Materials, Energy, Water and Environmental Sciences

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Browsing Materials, Energy, Water and Environmental Sciences by Author "Ahn, Sung-Hoon"

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    Correction to: Arduino-based low-cost electrical load tracking system with a long-range mesh network
    (Springer, 2020) Wang, Xinlin; Ha, Bora; Manong, Frank; Jung, Woo-Kyun; Jande, Yusufu; Ahn, Sung-Hoon
    A system that combines the advantage of the long-range (LoRa) communication method and the structural characteristics of a mesh network for an LoRa mesh network-based wireless electrical load tracking system is proposed. The system demonstrates considerable potential in reducing data loss due to environmental factors in far-field wireless energy monitoring. The proposed system can automatically control the function of each node by confirming the data source and eventually adjust the system structure according to real-time monitoring data without manual intervention. To further improve the sustainability of the system in outdoor environments, a standby equipment is designed to automatically ensure the normal operation of the system when the hardware of the base station fails. Our system is based on the Arduino board, which lowers the production cost and provides a simple manufacturing process. After conducting a long-term monitoring of a near-field smart manufacturing process in South Korea and the far-field energy consumption of rural households in Tanzania, we have proven that the system can be implemented in most regions, neither confined to a specific geographic location nor limited by the development of local infrastructure. This system comprises a smart framework that improves the quality of energy monitoring. Finally, the proposed big-data-technology-based power supply policy offers a new approach for prolonging the power supply time of off-grid power plants, thereby providing a guideline for more rural areas with limited power sources to utilize uninterrupted electricity.
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    Low-cost far-field wireless electrical load monitoring system applied in an off-grid rural area of Tanzania
    (Elsevier Ltd., 2020-08) Wang, Xinlin; Ha, Bora; Lee, Gil-Yong; Kim, Hyungjung; Yu, Jongha; Rhee, Herb; Njau, Karoli; Jande, Yusufu; Ahn, Sung-Hoon
    Despite the rapid development of Internet of Things (IoT) technology, there is still a lack of practical wireless energy monitoring methods that can be implemented directly in rural areas with undeveloped infrastructure. To address this gap, this paper presents a novel far-field wireless electrical load monitoring system. By taking advantage of radio frequency (RF) technology, the system realizes one-point-to-multipoint and multichannel communication, thereby extending the effective communication distance of the system and improving its sustainability to the influence of the external environment. The design proposed in this study includes standby equipment to effectively ensure the normal operation of the system in the case of hardware malfunction. The proposed method can be implemented in most geographical regions, neither confined to specific geographic locations nor limited by the level of development of the local infrastructure. Moreover, the hardware of the proposed system is based on Arduino boards, resulting in a low-cost manufacturing process. This system has been applied in a rural area of Tanzania, with 46 households. This paper reports a 238 % increase in power consumption by the residents between the time of initial system deployment, when they had little access to electricity, and the time when accessibility became easy.