Multi-objective optimization of parameters affecting Organic Rankine Cycle performance characteristics with Taguchi-Grey Relational Analysis-Reference-Cited by-同舟云学术

Multi-objective optimization of parameters affecting Organic Rankine Cycle performance characteristics with Taguchi-Grey Relational Analysis

Published:2020-01 Issue: Volume:117 Page:109483
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Bademlioglu A.H.,Canbolat A.S.,Kaynakli O.

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference71 articles.

1. Exergy based fluid selection for a geothermal Organic Rankine Cycle for combined heat and power generation;Heberle;Appl Therm Eng,2010

2. Exergetic analysis of various types of geothermal power plants;Yari;Renew Energy,2010

3. A comparative exergoeconomic analysis of different ORC configurations for binary geothermal power plants;Zare;Energy Convers Manag,2015

4. Thermodynamic analysis of the Organic Rankine Cycle and the effect of refrigerant selection on cycle performance;Kaynakli;Int J Energy Appl Technol,2017

5. Effects of evaporator pinch point temperature difference on thermo-economic performance of geothermal organic Rankine cycle systems;Sun;Geothermics,2018

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