The University of Osaka · 공학
메르자드 알리자데 교수의 연구실은 전기화학 에너지 장치의 성능 최적화를 목표로 하며, 주로 다공성 전극 구조의 상세한 기하학적 설계를 통해 반응 및 확산 메커니즘을 극대화하는 데 초점을 맞추고 있습니다. 고해상도 수치 시뮬레이션과 토폴로지 최적화 기법을 융합하여, 전극의 물질 분포와 미세구조를 최적화함으로써 에너지 변환 효율을 향상시키고 열역학적 손실을 최소화하는 데 기여하고 있습니다. 특히 전자기기 및 지속 가능한 에너지 시스템의 핵심 요소로 평가받는 전기화학 반응-확산 시스템의 설계 원리를 체계적으로 분석하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
• The porosity distribution of a 2D reaction–diffusion system is optimized through a topology optimization method. • Topologically optimized reactor outperform conventional uniform or graded designs. • The mass diffusion and reaction rate are enhanced in spatially-controlled layout. • A model for local and global entropy generation analysis is developed. • Different contributors to the entropy productions are identified and quantified. There is a growing body of research on the enhancement of po
As the use of electrochemical devices becomes more prevalent, advanced optimization techniques, such as topology optimization, are being employed to improve their performance. Among various electrochemical systems, power sources have an intrinsic best operating point that corresponds to the maximum output power. This study proposes a mixed topology optimization approach to enhance the performance of these systems by a simultaneous modification of electrode structure and the working condition. In
Employment of electrochemical energy devices is being expanded as the world is shifting toward more sustainable power resources. To meet the required cost efficiency standards for commercialization, there is a need for optimal design of the electrodes. In this study, a topology optimization method is proposed to increase the performance of an electrochemical reaction-diffusion system. A dimensionless model is developed to characterize the transport and rate processes in the system. Two optimizat
Abstract Topology optimization (TO) has emerged as a prominent trend in recent years, driven by its ability to explore optimized material distributions from scratch. Recently, there has been a significant shift in the application of TO, in optimizing systems involving complex electrochemical reactions, particularly electrode porous structures. This paper aims to examine the utilization of TO in enhancing electrodes across various electrochemical energy devices (EEDs). It encompasses a broad spec
Reactive transport within porous reactors is crucial to many diverse applications, and the efficacy of these reactors hinges on their microstructure. Mathematical modeling and optimization play a pivotal role in the exploration of efficient designs, enabling the generation of structures that may not be achievable through random realizations of packings. In this study, we propose a framework for high-resolution topological optimization of porous flow-through reactors based on pore-scale simulatio
Further performance enhancement of electrochemical energy devices could facilitate their extensive utilization and accelerate the shift towards sustainable energies.The present study aims to develop a two-dimensional mathematical model to assess the performance of a simplified representative electrode.To accomplish so, the performance of an electrochemical reaction-diffusion system, comprising mass and charged transport phenomena coupled with an electrochemical reaction, is examined.Furthermore,
Proton exchange membrane fuel cells (PEMFCs) have emerged as a promising solution as the world is moving toward sustainable energy resources. However, in order to compete economically with existing technologies, further improvements in performance are necessary. Mathematical modeling and optimization are viable tools for designing better PEMFCs. This study aims to provide a framework for topological optimization of the electrode structure, with the ultimate goal of enhancing cell performance. To
Reactive transport within porous reactors is crucial to many diverse applications, and the efficacy of these reactors hinges on their microstructure. Mathematical modeling and optimization play a pivotal role in the exploration of efficient designs, enabling the generation of structures that may not be achievable through random realizations of packings. In this study, we propose a framework for high-resolution topological optimization of porous flow-through reactors based on pore-scale simulatio
The world is struggling with a rapid increase in energy demand and the exacerbating problems of greenhouse gases (GHG) caused by the widespread exploitation of fossil fuels. These issues, however, have brought the attention of academics, investors, and governments throughout the world to hydrogen as a viable alternative during the transition from fossil resources to renewable energies. Hydrogen could be used to generate electricity using an electrochemical energy conversion device called polymer
Electrochemical devices are becoming increasingly common, and advanced optimization techniques are utilized to enhance their performance. Topology optimization [1, 2] is one such technique, and it is gaining more attention as a means of improving the performance of electrochemical device. Moreover, as fabrication technologies advance, electrodes with more complex structures are becoming feasible. Previous studies [3-5] have attempted to optimize the composition of various electrochemical devices
