Thermo electric generator module in driving the vehicle and monitoring using IoT

Praveena, B.; Sowmiya, A.; Logeshwari, P.; Kowshalya, G.A.; Sonia, B.M.; Kavipriya, R.K.

doi:10.1109/icisc.2018.8398914

Cited by 6 publications

(5 citation statements)

References 17 publications

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“…The Seeback effect is due to the difference in temperature between the two thermoelectric plates resulting in an output voltage at these two junctions. The equation of this Seeback effect or coefficient is given as (4).…”

Section: Figure 2 Concept Of Thermoelectric Generatorsmentioning

confidence: 99%

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Investigation of temperature gradient between ambient air and soil to power up wireless sensor network device using a thermoelectric generator

2022

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Section: Figure 2 Concept Of Thermoelectric Generatorsmentioning

confidence: 99%

“…Generally, WSN and IoT device is a controlled application to collect data from various sensors. Then this data information will be sent over the Internet to connect the virtual and real worlds [1]- [4]. This data can be processed according to the needs of the application.…”

Section: Introductionmentioning

confidence: 99%

Investigation of temperature gradient between ambient air and soil to power up wireless sensor network device using a thermoelectric generator

2022

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“…Datta et al [20] TXL-287-03Z LED lights for signage, illumination of roadways Tahami et al [21] SP1848 LED traffic lights and wireless sensors Lan et al [22] GM250-127-28-10 Wireless sensor node Wang et al [23] Bi 2 Te 3 Temperature sensor Priya et al [24] TGM-127-1.4-2.5 Wearable biomedical IoT node Praveena et al [25] BhTe 3 , Sb 2 Te 3 IoT location and temperature sensors Seyoum et al [26] 926-1192-ND Temperature sensors and low power RF chips The presented paper provides and investigates a simulation of an environmentmonitoring IoT device powered by a TEG that produces energy through the temperature difference between air and soil. The TEG power source is connected to a boost converter, which links the generated power to the system's load, an energy storage unit (supercapacitor) and an embedded sensor (e.g., a temperature sensor to measure the temperature of an environment) that measures a certain parameter in the environment.…”

Section: Author Source Teg/teg Materials Purposementioning

confidence: 99%

“…Praveena et al [25] used a TEG module containing BhTe 3 and Sb 2 Te 3 to generate electrical energy from the heat dissipated by a vehicle's engine and exhaust silencer and subsequently powered IoT sensors. A DC/DC converter was used to boost the voltage to the required level since the initial produced voltage was insufficient for powering applications.…”

Section: Related Workmentioning

confidence: 99%

Environment-Monitoring IoT Devices Powered by a TEG Which Converts Thermal Flux between Air and Near-Surface Soil into Electrical Energy

Paterova

Prauzek

Konecny

et al. 2021

Sensors

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Energy harvesting has an essential role in the development of reliable devices for environmental wireless sensor networks (EWSN) in the Internet of Things (IoT), without considering the need to replace discharged batteries. Thermoelectric energy is a renewable energy source that can be exploited in order to efficiently charge a battery. The paper presents a simulation of an environment monitoring device powered by a thermoelectric generator (TEG) that harvests energy from the temperature difference between air and soil. The simulation represents a mathematical description of an EWSN, which consists of a sensor model powered by a DC/DC boost converter via a TEG and a load, which simulates data transmission, a control algorithm and data collection. The results section provides a detailed description of the harvested energy parameters and properties and their possibilities for use. The harvested energy allows supplying the load with an average power of 129.04 μW and maximum power of 752.27 μW. The first part of the results section examines the process of temperature differences and the daily amount of harvested energy. The second part of the results section provides a comprehensive analysis of various settings for the EWSN device’s operational period and sleep consumption. The study investigates the device’s number of operational cycles, quantity of energy used, discharge time, failures and overheads.

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“…Thermoelectric generator (TEG) devices are suitable for powering wearable biomedical IoT nodes [10], machine parameters, location or environmental sensors [11]. A combination of ambient energy sources can also be applied in hybrid energy harvesting systems, for example, piezoelectric transducers (PZT) and triboelectric nanogenerators (TENG), which are used to power autonomous wireless sensor nodes for data collection applications [12].…”

Section: Introductionmentioning

confidence: 99%

Thermoelectric energy harvesting for internet of things devices using machine learning: A review

Kucova,

Prauzek,

Konecny

et al. 2023

CAAI Trans on Intel Tech

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Initiatives to minimise battery use, address sustainability, and reduce regular maintenance have driven the challenge to use alternative power sources to supply energy to devices deployed in Internet of Things (IoT) networks. As a key pillar of fifth generation (5G) and beyond 5G networks,IoT is estimated to reach 42 billion devices by the year 2025. Thermoelectric generators (TEGs) are solid state energy harvesters which reliably and renewably convert thermal energy into electrical energy. These devices are able to recover lost thermal energy, produce energy in extreme environments, generate electric power in remote areas, and power micro‐sensors. Applying the state of the art, the authorspresent a comprehensive review of machine learning (ML) approaches applied in combination with TEG‐powered IoT devices to manage and predict available energy. The application areas of TEG‐driven IoT devices that exploit as a heat source the temperature differences found in the environment, biological structures, machines, and other technologies are summarised. Based on detailed research of the state of the art in TEG‐powered devices, the authors investigated the research challenges, applied algorithms and application areas of this technology. The aims of the research were to devise new energy prediction and energy management systems based on ML methods, create supervised algorithms which better estimate incoming energy, and develop unsupervised and semi‐supervised approaches which provide adaptive and dynamic operation. The review results indicate that TEGs are a suitable energy harvesting technology for low‐power applications through their scalability, usability in ubiquitous temperature difference scenarios, and long operating lifetime. However, TEGs also have low energy efficiency (around 10%) and require a relatively constant heat source.

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Thermo electric generator module in driving the vehicle and monitoring using IoT

Cited by 6 publications

References 17 publications

Investigation of temperature gradient between ambient air and soil to power up wireless sensor network device using a thermoelectric generator

Investigation of temperature gradient between ambient air and soil to power up wireless sensor network device using a thermoelectric generator

Environment-Monitoring IoT Devices Powered by a TEG Which Converts Thermal Flux between Air and Near-Surface Soil into Electrical Energy

Thermoelectric energy harvesting for internet of things devices using machine learning: A review

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