Heat Transfer Fluids

Lenert, Andrej; Nam, Youngsuk; Wang, Evelyn N.

doi:10.1615/annualrevheattransfer.2012004122

Cited by 47 publications

(20 citation statements)

References 78 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hence current research efforts are focused on the optimization of the collector loop and power cycle design, the regulation of outlet temperature and pressure, and the reduction of collector piping costs. 197…”

Section: Steammentioning

confidence: 99%

Concentrating Solar Power

et al. 2015

Self Cite

View full text Add to dashboard Cite

Concentrating solar power (CSP) is a reliable and wellknown form of solar power. Nine solar trough plants producing more than 400 megawatts (MW) of electricity have been operating reliably in the California Mojave Desert since the 1980s. With a renewed sense of urgency to commercialize renewable energy sources, the U.S. Department of Energy (DOE) is ramping up its CSP research, development, and deployment efforts. These efforts, which are leveraging both industry partners and the national laboratories, are directed toward the development of parabolic trough, dish/engine, and power tower CSP systems.

show abstract

Section: Steammentioning

confidence: 99%

Concentrating Solar Power

et al. 2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…There is no direct correlation between the heat transfer enhancement and its temperature and concentration levels (Figure 6.9). For instance, at φ= 2%, Mo* reaches its maximum value at T=35 • C, indicating that the nanofluid is more promising for higher temperature heat transfer applications [19,26,124]. These observations can be correspondingly related to the state of dispersion attained in each NPs concentration and temperature level.…”

Section: Mouromtseff Factor (Mo)mentioning

confidence: 95%

Enhanced Molecular Dynamics Approach for Thermal Transport Phenomena in Complex Systems

Antoun¹

2021

Preprint

View full text Add to dashboard Cite

This thesis introduces an enhanced Molecular Dynamics (MD) approach, blended with fine-tuned Force Field (FF) models to reflect more realistic experimental conditions and achieve a precise representation of the atomic interactions in complex systems. Firstly, an enhanced MD algorithm consisting of an upgraded non-equilibrium integration scheme, namely eHEX, coupled with an augmented TraPPE-UA force field, was generated and put to use to predict Soret effect in a binary mixture: n-pentane/n-decane. The results were compared to other MD approaches and validated with respect to benchmarked experimental data. The suggested method showed a closer agreement with experimental data than the previous MD findings. The reinforced potential field (TraPPE-UA) was capable of reflecting the real molecular interactions between the hydrocarbons and reproduce the liquid mixture properties at different conditions. Moreover, the extended HEX method succeeded in conserving the system’s overall energy with minor fluctuations and attaining a stationary state, ensuring the precision of the integration scheme and the satisfaction of local equilibrium. Secondly, the performance of the previously proposed approach was further studied to test its performance on a ternary mixture of methane/n-butane/n-dodecane at five different compositions. Thermodiffusion separation ratio of each component was assessed at 333.15 K and 35 MPa, and compared to the experimental data as well as 3 other MD models from the literature. A good qualitative agreement between the experimental data and the MD model observed in this work was observed, displaying the least deviation when compared to the other MD approaches. The method was capable of adequately representing the physics behind the thermodiffusive separation and deepening the microscopic understanding of the segregation process in a ternary mixture undergoing large thermal gradients. Put differently, the approach elucidates the relative contribution of the cross-interactions found between the unlike species in the mixture and their corresponding composition. Next, an enhanced MD approach was also presented to predict the dynamics and thermophysical properties of suspended γ-alumina nanoparticles (NPs) in acidic aqueous solutions. The previous MD work have unveiled numerous impediments in terms of reproducing the thermal transport phenomena in nanofluids. A hybrid potential field, comprised of refined orce field models (ClayFF and SPC/E), was implemented to allow a precise integration of the nanoscale phenomena into the dynamics and structure of charged alumina NPs, thereby bridging the challenging gap between the solid-liquid interfacial chemistry and the overall thermodynamic properties. The original CLAYFF was augmented to properly account for the energy and momentum transfer between the water molecules and the positively charged NPs, while keeping the number of parameters small enough to allow modeling of a relatively large nanofluidic system.The results were in good agreement with the experimental data. An increase of the NPs volumetric concentration (φ) lead to the enhancement of thermal conductivity along with an increase of viscosity. The results demonstrate the crucial role played by the repulsive electrostatic forces yielding well-dispersed NP suspensions, specially at low φ. The post analysis of Mouromtseff number demonstrated that at lower φ, the system show a higher propensity for stability and enhancement for φ less than 2%, specially at high temperatures. On the contrary, for volumetric concentrations higher than 2%, the system thermal performance deteriorates which is expected due to the fact that the system exhibit a critical condition of aggregation and clogging. With all of the above findings in mind, the MD framework presented in this thesis represents an improved step towards a precise and computationally balanced MD modelling that bridges the relation between molecular signatures and macroscopic features, capable of overcoming the shortcomings present in mainly two emerging thermal applications: 1) Soret effect in hydrocarbon mixture and 2) thermal transport of alumina-water nanofluids.

show abstract

“…Nuclear considerations do not come into play for a solar HTF; however, other attractive features of helium are relevant. A 2012 paper by MIT proposed a figure of merit (FOM) for selection of HTFs for CSP applications [95]. This analysis formulated an FOM based on heat capacity, density, thermal conductivity, and viscosity.…”

Section: Current Statusmentioning

confidence: 99%