Thermo-economic optimization of a nanofluid based organic Rankine cycle: A multi-objective study and analysis

Prajapati, Parth; Patel, Vivek

doi:10.1016/j.tsep.2019.100381

Cited by 24 publications

(5 citation statements)

References 34 publications

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“…An analogy can be made with exceptional heat transfer properties and operational costs; with higher efficiency, the return-on-investment increases. Prajapati and Patel [121] performed the thermoeconomic optimization of the nanofluid-based organic Rankine cycle and observed that the enhancement of the thermal transfer properties due to the introduction of nanofluids shortened the payback period. Some of the widely used heat transfer fluids, such as water, air, hydrocarbon oils, and refrigerants, are abundant and cheap but require processing which is one of the major contributors to the operating costs of the process plant.…”

Section: Comparing Different Commercial Heat Transfer Fluidsmentioning

confidence: 99%

A Review on Environmental and Economic Impact of 2D Nanomaterials-Based Heat Transfer Fluids

Shaik

Goyal

et al. 2022

Journal of Nanomaterials

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2D nanomaterials-based heat transfer fluids show excellent thermal properties due to their large specific surface area; hence, they find large-scale applications in automobile industries and cooling processes. Therefore, it is very essential to study the environmental and economic aspects of these 2D nanomaterial-based nanofluids. In this review, we have discussed the environmental impact of 2D nanomaterial-based heat transfer nanofluids under various conditions. The environmental impact analysis of these materials has shown excellent capability in reducing the energy consumption for heat transfer operations. Moreover, the possibility of nanomaterials and base fluid recovery makes it a sustainable alternative. In addition, health risk assessment on humans, cytotoxicity, and life cycle analysis have also been explored. The price-performance index has been successfully used to study the economic impact of 2D nanomaterial-based heat transfer fluids. The overall economic impact of 2D nanomaterial-based heat transfer nanofluids provides an optimistic perspective over conventional heat transfer fluids. Moreover, graphene production, market trend, and commercialization obstacles were also discussed.

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Section: Comparing Different Commercial Heat Transfer Fluidsmentioning

confidence: 99%

A Review on Environmental and Economic Impact of 2D Nanomaterials-Based Heat Transfer Fluids

Shaik

Goyal

et al. 2022

Journal of Nanomaterials

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“…Assuming the Hex has negligible heat loss to its surroundings, the fluid's properties are deemed constant, and there is negligible tube wall thermal resistance. Q remains constant throughout the Hex, and it is possible to calculate the overall heat transfer coefficient with Equation ():

U goodbreak= {(\frac{1}{h_{i}} + \frac{1}{h_{o}})}^{- 1}

where h i and h o represent the convection heat transfer coefficient of water and ethylene glycol, respectively, and are calculated using Equations () [ 60 ] :

italicRe goodbreak= \frac{ρvd}{μ}

italicPr goodbreak= \frac{C_{p} μ}{k}

italicNu goodbreak= 0.023 {Re}^{0.8} \Pr^{0.4}, italicRe > 10^{4}, 0.6 \leq \Pr \leq 160

h_{i} goodbreak= \frac{Nuk}{D}

The pressure drop

∆ p

generated by the fluid in the pipes can be calculated using Equations () [ 60,74 ] :

∆ p goodbreak= \frac{italicfρ v^{2} L}{2 D}

f goodbreak= {(0.79 \ln Re - 1.64)}^{- 2}, 3000 \leq italicRe \geq 5 goodbreak\times 10^{6}

v goodbreak= \frac{4 \overset{m}{true}}{italicρπ D^{2}}

The pumping power is calculated with Equation ():

…”

Section: Simplified Heat Transfer Modelmentioning

confidence: 99%

“…The pressure drop Δp generated by the fluid in the pipes can be calculated using Equations ( 7)-( 9) [60,74] :…”

Section: Evaluation Of Initial Heat Transfer and Operational Parametersmentioning

confidence: 99%

Nanofluids as heat transfer fluids: Hurdles to industrial application and economic considerations

2022

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Nanofluids have gained substantial interest over the past years due to their enhanced thermal properties. However, these nanoparticle dispersions remain scarcely used in industrial applications. In this work, we demonstrate how the stability of nanofluids and economic factors are the major hurdles preventing their industrial large-scale use through an economic analysis. The costeffectiveness of multiwalled carbon nanotubes (MWCNT)-water and copper oxide-water nanofluids used in a concentric tube heat exchanger as substitutes for freshwater was assessed in four different scenarios. It was determined that three of the four cases were not economically viable, as a deficit was generated due to a recurring annual investment for the renewal of the nanofluids because they destabilized with time. The fourth case, however, was sustainable because of the nanofluid's high stability (5 years) and showed a payback period on investment of less than a year. Finally, a tool illustrating the operating window for nanofluid economics in our selected heat exchanger geometry was developed.

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“…A multiobjective heat transfer search (MOHTS) is a multiobjective variant of the HTS algorithm capable to handle two or more objectives simultaneously. [36][37][38][39][40][41][42][43][44][45] The MOHTS algorithm works on the nondominating principle. The algorithm produces a set of solutions for each objective, from which the dominating solutions are eliminated and nondominating solutions are stored in external archives.…”

Section: E Modeling Of Power Cycle and Objective Function Formulationmentioning

confidence: 99%

Energy, economy, and ecological (3E)‐based performance evaluation of a steam cycle power plant through optimization investigation

et al. 2021

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Energy, economy, and ecological (3E)-based analysis of steam cycle power plant evaluated through multiobjective investigation. The Montazer Ghaem steambased power plant situated in Iran is considered for investigation. Cycle efficiency, total cost, and ecological function of steam power cycle are treated as the 3E objective in the analysis. Simultaneous optimization of this performance parameter is executed through a heat transfer search algorithm. Fifteen operating variables of the steam power cycle, which includes different pressure, temperature, and isentropic efficiency are

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Thermo-economic optimization of a nanofluid based organic Rankine cycle: A multi-objective study and analysis

Cited by 24 publications

References 34 publications

A Review on Environmental and Economic Impact of 2D Nanomaterials-Based Heat Transfer Fluids

A Review on Environmental and Economic Impact of 2D Nanomaterials-Based Heat Transfer Fluids

Nanofluids as heat transfer fluids: Hurdles to industrial application and economic considerations

Energy, economy, and ecological (3E)‐based performance evaluation of a steam cycle power plant through optimization investigation

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