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

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

Internet

http://hdl.handle.net/20.500.11937/78452

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