Response surface methodology and artificial neural network-genetic algorithm for modeling and optimization of bioenergy production from biochar-improved anaerobic digestion-Reference-Cited by-同舟云学术

Response surface methodology and artificial neural network-genetic algorithm for modeling and optimization of bioenergy production from biochar-improved anaerobic digestion

Published:2024-02 Issue: Volume:355 Page:122336
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Zhan Yuanhang,Zhu Jun

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

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2. Optimization of the anaerobic digestion process and the metabolic pathway of methanogenesis of Jerusalem artichoke straw with the mixed addition of iron filings and biochar;Industrial Crops and Products;2024-11

3. Thermodynamic analysis of a solar-assisted supercritical water gasification system for poly-generation of hydrogen-heat-power production from waste plastics;Energy;2024-10

4. Predicting Biogas Yield after Microwave Pretreatment Using Artificial Neural Network Models: Performance Evaluation and Method Comparison;ACS ES&T Engineering;2024-09-14

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