Modeling and preparation of activated carbon for methane storage II. neural network modeling and experimental studies of the activated carbon preparation

Namvar Asl, M ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1016/j.enconman.2008.01.036
  3. Publisher: 2008
  4. Abstract:
  5. This study describes the activated carbon (AC) preparation for methane storage. Due to the need for the introduction of a model, correlating the effective preparation parameters with the characteristic parameters of the activated carbon, a model was developed by neural networks. In a previous study [Namvar-Asl M, Soltanieh M, Rashidi A, Irandoukht A. Modeling and preparation of activated carbon for methane storage: (I) modeling of activated carbon characteristics with neural networks and response surface method. Proceedings of CESEP07, Krakow, Poland; 2007.], the model was designed with the MATLAB toolboxes providing the best response for the correlation of the characteristics parameters and the methane uptake of the activated carbon. Regarding this model, the characteristics of the activated carbon were determined for a target methane uptake. After the determination of the characteristics, the demonstrated model of this work guided us to the selection of the effective AC preparation parameters. According to the modeling results, some samples were prepared and their methane storage capacity was measured. The results were compared with those of a target methane uptake (special amount of methane storage). Among the designed models, one of them illustrated the methane storage capacity of 180 v/v. It was finally found that the neural network modeling for the assay of the efficient AC preparation parameters was financially feasible, with respect to the determined methane storage capacity. This study could be useful for the development of the Adsorbed Natural Gas (ANG) technology. © 2008 Elsevier Ltd. All rights reserved
  6. Keywords:
  7. Artificial intelligence ; Carbon ; Charcoal ; Gas industry ; Image classification ; MATLAB ; Methane ; Neural networks ; Storage (materials) ; Vegetation ; (OTDR) technology ; Activated carbon (AC) ; Activated carbon characteristics ; Adsorbed natural gas (ANG) ; Best response ; Characteristic parameters ; Designed models ; Experimental studies ; MATLAB tool boxes ; Methane storage ; Methane uptake ; Modeling results ; Neural network (NN) models ; Preparation parameters ; Response surface method (RSM) ; Activated carbon
  8. Source: Energy Conversion and Management ; Volume 49, Issue 9 , September , 2008 , Pages 2478-2482 ; 01968904 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0196890408001271