Fossil Fuel is one of the main pillar of resources in current society. Seventy-four percent of the total global consumption depends on it, including coal, petroleum etc. Nevertheless, a great number of countries start to focus more on renewable energy due to the current severe contamination and low efficiency. Development is restrained by many factors, such as low efficiency of light conservation and large cost of system establishment. Moreover, the general public usually expects much more from solar energy applications. Applying to this market demand, the invention of energy-saving cars, which utilise solar energy has become a key resource direction. Through design of optimal angle modelling of silicon photocells, Drag Coefficient and MPPT (Maximum Power Point Tracking), a new solution of utilising highly efficient solar energy automobiles is obtained.
With the development of our society, electronic devices, such as laptops, tablets and mobile phones become increasingly widespread. An accompanying problem of this is the increase of theft aimed at these devices. Even though the proper administration and policy plays an important role to mitigate this crime, they still occur ubiquitously. Therefore, for the sake of eliminating this crime, not only the aspects of administration, policy and legislation should be enhanced, but also the corresponding techniques need to be reinforced. In fact, technology plays a dominant role in preventing crimes. In this paper, a conceptual design of an anti-theft alarm system based on antenna array and wave transmission models will be introduced piece by piece. By implementing a series of electronic components embedded into a protecting wireless network, the location of the protected object can be detected in real time. Once a theft occurs, the computation center will instantaneously obtain the data related to this behavior and assess its authorization and then determine to report or ignore it. This alarm system is specifically suitable for use in public places, for example, libraries, cafes, and holiday villages.
The transformer is a pivotal device in substations, and its operational state is highly correlated to the security and reliability of a power system. Especially with the development of smart grid, the faults in transformers would have a severe negative impact, not only on the local power network, but also on the holistic power system and power grid. In this paper, we predominantly investigate the operating state diagnosis model of the oil-immersed transformer. Specifically, the common faults and their corresponding characteristics have been concluded. By the characterization of each fault, we can use the fuzzy synthetic evaluation model to diagnose whether a fault occurs and estimate its severity level as well as damage.
The ideal multifunctional smart grid electricity use monitor must be able to receive data from substations via a communication network and then process the information. To achieve this goal efficiently, a LabVIEW program has been written to analyse the received data and present it graphically for users. The research outcomes of this paper include an optimised technical design of a smart grid electricity use monitor and a more efficient algorithm for data collection, processing and presentation for professional users. The benefit of having such an efficient design is that users can process and utilise data among terminals and networks in an appropriate and effective manner, and thus increase the utilisation rate of electrical power and quickly detect power network faults. In addition, the optimised data processing and forecasting algorithms employed by this electricity monitor will guarantee a more precise data analysis and will result in an optimised decision-making process at the generation terminal.
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