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Dr. Pouriya H Niknam
Postdoc

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Research Keywords & Expertise

0 Optimisation
0 Oil and Gas
0 Thermal energy storage (TES)
0 Renewable and green energy
0 Process Model

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Journal article
Published: 06 May 2021 in Energies
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A comprehensive cost correlation analysis was conducted based on available cost correlations, and new equipment cost correlation models were proposed based on QUE$TOR modeling. Cost correlations for various types of equipment such as pumps, compressors, heat exchangers, air coolers, and pressure vessels were generated on the basis of extracted cost data. The models were derived on the basis of robust multivariable regression with the aim of minimizing the residuals by using the genetic algorithm. The proposed compressor models for both centrifugal and reciprocating types showed that the Turton cost estimation for carbon steel compressor and Matche’s and Mhhe’s data were compatible with the generated model. According to the results, the cost trend in the Turton correlation for carbon steel had a somewhat lower estimation than these correlations. Further, the cost trend of the Turton correlation for carbon steel pressure vessels was close to the presented model trend for both bullet and sphere types. The Turton cost trend for U-tube shell-and-tube heat exchangers with carbon steel shell and stainless steel tube was close to the proposed heat exchanger model. Furthermore, the Turton cost trend for the flat-plate heat exchanger using carbon steel was similar to the proposed model with a slight difference.

ACS Style

Moein Shamoushaki; Pouriya Niknam; Lorenzo Talluri; Giampaolo Manfrida; Daniele Fiaschi. Development of Cost Correlations for the Economic Assessment of Power Plant Equipment. Energies 2021, 14, 2665 .

AMA Style

Moein Shamoushaki, Pouriya Niknam, Lorenzo Talluri, Giampaolo Manfrida, Daniele Fiaschi. Development of Cost Correlations for the Economic Assessment of Power Plant Equipment. Energies. 2021; 14 (9):2665.

Chicago/Turabian Style

Moein Shamoushaki; Pouriya Niknam; Lorenzo Talluri; Giampaolo Manfrida; Daniele Fiaschi. 2021. "Development of Cost Correlations for the Economic Assessment of Power Plant Equipment." Energies 14, no. 9: 2665.

Journal article
Published: 05 June 2020 in Energies
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Geothermal energy is acknowledged globally as a renewable resource, which, unlike solar, wind or wave energy, can be continuously exploited. The geothermal fluids usually have some acid gas content, which needs to be precisely taken into account when predicting the actual potential of a power plant in dealing with an effective reinjection. One of the key parameters to assess is the solubility of the acid gas, as it influences the thermodynamic conditions (saturation pressure and temperature) of the fluid. Therefore, an enhanced solubility model for the CO2-H2S-water system is developed in this study, based on the mutual solubility of gases. The model covers a wide range of pressures and temperatures. The genetic algorithm is employed to calculate the correlation constants and corresponding solubility values of both CO2 and H2S as functions of pressure, temperature and the balance of the gas. The results are validated against previously published models and experimental data available in the literature. The proposed model estimates the pure gas solubility, which is also a feature of other models. The more innovative feature of the model is the solubility estimation of each CO2 or H2S in simultaneous presence, such as when the binary gas is injected into the pure water of the geothermal reinjection well. The proposed solubility model fits well with the available experimental data, with a mean deviation lower than 0.2%.

ACS Style

Pouriya H. Niknam; Lorenzo Talluri; Daniele Fiaschi; Giampaolo Manfrida. Improved Solubility Model for Pure Gas and Binary Mixture of CO2-H2S in Water: A Geothermal Case Study with Total Reinjection. Energies 2020, 13, 2883 .

AMA Style

Pouriya H. Niknam, Lorenzo Talluri, Daniele Fiaschi, Giampaolo Manfrida. Improved Solubility Model for Pure Gas and Binary Mixture of CO2-H2S in Water: A Geothermal Case Study with Total Reinjection. Energies. 2020; 13 (11):2883.

Chicago/Turabian Style

Pouriya H. Niknam; Lorenzo Talluri; Daniele Fiaschi; Giampaolo Manfrida. 2020. "Improved Solubility Model for Pure Gas and Binary Mixture of CO2-H2S in Water: A Geothermal Case Study with Total Reinjection." Energies 13, no. 11: 2883.

Journal article
Published: 05 June 2020 in Geothermics
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ACS Style

Pouriya H. Niknam; Lorenzo Talluri; Daniele Fiaschi; Giampaolo Manfrida. Gas purification process in a geothermal power plant with total reinjection designed for the Larderello area. Geothermics 2020, 88, 1 .

AMA Style

Pouriya H. Niknam, Lorenzo Talluri, Daniele Fiaschi, Giampaolo Manfrida. Gas purification process in a geothermal power plant with total reinjection designed for the Larderello area. Geothermics. 2020; 88 ():1.

Chicago/Turabian Style

Pouriya H. Niknam; Lorenzo Talluri; Daniele Fiaschi; Giampaolo Manfrida. 2020. "Gas purification process in a geothermal power plant with total reinjection designed for the Larderello area." Geothermics 88, no. : 1.

Research article
Published: 03 November 2019 in Asia-Pacific Journal of Chemical Engineering
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This paper presents research on the supersonic nozzle geometry with particular emphasis on the effect of the internal body of the nozzle that largely affects the separation efficiency. A numerical investigation of the supersonic nozzle with an internal solid body, which forms an annular flow inside the convergent–divergent nozzle is carried out. The present study revealed different hydrodynamic behaviors of the nozzle, exploring different shapes of the inner body, and the computational fluid dynamic simulations of the supersonic nozzle is utilized to find out the best geometrical design. Utilizing a coupled pressure–velocity scheme with high order of discretization of the governing equation yielded to find the shockwave positions in different conditions. The turbulent behavior of the fluid in the shockwave zone is well discussed and the phase‐change phenomena for the natural gas application are studied considering both water condensation and hydrocarbon condensation simultaneously. Different nozzle configuration elucidates the physical mechanisms of the supersonic flow inside the nozzle. Shockwave position, swirling velocity stability, and mass flow capacity are investigated. The lower the inner body radius, the less the change of shockwave position in the gas is found. Also, the higher stability of swirling velocity magnitude is found for the convergent–divergent inner body, which brings enhanced physical phase separation.

ACS Style

Pouriya H. Niknam; Daniele Fiaschi; Hamid Reza Mortaheb; Babak Mokhtarani. Numerical investigation of multiphase flow in supersonic separator considering inner body effect. Asia-Pacific Journal of Chemical Engineering 2019, 14, 1 .

AMA Style

Pouriya H. Niknam, Daniele Fiaschi, Hamid Reza Mortaheb, Babak Mokhtarani. Numerical investigation of multiphase flow in supersonic separator considering inner body effect. Asia-Pacific Journal of Chemical Engineering. 2019; 14 (6):1.

Chicago/Turabian Style

Pouriya H. Niknam; Daniele Fiaschi; Hamid Reza Mortaheb; Babak Mokhtarani. 2019. "Numerical investigation of multiphase flow in supersonic separator considering inner body effect." Asia-Pacific Journal of Chemical Engineering 14, no. 6: 1.

Journal article
Published: 07 February 2019 in Energy
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Tesla expander is a bladeless turbine suited to low power range applications. In this article, a comparison between the performance prediction, as well as the assessment of the main flow characteristics, of a Tesla turbine working with organic fluids obtained through an in-house 2D code developed in EES environment and a simulation run with a computational fluid dynamics commercial software was done. Three working fluids (R404a, R134a and R245fa) were analysed in order to determine the related performance parameters. Various computations were carried out at several speeds of revolution, both with the laminar model and the Langtry-Menter transitional shear stress transport model for turbulence processing. High rotor efficiency was predicted for a small-scale prototype working with all analysed fluids (69% at 3000 rpm). The results obtained by the CFD simulations and by the in-house code showed an excellent matching. Finally, absolute and relative flow path lines were computed in order to determine fluid dynamics inside the channel and to analyse the fundamental flow phenomena.

ACS Style

L. Ciappi; D. Fiaschi; P.H. Niknam; L. Talluri. Computational investigation of the flow inside a Tesla turbine rotor. Energy 2019, 173, 207 -217.

AMA Style

L. Ciappi, D. Fiaschi, P.H. Niknam, L. Talluri. Computational investigation of the flow inside a Tesla turbine rotor. Energy. 2019; 173 ():207-217.

Chicago/Turabian Style

L. Ciappi; D. Fiaschi; P.H. Niknam; L. Talluri. 2019. "Computational investigation of the flow inside a Tesla turbine rotor." Energy 173, no. : 207-217.

Journal article
Published: 01 April 2018 in Journal of Natural Gas Science and Engineering
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Supersonic nozzles are recently applied for carrying out water separation from natural gas streams and dew pointing in early stages of gas processing. This paper represents an experimentally and numerically study on a novel low-pressure two-phase driven supersonic nozzle constructed based on a new annular design. The nozzle includes a set of tilted fixed blades at the entrance and a swirling stabilizer along with a convergence-divergence nozzle. The liquid phase is separated from the primary gas phase by decompression and compression happening accompanied with the centrifugal effect induced by the swirling of the gas stream. The phase change happens by gradual drops in temperature and pressure upstream of the shockwave position, and an abrupt change at the shockwave position followed by a subsequent gradual increase in temperature and pressure. The pressure, temperature, and moisture level of the gas are measured to investigate the performance of the supersonic separation unit. The computation is carried out by a 2D approach capable of two-phase heat and mass transfer modeling. For the first time, the analysis uses high order of discretization schemes in order to well capture the shockwaves in a low-pressure supersonic nozzle and find out their effects on separation. An assessment is carried out focusing on the effect of operational conditions on the nozzle performance. The experimental data for dehydration efficiencies are in good agreement with the simulation results within 3%. The shockwave position is found in the range of 0.3–0.5 of non-dimensional nozzle length. The positions of both shockwave and initiation of condensation are shifted toward the exit side when the nozzle pressure ratio decreases. Reducing the pressure ratio from 0.8 to 0.6 will enhance the dehydration efficiency by about 5%.

ACS Style

Pouriya H. Niknam; H.R. Mortaheb; B. Mokhtarani. Dehydration of low-pressure gas using supersonic separation: Experimental investigation and CFD analysis. Journal of Natural Gas Science and Engineering 2018, 52, 202 -214.

AMA Style

Pouriya H. Niknam, H.R. Mortaheb, B. Mokhtarani. Dehydration of low-pressure gas using supersonic separation: Experimental investigation and CFD analysis. Journal of Natural Gas Science and Engineering. 2018; 52 ():202-214.

Chicago/Turabian Style

Pouriya H. Niknam; H.R. Mortaheb; B. Mokhtarani. 2018. "Dehydration of low-pressure gas using supersonic separation: Experimental investigation and CFD analysis." Journal of Natural Gas Science and Engineering 52, no. : 202-214.

Article
Published: 21 February 2018 in Asia-Pacific Journal of Chemical Engineering
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A deep analysis on the hydrodynamics of convergent–divergent nozzles is performed by changing the working conditions and fluid type. The nozzle geometry lowers the temperature of the flowing fluid, which contributes to condensation and phase change. The focus of this paper is to evaluate the nozzle performance and cooling capacity in terms of temperature, pressure, and gas type in a fixed geometry of Sajben Laval nozzle. The analysis has been conducted via a 2-dimensional turbulent computational fluid dynamics simulation for illustrating the behavior of the fluid. A criterion for the nozzle performance is provided by prediction of exact shock wave position. An investigation on 6 different gas types demonstrates that heat capacity and thermal conductivity are the most rolling fluid properties of the nozzle performance. Furthermore, it is found that the shock wave position is unchanged during alteration of fluid type or pressure scale. A new model is provided for prediction of convergent–divergent nozzle performance in the supersonic conditions for dehydration of natural gas as a well-known industrial application of the nozzles. The model is developed by the genetic algorithm as a multivariable optimization method.

ACS Style

Pouriya H. Niknam; H.R. Mortaheb; B. Mokhtarani. Effects of fluid type and pressure order on performance of convergent-divergent nozzles: An efficiency model for supersonic separation. Asia-Pacific Journal of Chemical Engineering 2018, 13, e2181 .

AMA Style

Pouriya H. Niknam, H.R. Mortaheb, B. Mokhtarani. Effects of fluid type and pressure order on performance of convergent-divergent nozzles: An efficiency model for supersonic separation. Asia-Pacific Journal of Chemical Engineering. 2018; 13 (2):e2181.

Chicago/Turabian Style

Pouriya H. Niknam; H.R. Mortaheb; B. Mokhtarani. 2018. "Effects of fluid type and pressure order on performance of convergent-divergent nozzles: An efficiency model for supersonic separation." Asia-Pacific Journal of Chemical Engineering 13, no. 2: e2181.

Journal article
Published: 01 August 2017 in Fluid Phase Equilibria
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ACS Style

Pouriya H. Niknam; Daniele Fiaschi; H.R. Mortaheb; B. Mokhtarani. An improved formulation for speed of sound in two-phase systems and development of 1D model for supersonic nozzle. Fluid Phase Equilibria 2017, 446, 18 -27.

AMA Style

Pouriya H. Niknam, Daniele Fiaschi, H.R. Mortaheb, B. Mokhtarani. An improved formulation for speed of sound in two-phase systems and development of 1D model for supersonic nozzle. Fluid Phase Equilibria. 2017; 446 ():18-27.

Chicago/Turabian Style

Pouriya H. Niknam; Daniele Fiaschi; H.R. Mortaheb; B. Mokhtarani. 2017. "An improved formulation for speed of sound in two-phase systems and development of 1D model for supersonic nozzle." Fluid Phase Equilibria 446, no. : 18-27.

Journal article
Published: 01 July 2017 in Journal of Natural Gas Science and Engineering
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ACS Style

Pouriya H. Niknam; H.R. Mortaheb; B. Mokhtarani. Optimization of dehydration process to improve stability and efficiency of supersonic separation. Journal of Natural Gas Science and Engineering 2017, 43, 90 -95.

AMA Style

Pouriya H. Niknam, H.R. Mortaheb, B. Mokhtarani. Optimization of dehydration process to improve stability and efficiency of supersonic separation. Journal of Natural Gas Science and Engineering. 2017; 43 ():90-95.

Chicago/Turabian Style

Pouriya H. Niknam; H.R. Mortaheb; B. Mokhtarani. 2017. "Optimization of dehydration process to improve stability and efficiency of supersonic separation." Journal of Natural Gas Science and Engineering 43, no. : 90-95.

Journal article
Published: 01 August 2016 in Journal of Natural Gas Science and Engineering
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One of the novel technologies for natural gas dehydration and natural gas dew-point conditioning is supersonic separation, which has remarkable features, including compact and maintenance-free design. Due to its complex design and the difficulty of experimental analysis, researchers tend to conduct numerical modeling for behavior investigation of the nozzle focusing on shockwave which is the main phenomena inside the nozzle. The present NN-model outperforms a selection of data and proposes an efficient NN-based algorithm for shockwave position estimation as the key nozzle geometry parameter. Data for the shockwave location was collected from a wide range of results from the literature and then a neural network based self-organizing map was adapted to the dataset. This created a classified dataset and the use of unreal weight and repeated experimental results from different research were avoided. A neural network was employed for modeling the shockwave location through the nozzle using a better quality dataset. Additionally, the one-dimensional inviscid theory was utilized in the recursive approach for comparison to the main proposed model. Simulation results presented in this research reveal the effectiveness of the proposed neural network technique for supersonic nozzle modeling and make it possible to determine the shockwave location from the nozzle pressure boundary conditions. The results showed that the supersonic nozzle separation have capability to be used in both low-pressure applications and high pressure ones. The dimensionless length for shockwave location is predicted in the range of 0.82–0.92 for the former and 0.72 to 0.95 for the later, depending on pressure recovery ratio.

ACS Style

Pouriya H. Niknam; B. Mokhtarani; H.R. Mortaheb. Prediction of shockwave location in supersonic nozzle separation using self-organizing map classification and artificial neural network modeling. Journal of Natural Gas Science and Engineering 2016, 34, 917 -924.

AMA Style

Pouriya H. Niknam, B. Mokhtarani, H.R. Mortaheb. Prediction of shockwave location in supersonic nozzle separation using self-organizing map classification and artificial neural network modeling. Journal of Natural Gas Science and Engineering. 2016; 34 ():917-924.

Chicago/Turabian Style

Pouriya H. Niknam; B. Mokhtarani; H.R. Mortaheb. 2016. "Prediction of shockwave location in supersonic nozzle separation using self-organizing map classification and artificial neural network modeling." Journal of Natural Gas Science and Engineering 34, no. : 917-924.

Original articles
Published: 29 February 2016 in Chemical Engineering Communications
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The thermal separation flow characteristic in a vortex tube using a three-equation turbulence model is discussed in the present research. Flow behavior and energy separation of a vortex tube in different boundary conditions are investigated through a 3D model. The effect of the operating parameters on the turbulent viscosity ratio and the Mach number is also discussed. It was found that strong swirling flows with a high order of tangential velocity in the peripheral flow contributes to the rise in temperature due to viscous heating. Energy separation and cold-end side temperature depend mainly on the ratio of cold and hot-end side mass flow rates and the inlet conditions. Moreover, the effect of back pressure at cold-end side was investigated to determine how it alters the performance of the vortex tube. Finally, the results of the proposed computational fluid dynamics model are validated by the available experimental data.

ACS Style

Pouriya H. Niknam; H. R. Mortaheb; B. Mokhtarani. Numerical Investigation of a Ranque–Hilsch Vortex Tube Using a Three-Equation Turbulence Model. Chemical Engineering Communications 2016, 204, 327 -336.

AMA Style

Pouriya H. Niknam, H. R. Mortaheb, B. Mokhtarani. Numerical Investigation of a Ranque–Hilsch Vortex Tube Using a Three-Equation Turbulence Model. Chemical Engineering Communications. 2016; 204 (3):327-336.

Chicago/Turabian Style

Pouriya H. Niknam; H. R. Mortaheb; B. Mokhtarani. 2016. "Numerical Investigation of a Ranque–Hilsch Vortex Tube Using a Three-Equation Turbulence Model." Chemical Engineering Communications 204, no. 3: 327-336.

Original articles
Published: 30 September 2014 in Chemical Engineering Communications
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The hydrocyclone is one of the most widely used industrial devices for separation of particles. The main objective of this article is to build a generalized neural network-based model for describing cyclones in laboratory and industrial environments and unusual configurations, covering a wide range of pressures and flow rates, angles, and lengths of cyclone nozzle. A wide range of parameters were investigated in laboratory-scale cyclones and used for training networks for final accurate estimations. A parallel neural network (NN) model was developed for finding different parameters’ effects on efficiency and other possible expected results. Our tests show that parallel processing provides faster and more accurate results than simple NNs. The results show that significant efficiency improvement comes with length increments. Also, efficiency is strongly affected by the geometry parameter and feed condition.

ACS Style

Pouriya H. Niknam; M. Habibian. Experimental Study and Parallel Neural Network Modelling of Hydrocyclones for Efficiency Prediction. Chemical Engineering Communications 2014, 202, 1586 -1590.

AMA Style

Pouriya H. Niknam, M. Habibian. Experimental Study and Parallel Neural Network Modelling of Hydrocyclones for Efficiency Prediction. Chemical Engineering Communications. 2014; 202 (12):1586-1590.

Chicago/Turabian Style

Pouriya H. Niknam; M. Habibian. 2014. "Experimental Study and Parallel Neural Network Modelling of Hydrocyclones for Efficiency Prediction." Chemical Engineering Communications 202, no. 12: 1586-1590.

Journal article
Published: 27 September 2014 in Heat and Mass Transfer
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The present study consists of a pool boiling model modified for nanofluids. The effect of particle size, surface roughness were considered in this work. Nucleation site density ratio was introduced and a correlation was derived based on literature experimental data. Moreover, heat flux partitioning model was employed to evaluate proposed model for boiling heat transfer. The validity was assessed by comparing the results with experimental data. Nucleation site density ratio can predict heat transfer enhancement of nanofluids.

ACS Style

Pouriya H. Niknam; M. Haghighi; N. Kasiri; M. H. Khanof. Numerical study of low concentration nanofluids pool boiling, investigating of boiling parameters introducing nucleation site density ratio. Heat and Mass Transfer 2014, 51, 601 -609.

AMA Style

Pouriya H. Niknam, M. Haghighi, N. Kasiri, M. H. Khanof. Numerical study of low concentration nanofluids pool boiling, investigating of boiling parameters introducing nucleation site density ratio. Heat and Mass Transfer. 2014; 51 (5):601-609.

Chicago/Turabian Style

Pouriya H. Niknam; M. Haghighi; N. Kasiri; M. H. Khanof. 2014. "Numerical study of low concentration nanofluids pool boiling, investigating of boiling parameters introducing nucleation site density ratio." Heat and Mass Transfer 51, no. 5: 601-609.