Parametric study of phase change time reduction in a shell-and-tube ice storage system with anchor-type fin design

Afsharpanah, Farhad; Ajarostaghi, Seyed Soheil Mousavi; Arıcı, Müslüm

doi:10.1016/j.icheatmasstransfer.2022.106281

Cited by 54 publications

(5 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the rise in energy demand and dependence on fossil fuels has led to energy crises, declining resources, and environmental pollution [3]. Although optimizing energy systems [4,5] and employing energy storage devices [6] are considered by scholars, the use of renewable energy sources [7] is one of the most effective solutions to cope with these difficulties. Among renewable energy sources, wind energy is the most common and sustainable type of energy and, currently, the application of this free energy source is being considered more than ever [8].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind Potential

et al. 2022

Self Cite

View full text Add to dashboard Cite

The type of airfoil with small wind turbine blades should be selected based on the wind potential of the area in which the turbine is used. In this study, 10 low Reynolds number airfoils, namely, BW-3, E387, FX 63-137, S822, S834, SD7062, SG6040, SG6043, SG6051, and USNPS4, were selected and their performance was evaluated in a 1 kW wind turbine in terms of the power coefficient and also the startup time, by performing a multi-objective optimization study. The blade element momentum technique was utilized to perform the calculations of the power coefficient and startup time and the differential evolution algorithm was employed to carry out the optimization. The results reveal that the type of airfoil used in the turbine blade, aside from the aerodynamic performance, completely affects the turbine startup performance. The SG6043 airfoil has the highest power coefficient and the BW-3 airfoil presents the shortest startup time. The high lift-to-drag ratio of the SG6043 airfoil and the low inertia of the turbine blades fitted with the BW-3 airfoil make them suitable for operation in windy regions and areas with low wind speeds, respectively.

show abstract

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind Potential

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…The thermal properties of a PU-PCM composite were experimentally and numerically examined by Purohit and Sistla [17], and the study output indicated nucleation and crystallization domination of salt hydrate. Afsharpanah et al [18][19][20] focused on several enhancement methods, such as porous foams, fins, and nanomaterials. A copper foam enhancement technique [18] increased the phase change rate by 92.5%.…”

Section: Introductionmentioning

confidence: 99%

“…In other studies [19,[21][22][23][24], various thermal conductivity enhancement methods (e.g., examination of various geometries and addition of fins) have been analyzed for double-pipe LHTES systems. The effect of sinusoidal wavy fins has been studied by Shahsavar et al [21,22] and achieved a melting/solidification time reduction of 43.49% and 17.81% with a wavy fin with amplitude and wavelength of 2 and 1 mm, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…The impact of fin type and orientation of a double pipe heat exchanger with N-eicosane as a PCM has been numerically analyzed by Nicholls et al [24], and the transversal corrugated fin design exhibited shorter charging and discharging time. Anchor-type longitudinal fins [19] in shell and tube storage lead to a melting process slower up to 201.5% than the solidification process.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Numerical Parametric Study of a Double-Pipe LHTES Unit with PCM Encapsulated in the Annular Space

et al. 2022

View full text Add to dashboard Cite

Latent heat thermal energy storage (LHTES) with Phase Change Materials (PCM) represents an interesting option for Thermal Energy Storage (TES) applications in a wide temperature range. A tubular encapsulation model of an LHTES with PCM was developed, and the calculated data were analyzed. In addition, a parametric analysis for the preferable system geometry is presented. Organic paraffin RT18 with a melting point of 18 °C was utilized as PCM for different geometries of LHTES, and the addition of internal and external fins and their influence on LHTES thermal conductivity was investigated. One-step heat exchange from outdoor air to PCM and from PCM to water characterizes the LHTES system in solidification and melting processes, respectively. A 2D axisymmetric model was developed using Comsol Multiphysics 6.0. The LHTES unit performance with PCM organic paraffin RT18 encapsulated in electrospun fiber matrices was analyzed. The study results show that longer internal fins shorten the melting and solidification time. The phase change process was accelerated by 31.12% in the charging compared to the case with no fins of the same external tube diameter. Direct contact of PCM electrospun fiber matrix with 23 °C water showed instant melting, and the phase change process was accelerated by 99.97% in the discharging cycle.

show abstract

“…To deal with this situation, the use of load-leveling techniques based in energy storage devices is a common and useful solution [10]. Some of the most common energy storage appliances are the compressed-air energy storage [11], the potential hydro storage [12], the use of super capacitors [13], super magnetic storage systems [14], batteries [15], and thermal energy storage systems [16,17]. All these systems consider that there are some periods over the day where the energy production exceeds the energy consumption; thus, the surplus energy can be stored and used later when the energy production is lower than the energy demand.…”

Section: Introductionmentioning

confidence: 99%

Methodology for the Identification of Dust Accumulation Levels in Photovoltaic Panels Based in Heuristic-Statistical Techniques

Perez-Anaya,

Elvira-Ortiz,

Osornio-Rios

et al. 2022

Electronics

View full text Add to dashboard Cite

The use of renewable energies is increasing around the world in order to deal with the environmental and economic problems related with conventional generation. In this sense, photovoltaic generation is one of the most promising technologies because of the high availability of sunlight, the easiness of maintenance, and the reduction in the costs of installation and production. However, photovoltaic panels are elements that must be located outside in order to receive the sun radiation and transform it into electricity. Therefore, they are exposed to the weather conditions and many environmental factors that can negatively affect the output delivered by the system. One of the most common issues related to the outside location is the dust accumulation in the surface of the panels. The dust particles obstruct the passage of the sunlight, reducing the efficiency of the generation process and making the system prone to experimental long-term faults. Thus, it is necessary to develop techniques that allow us to assess the level of dust accumulation in the panel surface in order to schedule a proper maintenance and avoid losses associated with the reduction of the delivered power and unexpected faults. In this work, we propose a methodology that uses a machine learning approach to estimate different levels of dust accumulation in photovoltaic panels. The developed method takes the voltage, current, temperature, and sun radiance as inputs to perform a statistical feature extraction that describes the behavior of the photovoltaic system under different dust conditions. In order to retain only the relevant information, a genetic algorithm works along with the principal component analysis technique to perform an optimal feature selection. Next, the linear discrimination analysis is carried out using the optimized dataset to reduce the problem dimensionality, and a multi-layer perceptron neural network is implemented as a classifier for discriminating among three different conditions: clean surface, slight dust accumulation, and severe dust accumulation. The proposed methodology is implemented using real signals from a photovoltaic installation, proving to be effective not only to determine if a dust accumulation condition is present but also when maintenance actions must be performed. Moreover, the results demonstrate that the accuracy of the proposed method is always above 94%.

show abstract

Parametric study of phase change time reduction in a shell-and-tube ice storage system with anchor-type fin design

Cited by 54 publications

References 12 publications

Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind Potential

Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind Potential

A Numerical Parametric Study of a Double-Pipe LHTES Unit with PCM Encapsulated in the Annular Space

Methodology for the Identification of Dust Accumulation Levels in Photovoltaic Panels Based in Heuristic-Statistical Techniques

Contact Info

Product

Resources

About