Optimized Design of Thermoelectric Energy Harvesting Systems for Waste Heat Recovery from Exhaust Pipes

Nesarajah, Marco; Frey, Georg

doi:10.3390/app7060634

Cited by 18 publications

(14 citation statements)

References 22 publications

(16 reference statements)

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“…There are a lot of ambient vibrations such as human and machine motions, wind or seismic actions in the environment, see O'Donnell [15], Zulueta et al [14] and Kurt et al [16]. In the work of Nesarajah et al [17], a new thermoelectric energy harvesting system was developed to convert the waste heat from exhaust pipes. The response of a piezoelectric harvester in pendulum shape was investigated by Uzun et al [18] under a periodic magnetic field both theoretically and experimentally.…”

Section: Introductionmentioning

confidence: 99%

Power Control Optimization of an Underwater Piezoelectric Energy Harvester

et al. 2018

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Abstract:Over the past few years, it has been established that vibration energy harvesters with intentionally designed components can be used for frequency bandwidth enhancement under excitation for sufficiently high vibration amplitudes. Pipelines are often necessary means of transporting important resources such as water, gas, and oil. A self-powered wireless sensor network could be a sustainable alternative for in-pipe monitoring applications. A new control algorithm has been developed and implemented into an underwater energy harvester. Firstly, a computational study of a piezoelectric energy harvester for underwater applications has been studied for using the kinetic energy of water flow at four different Reynolds numbers Re = 3000, 6000, 9000, and 12,000. The device consists of a piezoelectric beam assembled to an oscillating cylinder inside the water of pipes from 2 to 5 inches in diameter. Therefore, unsteady simulations have been performed to study the dynamic forces under different water speeds. Secondly, a new control law strategy based on the computational results has been developed to extract as much energy as possible from the energy harvester. The results show that the harvester can efficiently extract the power from the kinetic energy of the fluid. The maximum power output is 996.25 µW and corresponds to the case with Re = 12,000.

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Section: Introductionmentioning

confidence: 99%

Power Control Optimization of an Underwater Piezoelectric Energy Harvester

et al. 2018

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“…8 can be rearranged in order to get better insight into quantitative changes of the load voltage under forced convection, relative to free convection, i.e. : (8) where and are load voltages obtained for forced and free convection ( m/s), respectively. As illustrated in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Such features are particularly desirable for nodes used in systems for environmental monitoring and protection. Among a variety of applications, energy harvesters are employed in the monitoring of air [2], water [3], soil [4,5], wildlife [6], exhaust gas pipes [7,8], etc.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Ambient Conditions on the Performance of the Thermoelectric Wireless Sensor Network Node

Milić

Prijić

Vračar

et al. 2019

FU Work Liv Env Prot

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This paper considers the effects of the ambient temperature and unducted air flow on the voltage generated by a thermoelectric generator used to power wireless sensor network node. Structure of the node is simulated using a fully coupled numerical electro-thermal model with convective correlations. Results show that the effect of the ambient temperature is negligible as long as the temperature difference between the hot surface of the node and the ambient is maintained. For natural convection, voltage dependence on the temperature difference can be determined from the open circuit conditions and this can be used to approximate the load conditions. For forced convection, an increase rate of the generated voltage is governed by the thermal resistance of the heatsink and characteristic parameters of the thermoelectric generator.

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“…Another important energy recovery technique exploits the known Seebeck effect, for which a thermoelectric material subjected to a thermal gradient generates a potential difference V between the hot and cold ends, proportional to the temperature difference ∆T times the Seebeck coefficient S [29,30]. Therefore, this method allows for recovering electricity from heat.…”

Section: Introductionmentioning

confidence: 99%

SPICE Model Identification Technique of a Cheap Thermoelectric Cell Applied to DC/DC Design with MPPT Algorithm for Low-Cost, Low-Power Energy Harvesting

Leoni

Pantoli

2019

Applied Sciences

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In this work, an identification technique of a simple, measurements-based SPICE (Simulation Program with Integrated Circuit Emphasis) model is presented for small low-cost Peltier cells used in thermoelectric generator (TEG) mode for low-temperature differences. The collection of electric energy from thermal sources is an alternative solution of great interests to the problem of energy supply for low-power portable devices. However, materials with thermoelectric characteristics specifically designed for this purpose are generally expensive and therefore often not usable for low cost and low power applications. For these reasons, in this paper, we studied the possibility of exploiting small Peltier cells in TEG mode and a method to maximize the efficiency of these objects in energy conversion and storage since they are economical, easy to use, and available with different characteristics on the market. The identification of an accurate model is a key aspect for the design of the DC/DC converter, in order to guarantee maximum efficiency. For this purpose, the SPICE model has been validated and used in a design example of a DC/DC converter with maximum power point tracking (MPPT) algorithm with fractional open-circuit voltage. The results showed that it is possible to obtain a maximum power of 309 µW with a Peltier cell 2 × 2 cm at a ΔT of 16 °C and the designed SPICE DC/DC converter performance proved the improvement and optimization value given by the TEG model identification.

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Optimized Design of Thermoelectric Energy Harvesting Systems for Waste Heat Recovery from Exhaust Pipes

Cited by 18 publications

References 22 publications

Power Control Optimization of an Underwater Piezoelectric Energy Harvester

Power Control Optimization of an Underwater Piezoelectric Energy Harvester

The Influence of Ambient Conditions on the Performance of the Thermoelectric Wireless Sensor Network Node

SPICE Model Identification Technique of a Cheap Thermoelectric Cell Applied to DC/DC Design with MPPT Algorithm for Low-Cost, Low-Power Energy Harvesting

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