Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of ECOS 2023 - The 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems |
| Pages | 2138-2148 |
| Number of pages | 11 |
| ISBN (electronic) | 978-1-71387-492-8 |
| Publication status | Published - 2023 |
| Event | 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023 - Las Palmas de Gran Canaria, Spain Duration: 25 Jun 2023 → 30 Jun 2023 |
Abstract
Packed beds are essential components for future utility-scale long duration energy storage, such as A-CAES and Carnot batteries, and are expected to operate under a large variety of operating conditions. The operating behaviour can be visualised compactly within Ragone plots, which show the extractable energy over a range of discharge powers. They can additionally demonstrate the effect of different operational limits. Ragone plots are a well-known framework within electrochemical energy storage, but have not been applied to packed bed thermal energy storage. In this work, Ragone plots of packed beds are developed, to quantify off-design behaviour and the energy-power trade-off. For this purpose, a one-dimensional, two-phase, transient, Schumann-style model for a non-pressurized packed bed is implemented in the modelling language Modelica. It is charged up to a nominal thermal energy of 100 MWh and subsequently discharged with two different discharge regimes, namely a constant mass flow discharge or a constant heat tranfer rate discharge. The shape of the obtained Ragone plots is characterised by limited self-discharge and little decline in available energy at high constant mass flow discharges. The enforcement of the mass flow limit and imperfect heat transfer dynamics lead to a residual thermal energy within the storage, which can be extracted at lower heat transfer rates. Analogies to electrochemical energy storage are drawn, where polarisation causes a conceptually similar residual energy.
Keywords
- Energy Storage, Energy-Power relations, Packed Bed, Ragone plots, Thermal Energy Storage
ASJC Scopus subject areas
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Proceedings of ECOS 2023 - The 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems. 2023. p. 2138-2148.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Energy-power relations and Ragone plots for packed bed thermal energy storage
AU - Beyers, Inga
AU - Bensmann, Astrid
AU - Hanke-Rauschenbach, Richard
PY - 2023
Y1 - 2023
N2 - Packed beds are essential components for future utility-scale long duration energy storage, such as A-CAES and Carnot batteries, and are expected to operate under a large variety of operating conditions. The operating behaviour can be visualised compactly within Ragone plots, which show the extractable energy over a range of discharge powers. They can additionally demonstrate the effect of different operational limits. Ragone plots are a well-known framework within electrochemical energy storage, but have not been applied to packed bed thermal energy storage. In this work, Ragone plots of packed beds are developed, to quantify off-design behaviour and the energy-power trade-off. For this purpose, a one-dimensional, two-phase, transient, Schumann-style model for a non-pressurized packed bed is implemented in the modelling language Modelica. It is charged up to a nominal thermal energy of 100 MWh and subsequently discharged with two different discharge regimes, namely a constant mass flow discharge or a constant heat tranfer rate discharge. The shape of the obtained Ragone plots is characterised by limited self-discharge and little decline in available energy at high constant mass flow discharges. The enforcement of the mass flow limit and imperfect heat transfer dynamics lead to a residual thermal energy within the storage, which can be extracted at lower heat transfer rates. Analogies to electrochemical energy storage are drawn, where polarisation causes a conceptually similar residual energy.
AB - Packed beds are essential components for future utility-scale long duration energy storage, such as A-CAES and Carnot batteries, and are expected to operate under a large variety of operating conditions. The operating behaviour can be visualised compactly within Ragone plots, which show the extractable energy over a range of discharge powers. They can additionally demonstrate the effect of different operational limits. Ragone plots are a well-known framework within electrochemical energy storage, but have not been applied to packed bed thermal energy storage. In this work, Ragone plots of packed beds are developed, to quantify off-design behaviour and the energy-power trade-off. For this purpose, a one-dimensional, two-phase, transient, Schumann-style model for a non-pressurized packed bed is implemented in the modelling language Modelica. It is charged up to a nominal thermal energy of 100 MWh and subsequently discharged with two different discharge regimes, namely a constant mass flow discharge or a constant heat tranfer rate discharge. The shape of the obtained Ragone plots is characterised by limited self-discharge and little decline in available energy at high constant mass flow discharges. The enforcement of the mass flow limit and imperfect heat transfer dynamics lead to a residual thermal energy within the storage, which can be extracted at lower heat transfer rates. Analogies to electrochemical energy storage are drawn, where polarisation causes a conceptually similar residual energy.
KW - Energy Storage
KW - Energy-Power relations
KW - Packed Bed
KW - Ragone plots
KW - Thermal Energy Storage
UR - http://www.scopus.com/inward/record.url?scp=85173623935&partnerID=8YFLogxK
U2 - 10.52202/069564-0193
DO - 10.52202/069564-0193
M3 - Conference contribution
AN - SCOPUS:85173623935
SP - 2138
EP - 2148
BT - Proceedings of ECOS 2023 - The 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
T2 - 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023
Y2 - 25 June 2023 through 30 June 2023
ER -