Work

Optimum parameter design for performance of methanol steam reformer combining Taguchi method with artificial neural network and genetic algorithm

Year: 2017

Type: article

Source: Energy

DOI: 10.1016/j.energy.2017.07.067

Authors: Kwan Ouyang, Horng-Wen Wu, Shun-Chieh Huang, Sheng-Ju Wu

Institutions: National Cheng Kung University, National Defense University

Language: English

Topic: Catalysts for Methane Reforming

Subfield: Catalysis

Field: Chemical Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funder: Ministry of Science and Technology, Taiwan

Award: Research, Development and Performance Study of System Integration on Proton Exchange Membrane Fuel Cell and Methanol Steaming Reformer

OpenAlex ID: W2735546558

FWCI: 0.692

Cites: 28

Cited by: 23

Related to: 10