Dynamic modelling of reversible solid oxide cells for grid stabilization applications

Motyliński, Konrad; Kupecki, Jakub; Numan, Bart; Hajimolana, Yashar S.; Venkataraman, Vikrant

doi:10.1016/j.enconman.2020.113674

Cited by 38 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the literature, there are different works that have tried to identify dynamics of reversible solid oxide cells but did not focus on control aspects. Motylinski et al [9] presented an rSOC dynamic model to perform grid power balancing, focusing on the compatibility with wind profiles. The authors presented a cell model focused on the energy balance and its adaptation to a reduced electrical model.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling and Thermal Control of a 1.5 kW Reversible Solid Oxide Stack for 24/7 Hydrogen Plants

et al. 2023

View full text Add to dashboard Cite

Solid oxide technology has gained importance due to its higher efficiencies compared to other current hydrogen technologies. The reversible mode allows working with both technologies (SOEC-SOFC), which makes it very attractive for mixed operations, both storage and generation, increasing its usage and therefore the viability of the technology implementation. To improve the performance of reversible stacks, developing adequate control strategies is of great importance. In order to design these strategies, suitable models are needed. These control-oriented models should be simple for an efficient controller design, but also they should include all phenomena that can be affected by the control law. This article introduces a control-oriented modeling of a reversible solid oxide stack (rSOS) for the implementation of control strategies considering thermal and degradation effects. The model is validated with experimental data of a 1.5 kW laboratory prototype, analyzing both polarization curves and dynamic responses to different current profiles and compositions. An error of less than 3% between the model and experimental responses has been obtained, demonstrating the validity of the proposed control-oriented model. The proposed model allows performing new and deeper analysis of the role of reversible solid oxide cells in 24/7 generation plants with renewable energy sources.

show abstract

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling and Thermal Control of a 1.5 kW Reversible Solid Oxide Stack for 24/7 Hydrogen Plants

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Moreover, solid oxide fuel cells (SOFCs), solid oxide electrolysis cells (SOECs), or reversible SOCs (RSOCs) can also be applied as power balancing or independent power supply systems [9]. Such industrial‐scale plants can play an important role in buffering fluctuating and seasonal wind and solar energy [10]. Especially in combination with applications that also require or supply thermal energy, SOCs can develop their full potential [11].…”

Section: Introductionmentioning

confidence: 99%

Electrochemical and microstructural characterization of the high‐entropy perovskite La_0.2Pr_0.2Nd_0.2Sm_0.2Sr_0.2CoO_3‐δ for solid oxide cell air electrodes

Pretschuh,

Egger,

Brunner

et al. 2023

Fuel Cells

View full text Add to dashboard Cite

Strontium segregation (coupled to phase decomposition and impurity poisoning) and electrode delamination are two of the most important degradation mechanisms currently limiting the long‐term stability of solid oxide fuel cell and electrolysis cell (SOFC and SOEC) air electrodes. The present study aims to demonstrate that air electrodes made of entropy‐stabilized multi‐component oxides can mitigate these degradation mechanisms while providing excellent cell performance. A SOEC utilizing La0.2Pr0.2Nd0.2Sm0.2Sr0.2CoO3‐δ (LPNSSC) as an air electrode delivers −1.56 A/cm2 at 1.2 V at 800°C. This performance exceeds that of a commercial cell with La0.6Sr0.4CoO3‐δ (LSC) air electrode, which reaches −1.43 A/cm2. In a long‐term electrolysis test, the LPNSSC cell shows stable performance during 700 h, while the LSC cell degrades continuously. Post‐mortem analyses by scanning electron microscopy‐energy dispersive X‐ray spectroscopy indicate complete delamination of the LSC electrode, while LPNSSC shows excellent adhesion. The amount of secondary phases formed (esp. SrSO4) is also much lower in LPNSSC compared to LSC. In conclusion, the high‐entropy perovskite LPNSSC is a promising option for air electrodes of solid oxide cells. While LPNSSC can compete with ‒ or even outperform ‒ LSC air electrodes in terms of electrochemical performance, it could be particularly advantageous in terms of long‐term stability in SOEC mode.

show abstract

“…It is also a common assumption for an analytical solution of the charge equation, as it reduces exponential terms in the Butler-Volmer model to hyperbolic sine [13,14]. This equation is widely employed in many numerical analyses of solid oxide fuel cells, as confirmed by citations [15,16]. Those values have become so common that some research groups adopt them without supplying a source [17,18], or sources refer to an article that only applies the values, such as in the case of refs.…”

Section: Introductionmentioning

confidence: 99%

A Surrogate Model of the Butler-Volmer Equation for the Prediction of Thermodynamic Losses of Solid Oxide Fuel Cell Electrode

et al. 2023

View full text Add to dashboard Cite

Solid oxide fuel cells are becoming increasingly important in various applications, from households to large-scale power plants. However, these electrochemical energy conversion devices have complex behavior that is difficult to understand and optimize. A numerical simulation is a primary tool for analysis and optimization-design. One of the most significant challenges in this field is improving microscale transport phenomena and electrode reaction models. Two main categories of simulation are black-box and white-box models. The former requires large experimental datasets and lacks physical constraints, while the latter inherits the inaccuracy of typical electrochemical reaction models. Here we show a micro-scale artificial neural network-supported numerical simulation that allows for overcoming those issues. In our research, we substituted one equation in the system, an electrochemical model, with an artificial neural network prediction. The data-driven prediction is constrained and must satisfy all reminded balance equations in the system. The results show that the proposed model can simulate an anode-electrode’s thermodynamic losses with improved accuracy compared with the classical approach. The coefficient of determination R2 for the proposed model was equal to 0.8810 for 800 °C, 0.8720 for 900 °C, and 0.8436 for 1000 °C. The findings open a way for improving the accuracy and computational complexity of electrochemical models in solid oxide fuel cell simulations.

show abstract

Dynamic modelling of reversible solid oxide cells for grid stabilization applications

Cited by 38 publications

References 25 publications

Mathematical Modeling and Thermal Control of a 1.5 kW Reversible Solid Oxide Stack for 24/7 Hydrogen Plants

Mathematical Modeling and Thermal Control of a 1.5 kW Reversible Solid Oxide Stack for 24/7 Hydrogen Plants

Electrochemical and microstructural characterization of the high‐entropy perovskite La_0.2Pr_0.2Nd_0.2Sm_0.2Sr_0.2CoO_3‐δ for solid oxide cell air electrodes

A Surrogate Model of the Butler-Volmer Equation for the Prediction of Thermodynamic Losses of Solid Oxide Fuel Cell Electrode

Contact Info

Product

Resources

About

Dynamic modelling of reversible solid oxide cells for grid stabilization applications

Cited by 38 publications

References 25 publications

Mathematical Modeling and Thermal Control of a 1.5 kW Reversible Solid Oxide Stack for 24/7 Hydrogen Plants

Mathematical Modeling and Thermal Control of a 1.5 kW Reversible Solid Oxide Stack for 24/7 Hydrogen Plants

Electrochemical and microstructural characterization of the high‐entropy perovskite La0.2Pr0.2Nd0.2Sm0.2Sr0.2CoO3‐δ for solid oxide cell air electrodes

A Surrogate Model of the Butler-Volmer Equation for the Prediction of Thermodynamic Losses of Solid Oxide Fuel Cell Electrode

Contact Info

Product

Resources

About

Electrochemical and microstructural characterization of the high‐entropy perovskite La_0.2Pr_0.2Nd_0.2Sm_0.2Sr_0.2CoO_3‐δ for solid oxide cell air electrodes