cost of energy (LCOE) by determining optimal unit selection and size along with unit commitments, production rates, and storage inventories for each period of system operation. These periods are aggregated from full year hourly resolution data via a consecutive temporal clustering algorithm. Ammonia is generally more economical than hydrogen as a single method of energy storage. Additionally, systems which use both hydrogen and ammonia outperform those which use only one storage option and have LCOE between $$\$$ 0.17$/kWh and $$\$$ 0.28$/kWh, including full investment in renewable generation infrastructure.

Authors:
ORCiD logo [1]; ORCiD logo [1]
  1. Univ. of Minnesota, Twin Cities, MN (United States). Dept. of Chemical Engineering and Materials Science
Publication Date:
Research Org.:
Univ. of Minnesota, Minneapolis, MN (United States)
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
OSTI Identifier:
1616471
Alternate Identifier(s):
OSTI ID: 1604101
Grant/Contract Number:  
AR0000804
Resource Type:
Accepted Manuscript
Journal Name:
Computers and Chemical Engineering
Additional Journal Information:
Journal Volume: 136; Journal Issue: C; Related Information: raw research data; Journal ID: ISSN 0098-1354
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; Energy storage; Renewable energy; Capacity planning; Scheduling; Optimization

Citation Formats

Palys, Matthew J., and Daoutidis, Prodromos. Using hydrogen and ammonia for renewable energy storage: A geographically comprehensive techno-economic study. United States: N. p., 2020. Web. https://doi.org/10.1016/j.compchemeng.2020.106785.
Palys, Matthew J., & Daoutidis, Prodromos. Using hydrogen and ammonia for renewable energy storage: A geographically comprehensive techno-economic study. United States. https://doi.org/10.1016/j.compchemeng.2020.106785
Palys, Matthew J., and Daoutidis, Prodromos. Thu . "Using hydrogen and ammonia for renewable energy storage: A geographically comprehensive techno-economic study". United States. https://doi.org/10.1016/j.compchemeng.2020.106785. https://www.osti.gov/servlets/purl/1616471.
@article{osti_1616471,
title = {Using hydrogen and ammonia for renewable energy storage: A geographically comprehensive techno-economic study},
author = {Palys, Matthew J. and Daoutidis, Prodromos},
abstractNote = {Hydrogen and, more recently, ammonia have received worldwide attention as energy storage media. In this work we investigate the economics of using each of these chemicals as well as the two in combination for islanded renewable energy supply systems in 15 American cities representing different climate regions throughout the country. We use an optimal combined capacity planning and scheduling model which minimizes the levelized cost of energy (LCOE) by determining optimal unit selection and size along with unit commitments, production rates, and storage inventories for each period of system operation. These periods are aggregated from full year hourly resolution data via a consecutive temporal clustering algorithm. Ammonia is generally more economical than hydrogen as a single method of energy storage. Additionally, systems which use both hydrogen and ammonia outperform those which use only one storage option and have LCOE between $\$ 0.17$/kWh and $\$ 0.28$/kWh, including full investment in renewable generation infrastructure.},
doi = {10.1016/j.compchemeng.2020.106785},
journal = {Computers and Chemical Engineering},
number = C,
volume = 136,
place = {United States},
year = {2020},
month = {2}
}

Journal Article:

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Cited by: 4 works
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