Thermal performance optimization of the underground power cable system by using a modified Jaya algorithm

Ocłoń, Paweł; Cisek, Piotr; Rerak, Monika; Taler, Dawid; Rao, R. Venkata; Vallati, Andrea; Pilarczyk, Marcin

doi:10.1016/j.ijthermalsci.2017.09.015

Cited by 59 publications

(34 citation statements)

References 34 publications

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“…As global economics increase, the demand for electricity supply increases rapidly [1]. The underground power cable is considered as one of the most common way to transmit the electrical power in the city [2,3]. For electric power transmission, cable ampacity is quite important for the cable safe operation, which is defined as the maximum cable current.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study of Convection and Radiation Heat Transfer in Pipe Cable

Quan

et al. 2018

Mathematical Problems in Engineering

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Pipe cable is considered as an important form for underground transmission line. The maximum electrical current (ampacity) of power cable system mostly depends on the cable conductor temperature. Therefore, accurate calculation of temperature distribution in the power cable system is quite important to extract the cable ampacity. In the present paper, the fluid flow and heat transfer characteristics in the pipe cable with alternating current were numerically studied by using commercial code COMSOL MULTIPHYSICS based on finite element method (FEM). The cable core loss and eddy current loss in the cable were coupled for the heat transfer simulation, and the difference of heat transfer performances with pure natural convection model and radiationconvection model was compared and analysed in detail. Meanwhile, for the radiation-convection model, the effects caused by radiant emissivity of cable surface and pipe inner surface, as well as the cable location in the pipe, were also discussed. Firstly, it is revealed that the radiation and natural convection heat flux on the cable surface would be of the same order of magnitude, and the radiation heat transfer on the cable surface should not be ignored. Otherwise, the cable ampacity would be underestimated. Secondly, it is found that the overall heat transfer rate on the cable surface increases as the cable surface emissivity increases, and this is more remarkable to the upper cable. While the effect caused by the radiant emissivity on the pipe inner surface would be relatively small. Furthermore, it is demonstrated that, as cable location in the pipe falls, the natural convection heat transfer would be enhanced. These results would be meaningful for the ampacity prediction and optimum design for the pipe cable.

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Section: Introductionmentioning

confidence: 99%

Numerical Study of Convection and Radiation Heat Transfer in Pipe Cable

Quan

et al. 2018

Mathematical Problems in Engineering

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“…To overcome the limitation of existing optimization approaches, Jaya as a powerful global optimization approach has been introduced by Rao (2016) [27] as a benchmark function for constrained and unconstrained problems. It is an algorithm-specific parameter-free approach which has been proven to be superior to state-of-the-art optimization algorithms and has been successfully applied in thermal performance optimization [28], photovoltaic model identification [29], cooling tower design [30], sensing period adaptation [31], heat change optimization [32], and so forth. Figure 5 shows the diagram of Jaya algorithm.…”

Section: Jaya Algorithmmentioning

confidence: 99%

Identification of Alcoholism Based on Wavelet Renyi Entropy and Three‐Segment Encoded Jaya Algorithm

Wang

Muhammad

et al. 2018

Complexity

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The alcohol use disorder (AUD) is an important brain disease, which could cause the damage and alteration of brain structure. The current diagnosis of AUD is mainly done manually by radiologists. This study proposes a novel computer-vision-based method for automatic detection of AUD based on wavelet Renyi entropy and three-segment encoded Jaya algorithm from MRI scans. The wavelet Renyi entropy is proposed to provide multiresolution and multiscale analysis of features, describe the complexity of the brain structure, and extract the distinctive features. Grid search method was used to select the optimal wavelet decomposition level and Renyi order. The classifier was constructed based on feedforward neural network and a three-segment encoded (TSE) Jaya algorithm providing parameter-free training of the weights, biases, and number of hidden neurons. We have conducted the experimental evaluation on 235 subjects (114 are AUDs and 121 healthy). -fold cross validation has been used to avoid overfitting and report out-of-sample errors. The results showed that the proposed method outperforms four state-of-the-art approaches in terms of accuracy. The proposed TSE-Jaya provides a better performance, compared to the conventional approaches including plain Jaya, multiobjective genetic algorithm, particle swarm optimization, bee colony optimization, modified ant colony system, and real-coded biogeography-based optimization.

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“…If the water content of the ground is high, it may be necessary to use a numerical modelling approach that, in addition to heat dissipation, is able to also simulate the moisture content transport around the studied object [38,39]. However, in this study, only the outside air temperature was taken into account and the ground was assumed to be dry based on the lack of water outflow from the boreholes.…”

Section: Numerical Model Limitationsmentioning

confidence: 99%

In Situ Experiment and Numerical Model Validation of a Borehole Heat Exchanger in Shallow Hard Crystalline Rock

et al. 2018

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Accurate and fast numerical modelling of the borehole heat exchanger (BHE) is required for simulation of long-term thermal energy storage in rocks using boreholes. The goal of this study was to conduct an in situ experiment to validate the proposed numerical modelling approach. In the experiment, hot water was circulated for 21 days through a single U-tube BHE installed in an underground research tunnel located at a shallow depth in crystalline rock. The results of the simulations using the proposed model were validated against the measurements. The numerical model simulated the BHE's behaviour accurately and compared well with two other modelling approaches from the literature. The model is capable of replicating the complex geometrical arrangement of the BHE and is considered to be more appropriate for simulations of BHE systems with complex geometries. The results of the sensitivity analysis of the proposed model have shown that low thermal conductivity, high density, and high heat capacity of rock are essential for maximising the storage efficiency of a borehole thermal energy storage system. Other characteristics of BHEs, such as a high thermal conductivity of the grout, a large radius of the pipe, and a large distance between the pipes, are also preferred for maximising efficiency.

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Thermal performance optimization of the underground power cable system by using a modified Jaya algorithm

Cited by 59 publications

References 34 publications

Numerical Study of Convection and Radiation Heat Transfer in Pipe Cable

Numerical Study of Convection and Radiation Heat Transfer in Pipe Cable

Identification of Alcoholism Based on Wavelet Renyi Entropy and Three‐Segment Encoded Jaya Algorithm

In Situ Experiment and Numerical Model Validation of a Borehole Heat Exchanger in Shallow Hard Crystalline Rock

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