Using machine learning approaches to model and optimize a combined solar/natural gas-based power and freshwater cogeneration system-Reference-Cited by-同舟云学术

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Using machine learning approaches to model and optimize a combined solar/natural gas-based power and freshwater cogeneration system

Published:2023-03 Issue: Volume:333 Page:120607
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Shakibi Hamid,Shokri Afshar,Assareh Ehsanolah,Yari Mortaza,Lee Moonyong

Funder

Yeungnam University

Ministry of Education

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference50 articles.

1. Electrolyzer-fuel cell combination for grid peak load management in a geothermal power plant: Power to hydrogen and hydrogen to power conversion;Alirahmi;Int J Hydrogen Energy,2021

2. Parametric and working fluid analysis of a dual-loop organic Rankine cycle (DORC) used in engine waste heat recovery;Shu;Appl Energy,2014

3. Development and analysis of a new renewable energy-based multi-generation system;Malik;Energy,2015

4. A comparative exergoeconomic analysis of waste heat recovery from a gas turbine-modular helium reactor via organic Rankine cycles;Shokati;Sustainability,2014

5. Thermodynamic performance comparison between ORC and Kalina cycles for multi-stream waste heat recovery;Wang;Energy Convers Manag,2017

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