Reliability modeling and assessment of grid-connected PEM fuel cell power plants

Tanrıöven, Muğdeşem; Alam, Mohammad Saad

doi:10.1016/j.jpowsour.2004.10.030

Cited by 16 publications

(14 citation statements)

References 7 publications

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“…Tanrioven and Alam [18] describe the impact of load management control on the reliability of residential standalone fuel cell systems. Reliability evaluation is performed with a component-based state space model that uses fuzzy set theory and expert knowledge.…”

mentioning

confidence: 99%

Experimental results for hybrid energy storage systems coupled to photovoltaic generation in residential applications

Maclay

Brouwer

Samuelsen

2011

International Journal of Hydrogen Energy

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mentioning

confidence: 99%

Experimental results for hybrid energy storage systems coupled to photovoltaic generation in residential applications

Maclay

Brouwer

Samuelsen

2011

International Journal of Hydrogen Energy

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“…The microgrid can work either connected to the utility network or as an isolated system. The Hydrogen Path is composed of three subsystems: the electrolyzer, which is proton exchange membrane (PEM) type [36], for producing hydrogen; a metal-hydride hydrogen storage tank; and finally a PEM fuel cell [37,38] that provides power to the loads/batteries. It is important to notice that both subsystems -electrolyzer and fuel cell-cannot work simultaneously.…”

Section: Case Study Descriptionmentioning

confidence: 99%

On the comparison of stochastic model predictive control strategies applied to a hydrogen-based microgrid

Velarde

Valverde

Maestre

et al. 2017

Journal of Power Sources

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In this paper, a performance comparison among three well-known stochastic model predictive control approaches, namely, multi-scenario, tree-based, and chance-constrained model predictive control is presented. To this end, three predictive controllers have been designed and implemented in a real renewable-hydrogen-based microgrid. The experimental set-up includes a PEM electrolyzer, lead-acid batteries, and a PEM fuel cell as main equipment. The real experimental results show significant differences from the plant components, mainly in terms of use of energy, for each implemented technique. Effectiveness, performance, advantages, and disadvantages of these techniques are extensively discussed and analyzed to give some valid criteria when selecting an appropriate stochastic predictive controller.

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“…The data in ref [23] is used for grid reliability, which are derived by considering past data and expert knowledge. In the reference, the reliability variation is given versus weather temperature.…”

Section: Grid Reliabilitymentioning

confidence: 99%

Smart Fuel Cell Operated Residential Micro-Grid Community

Alam¹,

Mobile²,

Fax:³

2005

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Project Objectives: To build on the work of year one by expanding the smart control algorithm developed to a micro-grid of ten houses; to perform a cost analysis; to evaluate alternate energy sources; to study system reliability; to develop the energy management algorithm, and to perform micro-grid software and hardware simulations.Background: Fuel cells for residential use have a specified power output, normally 5kW that can only be exceeded for short periods of time. However, domestic loads in excess of 5kW are not unusual and the purpose of the smart energy management and control system (SEMaC) is to regulate the demand to the specified output while minimizing occupants' discomfort.

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Reliability modeling and assessment of grid-connected PEM fuel cell power plants

Cited by 16 publications

References 7 publications

Experimental results for hybrid energy storage systems coupled to photovoltaic generation in residential applications

Experimental results for hybrid energy storage systems coupled to photovoltaic generation in residential applications

On the comparison of stochastic model predictive control strategies applied to a hydrogen-based microgrid

Smart Fuel Cell Operated Residential Micro-Grid Community

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