A survey on ambient energy sources and harvesting methods for structural health monitoring applications

Cao, Shixun; Li, Jianqing

doi:10.1177/1687814017696210

Cited by 59 publications

(38 citation statements)

References 76 publications

(94 reference statements)

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“…3(b). We also note that producing 2.2 W/m 2 at night from an environmental source outperforms thermal energy harvesting from human body, as well as energy from radio frequency, and is comparable with other small-scale ambient energy harvesting techniques such as wind [41][42][43]. The current configuration in Fig.…”

Section: Feasible Optimal Design Of High-performance Nighttime Thermomentioning

confidence: 58%

Maximal nighttime electrical power generation via optimal radiative cooling

Lu¹,

Li²,

Jin³

et al. 2020

Opt. Express

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We present a systematic optimization of nighttime thermoelectric power generation system utilizing radiative cooling. We show that an electrical power density > 2 W/m 2 , two orders of magnitude higher than the previously reported experimental result, is achievable using existing technologies. This system combines radiative cooling and thermoelectric power generation and operates at night when solar energy harvesting is unavailable. The thermoelectric power generator (TEG) itself covers less than 1 percent of the system footprint area when achieving this optimal power generation, showing economic feasibility. We study the influence of emissivity spectra, thermal convection, thermoelectric figure of merit and the area ratio between the TEG and the radiative cooler on the power generation performance. We optimize the thermal radiation emitter attached to the cold side and propose practical material implementation. The importance of the optimal emitter is elucidated by the gain of 153% in power density compared to regular blackbody emitters.

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Section: Feasible Optimal Design Of High-performance Nighttime Thermomentioning

confidence: 58%

Maximal nighttime electrical power generation via optimal radiative cooling

Lu¹,

Li²,

Jin³

et al. 2020

Opt. Express

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“…In this case, the two-ray ground model gives us a more practical equation for calculating the RF received power. The equation is as [20], [69].…”

Section: B Energy Harvesting (Eh)mentioning

confidence: 99%

A Survey on Simultaneous Wireless Information and Power Transfer With Cooperative Relay and Future Challenges

et al. 2019

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The integration of simultaneous wireless information and power transfer (SWIPT) and cooperative relay (CoR) techniques has evolved as a new phenomenon for the next-generation wireless communication system. CoR is used to get energy and spectral efficient network and to solve the issues of fading, path loss, shadowing, and smaller coverage area. Relay nodes are battery-constrained or battery-less devices. They need some charging systems externally as replacing or recharging of their batteries sometimes which are not feasible and convenient. Energy harvesting (EH) is the most cost-effective, suitable, and safer solutions to power up these relays. Among various types of the EH, SWIPT is the most prominent technique as it provides spectral efficiency by delivering energy and information to the relays at the same time. This paper reviews the combination of CoR and SWIPT. From basic to advanced architectures, applications and taxonomies of CoR and SWIPT are presented, various forms of resource allocation and relay selection algorithms are covered. The usage of CoR and SWIPT in the fifth-generation wireless networks is discussed. This paper focuses on the integral aspects of the CoR and SWIPT to other next-generation wireless communication systems and techniques such as multiple-input-multiple-output, wireless sensor network, cognitive radio, vehicular ad hoc network, non-orthogonal multiple access, beamforming technique, and the Internet of Things. Some open issues and future directions and challenges are given in this paper.

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“…The autonomy of SHM systems has also been addressed through the possible ways in which they obtain energy [22]. Other works have examined the use of mechanical energy from different sources, such as thermal energy, wind energy, solar energy, electromagnetic sources, or hlRF antennas [23].…”

Section: Introductionmentioning

confidence: 99%

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

Burgos

Vargas

Pedraza

et al. 2020

Sensors

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The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven algorithms, which are usually associated with the collection of data using sensors. Data are subsequently processed and analyzed. The second approach uses models to analyze information about the structure. In the latter case, the overall performance of the approach is associated with the accuracy of the model and the information that is used to define it. Although both approaches are widely used, data-driven algorithms are preferred in most cases because they afford the ability to analyze data acquired from sensors and to provide a real-time solution for decision making; however, these approaches involve high-performance processors due to the high computational cost. As a contribution to the researchers working with data-driven algorithms and applications, this work presents a brief review of data-driven algorithms for damage identification in structural health-monitoring applications. This review covers damage detection, localization, classification, extension, and prognosis, as well as the development of smart structures. The literature is systematically reviewed according to the natural steps of a structural health-monitoring system. This review also includes information on the types of sensors used as well as on the development of data-driven algorithms for damage identification.

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A survey on ambient energy sources and harvesting methods for structural health monitoring applications

Cited by 59 publications

References 76 publications

Maximal nighttime electrical power generation via optimal radiative cooling

Maximal nighttime electrical power generation via optimal radiative cooling

A Survey on Simultaneous Wireless Information and Power Transfer With Cooperative Relay and Future Challenges

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

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