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2023 3nd International Conference on Electrical Engineering and Control Science（IC2ECS 2023）is to be held in Hangzhou, China during December 29-31, 2023.
The topics of interest for submission include, but are not limited to:
1. Electrical Engineering
Embedded systems
Optimal, Robust Control
...
2. Control Science
Power system optimization
Power distribution automation systems
...
Please, how much is the article processing charge?
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As a final year student I am searching for the project that is related to Power domain. If someone could share the latest ideas regarding it
Design microcontroller based EV charger in Noval DC-DC converter.
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In a 3 phase 3 winding transformer their R!2 R23 R13 can be calculate by using sc analysis but doe to lack of data. It has been interpreted for the analysis on EMTP program. So is there any other way  to calculate it?
When accurate data for the leakage reactances (R12, R23, R13) of a transformer is not readily available, empirical estimation based on the physical characteristics of the transformer can be a practical approach. This method involves using the transformer's physical dimensions, winding configuration, core material, and other relevant parameters to estimate these reactances.
While empirical estimation may not provide the same level of precision as direct measurements or detailed manufacturer data, it can still yield reasonably accurate results for many practical applications. Engineers and researchers often rely on empirical methods when detailed data is unavailable, especially for older or non-standard transformers.
However, it's crucial to exercise caution and consider the limitations of empirical estimation. The accuracy of the estimates depends on the quality of the empirical formulas or correlations used and how closely the transformer in question aligns with the assumptions made in those formulas. Additionally, verification through simulation or comparison with actual measurements, if possible, is advisable to ensure the reliability of the estimated leakage reactances in power system studies.
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I want to calculate Rayleigh number and Nusselt number of a PCM-heatsink to analyze the intensity of the natural convection of PCM. There are some fins inside my heatsink to enhance the heat transfer. Now I am having trouble calculating the characteristic length to use in Rayleigh and Nusselt dimensionless numbers.
I would be grateful if you could help me.
The Rayleigh number (Ra) is a dimensionless number used to predict the flow regime (conduction, convection, or mixed) in a fluid when it is heated from below. In the context of a phase change material (PCM)-heatsink system with fins, the characteristic length is an important parameter for calculating the Rayleigh number.
The characteristic length (L) used in the Rayleigh number calculation can vary depending on the geometry of the system. In the case of a PCM-heatsink with fins, the characteristic length can be defined based on the specific geometry you are dealing with. Here are a few possibilities:
1. Fin Height (H): If the characteristic dimension of interest is the height of the fins (assuming they are vertically oriented), you can use the height of the fin as the characteristic length. This would be suitable when the heat transfer is mainly driven by natural convection along the fins.Rayleigh Number (Ra) = (g * β * ΔT * H^3) / (ν * α)Where:g: Acceleration due to gravity β: Coefficient of volumetric expansion ΔT: Temperature difference between the heated surface and the surrounding fluid ν: Kinematic viscosity of the fluid α: Thermal diffusivity of the fluid
2. Fin Base Width (W): If the characteristic dimension is the width of the fin base, you can use this value as the characteristic length. This might be more appropriate if the heat transfer occurs primarily through the base of the fins.Rayleigh Number (Ra) = (g * β * ΔT * W^3) / (ν * α)
Remember that the choice of characteristic length depends on the dominant heat transfer mechanism in your specific setup. The key is to select a length scale that is relevant to the phenomenon you are trying to analyze.
Additionally, when dealing with PCM systems, keep in mind that the melting and solidification of the PCM can introduce additional complexity to the heat transfer process. You might need to consider the effects of latent heat and phase change in your analysis.
Before performing calculations, ensure that the physical properties of the fluid, PCM, and the geometry are accurately determined. It's recommended to consult relevant literature, research articles, or textbooks in the field of heat transfer to find appropriate values and guidance for your specific configuration.
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