Multiphase simulation and parametric study of direct vapor generation for a solar organic Rankine Cycle

Maytorena, V.M.; Buentello-Montoya, D.A.

doi:10.1016/j.applthermaleng.2022.119096

Cited by 6 publications

(4 citation statements)

References 56 publications

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“…7 shows the increasing mass flow rate of generated steam, generally, when the masses of tested water decrease due to current testing limitations in evaporation tank receiver size and incident solar radiation. This behavior is consistent with the results obtained by Maytorena and Buentello-Montoya [21] in increasing the evaporation rate when the mass rate decreases.…”

Section: Mass Flow Rate Of Generated Steamsupporting

confidence: 93%

“…Gao et al [20] proposed a developed power generation system using solar thermal energy with a mixing room, in which the mixing room temperature has an important role in the thermal efficiency of the system. Maytorena and Buentello-Montoya [21] simulated the ORC integrated with a parabolic trough collector to generate power using Ansys-Fluent software. The results demonstrated that the fluid evaporation rate increases when the mass flow rate decreases, and the evaporation rate of the fluid is directly proportional to the solar radiation increase.…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of Open Steam Power Cycle Powered by Concentrated Solar Energy

Ayad Tareq Mustafa,

Mohammed Mahmood Hadi

2024

Proc. eng. technol. innov.

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This study aims to develop a concentrated solar receiver designed to directly generate steam for driving a steam turbine within the steam power cycle of a carbon-free system. The solar power system consists of parabolic dishes, evaporation tanks, and a steam turbine, and the experimental setup was tested on different days, analyzing the measured parameters with the EES software. Results from the investigation indicate that, under the optimal conditions with a maximum recorded temperature and pressure of 143 ℃ and 2.5 bar, respectively, and a vaporized water mass of 100 grams, the manufactured turbine achieved a maximum isentropic efficiency of 92.48% and a power of 1.76 W. Notably, the evaporation tank and the mini steam turbine demonstrated the capability to generate steam and mechanical power, respectively, without relying on conventional energy.

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Section: Mass Flow Rate Of Generated Steamsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Open Steam Power Cycle Powered by Concentrated Solar Energy

Ayad Tareq Mustafa,

Mohammed Mahmood Hadi

2024

Proc. eng. technol. innov.

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“…V.M. Maytorena et al [24] simulated the heat transfer characteristics of benzene as the working fluid in a DVG-ORC system using PTC. K.E.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation and Working Fluid Screening of Direct Vapor Generation for Solar ORC Using Low-Global Warming Potential (GWP) Working Fluids

Jiang,

Zhang,

Zhang

et al. 2024

Energies

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Traditional working fluids used in direct vapor generation for solar organic Rankine cycle (DVG-ORC) systems have a high global warming potential (GWP), making it imperative to find environmentally friendly alternative working fluids for these systems. This paper evaluates the performance of the DVG-ORC system under different operating conditions. By comparing the results of traditional working fluids with those of low-GWP fluids, the feasibility of using low-GWP fluids as alternative working fluids is explored. Additionally, to screen the working fluids suitable for this system further, the system is optimized with net output power as the objective function. The results show that evaporation temperature has different impacts on system performance. R245ca and R1336mzz(Z) exhibit higher net output power at different evaporation temperatures, with R1336mzz(Z) only reducing it by 3.73–5.26% compared to R245ca. However, an increase in condensation temperature negatively affects system performance, leading to a decrease in net output power and various efficiencies. Net output power increases with an increase in mass flow rate, indicating that higher mass flow rates can enhance system performance. The optimization results show that the net output power of low-GWP working fluid R1336mzz(Z) decreases by only 3.44% compared to R245ca, which achieves the maximum net output power. Moreover, among low-GWP working fluids, R1336mzz(Z) demonstrates the highest ORC efficiency and system efficiency, making it the most suitable working fluid for the DVG-ORC system due to its environmental friendliness and safety.

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“…Recently, energy and environmental issues are becoming more and more serious, and exploiting renewable energy and improving power generation efficiency is an efficient way to reduce greenhouse gas emissions and promote low-carbon development. The utilization technology of medium and low-temperature heat energy in organic Rankine cycle (ORC) with the advantages of high thermal efficiency, environmental friendliness, simple structure and availability of components has received more and more attention, which has been applied in solar power generation [1,2], biomass cogeneration [3][4][5], geothermal power generation [6,7], and industrial waste heat power generation [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

BP (back propagation) neural network-based performance prediction and optimization of a low-grade heat recovery system

Shen,

Cheng,

et al. 2023

Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023)

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The Organic Rankine Cycle (ORC) system with the advantages of high thermal efficiency, environmental friendliness, simple structure and availability of components has been used to recover medium-low grade renewable energy. However, the ORC system involves many operation parameters, and the system performance is the embodiment of the coordinated matching of various parameters. In order to analyse and optimize the low temperature ORC system with the evaporation temperature from 346K to 400K, the ORC performance prediction model using BP (back propagation) neural network has been carried out. The power output of the system has been analysed by combining BP neural network model and genetic algorithm (GA). The results showed that the system power output increases with the increase of the evaporation temperature and mass flow rate, while with the decrease of the condensation temperature and pressure. The maximum power output of the system is 16.3kW, and the corresponding condensation pressure, rotational speed, condensation temperature, mass flow rate and evaporation temperature are 0.1 MPa, 3126 rpm, 290.5 K, 0.4 kg/s and 389.9 K, respectively.

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Multiphase simulation and parametric study of direct vapor generation for a solar organic Rankine Cycle

Cited by 6 publications

References 56 publications

Performance Analysis of Open Steam Power Cycle Powered by Concentrated Solar Energy

Performance Analysis of Open Steam Power Cycle Powered by Concentrated Solar Energy

Performance Evaluation and Working Fluid Screening of Direct Vapor Generation for Solar ORC Using Low-Global Warming Potential (GWP) Working Fluids

BP (back propagation) neural network-based performance prediction and optimization of a low-grade heat recovery system

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