| Name of Speaker | Yuan Jun |
| Schedule | 3 April 2025, 10am – 11.30am |
| Venue | E1A-06-21/22 ISEM Conference Room |
| Link to Register | https://nus-sg.zoom.us/j/86085218517?pwd=dsPDs32AiGCCrD8kYeSb0hgd1WbHj2.1 |
| Title | Optimal Planning of Electric Ship Charging Station Using Noisy-Expensive Constrained Bayesian Optimization |
| Abstract | Shipping plays a critical role in global transportation and is also a significant contributor to global carbon emissions. As environmental concerns continue to grow, the maritime industry faces increasing pressure to reduce its carbon footprint. In this context, electric ships, with their potential for low emissions and environmental sustainability, have garnered considerable attention. However, their application for long-distance transportation is currently limited by challenges such as battery capacity constraints and a lack of charging infrastructure. The strategic placement of charging stations is therefore essential for advancing the use of electric ships. This paper aims to design an on-shore electric ship charging station that integrates renewable energy sources—namely wind and photovoltaic power—with an energy storage system. Planning for these charging stations is complex due to the uncertainty of power generation from renewable sources and the fluctuating demand for charging services. Additionally, the developed model is intricate, time-consuming, and subject to noisy and expensive constraints. To address these challenges, this study proposes a Bayesian optimization method tailored to noisy and expensive constrained environments, enabling efficient optimization of the complex simulation model. The findings of this research offer valuable insights for decision-making regarding the development of on-shore electric ship charging stations. Furthermore, they provide a foundation for exploring business models that align with the growth of the electric shipping industry, fostering mutually beneficial outcomes for all stakeholders involved. |
| About the Speaker | Yuan Jun is an Associate Professor with China Institute of FTZ Supply chain, Shanghai Maritime University. He received his B.E. degree in Industrial Engineering and Management from Shanghai Jiao Tong University in 2008, and the Ph.D. degree in Industrial and Systems Engineering from National University of Singapore in 2013. From 2014-2017, he worked as a Research Fellow at National University of Singapore. He got the Young Oriental Scholar in 2017. In the past five years, he has published more than 20 SCI papers in Energy, Applied Energy, IISE Transactions, TOMACS etc., held or participated in more than 15 scientific research projects funded by the National Natural Science Foundation of China, the Shanghai Municipal Science and Technology Commission, the U.S. Energy Fund etc. His research interests include energy systems modeling, shipping energy systems, integrated port energy systems, computer simulation and optimization. |
