A versatile computational tool for model-based design, control and diagnosis of a generic Solid Oxide Fuel Cell Integrated Stack Module

Gallo, Marco; Marra, Dario; Sorrentino, Marco; Pianese, Cesare; Au, Siu Fai

doi:10.1016/j.enconman.2018.06.062

Cited by 27 publications

(7 citation statements)

References 34 publications

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“…According to Table 3, the values of nominal powers and of the hydrogen storage tank size determine the plant cost, while the other costs are obtained from the hypotheses listed in Section 3.1.4. On the other hand, Equation (7) allows obtaining the payback value to be included in the cost function (see Equation (8)). The optimal value yielded on output by the constrained-optimization task interestingly sets to 10.7 years, which increases by 15% if rSOC capital expenditures (CAPEX) costs increase up to 680 € per kW.…”

Section: Presentation and Discussion Of Optimization Resultsmentioning

confidence: 99%

“…The microgrid sizing was carried out via a constrained optimization task, here expressed by Equation (8). The optimization task was implemented and run in the Excel ® spreadsheet environment [38].…”

Section: Constrained Optimization Algorithmmentioning

confidence: 99%

“…With respect to other reversible fuel cell technologies, rSOCs are particularly relevant due to their high round trip efficiency and cogeneration potential [7]. It is possible to use them in the industrial and electronics field and for vehicle propulsion, as well as in stationary generation and distributed combined heat and power [8]. The use of hydrogen allows the achievement of high-energy density storage, as well as guaranteeing supply for industrial processes according to actual needs.…”

Section: Introductionmentioning

confidence: 99%

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Self-Sufficient and Islanded-Oriented Design of a Reversible Solid Oxide Cell-Based Renewable Microgrid

2019

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This article presents the development of a constrained optimization algorithm, whose scope is to support the preliminary design of a renewable microgrid, integrating solar panels and wind turbines with reversible solid oxide cells. The motivations behind this research activity lie in the increasing interest in renewable-based production and on-site storage of hydrogen, and its aim is to help this energy vector spread worldwide and in as many industrial and residential sectors as possible within a reasonably short timeframe. To this end, suitable models were developed by referring to the most relevant literature and by introducing some specific simplifying assumptions. Such an approach allowed the setting-up of a multi-variable constrained optimization task, whose outcomes correspond to the most techno-economic effective plant configuration with respect to assigned design criteria. The optimum solution was particularly sought via the generalized reduced gradient method, aimed at determining renewable plants sizes under the constraint that the final stored hydrogen level is brought back to the initial value after one year. The results highlight that an interesting payback time of about 10 years can be attained, while guaranteeing that the optimal configuration holds promising resiliency and islanded-use capabilities (such as almost weekly self-sufficiency) via smart over-the-year charge-sustaining management of the designed hydrogen storage tank. In this way, it was possible to simultaneously address, via the specific optimization problem formulation, the interconnected needs of optimally designing system components in terms of installed power, and the proper management of the reversible solid oxide cell unit.

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Section: Presentation and Discussion Of Optimization Resultsmentioning

confidence: 99%

Section: Constrained Optimization Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Self-Sufficient and Islanded-Oriented Design of a Reversible Solid Oxide Cell-Based Renewable Microgrid

2019

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“…For instance, a dynamic lumped modeling approach is applied in ref. 295, where an Integrated Systems Module (ISM) is accounted for. The developed module consists of two SOFC stacks enclosed within a hot-box, through which the stack temperature is kept controlled around a defined set-point.…”

Section: System Simulation (Low-level Models) and Multiscale Modelingmentioning

confidence: 99%

Addressing planar solid oxide cell degradation mechanisms: A critical review of selected components

McPhail

Frangini

Laurencin

et al. 2021

Electrochemical Science Adv

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In this review paper, a critical assessment of the main degradation processes in three key components of solid oxide fuel cells and electrolysers (negative and positive electrodes and the interconnect) is undertaken, attempting prioritization of respective degradation effects and recommendation of the best approaches in their experimental ascertainment and numerical modeling.Besides different approaches to quantifying the degradation rate of an operating solid oxide cell (SOC), the latest advancements in microstructural representation (3D imaging and reconstruction) of SOC electrodes are reviewed, applied to the quantification of triple-phase boundary (TPB) lengths and morphology evolution over time. The intrinsic degradation processes in the negative (fuel)This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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“…The model-based design technology, which gradually improved after a decade of development, has been widely accepted. Based on the Embedded Coder toolbox developed by TI and Math Works Company, the model-based design introduces a new approach for control system development, such as in the robotic system, automotive, aerospace, and other fields [13][14][15][16][17]. This approach has adopted the model-based design method.…”

Section: Introductionmentioning

confidence: 99%

Model-Based Design and Experimental Validation of Control System for a Three-Level Inverter

Zhang

2022

Electronics

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Considering the disadvantages of the traditional development pattern in an embedded control system for an inverter, that is, the single-process thinking and separation of software and hardware, a novel method, which is a model-based design, for developing a double closed-loop control system for the diode-clamped three-level inverter was proposed. System control models, including the PWM control algorithm model, the voltage control model, the neutral-point potential balancing model, and the frequency control model, were built with the MATLAB platform. The code-generation capacity and the operation effect were verified through a series of tests. The inverter with diode clamp and neutral-point potential control was developed. Codes were generated automatically and downloaded to the eZdsp28335 control chip. Experimental waveforms of the phase voltage, line voltage and current were analyzed under regulating the voltage and frequency. The experimental results demonstrate that the models and the generated codes are correct. Further studies have proven the feasibility of the system development model.

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A versatile computational tool for model-based design, control and diagnosis of a generic Solid Oxide Fuel Cell Integrated Stack Module

Cited by 27 publications

References 34 publications

Self-Sufficient and Islanded-Oriented Design of a Reversible Solid Oxide Cell-Based Renewable Microgrid

Self-Sufficient and Islanded-Oriented Design of a Reversible Solid Oxide Cell-Based Renewable Microgrid

Addressing planar solid oxide cell degradation mechanisms: A critical review of selected components

Model-Based Design and Experimental Validation of Control System for a Three-Level Inverter

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