Analysis and Optimization of a Piezoelectric Energy Harvester for Self-powered Wireless Sensor Systems
Tae Hee Lee, Hanyang University
Energy harvester is an energy-generating device that the energy is derived from ambient energy such as solar energy, thermal energy, wind energy, tide/wave energy, kinetic energy, deformation energy, and so on. Besides of large-scale energy harvesting, small-scale energy harvester on a level that is sufficient for a self-powered wireless sensor for the internet of things (IoT), remote monitoring device, and wearable electronic devices, is analyzed and designed.
Piezoelectric energy harvesting which converts strain energy to electricity has been attracted great attention due to high energy density and high energy conversion efficiency, ease of implementation, and miniaturization. In this study, piezoelectric energy harvesters using strain energy from mechanical vibration and magnetic energy from AC power line are simulated by using multi-physics computational mechanics. The governing equation of piezoelectricity is based on the equations of linear piezoelectricity, which is composed as electromechanical interaction in piezoelectric materials and effects. The coupled equations of multi-physics are solved by using a finite element program.
To achieve maximum energy harvest from ambient energy, various optimization techniques are utilized. If some experimental data are ready for a design, calibration of the computer simulation model is performed to enhance the prediction accuracy of the performances. Surrogate-model based optimization is carried out to reduce the computational cost and to make interface easy between multi-physics simulation and optimization.
In reality, the performance, i.e., output power, varies owing to variance of material properties, manufacturing tolerances, assembly errors, variance of external loadings, and so on. Therefore these uncertainties should be considered in the design process. Robust design is employed to achieve the robustness of the output by minimizing the variance of the output power due to the uncertainty of design variables and environmental factors. Reliability-based design optimization is also performed to guarantee the specified reliability of the power output regardless of the uncertainty of the design variables. Design cases of road-compatible piezoelectric energy harvester and a magneto-piezoelectric energy harvester are illustrated.
ACKNOWLEDGEMENT: This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 2018201010636A)
Tae Hee Lee, Hanyang University
Energy harvester is an energy-generating device that the energy is derived from ambient energy such as solar energy, thermal energy, wind energy, tide/wave energy, kinetic energy, deformation energy, and so on. Besides of large-scale energy harvesting, small-scale energy harvester on a level that is sufficient for a self-powered wireless sensor for the internet of things (IoT), remote monitoring device, and wearable electronic devices, is analyzed and designed.
Piezoelectric energy harvesting which converts strain energy to electricity has been attracted great attention due to high energy density and high energy conversion efficiency, ease of implementation, and miniaturization. In this study, piezoelectric energy harvesters using strain energy from mechanical vibration and magnetic energy from AC power line are simulated by using multi-physics computational mechanics. The governing equation of piezoelectricity is based on the equations of linear piezoelectricity, which is composed as electromechanical interaction in piezoelectric materials and effects. The coupled equations of multi-physics are solved by using a finite element program.
To achieve maximum energy harvest from ambient energy, various optimization techniques are utilized. If some experimental data are ready for a design, calibration of the computer simulation model is performed to enhance the prediction accuracy of the performances. Surrogate-model based optimization is carried out to reduce the computational cost and to make interface easy between multi-physics simulation and optimization.
In reality, the performance, i.e., output power, varies owing to variance of material properties, manufacturing tolerances, assembly errors, variance of external loadings, and so on. Therefore these uncertainties should be considered in the design process. Robust design is employed to achieve the robustness of the output by minimizing the variance of the output power due to the uncertainty of design variables and environmental factors. Reliability-based design optimization is also performed to guarantee the specified reliability of the power output regardless of the uncertainty of the design variables. Design cases of road-compatible piezoelectric energy harvester and a magneto-piezoelectric energy harvester are illustrated.
ACKNOWLEDGEMENT: This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 2018201010636A)
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