Modeling and optimal operation of reversible solid oxide cells considering heat recovery and mode switching dynamics in microgrids Article Swipe
Chunjun Huang
,
Goran Štrbac
,
Yi Zong
,
Shi You
,
Chresten Træholt
,
Nigel P. Brandon
,
Jiawei Wang
,
Hossein Ameli
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.apenergy.2023.122477
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.apenergy.2023.122477
The reversible solid oxide cell (rSOC) is a promising technology for advancing energy decarbonization by enabling bidirectional conversion between electricity and hydrogen in a single device. However, previous studies have not fully explored the operational flexibility of rSOCs due to inadequate consideration of heat recovery potentials and dynamics of operating mode transitions. To address this research gap, this paper presents a model-based optimal operation method for managing multi-energy transactions in rSOC-based microgrids, aiming to minimize operation costs. The method incorporates detailed operational models of the rSOC, including a lumped thermal model to account for heat recovery capability and modeling of various operating modes and their transitions. Additionally, a linearization process is introduced to address nonlinear and implicit operational constraints, resulting in a computationally efficient mixed-integer linear programming (MILP) formulation for the operation model. Comparative case studies are conducted using modified energy portfolios of a Danish energy island. The results demonstrate that the proposed method effectively captures operating mode transitions within the rSOC and enhances its profitability via waste heat recovery. Notably, the rSOC model contributes to enhanced operational flexibility through heat recovery behaviors and a wider temperature range, resulting in substantial economic savings for the microgrid.
Related Topics
Concepts
Flexibility (engineering)
Microgrid
Computer science
Linearization
Electricity
Process (computing)
Process engineering
Mathematical optimization
Nonlinear system
Engineering
Electrical engineering
Control (management)
Mathematics
Artificial intelligence
Quantum mechanics
Statistics
Physics
Operating system
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.apenergy.2023.122477
- OA Status
- hybrid
- Cited By
- 10
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389985118
All OpenAlex metadata
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https://openalex.org/W4389985118Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.apenergy.2023.122477Digital Object Identifier
- Title
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Modeling and optimal operation of reversible solid oxide cells considering heat recovery and mode switching dynamics in microgridsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-20Full publication date if available
- Authors
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Chunjun Huang, Goran Štrbac, Yi Zong, Shi You, Chresten Træholt, Nigel P. Brandon, Jiawei Wang, Hossein AmeliList of authors in order
- Landing page
-
https://doi.org/10.1016/j.apenergy.2023.122477Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.apenergy.2023.122477Direct OA link when available
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Flexibility (engineering), Microgrid, Computer science, Linearization, Electricity, Process (computing), Process engineering, Mathematical optimization, Nonlinear system, Engineering, Electrical engineering, Control (management), Mathematics, Artificial intelligence, Quantum mechanics, Statistics, Physics, Operating systemTop concepts (fields/topics) attached by OpenAlex
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10Total citation count in OpenAlex
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2025: 5, 2024: 5Per-year citation counts (last 5 years)
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33Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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