Design and Implementation of Smart Energy Management System for Reducing Power Consumption Using ZigBee Wireless Communication Module

Park, Sunghoi; Choi, Myeong-in; Kang, Byeongkwan; Park, Sehyun

doi:10.1016/j.procs.2013.06.088

Cited by 32 publications

(15 citation statements)

References 10 publications

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“…According to our survey, we recognized that greatest power consumption in a typical wearable application occurs in the communications module, as demonstrated from Table 1. [ 54,55 ] Currently, power consumption in the signal processing unit has been reduced to below 100 µW, whereas power consumption in the wireless communication unit has been reduced to 3.2 mW. [ 56 ]…”

Section: Basic Building Blocks Of a Self‐powered Wearable Devicementioning

confidence: 99%

Piezoelectric energy harvesting for self‐powered wearable upper limb applications

et al. 2021

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Wearable devices can be used for monitoring vital physical and physiological signs remotely, as well as for interacting with computers. Widespread adoption of wearables is somewhat hindered by the duration time they can be used without re‐recharging. To ensure uninterrupted operation, these devices need a constant and battery‐less energy supply. Scavenging energy from the wearable's surroundings is, therefore, an essential step towards achieving genuinely autonomous and self‐powered devices. While energy harvesting technologies may not completely eliminate the battery storage unit, they can ensure a maximum duration of use. Piezoelectric energy harvesting is a promising and efficient technique to generate electricity for powering wearable devices in response to body movements. Consequently, we systematically survey the range of technologies used for scavenging energy from the human body, with a particular focus on the upper‐limb area. According to our review and in comparison to other upper limb locations, highest power densities can be achieved from piezoelectric transducers located on the wrist. For short and fast battery charging needs, we therefore review the range of materials, architectures and devices used to scavenge energy from these upper‐limb areas. We provide comparisons as well as recommendations and possible future directions for harvesting energy using this promising technique.

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Section: Basic Building Blocks Of a Self‐powered Wearable Devicementioning

confidence: 99%

Piezoelectric energy harvesting for self‐powered wearable upper limb applications

et al. 2021

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“…In the domestic sector, products for occupancy-based appliance power management are available [65], but commercial applications in multi-occupancy spaces remain more complex. In application to electrical appliance control, some studies have focussed on local motion sensing to detect presence close to appliances [66], while others have used wearable Bluetooth tags to allow equipment reboot as owners approach [67]. Here, it was concluded that a more detailed situational context was required for reliable appliance control.…”

Section: Real-time Response To Occupancymentioning

confidence: 99%

A review of occupant-centric building control strategies to reduce building energy use

Naylor

Gillott

Lau

2018

Renewable and Sustainable Energy Reviews

147

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Building Energy Management is identified as a key part of the move towards localised energy generation and control. The significant discrepancy between building energy use as designed and during actual operation shows a need to evaluate the relationship between building occupants and energy requirements. The need to better account for the influence of occupants on building energy use has been established through post-occupancy studies, highlighting the characteristics needed for more successful building control systems. This paper provides an overview of current building control systems technology and discusses existing academic research into more advanced occupant-centric controls. The potential for application of various methods is compared. It is found that study into occupant-centred control systems covers a wide array of approaches, ranging from simple presence-based switching of lighting systems to full model predictive control. Studies suggest an optimum point balancing the complexity of a system against its potential for saving energy.

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“…Based on this data, energy consumption would be lower based on this data, energy would be saved because the sensor nodes that are not used in the certain period of time would be deactivated for 2 hours after 10 days. Park et al [28] propose a power management system, called Smart Energy Management System (SEMS) by using the ZigBee-based communications. SEMS is an energy saving method that a power socket would be turned on by using motion sensors when a user operates equipment in the vicinity the socket.…”

Section: Case Studiesmentioning

confidence: 99%

Convergence Research Directions in Cognitive Sensor Networks for Elderly Housing Design

Suh

Kim

Chung

2015

International Journal of Distributed Sensor Networks

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As part of resolving the issue related to super-aging society, various information systems for the elderly care have been developed utilizing cognitive sensor networks. However, many sensor network-based systems cognizing radios, resources, environments, and so forth are not practically feasible and useful for the elderly themselves. Therefore, this paper tries to propose novel research directions for designing smart residential environment for the elderly in terms of converging information technologies including cognitive sensor networks and architectural design. In this paper, we clarify the definition of smart home from the literatures and briefly surveys cognitive sensor network-based systems for smart elderly housing. After that, this paper proposes research directions for cognitive wireless sensor networks not only for the elderly smart home services, but also for cooperating with architecture technologies. The proposed directions are to utilize cognitive radio technologies, to classify sensor network technologies according to the types of the elderly, to expand sensor networks services for the elderly housing to the wider area such as blocking unnecessary energy loss, to embed sensor network modules into BIM system, and to research sensor networks fit to modular construction.

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Design and Implementation of Smart Energy Management System for Reducing Power Consumption Using ZigBee Wireless Communication Module

Cited by 32 publications

References 10 publications

Piezoelectric energy harvesting for self‐powered wearable upper limb applications

Piezoelectric energy harvesting for self‐powered wearable upper limb applications

A review of occupant-centric building control strategies to reduce building energy use

Convergence Research Directions in Cognitive Sensor Networks for Elderly Housing Design

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