Anode-supported intermediate-temperature direct internal reforming solid oxide fuel cell

Aguiar, P.; Adjiman, Claire S.; Brandon, Nigel P.

doi:10.1016/j.jpowsour.2005.01.017

Cited by 280 publications

(219 citation statements)

References 30 publications

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“…Counter flow, air and fuel flowing in opposite directions, with partial internal reformation resulted in the highest thermal gradients within the cell. Similar internal temperature profiles are demonstrated in the work of Aguiar et al for a co-flow SOFC with internal reforming [41]. This analysis demonstrates similar transient modeling capability but considers several additional flow geometries, quasi-3-D spatial resolution and the additional heat transfer pathway between the stack and the air manifolding.…”

Section: Steady State Performance Resultssupporting

confidence: 73%

A spatially resolved physical model for transient system analysis of high temperature fuel cells

McLarty

Brouwer

Samuelsen

2013

International Journal of Hydrogen Energy

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IntroductionThe U.S. Department of Energy has devoted significant effort towards technological breakthroughs for highly efficient low emission electricity production [1e4]. Rising oil prices, the possibility of carbon taxation, and unnerving dependence on foreign energy sources stimulated the federal government's interest in clean energy sources that can meet new greenhouse gas emission targets. Fuel cells promise the dual benefits of high efficiency energy conversion and extremely low pollutant emissions, but adoption of the technology has been limited by high initial capital costs and lack of market acceptance. The challenges include poor economies of scale in manufacturing due to the relatively high materials costs and surface-area scaling characteristics, the complexity of the balance of plant and control systems, a lack of proven system durability, and operations and maintenance costs. Available online at www.sciencedirect.com journal h om epa ge: www.elsev ier.com/locate/he i n t e r n a t i o n a l j o u r n a l o f h y d r o g e n e n e r g y 3 8 ( 2 0 1 3 ) 7 9 3 5 e7 9 4 6

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Section: Steady State Performance Resultssupporting

confidence: 73%

A spatially resolved physical model for transient system analysis of high temperature fuel cells

McLarty

Brouwer

Samuelsen

2013

International Journal of Hydrogen Energy

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“…Aguiar et al [1] discussed the use of PID feedback control in the presence of power load changes. For the case of a proton exchange membrane (PEM) fuel cell, Golbert and Lewin [43,44] used a nonlinear MPC scheme with a target function that attempts to simultaneously track changes in the power setpoint and maximize efficiency.…”

Section: Case Study: Planar Solid Oxide Fuel Cell Systemmentioning

confidence: 99%

Modifier-Adaptation Methodology for Real-Time Optimization

Marchetti

Chachuat

Bonvin

2009

Ind. Eng. Chem. Res.

256

331

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The ability of a model-based real-time optimization (RTO) scheme to converge to the plant optimum relies on the ability of the underlying process model to predict the plant’s necessary conditions of optimality (NCO). These include the values and gradients of the active constraints, as well as the gradient of the cost function. Hence, in the presence of plant−model mismatch or unmeasured disturbances, one could use (estimates of) the plant NCO to track the plant optimum. This paper shows how to formulate a modifed optimization problem that incorporates such information. The so-called modifiers, which express the difference between the measured or estimated plant NCO and those predicted by the model, are added to the constraints and the cost function of the modified optimization problem and are adapted iteratively. Local convergence and model-adequacy issues are analyzed. The modifier-adaptation scheme is tested experimentally via the RTO of a three-tank system.

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“…The upper bound is assumed to be 14, namely the maximum air flow rate which can be supplied without incurring significant additional energy costs (which may be caused by, e.g. using air compression) [21]. The mathematical expression for the air ratio is shown in Eq.…”

Section: Temperature Controlmentioning

confidence: 99%

The Effects of Operating Conditions on the Performance of a Solid Oxide Steam Electrolyser: A Model‐Based Study

et al. 2010

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. The effects of operating conditions on the performance of a solid oxide steam electrolyser: a model-based study. Fuel Cells, Wiley-VCH Verlag, 2010, 10 (6) AbstractTo support the development of hydrogen production by high temperature electrolysis using solid oxide electrolysis cells (SOECs), the effects of operating conditions on the performance of the SOECs were investigated using a one-dimensional model of a cathode-supported planar SOEC stack. Among all the operating parameters, temperature is the most influential factor on the performance of an SOEC, in both cell voltage and operation mode (i.e. endothermic, thermoneutral and exothermic). temperature of the cathode and anode gas streams, solid structure and interconnect (K)

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Anode-supported intermediate-temperature direct internal reforming solid oxide fuel cell

Cited by 280 publications

References 30 publications

A spatially resolved physical model for transient system analysis of high temperature fuel cells

A spatially resolved physical model for transient system analysis of high temperature fuel cells

Modifier-Adaptation Methodology for Real-Time Optimization

The Effects of Operating Conditions on the Performance of a Solid Oxide Steam Electrolyser: A Model‐Based Study

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