Thesis
Steady state modeling and analysis of a reversible solid oxide fuel cell based energy storage system
Washington State University
Master of Science (MS), Washington State University
2018
Handle:
https://hdl.handle.net/2376/102865
Abstract
High variable renewable energy penetrations are infeasible due to the high rates of curtailment necessary to maintain grid stability with existing grid infrastructure. Electrical energy storage can be used to increase grid stability and decrease curtailment at high renewable energy penetrations by storing variable renewable power when it is not usable by the grid. This thesis introduces a design for a reversible solid oxide fuel cell (reSOFC) based energy storage system that utilizes indirect and direct internal reformation and methanation to operate at high electrical efficiencies. By selecting operating conditions conducive to steam reformation in fuel cell mode and methanation in electrolysis cell mode, benefits to thermal management and reactant composition within the reSOFC are achieved. Under steady state operation, these conditions are found to result in higher electrical efficiencies in a methane-based reSOFC than a hydrogen-based reSOFC while avoiding carbon deposition within the reSOFC. This thesis outlines the modeling methods and requirements for a reSOFC-based energy storage system and applies that model to the use of variable renewable energy within the Pacific Northwest. A high-level analysis compares the optimized levelized cost of electricity for a reSOFC-based energy storage system with a state-of-the-art grid-scale battery energy storage system and finds reSOFC-based energy storage to be a competitive option.
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Details
- Title
- Steady state modeling and analysis of a reversible solid oxide fuel cell based energy storage system
- Creators
- Kevin Michael Scott
- Contributors
- Dustin F. McLarty (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Mechanical and Materials Engineering, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525165901842
- Language
- English
- Resource Type
- Thesis