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Binary Rankine Cycle Optimization

Authors: Kurevija, Tomislav; Koščak Kolin, Sonja; Golub, Miroslav;

Binary Rankine Cycle Optimization

Abstract

Geopressured geothermal fluids at Croatian reservoirs contain energy in three different forms such as: dissolved gases and minerals, high pressure and relatively high temperatures. Natural gas must be separated for the optimal utilization efficiency, which simultaneously maximizes the conversion process due to the wellhead temperature. Binary Rankine cycle uses a secondary working liquid, because the temperatures of the most geothermal fluids are usually too low to be used directly. However, behavior of representative secondary fluids is strongly dependent on characteristics of the geothermal fluid. Superheating degree in secondary cycle could be correlated to the molecular properties of each working fluid which is determined by the geothermal wellhead temperatures. Optimization of the geothermal energy production process includes minimization of all energy losses from the reservoir conditions to the end user. As the huge amount of the available field energy is mostly spent in the borehole and in the surface equipment, process optimization requires scientifically-research access, based upon the physical-chemical conditions of flow and on construction of production equipment.

Country
Croatia
Keywords

power generation, geothermal energy, thermodynamic efficiency, geothermal energy; thermodynamic efficiency; power generation

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green