A solar powered 24 GHz RFID sensor node for industrial applications

Author(s):  
Bernd Geck ◽  
Quang Huy Dao ◽  
Bernard Luers
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 86168-86176 ◽  
Author(s):  
Luqiang Shi ◽  
Yigang He ◽  
Bing Li ◽  
Tongtong Cheng ◽  
Yuan Huang ◽  
...  

Author(s):  
T. Ganesan ◽  
Pandian Vasant ◽  
I. Elamvazuthi

Design optimization has been commonly practiced for many years across various engineering disciplines. Optimization per se is becoming a crucial element in industrial applications involving sustainable alternative energy systems. During the design of such systems, the engineer/decision maker would often encounter noise factors (e.g. solar insolation and ambient temperature fluctuations) when their system interacts with the environment. Therefore, successful modelling and optimization procedures would require a framework that encompasses all these uncertainty features and solves the problem at hand with reasonable accuracy. In this chapter, the sizing and design optimization of the solar powered irrigation system was considered. This problem is multivariate, noisy, nonlinear and multiobjective. This design problem was tackled by first using the Fuzzy Type II approach to model the noise factors. Consequently, the Bacterial Foraging Algorithm (BFA) (in the context of a weighted sum framework) was employed to solve this multiobjective fuzzy design problem. This method was then used to construct the approximate Pareto frontier as well as to identify the best solution option in a fuzzy setting. Comprehensive analyses and discussions were performed on the generated numerical results with respect to the implemented solution methods.


2021 ◽  
Author(s):  
Upasana Sapra ◽  
Aiswarya Sakthivel ◽  
X. Shobana Macdalin ◽  
S. Siva Ranjini

Electrical energy consumption is alarmingly rising, but the availability of conventional sources is limited. To meet the increasing demand; the implementation of non-conventional sources is the need of the hour. Solar energy is the most sustainable alternative for power generation among non-conventional sources families. Resonant inverters are used in low-power high-frequency induction heating appliances. Full-bridge resonant inverters are most commonly used to convert solar received power into the suitable form required for high-frequency application device by providing maximum power to the load at resonant frequency The aim of the paper is to analyze the working of the resonant inverter by taking the input supply from the solar panel and converting the obtained dc input to ac input through the resonant inverter. This obtained output is supplied for the high-frequency industrial application which mainly includes Induction frequency heating Applications. Induction heating is one of the techniques used in casting foundry for the treatment of metals. It involves the heat treatment of the metals namely annealing, hardening tempering method. goes here.


Author(s):  
Richa Adlakha ◽  
Anita Khosla ◽  
Dheeraj Joshi

<p>Due to the advancement in the semiconductor technologies, DC-DC converters are gaining the importance in several industrial applications. They form the core of the switched mode power supplies which are used in real time applications. The performance of the conventional converter is affected by the parasitic elements and their voltage gain is also limited. To improve upon this, Super lift converters converter were developed by Luo. Voltage lift technique increases the voltage in geometric progression .These super lift converter are classified as positive output and negative output which are further classified into different series. In this paper series of Positive output Super lift converter topologies are analyzed. The proportional –integral controller is employed to theses converter in the paper. These converters boost the voltage up to three times the input voltage and gaining importance in Electric vehicles and Solar powered applications. The simulations are carried in PSIM.</p>


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