Underwater hybrid energy harvesting based on TENG-MTEG for self-powered marine mammal condition monitoring system

Liu, Changxin; Qu, Guanghao; Shan, Baichuan; Aranda, Rubi; Chen, Nanxi; Li, Huaan; Zhou, Zhenghui; Yu, Tao; Wang, Chengfa; Mi, Jianchun; Xu, Minyi

doi:10.1016/j.mtsust.2022.100301

Cited by 13 publications

(8 citation statements)

References 40 publications

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“…[241,242] In modern days, data security has become a major factor. [243] Therefore, much more robust, secured, and well-programmed TENG devices with stronger connectivity are expected to be enlightened in the TENG devices going forward.…”

Section: Discussionmentioning

confidence: 99%

Triboelectric Nanogenerators for Marine Applications: Recent Advances in Energy Harvesting, Monitoring, and Self‐Powered Equipment

Dip,

Arin,

Anik

et al. 2023

Adv Materials Technologies

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Progress in advanced electronics has initiated the investigation of new ways to develop and apply self‐powered smart devices. The concern for meteoric exhausting non‐renewable energy sources has spurred such endeavors. Even so, using external power sources like batteries is problematic due to limited capacity, maintenance inconvenience, replacement, and environmental hazards. Triboelectric nanogenerators (TENGs) capable of converting various forms of mechanical energies into electrical output are gaining popularity. The marine and coastal areas are abundant sources of salvable mechanical energy. TENGs can convert lower‐frequency, ununiform, multidirectional energies into usable electricity. This can solve the device‐powering problem and can generate diverse signals to act as monitoring or sensing platforms themselves. In this review, three main TENG‐based/TENG‐driven application themes are addressed, i.e., energy harvesting, marine environment monitoring, and self‐powered equipment for marine‐related activities. It attempts to emphasize that various design features of TENGs can influence output performance; TENGs can power devices and monitor ocean parameters; TENGs‐integrated modern IoT networking systems can transmit real‐time data. Overall, this review encompasses the fundamental working mechanisms, structure designs, and practical implementation scenarios of recently developed devices in diverse marine applications. Finally, the existing challenges and potential future directions for TENG‐based marine self‐powered electronic systems are discussed.

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Section: Discussionmentioning

confidence: 99%

Triboelectric Nanogenerators for Marine Applications: Recent Advances in Energy Harvesting, Monitoring, and Self‐Powered Equipment

Dip,

Arin,

Anik

et al. 2023

Adv Materials Technologies

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“…Their results showed that each biomass fuel had its own combustion characteristics that allowed the TEG to generate a high voltage at specific values. It is also very interesting to comment on the work of [16], in which a self-powered marine mammal condition monitoring system was proposed based on the hybrid energy-harvesting mode of a triboelectric nanogenerator (TENG) and a thermoelectric microgenerator (MTEG). Table 1 below shows some very interesting works on the design of TEGs that are related to the one presented in this article.…”

Section: Related Workmentioning

confidence: 99%

Design of Thermoelectric Generators and Maximum Electrical Power Using Reduced Variables and Machine Learning Approaches

Vargas-Almeida,

Olivares-Robles,

Andrade-Vallejo

2023

Energies

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This work aims to contribute to studies on the geometric optimization of thermoelectric generators (TEGs) through a combination of the reduced variables technique and supervised machine learning. The architecture of the thermoelectric generators studied, one conventional and the other segmented, was determined by calculating the cross-sectional area and length of the legs, and applying reduced variables approximation. With the help of a supervised machine learning algorithm, the values of the thermoelectric properties were predicted, as were those of the maximum electrical power for the other temperature values. This characteristic was an advantage that allowed us to obtain approximate results for the electrical power, adjusting the design of the TEGs when experimental values were not known. The proposed method also made it possible to determine the optimal values of various parameters of the legs, which were the ratio of the cross-sectional areas (Ap/An), the length of the legs (l), and the space between the legs (H). Aspects such as temperature-dependent thermoelectric properties (Seebeck coefficient, electrical resistivity, and thermal conductivity) and the metallic bridge that connects the legs were considered in the calculations for the design of the TEGs, obtaining more realistic models. In the training phase, the algorithm received the parameter (H) and an operating temperature value as input data, to predict the corresponding value of the maximum power produced. This calculation was performed for conventional and segmented systems. Recent advances have opened up the possibility of applying an algorithm for designing conventional and segmented thermocouples based on the reduced variables approach and incorporating a supervised machine learning computational technique.

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“…Many current energy harvesting modules are not applicable or reliable in aquatic or human body environments. To increase the durability and efficiency of self-powered sensors (more than 80%) and expand their applications, especially underwater self-powered sensors, the integration of several energy harvesting strategies into a single device has been proposed. − …”

Section: Introductionmentioning

confidence: 99%

Advancements in Bio-inspired Self-Powered Wireless Sensors: Materials, Mechanisms, and Biomedical Applications

Farzin,

Naghib,

Rabiee

2024

ACS Biomater. Sci. Eng.

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The rapid maturation of smart city ecosystems is intimately linked to advances in the Internet of Things (IoT) and self-powered sensing technologies. Central to this evolution are battery-less sensors that are critical for applications such as continuous health monitoring through blood metabolites and vital signs, the recognition of human activity for behavioral analysis, and the operational enhancement of humanoid robots. The focus on biosensors that exploit the human body for energy-spanning wearable, attachable, and implantable variants has intensified, driven by their broad applicability in areas from underwater exploration to biomedical assays and earthquake monitoring. The heart of these sensors lies in their diverse energy harvesting mechanisms, including biofuel cells, and piezoelectric, triboelectric, and pyroelectric nanogenerators. Notwithstanding the wealth of research, the literature still lacks a holistic review that integrates the design challenges and implementation intricacies of such sensors. Our review seeks to fill this gap by thoroughly evaluating energy harvesting strategies from both material and structural perspectives and assessing their roles in powering an array of sensors for myriad uses. This exploration offers a comprehensive outlook on the state of self-powered sensing devices, tackling the nuances of their deployment and highlighting their potential to revolutionize data gathering in autonomous systems. The intent of this review is to chart the current landscape and future prospects, providing a pivotal reference point for ongoing research and innovation in selfpowered wireless sensing technologies.

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Underwater hybrid energy harvesting based on TENG-MTEG for self-powered marine mammal condition monitoring system

Cited by 13 publications

References 40 publications

Triboelectric Nanogenerators for Marine Applications: Recent Advances in Energy Harvesting, Monitoring, and Self‐Powered Equipment

Triboelectric Nanogenerators for Marine Applications: Recent Advances in Energy Harvesting, Monitoring, and Self‐Powered Equipment

Design of Thermoelectric Generators and Maximum Electrical Power Using Reduced Variables and Machine Learning Approaches

Advancements in Bio-inspired Self-Powered Wireless Sensors: Materials, Mechanisms, and Biomedical Applications

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