Comparative Study between Regression and Soft Computing Models to Maximize the Methane Storage Capacity of Anthracite-Based Adsorbents

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Comparative Study between Regression and Soft Computing Models to Maximize the Methane Storage Capacity of Anthracite-Based Adsorbents

Adsorbed natural gas (ANG) technology is a safe and low-cost approach for natural gas storage. Improving the volumetric adsorption capacity of adsorbents in the ANG tank can enhance the fuel density and make this technology cost-effective compared to other available CH4 storage approaches. For this...

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Bibliographic Details
Main Authors:	Mirzaei, S., Ahmadpour, A., Shahsavand, A., Rashidi, H., Arami-Niya, Arash
Format:	Journal Article
Language:	English
Published:	AMER CHEMICAL SOC 2020
Subjects:	Science & Technology Technology Engineering, Chemical Engineering METAL-ORGANIC FRAMEWORKS ACTIVATED CARBON NEURAL-NETWORKS SURFACE-AREA BIODIESEL PRODUCTION METHYLENE-BLUE PORE-SIZE OPTIMIZATION ADSORPTION MICROPOROSITY
Online Access:	http://hdl.handle.net/20.500.11937/78452

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