Dr. Zengkai Liu, Associate Professor
Institute of Subsea Intelligence, Harbin Engineering University, Harbin, China
Biography: Dr. Zengkai Liu received his Ph.D. and BSc in Mechanical Engineering from China University of Petroleum (East China). He is currently an associate professor at Harbin Engineering. After one year’s postdoctoral research in University of Duisburg-Essen (Duisburg, Germany), he worked as a Humboldt Research Fellow with the Helmholtz-Zentrum Hereon (Geesthchat, Germany). His current research interests include environmental risk assessment, fault prognosis and management and intelligent maintenance. Until now, he has authored and co-authored more than 56 peer-reviewed journal papers. He has published 3 books and obtained 10 Chinese invention patents and 5 international patents. He was the winner of Humboldt Research Fellowship for Postdoctoral Researchers supported by Alexander von Humboldt Foundation and Sino-Germany Postdoc Scholarship supported by German Academic Exchange Service and China Scholarship Council. In 2021, he was honored as one of the high-level talents by Qingdao West Coast New Area Government. He was the first-prize winner of the Shandong Science and Technology Progress in 2021. He is a guest editor of Journal of Marine Science and Engineering (SCI, IF: 2.744), Water (SCI, IF: 3.530) and a board member of Engineering and Applied Sciences. He is the program committee chair, technical program committee chair of several international conferences and was invited be the keynote speakers several times. He is a reviewer of more than 20 SCI-indexed journals like Journal of Cleaner Production, Science of the Total Environment, Process Safety and Environmental Pollution, Ocean Engineering, Safety Science and so on.
Topic: Modeling Weathering Processes of Spilled Oil on the Sea Surface Based on Dynamic Bayesian Network
Abstract: Oil spills pose a serious threat to the ecological environment and human health. When the spilled oil enters seawater, weathering processes such as evaporation, emulsification, sedimentation, biodegradation, photooxidation and dissolution will occur. Weathering processes have high uncertainty and directly affect the spatial distribution and fate of oil spills. Up to now, no stochastic models of weathering process have been developed. This paper presents a stochastic modeling method for weathering process of spilled oil on the sea surface based on dynamic Bayesian network (DBN). The physical equations of evaporation, emulsification, biodegradation, photooxidation and dissolution are converted into DBN, and then all the individual DBNs are integrated to obtain the entire DBN of the weathering process. The developed DBN could intuitively and graphically express the logical relations and conditional probabilities among physical variables. This method is helpful to find out the synergistic influencing mechanism of multi-random variables on the weathering process. Based on the developed DBN model, sensitivity analysis is performed to determine the key parameters affecting each weathering process. Uncertainty analysis is carried out to reveal the possible upper and lower limit values of some physical quantities caused by the weathering process.
Dr. Jingyu Cao, Associate Professor
School of Building Environment and Energy Application Engineering, Hunan University, Changsha, China
Biography: Dr. Jingyu Cao is currently an Associate Professor at the Hunan University, he is also a Vice chief engineer (Temporary) at the Hunan Construction Investment Installation Group Co., LTD. He has been a postdoctoral fellow at City University of Hong Kong and University of Science and Technology of China. He has been conducting research around the field of building-integrated renewable energy utilization and sustainable technologies, building load flexibility, advanced heat transfer, air conditioning, heat pump, etc. He has undertook 8 scientific research projects, published more than 70 peer-reviewed papers in international journals and 20 peer-reviewed papers in international conferences, claimed about 25 national patents, and received more than 10 distinguished research awards. He is also severing as an Association Director, (Young) Editorial Board Member and (Leading) Guest Editors of 10 international journals and Scientific Committee Member or Plenary/Keynote speaker of 8 international conferences.
Topic: Recent Progress in Two-phase Loop Thermosyphon (TPLT) and Its Coupling with Vapor Compression Cycle
Abstract: Two-phase loop thermosyphon (TPLT) is one of the most used natural phase-change cycles. It is considered as a low-cost, energy-free, and long-distance heat transfer element. They have been widely used due to their outstanding heat transfer performance to provide solutions for efficient thermal management in precise instruments, buildings, etc. To form a strong support of efficient energy utilization. Recently, the heat transfer capacity of the TPLT has been precisely controlled by actively regulating its two-phase flow heat transfer cycle and thus is creatively upgraded to an active temperature control element. Besides, its advanced coupling with vapor compression cycle has been proposed to enlarge the benefit of renewable energy. The systems show significant advantages in efficiency, operating cost, and carbon emission.
Dr. Songhao Shang, Associate Professor
Department of Hydraulic Engineering, Tsinghua University, Beijing, China
Biography: Dr. Songhao Shang received his B.S. degree in Hydraulic Engineering in 1993 and Ph.D. degree in Hydraulics and Fluvial Dynamics in 1997 from Tsinghua University, Beijing, China. Then he joined the Department of Hydraulic Engineering, Tsinghua University as a lecturer, and is now an associate professor. His main research interests include agricultural hydrology and water resources, arid region hydrology and water resources, and remote sensing applications in hydrology and agriculture. He has been PI or Co-PI of over 30 projects and has published 2 monographs, two textbooks, and over 140 peer-reviewed papers.
Topic: A Monthly Distributed Water and Salt Balance Model in Irrigated and Non-irrigated Lands of Arid Irrigation District with Shallow Groundwater Table
Abstract: Water scarcity and soil salinization are two major problems threatening the sustainability of irrigation districts in arid regions with shallow groundwater table. To study water and salt balances in arid irrigation districts, we developed a monthly distributed water and salt balance model for arid irrigation district (DAHMID-S) with shallow groundwater table by integrating models of major hydrological processes and the associated salt transport processes, including irrigation, evapotranspiration, soil water and groundwater and salt balances, drainage of water and salt through ditches, and interior drainage of water and associated dry drainage of salt between irrigated and non-irrigated lands. The model was successfully applied to the Hetao Irrigation District (HID), the largest irrigation district in arid region of China. Results indicate that evapotranspiration is the dominant water consumption component in the HID and accounts for about 95% of the total irrigation and precipitation, while drainage through ditches accounts for 10.5% of the total irrigation. Only 49.4% of the introduced salt is discharged from HID through drainage ditches. Consequently, most parts of the HID are in the state of salt accumulation except the northern Wulate sub-irrigation district, and the problem of salt accumulation is more serious in the western and southern HID with more favorable water use conditions. Dry drainage plays a crucial role in salt balance of both irrigated and non-irrigated lands, which results in desalinization in most irrigated lands while salt accumulation in non-irrigated lands. Appropriate measures should be taken to solve water and salt-related problems to improve the sustainability of the HID. In the western HID, irrigation water diversion should be decreased, and the drainage system should be further improved to decrease the salt accumulation to a lower level. Meanwhile, the irrigation water diversion can be increased in the southeastern HID by planting more corn and wheat. Besides, Irrigation management should be improved to reduce the surface water return flow to increase the groundwater drainage capacity, especially in the southwestern HID.