Multiple regression analysis of performance parameters of a binary cycle geothermal power plant

Geothermics ◽  
2015 ◽  
Vol 54 ◽  
pp. 68-75 ◽  
Author(s):  
Murat Karadas ◽  
H. Murat Celik ◽  
Umran Serpen ◽  
Macit Toksoy
Keyword(s):  
Regression Analysis ◽  
Power Plant ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Performance Parameters ◽  
Geothermal Power Plant ◽  
Binary Cycle ◽  
Geothermal Power ◽  
Analysis Of Performance

Thermodynamics study of flash–binary cycle in geothermal power plant

2011 ◽  
Vol 15 (9) ◽  
pp. 5218-5223 ◽  
Author(s):  
Ari Darmawan Pasek ◽  
T.A. Fauzi Soelaiman ◽  
Christian Gunawan
Keyword(s):  
Power Plant ◽  
Geothermal Power Plant ◽  
Binary Cycle ◽  
Geothermal Power

scholarly journals Sensitivity analysis and dynamic modelling of the reinjection process in a binary cycle geothermal power plant of Larderello area

Energy ◽  
2021 ◽  
Vol 214 ◽  
pp. 118869
Author(s):  
Pouriya H. Niknam ◽  
Lorenzo Talluri ◽  
Daniele Fiaschi ◽  
Giampaolo Manfrida
Keyword(s):  
Sensitivity Analysis ◽  
Power Plant ◽  
Dynamic Modelling ◽  
Geothermal Power Plant ◽  
Binary Cycle ◽  
Geothermal Power

scholarly journals An investigation into the differing efficiencies of working fluids used in binary cycle power plants.

2017 ◽  
Vol 4 ◽  
pp. 155-162
Author(s):  
Alec Ian Perry-Cain
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Working Fluids ◽  
Geothermal Power Plant ◽  
Binary Cycle ◽  
Geothermal Power ◽  
R 134A ◽  
Working Parameters

In this paper the efficiency of three common working fluids in binary cycle geothermal power plants were compared by modeling the properties of the fluid within the working parameters of the Dora-II geothermal power plant. It was concluded that ammonia has the highest efficiency of the fluids and R-134a was the least efficient.

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