Assessment and multi-objective optimization of a vanadium-chlorine thermochemical cycle integrated with algal biomass gasification for hydrogen and power production

Multi-objective optimization of a biomass gasification to generate electricity and desalinated water using Grey Wolf Optimizer and artificial neural network

Chemosphere ◽

10.1016/j.chemosphere.2021.131980 ◽

2021 ◽

pp. 131980

Author(s):

Farayi Musharavati ◽

Alireza Khoshnevisan ◽

Seyed Mojtaba Alirahmi ◽

Pouria Ahmadi ◽

Shoaib Khanmohammadi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Biomass Gasification ◽

Grey Wolf Optimizer ◽

Grey Wolf ◽

Multi Objective ◽

Desalinated Water ◽

Artificial Neural

Multi-objective optimization of a tri-generation system based on biomass gasification/digestion combined with S-CO2 cycle and absorption chiller

Energy Conversion and Management ◽

10.1016/j.enconman.2019.112057 ◽

2019 ◽

Vol 200 ◽

pp. 112057 ◽

Cited By ~ 13

Author(s):

S. Balafkandeh ◽

V. Zare ◽

E. Gholamian

Keyword(s):

Biomass Gasification ◽

Generation System ◽

Absorption Chiller ◽

Multi-objective optimization of sorption enhanced steam biomass gasification with solid oxide fuel cell

Energy Conversion and Management ◽

10.1016/j.enconman.2018.12.047 ◽

2019 ◽

Vol 182 ◽

pp. 412-429 ◽

Cited By ~ 14

Author(s):

Thanaphorn Detchusananard ◽

Shivom Sharma ◽

François Maréchal ◽

Amornchai Arpornwichanop

Keyword(s):

Fuel Cell ◽

Solid Oxide Fuel Cell ◽

Biomass Gasification ◽

Solid Oxide ◽

Oxide Fuel ◽

Conceptual Design, exergoeconomic analysis and multi-objective optimization for a novel Integration of biomass-fueled power plant with MCFC-cryogenic CO2 separation unit for low-carbon power production

Energy ◽

10.1016/j.energy.2021.120511 ◽

2021 ◽

pp. 120511

Author(s):

Ehsan Akrami ◽

Mohammad Ameri ◽

Matteo V. Rocco

Keyword(s):

Power Plant ◽

Conceptual Design ◽

Power Production ◽

Co2 Separation ◽

Low Carbon ◽

Separation Unit ◽

Multi Objective ◽

Exergoeconomic Analysis

Multi-objective optimization of an experimental integrated thermochemical cycle of hydrogen production with an artificial neural network

International Journal of Hydrogen Energy ◽

10.1016/j.ijhydene.2020.06.262 ◽

2020 ◽

Vol 45 (46) ◽

pp. 24355-24369 ◽

Cited By ~ 1

Author(s):

Aida Farsi ◽

Ibrahim Dincer ◽

Greg F. Naterer

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Hydrogen Production ◽

Thermochemical Cycle ◽

Multi Objective ◽

Artificial Neural

Multi-objective Optimization of a Two-Stage Micro-turbine for Combined Heat and Power Production

Sustainable Aviation ◽

10.1007/978-3-319-34181-1_13 ◽

2016 ◽

pp. 143-157 ◽

Cited By ~ 1

Author(s):

Majid AmirAlipour ◽

Shoaib Khanmohammadi ◽

Kazem Atashkari ◽

Ramin KouhiKamali

Keyword(s):

Power Production ◽

Combined Heat And Power ◽

Two Stage ◽

Multi Objective ◽

Micro Turbine

Study on Multi-Objective Optimization Based on Generalized Satisfactory Degree Theory for Transportation Capability of Railway-Network

Traffic And Transportation Studies (2002) ◽

10.1061/40630(255)132 ◽

2002 ◽

Cited By ~ 2

Author(s):

Xin-Sheng Yao ◽

Hong-Zhong Huang ◽

Zhong-Rong Zhou

Keyword(s):

Degree Theory ◽

Railway Network ◽

Multi Objective ◽

Satisfactory Degree

Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization

Informatica ◽

10.15388/informatica.2015.37 ◽

2015 ◽

Vol 26 (1) ◽

pp. 33-50 ◽

Cited By ~ 16

Author(s):

Ernestas Filatovas ◽

Olga Kurasova ◽

Karthik Sindhya

Keyword(s):

Evolutionary Algorithm ◽

Nsga Ii ◽

A Design of a Simple Evolutionary Multi-objective Optimization Method Based on the Combined Use of Scalarization and Particle Swarm Optimization

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.132.42 ◽

2012 ◽

Vol 132 (1) ◽

pp. 42-52

Author(s):

Kazuaki Masuda ◽

Kazuaki Harada ◽

Kenzo Kurihara

Keyword(s):

Particle Swarm Optimization ◽

Particle Swarm ◽

Optimization Method ◽

Swarm Optimization ◽

Multi Objective ◽

Combined Use

Multi-objective Optimization Method for Distribution System Configuration using Pareto Optimal Solution

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.128.1208 ◽

2008 ◽

Vol 128 (10) ◽

pp. 1208-1216 ◽

Cited By ~ 3

Author(s):

Yasuhiro Hayashi ◽

Hirotaka Takano ◽

Junya Matsuki ◽

Yuji Nishikawa

Keyword(s):

Distribution System ◽

Optimal Solution ◽

Optimization Method ◽

Pareto Optimal Solution ◽

Pareto Optimal ◽

System Configuration ◽