Multi-objective optimization of methanol reforming reactor performance based on response surface methodology and multi-objective particle swarm optimization coupling algorithm for on-line hydrogen production-Reference-Cited by-同舟云学术

Multi-objective optimization of methanol reforming reactor performance based on response surface methodology and multi-objective particle swarm optimization coupling algorithm for on-line hydrogen production

Published:2024-05 Issue: Volume:307 Page:118377
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Tang Yuanyou,Long Wuqiang,Wang Yang,Xiao Ge,Wang Yongjian^ORCID,Lu Mingfei

Funder

Ministry of Science and Technology of the People's Republic of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference50 articles.

1. Review on the combustion progress and engine application of tailor-made fuels from biomass;Li;Renew Sustain Energy Rev,2024

2. Comparative study of hybrid architectures integrated with dual-fuel intelligent charge compression ignition engine: a commercial powertrain solution towards carbon neutrality;Zhang;Energ Convers Manage,2023

3. Engine, aftertreatment, fuel quality and non-tailpipe achievements to lower gasoline vehicle PM emissions: literature review and future prospects;Maricq;Sci Total Environ,2023

4. Study of combustion and NO chemical reaction mechanism in ammonia blended with DME;Meng;Fuel,2022

5. Syngas-diesel dual-fuel engine performance using H2/CO top gases from the steel industry furnaces;Ali;Energ Convers Manage,2024

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