Thermodynamic and thermoeconomic analyses of a new dual-loop organic Rankine – Generator absorber heat exchanger power and cooling cogeneration system

Pourpasha, Hadi; Mohammadfam, Yaghoub; Khani, Leyla; Mohammadpourfard, Mousa; Heris, Saeed Zeinali

doi:10.1016/j.enconman.2020.113356

Cited by 18 publications

(5 citation statements)

References 35 publications

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“…The analysis of the results of solving unstable equations continued until the station's efficiency reached 70%. Continuity, momentum balance, and energy balance equations are as follows [55][56][57] :…”

Section: Computational Amplitude Modelling Of Heat Exchangersmentioning

confidence: 99%

“…Continuity, momentum balance, and energy balance equations are as follows [ 55–57 ] :

\frac{\partial ρ}{\partial t} + \nabla . (ρ \overset{true\to}{v}) = 0

\frac{\partial}{\partial t} (ρ \overset{true\to}{v}) + \nabla . (ρ \overset{true\to}{v} \overset{true\to}{v}) = - \nabla P + \nabla τ + ρ \overset{true\to}{g} + \overset{true\to}{F}

v \frac{\partial T}{\partial r} + u \frac{\partial T}{\partial x} = α [\frac{1}{r} \frac{\partial}{\partial r} (r \frac{\partial T}{\partial r}) + \frac{\partial^{2} T}{\partial x^{2}}]

where

P

ρ \overset{true\to}{g}

, and

\overset{true\to}{F}

are the static pressure, the gravitational body force, and external body force, respectively. v and u are the inlet gas velocities, in the directions of r , x , respectively, and

α

is the thermal diffusivity.…”

Section: Mathematical Modelling and Flow Geometrymentioning

confidence: 99%

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The effect of heat transfer characteristics of macromolecule fouling on heat exchanger surface: A dynamic simulation study

et al. 2023

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At the city gate gas pressure reduction stations (CGSs), to prevent natural gas from forming a hydrate in the throttle valve, the natural gas is heated by the heater before reaching the pressure relief valve. Heat exchangers are an essential component of industrial processes that contribute significantly to total system energy. Since the element impacting heat exchanger performance is the fouling process, all fouling processes and models were dynamically simulated in this study. Through coding in the C++ language and simultaneous use of fluent functions, or, in other words, user‐defined function (UDF), fouling‐related models were defined for this software. The dynamic simulation was performed, and parameters such as fouling strength and layer thickness were calculated. The effects of changing operating conditions, such as gas inlet velocity, surface temperature, and fouling species concentration on fouling growth, were also evaluated. As the concentration of fouling species increased, the fouling rate also increased. The amount of supersaturation and fouling rate increased as the surface temperature increased. Due to the operational limitations of the system, to reduce the fouling rate, the gas inlet velocity should be as high as possible, and the fluid inlet temperature, surface temperature, and concentration of fouling species should be as low as possible. In this study, the required time to reach the efficiency of 70% of the heat exchanger was calculated using the modelling of this chamber, which was equivalent to 190 days. Additionally, the critical thickness of the fouling layer at this time was 3.5 cm.

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Section: Computational Amplitude Modelling Of Heat Exchangersmentioning

confidence: 99%

“…Continuity, momentum balance, and energy balance equations are as follows [ 55–57 ] :

\frac{\partial ρ}{\partial t} + \nabla . (ρ \overset{true\to}{v}) = 0

\frac{\partial}{\partial t} (ρ \overset{true\to}{v}) + \nabla . (ρ \overset{true\to}{v} \overset{true\to}{v}) = - \nabla P + \nabla τ + ρ \overset{true\to}{g} + \overset{true\to}{F}

v \frac{\partial T}{\partial r} + u \frac{\partial T}{\partial x} = α [\frac{1}{r} \frac{\partial}{\partial r} (r \frac{\partial T}{\partial r}) + \frac{\partial^{2} T}{\partial x^{2}}]

where

P

ρ \overset{true\to}{g}

, and

\overset{true\to}{F}

are the static pressure, the gravitational body force, and external body force, respectively. v and u are the inlet gas velocities, in the directions of r , x , respectively, and

α

is the thermal diffusivity.…”

Section: Mathematical Modelling and Flow Geometrymentioning

confidence: 99%

The effect of heat transfer characteristics of macromolecule fouling on heat exchanger surface: A dynamic simulation study

et al. 2023

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“…The pressure drops and the average friction coefficient inside the copper tube were calculated by continuity, momentum balance, and friction coefficient equations, as follows 41 , 43 , 44 : where , and are the static pressure, the gravitational body force, and external body force, respectively 41 . Utilizing boundary conditions and possible simplifications, the equations are solved, and the results are reported as a figure and table.…”

Section: Simulation Description and Numerical Analysismentioning

confidence: 99%

Comparison between multi-walled carbon nanotubes and titanium dioxide nanoparticles as additives on performance of turbine meter oil nano lubricant

Pourpasha

Heris

Mohammadfam

2021

Sci Rep

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This research aims of compare the impact of the mass fraction of multi-walled carbon nanotubes (MWCNTs) and titanium dioxide (TiO2) nano additive on the tribological and thermophysical attributes of turbine meter oil. These attributes include the average friction coefficient, pressure drop, wear, flash point, pour point, relative viscosity, kinematics viscosity, and viscosity index. The pressure drops and the average friction coefficient inside the copper tube were simulated and compared with experimental results. In this study, for the synthesis of nano lubricants from turbine meter oil as a pure fluid and from MWCNTs and TiO2 as nano additives in the mass fraction of 0.05, 0.1, 0.2, 0.3, and 0.4 wt.% and from oleic acid and Triton x100 as surfactants were utilized. The results illustrated that the wear depth of copper pins in the presence of nano lubricant with 0.4 wt.% of MWCNTs and 0.1 wt.% TiO2 was improved by 88.26% and 71.43%, respectively. Increasing 0.3 wt.% of TiO2 and MWCNTs into the oil caused to improvement in viscosity index. The simulation data and experimental data for the pressure drop were closer together and indicated a minor error that the maximum error is less than 10%.

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“…Therefore, it is particularly important to evaluate the performance of the DORC system under full operating conditions of the IC engines [30,31]. Table 2 simply lists the indicators used to evaluate the operating performance of ORC systems in recent years [32][33][34][35][36][37][38][39][40][41][42][43]. It can be seen from the table that only a few indicators are selected to evaluate the performance of the ORC system.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, for the DORC system for CNG engine WHR, it is particularly important to analyze the operating performance of HT loop, LT loop, and different components to comprehensively evaluate the system performance. Table 2 shows ORC systems in recent years [32][33][34][35][36][37][38][39][40][41][42][43]. It can be seen from the table that only a few indicators are selected to evaluate the performance of the ORC system.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Response Characteristics Analysis and Energy, Exergy, and Economic (3E) Evaluation of Dual Loop Organic Rankine Cycle (DORC) for CNG Engine Waste Heat Recovery

Yao

Zhang

2021

Energies

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Frequent fluctuations of CNG engine operating conditions make the waste heat source have uncertain, nonlinear, and strong coupling characteristics. These characteristics are not conducive to the efficient recovery of the DORC system. The systematic evaluation of the CNG engine waste heat source and the comprehensive performance of the DORC system is conducive to the efficient use of waste heat. Based on the theory of internal combustion (IC) engine thermal balance, this paper analyzes the dynamic characteristics of compressed natural gas (CNG) engine waste heat energy under full operating conditions. Then, based on the operating characteristics of the dual loop organic Rankine cycle (DORC) system, thermodynamic models, heat transfer models, and economic models are constructed. The dynamic response characteristics analysis and energy, exergy, and economic (3E) evaluation of the DORC system under full operating conditions are carried out. The results show that the maximum values of net power output, heat exchange area, and the minimum values of EPC (electricity production cost) and PBT (payback time) are all obtained under rated condition, which are 174.03 kW, 25.86 kW, 37.54 kW, 24.76 m2, 0.15 $/kW·h and 3.46 years. Therefore, the rated condition is a relatively ideal design operating point for the DORC system. The research in this paper not only provides a reliable reference for the comprehensive analysis and evaluation of the performance of the DORC system, but also provides useful guidance for the selection of appropriate DORC system design operating points.

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Thermodynamic and thermoeconomic analyses of a new dual-loop organic Rankine – Generator absorber heat exchanger power and cooling cogeneration system

Cited by 18 publications

References 35 publications

The effect of heat transfer characteristics of macromolecule fouling on heat exchanger surface: A dynamic simulation study

The effect of heat transfer characteristics of macromolecule fouling on heat exchanger surface: A dynamic simulation study

Comparison between multi-walled carbon nanotubes and titanium dioxide nanoparticles as additives on performance of turbine meter oil nano lubricant

Dynamic Response Characteristics Analysis and Energy, Exergy, and Economic (3E) Evaluation of Dual Loop Organic Rankine Cycle (DORC) for CNG Engine Waste Heat Recovery

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