An integrated natural gas power cycle using hydrogen and carbon fuel cells

Zhuang, Qixin; Geddis, Philip; Runstedtler, Allan; Clements, Bruce

doi:10.1016/j.fuel.2017.07.080

Cited by 15 publications

(2 citation statements)

References 23 publications

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“…The high operating temperature of SOFCs (700 to 900 °C) has serious demerits in terms of overall performance and durability [6]. On the other hand, the electrochemical character of their operation delivers high efficiency and a lack of exergy waste on intermediate energy conversions and can be coupled with other energy systems [7][8][9][10] or even very exotic solutions [11]. High temperature fuel cells are becoming an alternative to other energy systems [12].…”

Section: Introductionmentioning

confidence: 99%

Key Parameters of Proton‐conducting Solid Oxide Fuel Cells from the Perspective of Coherence with Models

et al. 2020

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The paper presents a review of thermal, flow, and material parameters from the perspective of modeling proton‐conducting solid oxide fuel cells (H+SOFC). Comments are offered regarding key parameters selected through research of the literature, featuring mostly material‐related properties of electrolyte and electrodes. Some general relationships are proposed here for the purpose of modeling H+SOFC. The most important parameter is fuel cell operational temperature. Next to the temperature, partial pressures of hydrogen on both sides of H+SOFC impact mainly maximum voltage. The materials from which the fuel cell is built do not directly affect the operation of the fuel cell in the sense that they can be taken as fixed values. Indirectly, their influence can be seen in the resistances, that electrolyte conducts for proton flux and electrodes for electrons. In some cases, double ion/electron conductivity may occur.

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Section: Introductionmentioning

confidence: 99%

Key Parameters of Proton‐conducting Solid Oxide Fuel Cells from the Perspective of Coherence with Models

et al. 2020

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“…But resulting Methane SNG is compatible with the natural gas network, which means that it can be stored and transported using the existing infrastructure and without additional modifications to the end user appliances. Its combustion does not increase the 2 CO emissions when it is produced from the same amount of 2 CO [5,6,26].…”

Section: Introductionmentioning

confidence: 99%

Techno Economic Assessment of Hybrid Renewable Energy Systems Based on Power to Hydrogen and Methane Gas Concepts

Boubenia¹,

Hafaifa²,

Kouzou³

et al. 2018

Preprint

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This paper deals with the techno-economic study of the hybrid renewable energy system based on energy storage aspect under the form of hydrogen and methane. Indeed, with the intermittency of the renewable energy sources such as photovoltaic and wind energy, several problems of produced energy injection to the power system network can be encountered due to the shortage or the excess of these sources. This situation appeals the use of systems that ensure the stability of network based on the storage of energy surplus into gas using electrolyzer systems, which will be used afterward to cover the eventual shortage. In the present paper, the study of performance of each pathway of methane and hydrogen storage has been performed by the treatment of multiple scenarios via different architecture case studies in an Algerian location. Whereas, the energy produced by the photovoltaic system, the wind energy and the gas micro turbine sources are considered similar in each case. The modeling and simulation of the studied system operation under optimization criteria has been performed in this work, where the main aim is to define the appropriate configuration taking into account the different with low costs of investment, maintenance operation and immediate reactivity with a big storage capacity.

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Hydrogen Production from Natural Gas Using Hot Blast Furnace Slag: Techno-economic Analysis and CFD Modeling

Runstedtler,

Gao

2024

J. Sustain. Metall.

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A process for thermal decomposition of methane to hydrogen and solid carbon is presented and examined. It utilizes the high-temperature heat from the slag by-product of blast furnace ironmaking to drive a thermal decomposition reaction, making it a waste-heat-to-hydrogen technology. This is accomplished via dry granulation of molten slag that feeds a fluidized bed reactor to effect methane–slag contact. First, the proposed process and the heat and mass balances are presented. It is found that it could produce an amount of hydrogen that is equivalent to about 20% of the reductant, depending on the iron-to-slag ratio. Then, a techno-economic analysis investigates the capital and operating costs of the process, compares the hydrogen production cost to that of other processes, and examines cost sensitivity to the prices of process inputs and outputs. This analysis suggests that the process would be suitable for on-site hydrogen production and use within a plant. In addition, using the hot slag to drive the methane decomposition would reduce hydrogen production cost by 15% compared to combusting a portion of the natural gas itself. Finally, a computational fluid dynamics (CFD) modeling study of the fluidized bed reactor examines the thermal decomposition of methane and its dependence on reaction kinetics as well as reactor design and operation. The bed operated in the bubbling regime at an average temperature between 1020 and 1060 °C and resulted in as high as 82% conversion of the methane to hydrogen, with additional optimization still possible. Graphical Abstract

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An integrated natural gas power cycle using hydrogen and carbon fuel cells

Cited by 15 publications

References 23 publications

Key Parameters of Proton‐conducting Solid Oxide Fuel Cells from the Perspective of Coherence with Models

Key Parameters of Proton‐conducting Solid Oxide Fuel Cells from the Perspective of Coherence with Models

Techno Economic Assessment of Hybrid Renewable Energy Systems Based on Power to Hydrogen and Methane Gas Concepts

Hydrogen Production from Natural Gas Using Hot Blast Furnace Slag: Techno-economic Analysis and CFD Modeling

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