ArticleSensors (Basel, Switzerland)2021
Environment-Monitoring IoT Devices Powered by a TEG Which Converts Thermal Flux between Air and Near-Surface Soil into Electrical Energy.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A Multi-Hop Cluster Routing Algorithm for Wireless Sensor Networks Targeting Narrow Space Monitoring.Sensors (Basel, Switzerland) · 2026Article
- Materials Advances for Distributed Environmental Sensor Networks at Scale.Nature reviews. Materials · 2026Article
- Toward Field Deployment: Tackling the Energy Challenge in Environmental Sensors.Sensors (Basel, Switzerland) · 2025Review
- Principle and Applications of Thermoelectric Generators: A Review.Sensors (Basel, Switzerland) · 2025Review
- Powering Agriculture IoT Sensors Using Natural Temperature Differences Between Air and Soil: Measurement and Evaluation.Sensors (Basel, Switzerland) · 2024Article
- IoT Sensor Challenges for Geothermal Energy Installations Monitoring: A Survey.Sensors (Basel, Switzerland) · 2023Review
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Authors and funding
8 authors.
Funding
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Abstract
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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