A novel multi-objective spiral optimization algorithm for an innovative solar/biomass-based multi-generation energy system: 3E analyses, and optimization algorithms comparison-Reference-Cited by-同舟云学术

A novel multi-objective spiral optimization algorithm for an innovative solar/biomass-based multi-generation energy system: 3E analyses, and optimization algorithms comparison

Published:2020-09 Issue: Volume:219 Page:112961
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Cao Yan,Nikafshan Rad Hima,Hamedi Jamali Danial,Hashemian Nasim,Ghasemi Amir^ORCID

Publisher

Elsevier BV

Subject

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

Reference69 articles.

1. Renewable-energy-based multigeneration systems;Dincer;Int J Energy Res,2012

2. Exergy analysis of an integrated solid oxide fuel cell and organic Rankine cycle for cooling, heating and power production;Al-Sulaiman;J Power Sources,2010

3. Design and optimization of stand-alone triple combined cycle systems using calcium looping technology;Wu;J Clean Prod,2017

4. Multi-objective optimization of a combined cycle using exergetic and exergoeconomic approaches;Bahlouli;Energy Convers Manag,2018

5. Thermodynamic analyses of biomass gasification integrated externally fired, post-firing and dual-fuel combined cycles;Soltani;Sustain,2015

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