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 ◽

Author(s):

S. Balafkandeh ◽

V. Zare ◽

E. Gholamian

Keyword(s):

Biomass Gasification ◽

Multi Objective Optimization ◽

Generation System ◽

Absorption Chiller ◽

Multi Objective

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Multi-objective optimization and exergo-economic assessment of a solar-biomass multi-generation system based on externally-fired gas turbine, steam and organic Rankine cycle, absorption chiller and multi-effect desalination

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2020.115521 ◽

2020 ◽

Vol 179 ◽

pp. 115521

Author(s):

Navid Nazari ◽

Soheil Porkhial

Keyword(s):

Gas Turbine ◽

Organic Rankine Cycle ◽

Economic Assessment ◽

Rankine Cycle ◽

Multi Objective Optimization ◽

Generation System ◽

Absorption Chiller ◽

Multi Objective

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Multi-objective optimization and life cycle assessment of an integrated system combining LiBr/H2O absorption chiller and Kalina cycle

Energy Conversion and Management ◽

10.1016/j.enconman.2020.113448 ◽

2020 ◽

Vol 225 ◽

pp. 113448

Author(s):

Nan Xie ◽

Zhiqiang Liu ◽

Zhengyi Luo ◽

Jingzheng Ren ◽

Chengwei Deng ◽

...

Keyword(s):

Life Cycle Assessment ◽

Integrated System ◽

Multi Objective Optimization ◽

Absorption Chiller ◽

Kalina Cycle ◽

Multi Objective

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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 Optimization ◽

Multi Objective ◽

Desalinated Water ◽

Artificial Neural

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Multi-objective optimization of solar thermal photovoltaic hybrid power generation system based on NSGA-II algorithm

MATEC Web of Conferences ◽

10.1051/matecconf/202133602022 ◽

2021 ◽

Vol 336 ◽

pp. 02022

Author(s):

Liang Meng ◽

Wen Zhou ◽

Yang Li ◽

Zhibin Liu ◽

Yajing Liu

Keyword(s):

Power Generation ◽

Optimization Problems ◽

Optimal Solution ◽

Solar Thermal ◽

Multi Objective Optimization ◽

Generation System ◽

Nsga Ii ◽

Multi Objective ◽

Hybrid Power ◽

Power Generation System

In this paper, NSGA-Ⅱ is used to realize the dual-objective optimization and three-objective optimization of the solar-thermal photovoltaic hybrid power generation system; Compared with the optimal solution set of three-objective optimization, optimization based on technical and economic evaluation indicators belongs to the category of multi-objective optimization. It can be considered that NSGA-Ⅱ is very suitable for multi-objective optimization of solar-thermal photovoltaic hybrid power generation system and other similar multi-objective optimization problems.

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Multi-Objective Optimization Dispatching Strategy for Wind-Thermal-Storage Generation System Incorporating Temporal and Spatial Distribution Control of Air Pollutant Dispersion

IEEE Access ◽

10.1109/access.2020.2978092 ◽

2020 ◽

Vol 8 ◽

pp. 44263-44275 ◽

Author(s):

Zhuohuan Li ◽

Tao Yu ◽

Yixuan Chen ◽

Hanxin Zhu ◽

Weicong Wu

Keyword(s):

Spatial Distribution ◽

Pollutant Dispersion ◽

Thermal Storage ◽

Air Pollutant ◽

Multi Objective Optimization ◽

Generation System ◽

Temporal And Spatial Distribution ◽

Multi Objective ◽

Air Pollutant Dispersion ◽

Temporal And Spatial

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Thermodynamic analysis and multi-objective optimization of a new biomass-driven multi-generation system for zero energy buildings

Energy Systems ◽

10.1007/s12667-020-00379-8 ◽

2020 ◽

Author(s):

Fazel Mohammadikhah ◽

Kourosh Javaherdeh ◽

Javad Mahmoudimehr

Keyword(s):

Thermodynamic Analysis ◽

Multi Objective Optimization ◽

Zero Energy ◽

Generation System ◽

Multi Objective ◽

Zero Energy Buildings

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Multi-objective optimization of the hybrid wind/solar/fuel cell distributed generation system using Hammersley Sequence Sampling

International Journal of Hydrogen Energy ◽

10.1016/j.ijhydene.2017.01.202 ◽

2017 ◽

Vol 42 (12) ◽

pp. 7836-7846 ◽

Author(s):

Hao Chen ◽

Chen Yang ◽

Kangjie Deng ◽

Nana Zhou ◽

Haochuang Wu

Keyword(s):

Fuel Cell ◽

Distributed Generation ◽

Multi Objective Optimization ◽

Generation System ◽

Multi Objective ◽

Hammersley Sequence

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Thermodynamic analysis and multi-objective optimization of a novel power generation system driven by geothermal energy

Energy ◽

10.1016/j.energy.2020.117381 ◽

2020 ◽

Vol 199 ◽

pp. 117381 ◽

Author(s):

Zeting Yu ◽

Ruizhi Su ◽

Chunyu Feng

Keyword(s):

Power Generation ◽

Thermodynamic Analysis ◽

Geothermal Energy ◽

Multi Objective Optimization ◽

Generation System ◽

Multi Objective ◽

Power Generation System

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A comprehensive, multi-objective optimization of solar-powered absorption chiller systems for air-conditioning applications

Energy Conversion and Management ◽

10.1016/j.enconman.2016.11.039 ◽

2017 ◽

Vol 132 ◽

pp. 281-306 ◽

Author(s):

Ali Shirazi ◽

Robert A. Taylor ◽

Graham L. Morrison ◽

Stephen D. White

Keyword(s):

Air Conditioning ◽

Multi Objective Optimization ◽

Absorption Chiller ◽

Multi Objective ◽

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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 ◽

Author(s):

Thanaphorn Detchusananard ◽

Shivom Sharma ◽

François Maréchal ◽

Amornchai Arpornwichanop

Keyword(s):

Fuel Cell ◽

Solid Oxide Fuel Cell ◽

Biomass Gasification ◽

Solid Oxide ◽

Multi Objective Optimization ◽

Multi Objective

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