Addressing fuel recycling in solid oxide fuel cell systems fed by alternative fuels

Rokni, Masoud

doi:10.1016/j.energy.2017.03.082

Cited by 49 publications

(9 citation statements)

References 34 publications

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“…Another commonly mentioned reason for AOG recirculation is its potential to increase the electrical output of the stack by recirculating unreacted fuel back to the inlet, hence "increasing the overall fuel utilization" (Dietrich et al, 2011;Peters et al, 2013;Engelbracht et al, 2015;Torii et al, 2016). However, there is a trade-off, as recirculating the AOG can also lead to fuel dilution and thus negatively impact the stack performance, depending on the fuel type, system layout, and operating conditions (Lee et al, 2011;Rokni, 2017).…”

Section: Fuel Cells For Co-generationmentioning

confidence: 99%

Techno-Economic Optimization of an Integrated Biomass Waste Gasifier–Solid Oxide Fuel Cell Plant

Pérez–Fortes

Nakajo

et al. 2021

Front. Energy Res.

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With a growing energy demand in a carbon-constrained society, fuels cells powered by renewable fuels, and specifically solid waste, are seen as interesting contributors to the energy portfolio. The alternative energy industry needs to reduce costs, enhance efficiency, and demonstrate durability and reliability to be economically feasible and attractive. This paper addresses biomass waste gasification in distributed energy systems, using a solid oxide fuel cell (SOFC) to produce electricity and heat. The potential and optimal plant efficiency and layout (i.e., anode off-gas (AOG) recirculation point via small-scale turbomachinery and heat exchanger network) are analyzed through a multi-stage approach that includes scenario evaluation and multi-objective optimization via a hybrid optimization strategy with heuristics and mathematical programming. The results in this paper summarize the most convenient operating conditions and provide an optimized heat exchanger network (HEN). The AOG recirculation toward the gasifier combustor is the preferred option; the electrical and thermal efficiencies can separately go up to 49 and 47%, respectively. The combined total efficiency ranges between 76 and 82%, and the area of heat exchange, which corresponds to an amount of heat exchanged between 91 and 117 kW, is within 6–14 m2.

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Section: Fuel Cells For Co-generationmentioning

confidence: 99%

Techno-Economic Optimization of an Integrated Biomass Waste Gasifier–Solid Oxide Fuel Cell Plant

Pérez–Fortes

Nakajo

et al. 2021

Front. Energy Res.

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“…The electrical efficiency of the latter was higher when the output power varied from 1 to 8 kW, but the electrical efficiency of the hydrogen-fueled system would be higher if the output power was between 8 and 10 kW. Rokni (2017) simulated several systems fueled by hydrogen, ammonia, methanol, ethanol and dimethyl ether, suggesting that the plant efficiency is larger on the ethanol fuel and the AOGR rate should be 20% when the system is fed by pure hydrogen and the fuel utilization is 80%.…”

Section: Introductionmentioning

confidence: 96%

“…The SOFC system performance will be greatly affected by different fuels, and the system components, configurations, and performances differ a lot when using different fuels (Rokni 2017). Cinti et al (2019) simulated different mixtures of methane and hydrogen, compared the performances of SOFC-CHP systems with different fuels under the same system structure and working conditions.…”

Section: Introductionmentioning

confidence: 99%

Study on the operating parameters of the 10 kW SOFC-CHP system with syngas

Lyu

Zhu

et al. 2021

Int J Coal Sci Technol

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Solid oxide fuel cell combined with heat and power (SOFC-CHP) system is a distributed power generation system with low pollution and high efficiency. In this paper, a 10 kW SOFC-CHP system model using syngas was built in Aspen plus. Key operating parameters, such as steam to fuel ratio, stack temperature, reformer temperature, air flow rate, and air preheating temperature, were analyzed. Optimization was conducted based on the simulation results. Results suggest that higher steam to fuel ratio is beneficial to the electrical efficiency, but it might decrease the gross system efficiency. Higher stack and reformer temperatures contribute to the electrical efficiency, and the optimal operating temperatures of stack and reformer when considering the stack degradation are 750 °C and 700 °C, respectively. The air preheating temperature barely affects the electrical efficiency but affects the thermal efficiency and the gross system efficiency, the recommended value is around 600 °C under the reference condition.

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“…In particular, fuel cell is among the power generation systems that can deliver environmentally friendly quality energy with great energy conversion efficiency. Furthermore, fuel cell has a great potential in power delivery for stationary and movable applications compared to other storage technologies [3][4][5][6][7]. Other remarkable features of fuel cell over other energy alternatives include lower fuel oxidation temperature and reduced emissions [8].…”

Section: Introductionmentioning

confidence: 99%

Optimal Parameter Estimation Methodology of Solid Oxide Fuel Cell Using Modern Optimization

et al. 2021

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An optimal parameter estimation methodology of solid oxide fuel cell (SOFC) using modern optimization is proposed in this paper. An equilibrium optimizer (EO) has been used to identify the unidentified parameters of the SOFC equivalent circuit with the assistance of experimental results. This is presented via formulating the modeling process as an optimization problem considering the sum mean squared error (SMSE) between the observed and computed voltages as the target. Two modes of the SOFC-based model are investigated under variable operating conditions, namely, the steady-state and the dynamic-state based models. The proposed EO results are compared to those obtained via the Archimedes optimization algorithm (AOA), Heap-based optimizer (HBO), Seagull Optimization Algorithm (SOA), Student Psychology Based Optimization Algorithm (SPBO), Marine predator algorithm (MPA), Manta ray foraging optimization (MRFO), and comprehensive learning dynamic multi-swarm marine predators algorithm. The minimum fitness function at the steady-state model is obtained via the proposed EO with value of 1.5527 × 10−6 at 1173 K. In the dynamic based model, the minimum SMSE is 1.0406. The obtained results confirmed the reliability and superiority of the proposed EO in constructing a reliable model of SOFC.

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Addressing fuel recycling in solid oxide fuel cell systems fed by alternative fuels

Cited by 49 publications

References 34 publications

Techno-Economic Optimization of an Integrated Biomass Waste Gasifier–Solid Oxide Fuel Cell Plant

Techno-Economic Optimization of an Integrated Biomass Waste Gasifier–Solid Oxide Fuel Cell Plant

Study on the operating parameters of the 10 kW SOFC-CHP system with syngas

Optimal Parameter Estimation Methodology of Solid Oxide Fuel Cell Using Modern Optimization

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