Multi‐objective optimization of solid oxide fuel cell/gas turbine combined heat and power system: A comparison between particle swarm and genetic algorithms-Reference-Cited by-同舟云学术

Multi‐objective optimization of solid oxide fuel cell/gas turbine combined heat and power system: A comparison between particle swarm and genetic algorithms

Published:2020-06-23 Issue:11 Volume:44 Page:9001-9020
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Safari Sadegh¹,Hajilounezhad Taher²^ORCID,Ehyaei Mehdi Ali³^ORCID

Affiliation:

1. Department of Energy Engineering, Faculty of Natural Resources and Environment, Science and Research BranchIslamic Azad University Tehran Iran

2. Department of Mechanical & Aerospace EngineeringUniversity of Missouri Columbia Missouri USA

3. Department of Mechanical Engineering, Pardis BranchIslamic Azad University Pardis Iran

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.5610

Reference37 articles.

1. Comparison between two optimization strategies for solid oxide fuel cell–gas turbine hybrid cycles

2. Multi-objective optimization of an indirectly integrated solid oxide fuel cell-gas turbine cogeneration system

3. Thermodynamic and economic optimization of SOFC-GT and its cogeneration opportunities using generated syngas from heavy fuel oil gasification

4. Robust Multi-Objective Optimization of Solid Oxide Fuel Cell–Gas Turbine Hybrid Cycle and Uncertainty Analysis

5. The Development and Application of a Novel Optimisation Strategy for Solid Oxide Fuel Cell-Gas Turbine Hybrid Cycles

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