2019 Vol. 17, No. 4

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vol. 17, no. 4, Contents
2019, 17(4): 1-1.
Guest Editorial: Special Section on Energy-Efficient Technologies—Crowd Energy Applications
Stephanie Teufel
2019, 17(4): 289-290. doi: 10.1016/j.jnlest.2020.100008
Receiver Power Allocation and Transmitter Power Control Analysis for Multiple-Receiver Wireless Power Transfer Systems
Zhi-Hao Guo, Shi-Er Dong
2019, 17(4): 291-299. doi: 10.1016/j.jnlest.2020.100009
As different power has its own receivers, this paper analyzes and designs a multiple-receiver wireless power transfer (WPT) system systematically. The equivalent circuit model of the system is established to analyze the key parameters including transmitter power, receiver power, transmission efficiency, and each receiver power allocation. A control circuit is proposed to achieve the maximum transmission efficiency and transmitter power control and arbitrary receiver power allocation ratios for different receivers. Through the proposed control circuit, receivers with different loads can allocate appropriate power according to its power demand, the transmitter power and system efficiency do not vary with the change of the number of receivers. Finally, this control circuit is validated using a 130-kHz WPT system with three receivers whose power received is 3:10:12, and the overall system efficiency can reach as high as 55.5%.
Technical Investigation on V2G, S2V, and V2I for Next Generation Smart City Planning
MD. Shahrukh Adnan Khan, Kazi Mahtab Kadir, Khandaker Sultan Mahmood, Md. Ibrahim Ibne Alam, Ainun Kamal, Md. Mamoon Al Bashir
2019, 17(4): 300-316. doi: 10.1016/j.jnlest.2020.100010
The paper investigates a few of the major areas of the next generation technological advancement, “smart city planning concept”. The areas that the paper focuses are vehicle to grid (V2G), sun to vehicle (S2V), and vehicle to infrastructure (V2I). For the bi-directional crowd energy single entity concept, V2G and building to grid (B2G) are the primary parts of distributed renewable generation (DRG) under smart living. This research includes an in-depth overview of this three major areas. Next, the research conducts a case analysis of V2G, S2V, and V2I along with their possible limitations in order to find out the novel solutions for future development both for academia and industry levels. Lastly, few possible solutions have been proposed to minimize the limitations and to develop the existing system for future expansion.
Blockchain Energy: Blockchain in Future Energy Systems
Bernd Teufel, Anton Sentic, Mathias Barmet
2019, 17(4): 317-331. doi: 10.1016/j.jnlest.2020.100011
The ongoing, in-depth transformation of the electricity sector towards increased use of alternative, renewable energy sources extends beyond a simple decentralisation drive in the electricity market. The transformation process is characterised by the interplay of old and new technologies from the energy sector as well as structural coupling with other sectors, such as the information and communications technology (ICT), enabling the technology transfer as well as market entry by information technology (IT) actors. Blockchain-based technologies have the potential to play a key role in this transition by offering decentralised interfaces and systems as well as an alternative approach to the current organisation form of the energy market. This paper discusses the applicability and prospects for blockchain-based technologies in the energy sector, which are described using the term “blockchain energy”. For the purposes of this study, blockchain energy encompasses all socio-technical and organisational configurations in the energy sector based on the utilisation of the blockchain principle for energy trading, information storage, and/or increased transparency of energy flows and energy services. In the following chapters, the authors present and discuss the current transformation in the electricity market, followed by a review of the different utilisation possibilities for blockchain technologies in the energy sector and a discussion of the barriers and potential for blockchain energy using a transition studies perspective. Finally, the opportunities and risks of blockchain energy are discussed.
IoT-Solar Energy Powered Smart Farm Irrigation System
A. R. Al-Ali, Ahmad Al Nabulsi, Shayok Mukhopadhyay, Mohammad Shihab Awal, Sheehan Fernandes, Khalil Ailabouni
2019, 17(4): 332-347. doi: 10.1016/j.jnlest.2020.100017
As the Internet of things (IoT) technology is evolving, distributed solar energy resources can be operated, monitored, and controlled remotely. The design of an IoT based solar energy system for smart irrigation is essential for regions around the world, which face water scarcity and power shortage. Thus, such a system is designed in this paper. The proposed system utilizes a single board system-on-a-chip controller (the controller hereafter), which has built-in WiFi connectivity, and connections to a solar cell to provide the required operating power. The controller reads the field soil moisture, humidity, and temperature sensors, and outputs appropriate actuation command signals to operate irrigation pumps. The controller also monitors the underground water level, which is essential to prevent the pump motors from burning due to the level in the water well. The proposed system has three modes of operations, i.e. the local control mode, mobile monitoring-control mode, and fuzzy logic-based control mode. For the purpose of the proposed system validation, a prototype was designed, built, and tested.
Future Hybrid of Photovoltaic and Fuel Cell for Langkawi SkyCab
Siti Maherah bt Hussin, Zainal Salam, Norzanah Rosmin, Md Pauzi Abdullah, Dalila Mat Said, Madihah binti Md Rasid
2019, 17(4): 348-356. doi: 10.1016/j.jnlest.2020.100016
Langkawi SkyCab has the highest energy demand in Langkawi Island and the demand keeps increasing year by year. This study proposed alternatives energy of a hybrid photovoltaic (PV) and fuel cell system for the SkyCab’s operation. The best sizing and configurations were chosen based on Homer simulation software. A comparative study was done between a conventional system and other hybrid combinations. The results revealed that the proposed system had reduced the cost as well as CO2 emission almost by 39% and 79%, respectively. The hybrid PV and fuel cell system is aligned with the Malaysian government’s goals of reducing carbon emissions 40% by the year 2030.
Toward the Energy Efficiency of Resource Allocation Algorithms for OFDMA Downlink MIMO Systems
Wei-Chiang Wu
2019, 17(4): 357-370. doi: 10.1016/j.jnlest.2020.100007
The problem of the simultaneous multi-user resource allocation algorithm in orthogonal frequency division multiple access (OFDMA) based systems has recently attracted significant interest. However, most studies focus on maximizing the system throughput and spectral efficiency. As the green radio is essential in 5G and future networks, the energy efficiency becomes the major concern. In this paper, we develop four resource allocation schemes in the downlink OFDMA network and the main focus is on analyzing the energy efficiency of these schemes. Specifically, we employ the advanced multi-antenna technology in a multiple input-multiple output (MIMO) system. The first scheme is based on transmit spatial diversity (TSD), in which the vector channel with the highest gain between the base station (BTS) and specific antenna at the remote terminal (RT) is chosen for transmission. The second scheme further employs spatial multiplexing on the MIMO system to enhance the throughput. The space-division multiple-access (SDMA) scheme assigns single subcarrier simultaneously to RTs with pairwise “nearly orthogonal” spatial signatures. In the fourth scheme, we propose to design the transmit beamformers based on the zero-forcing (ZF) criterion such that the multi-user interference (MUI) is completely removed. We analyze the tradeoff between the throughput and power consumption and compare the performance of these schemes in terms of the energy efficiency.
Image Restoration Using Hybrid Features Improvement on Morphological Component Analysis
Der-Chang Tseng, Ru-Yin Wei, Ching-Ta Lu, Ling-Ling Wang
2019, 17(4): 371-381. doi: 10.1016/j.jnlest.2020.100014
Images are generally corrupted by impulse noise during acquisition and transmission. Noise deteriorates the quality of images. To remove corruption noise, we propose a hybrid approach to restoring a random noise-corrupted image, including a block matching 3D (BM3D) method, an adaptive non-local mean (ANLM) scheme, and the K-singular value decomposition (K-SVD) algorithm. In the proposed method, we employ the morphological component analysis (MCA) to decompose an image into the texture, structure, and edge parts. Then, the BM3D method, ANLM scheme, and K-SVD algorithm are utilized to eliminate noise in the texture, structure, and edge parts of the image, respectively. Experimental results show that the proposed approach can effectively remove interference random noise in different parts; meanwhile, the deteriorated image is able to be reconstructed well.
Journal of Electronic Science and Technology Information for Authors
2019, 17(4): 382-382.
Call for Papers
2019, 17(4): 383-383.
Call for Papers
2019, 17(4): 384-384.