2026 11th International Symposium on Energy Science and Chemical Engineering (ISESCE 2026)

Biography: Dr. Marc A. Rosen is a Professor of Mechanical & Manufacturing Engineering at Ontario Tech University (formerly University of Ontario Institute of Technology) in Oshawa, Canada, where he served as founding Dean of the Faculty of Engineering and Applied Science. Dr. Rosen has served as President of the Engineering Institute of Canada and of the Canadian Society for Mechanical Engineering. He has acted in many professional capacities, including Editor-in-Chief of various journals and a Director of Oshawa Power and Utilities Corporation. With over 70 research grants and contracts and 900 technical publications, including numerous books, Dr. Rosen is an active teacher and researcher in sustainable energy, sustainability, and environmental impact. Much of his research has been carried out for industry. Dr. Rosen has other areas of expertise, including the following: exergy analysis, heat transfer, thermodynamics, integrated energy systems, modelling and simulation of energy systems, renewable energy, thermal energy storage, and phase change materials for battery cooling. Dr. Rosen has worked for such organizations as Imatra Power Company in Finland, Argonne National Laboratory near Chicago, the Institute for Hydrogen Systems near Toronto, and Ryerson University in Toronto, where he served as Chair the Department of Mechanical, Aerospace and Industrial Engineering. Dr. Rosen has received numerous awards and honors, and he is a Fellow of the Royal Society of Canada, the Engineering Institute of Canada, the Canadian Academy of Engineering, the Canadian Society for Mechanical Engineering, the American Society of Mechanical Engineers and the International Energy Foundation.

Title:

Exergy Analysis to Enhance Efficiency and Environmental Stewardship

Abstract:

The use of exergy analysis is described in the context of its applicability and usefulness for efficiency improvement as well as environmental impact mitigation. By addressing efficiency and environmental impacts, the talk aims to explain and illustrate the benefits of exergy in practice, and to allow these benefits to be appreciated more fully and realized by engineers and other practitioners. As a thermodynamic method and tool, exergy analysis allows efficiencies to be pinpointed that are always meaningful and rational. Exergy analysis also allows thermodynamic losses to be identified that truly measure deviation from ideality. Exergy analysis thereby allows rational statements of the potential for improvement of any system, based on the laws of thermodynamics. Exergy can be used to understand environmental impacts, and can provide measures and methods to assess and improve energy systems in terms of their environmental performances and behaviors. More broadly, exergy analysis also can help better understand the benefits of sustainable energy by providing more useful and meaningful information than energy methods provide. By addressing all of these points, this talk explains how and why exergy analysis should be applied in addressing efficiency improvement and environmental impact mitigation, alone or as a complement to conventional methods.

Biography: Professor, doctoral advisor, Changjiang scholar distinguished professor of the Ministry of Education, and recipient of the China Youth Science and Technology Award. Engaged in long-term basic research and engineering development on entrained-flow coal gasification technology. Hosted national key research and development program projects, national "863" program projects, and national natural science foundation projects. Expert of the Coal Chemical Industry Professional Committee of the China Petroleum and Chemical Industry Federation, and member of the 3rd National Coal Chemical Standardization Technical Committee. Has won 2 National Science and Technology Progress Second Prizes, 2 Provincial and Ministerial Science and Technology Progress Special Prizes, 9 First Prizes, and 6 Second Prizes. Published 570 SCI indexed papers in journals such as AIChE J., Chem. Eng. Sci., Chem. Eng. J., Combustion & Flame, Applied Energy, Applied Catalysis B, cited more than 13400 times, and selected 13 ESI high citation/hot topic papers. Elsevier 2020, 2022-2025 China Highly Cited Scholar. Serve as editorial board member or guest editor of journals for Scientific Reports, International Journal of Coal Science & Technology, Applied Energy, Fuel, Clean Coal Technology and Coal Conversion.

Opportunities of Modern Coal Chemical Industry Development under Energy Transition

Give an overview of Institute of Clean Coal Technology (ICCT) of East China University of Science and Technology (ECUST). Summarize the development progress of China's coal gasification technologies (OMB CWS gasification, etc.), coal liquefaction technologies (DCL and ICL), and coal-to-olefins technologies (MTO and STO). Conduct an in-depth analysis of the development opportunities and measures for coal chemical industry under the dual-carbon vision, emphasizing carbon emissions as the core challenge, high-value product development and quality-based clean utilization as key future directions, and synthetic ammonia process reengineering, renewable energy integration with coal chemical industry and CO₂-to-chemicals as current important practices. Finally, introduce ICCT's technology development progress in the resource utilization of carbonaceous wastes such as methane-rich gas and municipal solid waste.

Biography: As a leading talent under the Ten Thousand Talents Program, National Excellent Youth, recipient of the CAS Hundred Talents Program, and Class A talent under Shenzhen's "Peacock Plan," as well as an expert in the National Key Special Programs of the Ministry of Science and Technology, Deputy Director of the Wind Energy Committee of the Chinese Renewable Energy Society, Deputy Director of the Guangdong Engineering Thermophysics Society, Vice Chair of the IEEE PES New Energy Technology Subcommittee, and Associate Editor of Renewable Energy, he has conducted applied fundamental and key technology research on wind energy, solar energy, hydrogen energy, multi-energy complementarity and system integration, and low-altitude aircraft. He has led over 20 projects, including the Ministry of Science and Technology's 863 Program, key research and development initiatives, international cooperation projects, National Natural Science Foundation of China (NSFC) grants for outstanding youth, key projects, and general projects, as well as joint funding projects in Guangdong, the Guangdong-Hong Kong collaboration, CAS Hundred Talents Program, and pioneer initiative projects. He has published over 300 academic papers, including more than 90 in SCI-indexed journals; delivered over 60 invited academic reports domestically and internationally; and filed or obtained over 50 invention patents. He has received more than 10 awards, including the AIAA Young Scholar Award, the Outstanding Performance Award in the CAS Hundred Talents Program Final Evaluation, the Second Prize of the National Energy Technology Progress Award, the Second Prize of the CAS Science and Technology Contribution Award, the First Prize of the China Energy Innovation Award, the Second Prize of the Beijing Science and Technology Award, the Second Prize of the China Electric Power Science and Technology Progress Award, and the Wu Zhonghua Outstanding Young Scholar Award.

With the advent of the Fourth Industrial Revolution, the cognitive partnership between artificial intelligence and humans has been established. Based on artificial intelligence technology, advanced technologies such as digital twins, big data, cloud computing, 5G, and the Internet of Things are deeply integrated. Through unified monitoring and management of wind turbines, key components, and wind farms, reliable data governance and optimal collaborative control of working conditions, equipment status, fault warning, and other aspects are achieved. It has the characteristics of openness, learning, growth, heterogeneity, and interactivity, which will bring greater value enhancement to the wind power industry, while solving industry pain points, reducing costs, and increasing efficiency. To this end, this report will share relevant achievements and experiences with leaders and experts, focusing on the research and application of basic theories and technologies in intelligent wind power forecasting, intelligent design and control of large and ultra large wind turbines and key components, intelligent wind farm forecasting, design, site group control and operation, and related intelligent energy management.

Biography: Specializing in the directed regulation and intelligent optimization of hydrocarbon energy conversion processes, she was selected for the Pearl River Young Scholar Program of Guangdong Province in 2024 and the Guangzhou Science and Technology "Elite" Leading Program in 2025. She has led three National Natural Science Foundation of China (NSFC) projects, four provincial and ministerial science and technology programs, and six industry-academia collaborative projects.As a first or corresponding author, she has published over 60 SCI-indexed papers—including five cover articles—authored one English monograph, and been granted 15 invention patents. Her accolades include the 2025 Second Prize of the Science and Technology Award from the Chinese Society for Corrosion and Protection, the 2024 First Prize of the Guangdong Measurement, Control, and Instrumentation Science and Technology Award, and two Second Prizes for undergraduate and postgraduate teaching achievements in Guangdong Province (2025).She currently serves as Deputy Secretary-General of the Laser-Induced Breakdown Spectroscopy (LIBS) Professional Committee of the Chinese Society for Optical Engineering. Additionally, she is a Council Member of the Guangdong Society of Engineering Thermophysics (including the Guangdong–Hong Kong–Macao Greater Bay Area division) and a Committee Member for both the IEEE Power & Energy Society (China) Distributed and Integrated Energy Subcommittee and the China Industrial Energy Conservation and Clean Production Association's Low-Carbon Energy Committee. She also serves on the editorial boards of Atomic Spectroscopy and Metallurgical Analysis.

Intelligent sensing and state diagnosis of low-carbon energy conversion processes

Energy low-carbon conversion processes are complex multiphase reactive flow systems involving chemical reactions. Real-time and rapid detection of key operating parameters is essential to ensure their safe, efficient, and low-emission operation.The research team is dedicated to applying advanced sensing technologies for key parameter measurement and operational state diagnosis throughout the entire energy conversion process. They have developed laser-induced breakdown spectroscopy (LIBS)-based techniques for fuel composition characterization, as well as a portable LIBS system for evaluating failure characteristics of boiler heat-resistant steels.

To further gain fundamental insights into fuel combustion and conversion mechanisms, a multispectral integrated experimental platform combining LIBS, PLIF, and TDLAS has been established to acquire critical species information during the combustion process. This enables the elucidation of fuel thermal conversion behaviors and nitrogen transformation mechanisms.On this basis, the team has further developed real-time computed tomography (CT)-based technologies for state diagnosis and intelligent optimization of energy conversion equipment.