The optimal evaporation temperature and working fluids for subcritical organic Rankine cycle

He, Chao; Liu, Chao; Hong, Guang; Xie, Hui; Li, You–Rong; Wu, Shuang–Ying; Xu, Jinliang

doi:10.1016/j.energy.2011.12.022

Cited by 257 publications

(80 citation statements)

References 34 publications

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“…The analytical OET results had an accuracy of 2.3%, compared to the numerical OET [21]. The design pinch-point was 5 K for both the evaporator and recuperator.…”

Section: Component Sizing For Normal-design: Thermodynamic Optimizationmentioning

confidence: 85%

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Thermal-Economic Modularization of Small, Organic Rankine Cycle Power Plants for Mid-Enthalpy Geothermal Fields

2014

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Abstract:The costs of the surface infrastructure in mid-enthalpy geothermal power systems, especially in remote areas, could be reduced by using small, modular Organic Rankine Cycle (ORC) power plants. Thermal-economic criteria have been devised to standardize ORC plant dimensions for such applications. We designed a modular ORC to utilize various wellhead temperatures (120-170 °C), mass flow rates and ambient temperatures (−10-40 °C). A control strategy was developed using steady-state optimization, in order to maximize net power production at off-design conditions. Optimum component sizes were determined using specific investment cost (SIC) minimization and mean cashflow (MCF) maximization for three different climate scenarios. Minimizing SIC did not yield significant benefits, but MCF proved to be a much better optimization function.

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“…The analytical OET results had an accuracy of 2.3%, compared to the numerical OET [21]. The design pinch-point was 5 K for both the evaporator and recuperator.…”

Section: Component Sizing For Normal-design: Thermodynamic Optimizationmentioning

confidence: 85%

“…Isobutane can be categorized as a dry fluid (i.e., negative slope of saturated vapor line); hence, at design condition, saturated vapor is the best turbine inlet parameter [21]. The optimal evaporation temperature (OET) as normal (design) evaporation temperature is obtained by solving:…”

Section: Component Sizing For Normal-design: Thermodynamic Optimizationmentioning

confidence: 99%

Thermal-Economic Modularization of Small, Organic Rankine Cycle Power Plants for Mid-Enthalpy Geothermal Fields

2014

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“…The characteristics of a thermal energy source affects the optimal choice of working fluid (WF) for an ORC (e.g. [10][11][12][13][14][15][16][17][18][19][20]). Different objective functions have been used for WF selection, such as the ratio of net power output to heat exchanger area (Ẇ net /A) [10], net power output (Ẇ net ) [14,19,21,22] and first or second law efficiencies [7, 11-13, 16-18, 20].…”

Section: Introductionmentioning

confidence: 99%

Modeling and optimization of a binary geothermal power plant

Ghasemi

Paci

Tizzanini

et al. 2013

Energy

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6A model is developed for an existing organic Rankine cycle (ORC) utilizing a low temperature geothermal source. The model is implemented in Aspen Plus ® and used to simulate the performance of the existing ORC equipped with an air-cooled condensation system. The model includes all the actual characteristics of the components. The model is validated by approximately 5000 measured data in a wide range of ambient temperatures. The net power output of the system is maximized. The results suggest different optimal operation strategies based on the ambient temperature. Existing literature claims that no superheat is optimal for maximum performance of the system; this is confirmed only for low ambient temperatures. For moderate ambient temperatures (T amb ≥ 1.7 ) superheat maximizes net power output of the system. The value of the optimal superheat increases with increasing ambient temperature.The optimal operation boosts the total power produced in a year by 9%. In addition, a simpler and semi-analytic model is developed that enables very quick optimization of the operation of the cycle. Based on the pinch condition at the condenser, a simple explicit formula is derived that predicts the outlet pressure of the turbine as a function of mass flow rate of working fluid.

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“…Note that is the same definition as already used by other authors [13,27]. The properties of the working fluids play a vital role in the cycle performance.…”

Section: Organic Rankine Cyclementioning

confidence: 74%

Self-Powered Desalination of Geothermal Saline Groundwater: Technical Feasibility

Davies

Orfi

2014

Water

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This theoretical study shows the technical feasibility of self-powered geothermal desalination of groundwater sources at <100 °C. A general method and framework are developed and then applied to specific case studies. First, the analysis considers an ideal limit to performance based on exergy analysis using generalised idealised assumptions. This thermodynamic limit applies to any type of process technology. Then, the analysis focuses specifically on the Organic Rankine Cycle (ORC) driving Reverse Osmosis (RO), as these are among the most mature and efficient applicable technologies. Important dimensionless parameters are calculated for the ideal case of the self-powered arrangement and semi-ideal case where only essential losses dependent on the RO system configuration are considered. These parameters are used to compare the performance of desalination systems using ORC-RO under ideal, semi-ideal and real assumptions for four case studies relating to geothermal sources located in India, Saudi Arabia, Tunisia and Turkey. The overall system recovery ratio (the key performance measure for the self-powered process) depends strongly on the geothermal source temperature. It can be as high as 91.5% for a hot spring emerging at 96 °C with a salinity of 1830 mg/kg. OPEN ACCESSWater 2014, 6 3410

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The optimal evaporation temperature and working fluids for subcritical organic Rankine cycle

Cited by 257 publications

References 34 publications

Thermal-Economic Modularization of Small, Organic Rankine Cycle Power Plants for Mid-Enthalpy Geothermal Fields

Thermal-Economic Modularization of Small, Organic Rankine Cycle Power Plants for Mid-Enthalpy Geothermal Fields

Modeling and optimization of a binary geothermal power plant

Self-Powered Desalination of Geothermal Saline Groundwater: Technical Feasibility

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