Compact Rectifier Array with Wide Input Power and Frequency Ranges Based on Adaptive Power Distribution

Author(s):  
Jisu Kim ◽  
Juntaek Oh
2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Retno W. Purnamaningsih ◽  
Nji R. Poespawati ◽  
Elhadj Dogheche

This paper reports design of a simple four-branch optical power splitter using five parallel rectangular waveguides coupling in a gallium-nitride (GaN) semiconductor/sapphire for telecommunication links. The optimisation was conducted using the 3D FD-BPM method for long wavelength optical communication. The result shows that, at propagation length of 925 μm, the optical power input was successfully split into four uniform output beams, each with 24% of total input power. It is also shown that the relative output power distribution is almost stable through the C-band range. At the operating wavelength of 1.55 μm, the proposed power splitter has an excess loss lower than 0.2 dB. This study demonstrates the opportunity to develop optical interconnections from UV-Visible to near IR wavelengths.


Author(s):  
Maha Yousif Hasan ◽  
Dheyaa Jasim Kadhim

Many consumers of electric power have excesses in their electric power consumptions that exceed the permissible limit by the electrical power distribution stations, and then we proposed a validation approach that works intelligently by applying machine learning (ML) technology to teach electrical consumers how to properly consume without wasting energy expended. The validation approach is one of a large combination of intelligent processes related to energy consumption which is called the efficient energy consumption management (EECM) approaches, and it connected with the internet of things (IoT) technology to be linked to Google Firebase Cloud where a utility center used to check whether the consumption of the efficient energy is satisfied. It divides the measured data for actual power (A_p ) of the electrical model into two portions: the training portion is selected for different maximum actual powers, and the validation portion is determined based on the minimum output power consumption and then used for comparison with the actual required input power. Simulation results show the energy expenditure problem can be solved with good accuracy in energy consumption by reducing the maximum rate (A_p ) in a given time (24) hours for a single house, as well as electricity’s bill cost, is reduced.


2020 ◽  
Vol 30 (4) ◽  
pp. 437-440 ◽  
Author(s):  
Pengde Wu ◽  
Yi-dan Chen ◽  
Wenshen Zhou ◽  
Zhi Hua Ren ◽  
Shao Ying Huang

2013 ◽  
Vol 456 ◽  
pp. 363-366
Author(s):  
Peng Xiao ◽  
Shu Hai Quan

An indirect fuel cell hybrid vehicle test bench is established for validating the control algorithm. The fuel cell output voltage is boosted through DC / DC converter. DC / DC converter positive and negative outputs are respectively connected with lithium battery sets positive and negative outputs. DC/DC converter output current and output power are regulated by the DC/DC converter main controller via CAN bus. So the fuel cell output power is regulated. Different fuel cell output power and motor input power proportional coefficient is adopted according to different lithium battery sets SOC (state of charge). The power distribution algorithm between fuel cell and Lithium battery sets is validated in tests.


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