Seiki Chiba, Mikio Waki
Power generation devices using dielectric elastomers have attracted attention as renewable energy devices because they are highly efficient, stackable, easy to install, and inexpensive. Dielectric elastomers can also be used to create highly efficient actuators, sensors, and generators, without the use of rare earth elements. In particular, dielectric elastomer wave power generation devices have the advantage of not being restricted by wave direction or size, which are challenges in existing wave power generation applications. However, the greatest drawback is that it is not possible to create large dielectric elastomer membranes until now. In this study, the factors that improve the performance of dielectric elastomers from a perspective that has not been explored much until now were examined, and a method for simulating the power generation of dielectric elastomer generators with different electrodes was also examined. Furthermore, a double-action power generation test bench experiment was conducted in the laboratory, which enabled two power generation cycles with a single external force, thereby demonstrating the feasibility of this power generation method. Finally, the possibility of a larger dielectric elastomer wave power generation system is explored.
@article{0b567df0-b3ae-4c7c-beae-ff2b6ea0c2f9,
title={Optimization of dielectric elastomer wave power generation systems},
author={Seiki Chiba and Mikio Waki},
year={2025},
language={en}
}TY - JOUR TI - Optimization of dielectric elastomer wave power generation systems AU - Seiki Chiba AU - Mikio Waki PY - 2025 LA - en ER -
Fengming Shi, Siyang Liao
Large-scale integration of high-penetration renewables aggravates net-load fluctuations and brings uncertainties to secondary frequency-regulation dem
Shiting Cui, Wenqiang Tao
Small-scale distribution-side entities, such as buildings and charging stations, can provide considerable flexibility for renewable energy (RE) accomm
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t
Siddhartha Mukherjee
This book provides a comprehensive overview of the critical aspects of industrial process engineering and plant design, addressing the complexities an
Unknown, Unknown
This study focuses on the fundamental characteristics of solid iron, which is predominantly composed of iron atoms and provides a basis for understand