Entropy production analysis of a radial inflow turbine with variable inlet guide vane for ORC application

Wang, Zhiqi; Xie, Baoqi; Xia, Xiao-Xia; luo, Lan; Yang, Huya; Li, Xin

doi:10.1016/j.energy.2022.126313

Cited by 13 publications

(3 citation statements)

References 37 publications

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“…There are more than 50 optimized geometric parameters, including the parametric variables of stator and rotor profiles, rotor angle of rotation, circular tilt angle, and axial sweep, as well as the shape parameters of the end wall contours in the stator and rotor domains [10]. The combination of a gas turbine system with an ORC power plant has a positive impact since it raises the parameters of the geothermal brine flowing into the superheater, raising the ORC liquid's evaporation temperature [11]. By examining the impact of various geometric control parameters on turbine performance, it was discovered that some geometric control parameters can be modified to increase turbine performance [12].…”

Section: Literature Review 21 Orc Turbinementioning

confidence: 99%

Evaluation of readiness to commercialize research results with the IRL framework: a case study of ORC turbines in Indonesia

Utomo,

Azka,

Budiwati

et al. 2024

IJPEDS

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Indonesia's commitment to reducing the use of fossil fuels for power generation has encouraged the exploration of biomass energy from waste materials. Organic Rankine cycle (ORC) turbine technology that converts waste into electrical energy can be an opportunity for the development of waste power plants. The developed ORC turbine has not been assessed for innovation readiness level (IRL). To address this gap, a comprehensive evaluation of the IRL and technology readiness level (TRL) of the ORC turbine is essential. This study uses qualitative and quantitative methods, combining the IRL and TRL frameworks. The results reveal that the ORC turbine market is ready, although the technology is still in the early stages of development (IRL 2). In order to achieve IRL 3 and be prepared to enter the decline stage as part of the market evolution phase, intellectual property protection, product testing, and certification must be carried out. The establishment of a product certification agency with testing facilities to ensure turbine performance is required. IRL and TRL approaches can be used to determine the stages of research activities that can be achieved by looking at the availability of resources needed at each level.

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Section: Literature Review 21 Orc Turbinementioning

confidence: 99%

Evaluation of readiness to commercialize research results with the IRL framework: a case study of ORC turbines in Indonesia

Utomo,

Azka,

Budiwati

et al. 2024

IJPEDS

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show abstract

“…Depending on the decomposition of the surface stress tensor, the first term on the right side of Equation ( 9) can be divided into reversible and irreversible parts, as shown in Equation (10). During microfluid deformation, the presence of dynamic viscosity results in irreversibility, and the external shear stress is converted into heat.…”

Section: Entropy Balance Equation and Entropy Production Rate (Epr) F...mentioning

confidence: 99%

“…According to the entropy transport equation, entropy production in turbomachines consists of viscous loss due to the shear strain rate and heat transfer due to the temperature gradient [ 6 , 7 ]. In combination with the computational fluid dynamics (CFD) technique, Kock and Herwig [ 8 ] proposed an entropy production rate model suitable for the flow case solved using the RANS equations, which is currently widely used [ 9 , 10 , 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Numerical Study on Local Entropy Production Mechanism of a Contra-Rotating Fan

Jia,

Zhang

2023

Entropy

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Contra-rotating fans (CRFs) have garnered significant attention due to their higher power-to-weight ratio compared to traditional fans; however, limited focus has been given to the localization and development of local aerodynamic losses. Furthermore, there is a need for further research on the impact of load distribution along the radius on local entropy production. Therefore, this study aims to investigate a contra-rotating fan as the research subject. An optimal design for load distribution along the radius is achieved by constructing a surrogate model in combination with a genetic algorithm. The effectiveness of this design has been verified through experimentation using a specific test device. In this study, a local entropy production rate (EPR) model adapted to the shear stress transport-detached eddy simulation (SST-DES) technique is constructed to evaluate the loss distribution of the contra-rotating fan. This paper primarily focuses on comparing and analyzing the blade profile and overall performance of the CRFs before and after optimization. The EPR contribution of each interval along the radius is compared to the corresponding blade channel to identify the approximate range of high-EPR regions. Furthermore, an investigation is conducted to examine the distribution of EPR along the streamwise direction in these high-EPR regions. After that, by comparing the development of the flow structure near a stall before and after optimization, combined with the analysis of the EPR contours, the EPR mechanism of this CRF is revealed.

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Multi-objective optimization for impeller structure parameters of fuel cell air compressor using linear-based boosting model and reference vector guided evolutionary algorithm

Fu,

Wang,

Sun

et al. 2024

Applied Energy

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Entropy production analysis of a radial inflow turbine with variable inlet guide vane for ORC application

Cited by 13 publications

References 37 publications

Evaluation of readiness to commercialize research results with the IRL framework: a case study of ORC turbines in Indonesia

Evaluation of readiness to commercialize research results with the IRL framework: a case study of ORC turbines in Indonesia

Numerical Study on Local Entropy Production Mechanism of a Contra-Rotating Fan

Multi-objective optimization for impeller structure parameters of fuel cell air compressor using linear-based boosting model and reference vector guided evolutionary algorithm

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