The development of a hybrid PEMFC power system

Guo, Yifu; Chen, Han-Che; Wang, Fu-Cheng

doi:10.1016/j.ijhydene.2015.01.169

Cited by 44 publications

(19 citation statements)

References 26 publications

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“…(1) When the battery SOC dropped to the lower bound, SOC low , the PEMFC was switched on to provide a default current of 20 A at the highest energy efficiency [41]. (2) When the SOC continuously dropped to SOC low − 5%, the PEMFC current was increased according to the required load until the SOC was raised to SOC low + 5%, where the PEMFC provided a default current of 20 A.…”

Section: The Hybrid Power Modelmentioning

confidence: 99%

Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells

Wang

Lin

2018

Energies

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This paper discusses the performance improvement of a green building by optimization procedures and the influences of load characteristics on optimization. The green building is equipped with a self-sustained hybrid power system consisting of solar cells, wind turbines, batteries, proton exchange membrane fuel cell (PEMFC), electrolyzer, and power electronic devices. We develop a simulation model using the Matlab/SimPowerSystemTM and tune the model parameters based on experimental responses, so that we can predict and analyze system responses without conducting extensive experiments. Three performance indexes are then defined to optimize the design of the hybrid system for three typical load profiles: the household, the laboratory, and the office loads. The results indicate that the total system cost was reduced by 38.9%, 40% and 28.6% for the household, laboratory and office loads, respectively, while the system reliability was improved by 4.89%, 24.42% and 5.08%. That is, the component sizes and power management strategies could greatly improve system cost and reliability, while the performance improvement can be greatly influenced by the characteristics of the load profiles. A safety index is applied to evaluate the sustainability of the hybrid power system under extreme weather conditions. We further discuss two methods for improving the system safety: the use of sub-optimal settings or the additional chemical hydride. Adding 20 kg of NaBH4 can provide 63 kWh and increase system safety by 3.33, 2.10, and 2.90 days for the household, laboratory and office loads, respectively. In future, the proposed method can be applied to explore the potential benefits when constructing customized hybrid power systems.

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Section: The Hybrid Power Modelmentioning

confidence: 99%

Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells

Wang

Lin

2018

Energies

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“…First, setting I fcmax ¼ 40 A results in a lower cost than setting I fcmax ¼ 50 A. This is because the PEMFC efficiency is higher when running at lower loads [14]. Second, setting lower SOC low can also reduce the system costs because the battery is an effective energy buffer and avoids frequent starting of the PEMFC.…”

Section: The Impacts Of Power Management Strategiesmentioning

confidence: 99%

“…2(a): We start the PEMFC when the battery SOC reaches a low bound SOC low , and stop the PEMFC when it rises to the high limit SOC high . We control the PEMFC to provide a default current 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 x x x ( 2 0 1 6 ) 1 e1 2 load of 20 A with the highest energy efficiency, and increase the PEMFC current output when the SOC is continuously decreasing to SOC D ( [14], Fig. 8).…”

Section: Introductionmentioning

confidence: 99%

The development and optimization of customized hybrid power systems

Wang

Chen

2016

International Journal of Hydrogen Energy

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“…Select as function constitutes an important part to the optimization problem, because the choice of different objective functions may completely alter the particles changes. We used the error function for the optimization problem: (13) where tsim is simulation time that objective is calculated from this time. Note that the more value of objective function the more optimized solution.…”

Section: Use Ica Algorithm To Adjust Controller Parametersmentioning

confidence: 99%

Designing a Pid Controller to Control a Fuel Cell Voltage Using the Imperialist Competitive Algorithm

Shamel¹,

Marefati²,

Alayi³

2016

Adv. Sci. Technol. Res. J.

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In this article, an optimized PID controller for a fuel cell is introduced. It should be noted that we did not compute the PID controller's coefficients based on trialand-error method; instead, imperialist competitive algorithms have been considered. At first, the problem will be formulated as an optimization problem and solved by the mentioned algorithm, and optimized results will be obtained for PID coefficients. Then one of the important kinds of fuel cells, called proton exchange membrane fuel cell, is introduced. In order to control the voltage of this fuel cell during the changes in the charges, an optimal controller is introduced, based on the imperialist competitive algorithm. In order to apply this algorithm, the problem is written as an optimization problem which includes objectives and constraints. To achieve the most desirable controller, this algorithm is used for problem solving. Simulations confirm the better performance of proposed PID controller.

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The development of a hybrid PEMFC power system

Cited by 44 publications

References 26 publications

Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells

Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells

The development and optimization of customized hybrid power systems

Designing a Pid Controller to Control a Fuel Cell Voltage Using the Imperialist Competitive Algorithm

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