Journal
COMPUTERS & CHEMICAL ENGINEERING
Volume 136, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2020.106785
Keywords
Energy storage; Renewable energy; Capacity planning; Scheduling; Optimization
Funding
- Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy [DE-AR0000804]
- University of Minnesota Doctoral Dissertation Fellowship
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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. (C) 2020 Elsevier Ltd. All rights reserved.
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