Multi-variable study/optimization of a novel geothermal-driven poly-generation system: Application of a soft-computing intelligent procedure and MOGWO-Reference-Cited by-同舟云学术

Multi-variable study/optimization of a novel geothermal-driven poly-generation system: Application of a soft-computing intelligent procedure and MOGWO

Published:2023-03 Issue: Volume:171 Page:507-531
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

Haghghi Maghsoud Abdollahi,Mohammadi Zahra,Delpisheh Mostafa^ORCID,Nadimi Ebrahim^ORCID,Athari Hassan

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference74 articles.

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3. Exergoeconomic analysis and multi objective optimization of performance of a Carbon dioxide power cycle driven by geothermal energy with liquefied natural gas as its heat sink;Ahmadi;Energy Convers. Manag.,2016

4. Thermo-economic analysis and multi-objective optimization of a transcritical CO2 power cycle driven by solar energy and LNG cold recovery;Ahmadi;Therm. Sci. Eng. Prog.,2017

5. Theoretical analysis of LiBr/H2O absorption refrigeration systems;Arora;Int. J. Energy Res.,2009

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