Thermoelectric Power Generators: State-of-the-Art, Heat Recovery Method, and Challenges

Aridi, Rima; Faraj, Jalal; Ali, Samer; Lemenand, Thierry; Khaled, Mahmoud

doi:10.3390/electricity2030022

Cited by 40 publications

(20 citation statements)

References 151 publications

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“… Schematic diagram of thermoelectric materials employing solution-based methodologies. 68 Copyright Electricity 2021 , 2 , 359–386. …”

Section: Methods Of Synthesismentioning

confidence: 99%

Advances in Nanoparticle-Enhanced Thermoelectric Materials from Synthesis to Energy Harvesting: A Review

Hussain,

Algarni,

Rasool

et al. 2024

ACS Omega

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This comprehensive review analysis examines the domain of composite thermoelectric materials that integrate nanoparticles, providing a critical assessment of their methods for improving thermoelectric properties and the procedures used for their fabrication. This study examines several approaches to enhance power factor and lattice thermal conductivity, emphasizing the influence of secondary phases and structural alterations. This study investigates the impact of synthesis methods on the electrical characteristics of materials, with a particular focus on novel techniques such as electrodeposition onto carbon nanotubes. The acquired insights provide useful guidance for the creation of new thermoelectric materials. The review also compares and contrasts organic and inorganic thermoelectric materials, with a particular focus on the potential of inorganic materials in the context of waste heat recovery and power production within industries. This analysis highlights the role of inorganic materials in improving energy efficiency and promoting environmental sustainability.

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“… Schematic diagram of thermoelectric materials employing solution-based methodologies. 68 Copyright Electricity 2021 , 2 , 359–386. …”

Section: Methods Of Synthesismentioning

confidence: 99%

Advances in Nanoparticle-Enhanced Thermoelectric Materials from Synthesis to Energy Harvesting: A Review

Hussain,

Algarni,

Rasool

et al. 2024

ACS Omega

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“…The authors of other comprehensive reviews [17, 21, and 22] describe the principles, characteristics, and technologies of TEGs. Several reviews have examined the research trends and developments in TEG applications [18–20, 24, and 25]. The authors of ref.…”

Section: Review Methodologymentioning

confidence: 99%

“…Aridi et al [19] Theoretical background of TEGs and their implementation in heat recovery systems and power generation.…”

Section: Author Source Area Of Interest Contribution Limitationsmentioning

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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“…The escalating global energy demand, primarily fueled by fossil fuels, has led to environmental concerns and an urgent need for sustainable energy sources. The construction sector, responsible for a substantial portion of energy consumption, particularly heating and cooling systems, contributes significantly to global warming and CO2 emissions [1,2]. To address this, researchers are exploring alternatives like phase change materials (PCMs) to enhance energy efficiency [3,4].…”

Section: Introductionmentioning

confidence: 99%

Refining the Integration of Encapsulated Phase Change Materials in Building Envelopes

Aridi,

Yehya

2024

Preprint

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The demand for cooling of buildings is continuously growing due to global warming contributing to more global CO2 emissions. Escalating resource costs and climate change risks intensify the need for efficient cooling solutions. Phase change materials have been used in building envelopes to reduce the energy consumption. However, these materials are often costly, which creates a barrier for their implementation. Reducing the PCM quantities without compromising their behavior provides a substantial reduction to their overall payback period and increases their feasibility. This study aims to optimize the incorporation of encapsulated PCM in building envelopes by studying the effect of their distribution pattern within the walls. The simulations are done using 2D finite element method. The results indicate that PCM distribution has an important effect on the efficiency of the design and an optimal distribution can allow the reduction of PCM quantities in a wall. In the studied case, the lowest cooling load was found at 14% volumetric percentage of PCM rather than 30% if optimal distribution is used. This consequently have important implications on the need for geometrical optimization when it comes to encapsulated PCM systems.

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Thermoelectric Power Generators: State-of-the-Art, Heat Recovery Method, and Challenges

Cited by 40 publications

References 151 publications

Advances in Nanoparticle-Enhanced Thermoelectric Materials from Synthesis to Energy Harvesting: A Review

Advances in Nanoparticle-Enhanced Thermoelectric Materials from Synthesis to Energy Harvesting: A Review

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

Refining the Integration of Encapsulated Phase Change Materials in Building Envelopes

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