Optimal design and operation of a photovoltaic–electrolyser system using particle swarm optimisation

Sayedin, Farid; Maroufmashat, Azadeh; Roshandel, Ramin; Khavas, Sourena Sattari

doi:10.1080/14786451.2014.922974

Cited by 36 publications

(27 citation statements)

References 38 publications

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“…The model for the PV device which is considered in this research is an equivalent circuit with a single diode. The double-diode model is rejected regardless of offering a closer representation of the solar cell [24,25]. Fig.…”

Section: Mathematical Modelmentioning

confidence: 98%

“…PEM electrolyzer is a proper device for direct coupling with renewable electrical sources thanks to the high efficiency, ecological cleanliness, and suitable current density even at low temperatures [24]. Water can be decomposed into hydrogen and oxygen by passing electric current between two electrodes, which separated by a solid polymer electrolyte.…”

Section: Pem Electrolyzer Modelmentioning

confidence: 99%

“…The modeling of the PV can be performed by different methods such as numerical and analytical methods. In comparison with numerical methods, analytical methods employ the information of manufacturer that results into a simpler solution [24]. In this type of method, PV can be modeled an equivalent circuit with a single or double diode.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…Equation (5) is derived by substituting I 0 from equation (4) in equation (3). The equation (5) presents I PV as the function of V PV and the manufacturing parameters data, which are available in PV module datasheet [24].…”

Section: Mathematical Modelmentioning

confidence: 99%

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An imperialist competitive algorithm approach for multi-objective optimization of direct coupling photovoltaic-electrolyzer systems

Maroufmashat

Sayedin

Khavas

2014

International Journal of Hydrogen Energy

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Section: Mathematical Modelmentioning

confidence: 98%

Section: Pem Electrolyzer Modelmentioning

confidence: 99%

Section: Mathematical Modelmentioning

confidence: 99%

Section: Mathematical Modelmentioning

confidence: 99%

See 2 more Smart Citations

An imperialist competitive algorithm approach for multi-objective optimization of direct coupling photovoltaic-electrolyzer systems

Maroufmashat

Sayedin

Khavas

2014

International Journal of Hydrogen Energy

Self Cite

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“…ICA and PSO [5][6][7] are evolutionary optimization methods which have shown great performance in the global optimum achievement. In the present work, ICA and PSO are employed to optimize the initial weights of ANN.…”

Section: Introductionmentioning

confidence: 99%

Continuous Prediction of the Gas Dew Point Temperature for the Prevention of the Foaming Phenomenon in Acid Gas Removal Units Using Artificial Intelligence Models

Rohani¹,

Jazayeri-Rad²,

Behbahani³

2017

IJCIS

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Acid gas removal (AGR) units are widely used to remove CO 2 and H 2 S from sour gas streams in natural gas processing. When foaming occurs in an AGR system, the efficiency of the process extremely decreases. In this paper, a novel approach is suggested to regularly predict the gas dew point temperature (GDPT) in order to anticipate the foaming conditions. Prediction of GDPT is advantageous because the conventional methods of measuring GDPT such as: (i) using a chilled mirror device is time consuming; and (ii) the use of gas chromatograph for composition determination combined with the equation-of-state calculations involve column retention time and is expensive. New hybrid modeling algorithms based on the artificial neural network (ANN) combined with either the imperialist competitive algorithm (ICA) or particle swarm optimization (PSO) are employed to model the process. The models can then be used to prevent the foaming phenomenon. The proposed algorithms combine the local searching ability of ANN with the global searching abilities of ICA and PSO. ICA and PSO are used to optimize the initial weights of the neural networks. The resulting ICA-ANN and PSO-ANN combined algorithms are then applied to model the occurrence of foaming in the AGR plant based on a simulation data set acquired from the 6 th refinery of the south Pars gas complex in Iran. The performances of the ICA-ANN, PSO-ANN and conventional ANN models are then compared against each other. It was found that the accuracies of the ICA-ANN and PSO-ANN models are better than that of the conventional ANN model. In addition, the PSO-ANN model outperformed the ICA-ANN model.

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Scalable Photovoltaic‐Electrochemical Cells for Hydrogen Production from Water ‐ Recent Advances

et al. 2022

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Hydrogen is regarded as a very important pillar for the future energy supply because it is readily available from water and can be used for environmentally friendly electricity generation. Hydrogen can be produced in various ways. Water splitting powered by renewable resources (e. g., solar, wind, etc.) can be an ideal way of hydrogen generation in the future since this approach can achieve true net-zero carbon dioxide emissions. This review article is aimed at giving an overview of the state-of-the-art hydrogen generation driven by photovoltaics (PVs) on a relatively large-scale (with PV area > 50 cm 2 ). The basic knowledge/principle of (PV-driven) water splitting is introduced in the beginning part. Then, different types of PV-driven water splitting devices and the recent advances in scalable PVelectrochemical water splitting devices are intensively reviewed in the middle part. Finally, cost predictions and challenges that need to be addressed are presented at the end of this article.

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Optimal design and operation of a photovoltaic–electrolyser system using particle swarm optimisation

Cited by 36 publications

References 38 publications

An imperialist competitive algorithm approach for multi-objective optimization of direct coupling photovoltaic-electrolyzer systems

An imperialist competitive algorithm approach for multi-objective optimization of direct coupling photovoltaic-electrolyzer systems

Continuous Prediction of the Gas Dew Point Temperature for the Prevention of the Foaming Phenomenon in Acid Gas Removal Units Using Artificial Intelligence Models

Scalable Photovoltaic‐Electrochemical Cells for Hydrogen Production from Water ‐ Recent Advances

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