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Design hybridization system of TEG/PZT for power generation: Modelling and experiments

Abstract : Energy harvesting aims to feed portable or fix electrical appliances that can be communicated in order to make them energetically autonomous. This Self-powered is more envisageable as the new electronic technologies available are sober in energy. This study focuses on the generation of electrical energy based on the mechanical energy harvesting due to the application of a temperature gradient using piezoelectric materials. The choice and dimensions of the piezoelectric system have been optimized so as to maintain a high and constant temperature gradient which will lead to the maximum recovered energy. The optimizations of three aspects, coupling between the generator and the environment, energy conversion efficiency through the choice of materials and extraction of electrical energy have been realized. This method uses thermoelectric generators and sensitive heat that effects phase to change materials for training a piezoelectric patch with a quasi-static regime. The hybridization between these two systems makes it possible to produce micro-energies as well. Moreover, the implementation of intelligent energy management is characterized by the optimization of consumption profiles to increase the efficiency of exploitation of low resources by achieving a better temporal adaptation energy production-consumption. Experimental measurements of harvested power have been compared with the theoretical behavior predicted by the proposed hybrid system. A good agreement was observed between the two sets of data, which consequently shows the potential of proposed hybrid system to maximize the power harvested
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Contributor : Mylène Delrue Connect in order to contact the contributor
Submitted on : Tuesday, December 14, 2021 - 9:59:12 AM
Last modification on : Friday, January 21, 2022 - 3:33:43 AM




Mounir Meddad, Adil Eddiai, Rida Farhan, Seddik Benahadouga, M’hammed Mazroui, et al.. Design hybridization system of TEG/PZT for power generation: Modelling and experiments. Superlattices and Microstructures, Elsevier, 2019, 127, pp.86-92. ⟨10.1016/j.spmi.2018.03.007⟩. ⟨hal-03478758⟩



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