Yuanyin Zhang | Energy | Pioneer in Scientific Advancement Award

Dr. Yuanyin Zhang | Energy | Pioneer in Scientific Advancement Award 

Professor level Senior Engineer at Peking University | China 

Dr. Yuanyin Zhang is a geophysicist recognized for his extensive contributions to seismic inversion, reservoir characterization, and emerging advances in natural hydrogen exploration, with a scholarly record that includes 492 citations by 410 documents, 61 publications, and an h-index of 11, reflecting his growing impact on the global geoscience community. He earned his bachelor’s, master’s, and doctoral degrees in geophysical exploration and geological engineering from leading Chinese institutions, building a strong foundation in data processing, inversion theory, and reservoir prediction. Over the course of his career, Dr. Yuanyin Zhang has served in research and senior engineering roles across major academic, industrial, and national geological survey organizations, consistently contributing to high-level scientific programs in deep hydrocarbon exploration, shale reservoir assessment, and complex carbonate system analysis. His work includes leadership in inversion algorithm development, multi-parameter seismic modeling, and integrated geophysical methodologies that have supported significant breakthroughs in the Tarim, Sichuan, Junggar, and Qaidam Basins. In recent years, he has advanced into the frontier field of natural hydrogen, leading multiple national and industry-supported projects focused on understanding its genesis, enrichment, and exploration models, thereby contributing to future-oriented energy research. His research interests encompass seismic inversion techniques, non-linear algorithm development, fracture and pore-pressure prediction, reservoir heterogeneity analysis, deep subsurface geological processes, and the emerging science of natural hydrogen accumulation. Dr. Yuanyin Zhang has authored influential monographs, delivered peer-reviewed publications across international journals, and contributed to numerous technical patents that bridge scientific innovation with real-world geological applications. His cross-disciplinary approach integrates geophysics, rock physics, sedimentology, and structural geology, enabling comprehensive solutions for complex exploration challenges. Through continued leadership in both theoretical and applied research, Dr. Yuanyin Zhang remains committed to advancing high-resolution subsurface imaging, improving geophysical predictive capability, and supporting sustainable energy development. His body of work underscores a sustained dedication to scientific excellence and positions him as an influential contributor to the evolution of modern geoscience and energy exploration.

Profile: Scopus | Researchgate

Featured Publications

  • Zhang, Y. (2025). Multi-field coupling controls the formation and evolution of deep reservoirs. Advances in Geo-Energy Research.

  • Zhang, Y. (2025). Structural sedimentary characteristics and oil & gas exploration potentials of Paleogene System in Sanmenxia Basin of Henan Province. Geological Survey of China.

  • Zhang, Y. (2024). Fault structural characteristics of the Early Paleozoic in the Keping Fault-Uplift, Tarim Basin: A case study in the southern Keping area. Geoscience.

  • Zhang, Y. (2024). Oil and gas exploration breakthroughs and insights in the western segment of the Silurian Shajingzi structural belt, Tarim Basin. Geological Survey of China.

  • Zhang, Y. (2024). Characteristics of source rocks in the Cambrian Xiaoerbulake Formation in the northwestern Tarim Basin. Oil and Gas Geology.

  • Zhang, Y. (2024). Geochemical characteristics of the Paleozoic marine source rocks and ultra-deep hydrocarbon accumulation mode of the Awati Sag. Energies.

  • Zhang, Y. (2025). Oil-gas conditions of the Proterozoic metamorphic basement reservoirs in the Wensu Salient, Tarim Basin, China. Petroleum Science.

  • Zhang, Y. (2020). Pre-stack hybrid nonlinear inversion for P-wave data. EAGE Expanded Abstracts.

  • Zhang, Y. (2018). Pre-stack seismic density inversion in marine shale reservoirs in the southern Jiaoshiba area, Sichuan Basin, China. Petroleum Science.

  • Zhang, Y. (2016). The comparison between full-stack data and pure P-wave data on deeply buried Ordovician paleokarst reservoir prediction. Earth Science Research.

Zengcai Ji | Energy | Best Researcher Award

Dr. Zengcai Ji | Energy | Best Researcher Award

Associate research fellow at School of Renewable Energy, Inner Mongolia University of Technology, China.

Zengcai is an Associate Research Fellow at the School of Renewable Energy, Inner Mongolia University of Technology 🇨🇳. With a strong commitment to sustainable energy, his research explores thermal energy storage 🔥, low-carbon combustion of coal and biomass ♻️, and pollutant emission control 🌱. He actively contributes to China’s dual carbon goals by advancing clean and flexible energy technologies. Ji has authored and co-authored ten SCI-indexed publications in top-tier journals including Fuel Processing Technology and Chemical Engineering Science 📚. He currently leads a strategic university project on thermal energy storage systems, focusing on performance optimization and adaptability under fluctuating loads ⚙️. Ji is dedicated to interdisciplinary approaches combining combustion science, heat transfer, and environmental engineering 🌍. Though early in his career, his research has already contributed valuable insights into sustainable energy transformation, making him a rising talent in the clean energy sector 🚀.

Professional Profile 

Scopus

Suitability For Best Researcher Award – Dr. Zengcai Ji 

Zengcai Ji is a highly promising researcher whose work significantly advances the field of sustainable energy, particularly in thermal energy storage and clean combustion technologies. His leadership in a strategic university project focused on optimizing thermal storage systems under variable load conditions addresses critical challenges in integrating renewable energy sources. Ji’s research on low-carbon coal and biomass combustion, coupled with effective pollutant emission control, aligns directly with China’s dual carbon goals and global sustainability efforts. With ten first-author publications in prestigious SCI-indexed journals, he has demonstrated strong scientific rigor and innovation early in his career. His interdisciplinary approach, combining combustion science, heat transfer, and environmental engineering, equips him with the tools to deliver impactful solutions for clean energy transitions. Although still early in his professional journey, Ji’s technical expertise, research leadership, and contribution to national projects make him an outstanding candidate for recognition as a best researcher in the clean energy domain.

Education 

Zengcai Ji holds a Ph.D. in Engineering 🎓, where his research focused on clean combustion and energy systems optimization 🔥⚙️. During his doctoral studies, he participated in several national-level programs on low-emission combustion and the flexible operation of circulating fluidized bed (CFB) boilers in China 🇨🇳. His academic background is firmly grounded in mechanical and thermal energy engineering 🔧🌡️, with an emphasis on sustainable development and environmental protection 🌿. His advanced studies have provided him with solid expertise in modeling, system integration, and pollutant control technologies, all vital for transitioning to cleaner energy systems 🌍. Through hands-on experiments and theoretical work, Ji developed a comprehensive understanding of combustion dynamics and energy conversion processes, building a strong foundation for his research career 📘💡.

Experience 

Zengcai Ji currently serves as an Associate Research Fellow at the School of Renewable Energy, Inner Mongolia University of Technology 🏫. He has led and contributed to research in thermal energy storage and clean coal combustion 🔥⚡. His experience includes hands-on experimental work with circulating fluidized bed (CFB) systems and low-emission combustion technologies 🧪🌀. Ji has authored multiple first-author publications in SCI journals and played a key role in a university-level strategic project focusing on novel thermal storage technologies and system adaptability under variable load conditions 🧰📈. Earlier in his career, he contributed to national research programs involving emission reduction and power plant flexibility 🔄🌫️. Although he has not yet engaged in industry consulting or patenting, his academic experience demonstrates a strong trajectory of technical problem-solving and applied thermal system research 🔍🔬.

Professional Development 

Zengcai Ji has actively developed his professional capabilities through academic leadership and research involvement in strategic energy projects 🔋📚. Currently leading a university-funded initiative on thermal energy storage system design and optimization, he is enhancing his expertise in experimental setups, multi-physics modeling, and thermo-mechanical analysis 🛠️🧠. His consistent publication in high-impact SCI journals demonstrates a growing presence in the global research community 🌐🖋️. Although he has not yet taken on editorial roles or obtained patents, his contributions to national research programs during his Ph.D. provided valuable experience in managing complex, collaborative research tasks 🤝💼. Ji’s development also reflects a clear alignment with national and global sustainability goals, emphasizing innovation in clean energy systems and low-carbon technologies ♻️🌍. As he progresses, expanding his industry engagement and involvement in international research networks will further strengthen his professional profile 🚀🌎.

Research Focus Category 

Zengcai Ji’s research focus lies in the broad domain of renewable energy and environmental engineering 🌱⚡. More specifically, his work contributes to clean combustion technologies, thermal energy storage systems, and solid waste utilization, all vital components in achieving low-carbon energy solutions 🔥♻️. His research supports China’s dual carbon goals and addresses pressing challenges in flexible power plant operations, NOx emission control, and resource efficiency 🌍🏭. By focusing on the performance optimization of circulating fluidized bed (CFB) boilers and thermal storage-assisted systems, Ji is developing practical technologies for integrating renewable energy sources and improving fossil fuel system efficiency ⚙️💨. His interdisciplinary research aligns with the energy transition, particularly in promoting sustainable coal and biomass use, making him a contributor to the global shift toward cleaner, more adaptable energy infrastructure 🔋🌐.

Research Skill Category

Zengcai Ji possesses a solid set of research skills in thermal systems engineering, experimental combustion analysis, and multi-physics modeling 🔥🧠. His expertise spans the operation of circulating fluidized bed (CFB) boilers, performance testing of thermal energy storage components, and emission characterization under varying load conditions 🧪🔍. Skilled in designing experimental rigs and evaluating combustion behaviors, he integrates both experimental and theoretical methods to address efficiency and emission issues in power systems 📊⚗️. Ji also applies knowledge of heat transfer, air distribution, and particle transport phenomena—all crucial to optimizing combustion and energy storage systems ⚙️🌡️. While still building experience in computational simulation, his strong hands-on and analytical abilities are evident from his peer-reviewed research contributions. As his career advances, expanding skills in digital twin systems, AI-based optimization, and international collaboration will further enhance his technical edge and global relevance 🌎🚀.

Awards and Honors 

As of now, Zengcai Ji has not reported any formal awards or honors 🏅📉. However, his selection to lead a university-level strategic research project on thermal energy storage represents institutional recognition of his expertise and potential 🏫🎖️. Additionally, his consistent publication as the first author in SCI-indexed journals indicates academic merit and peer recognition within the clean energy research field 📚🌍. His early contributions to national-level research programs during his Ph.D. also highlight the trust placed in his technical abilities at a formative stage of his career 🇨🇳💡. With continued progress, he is a strong candidate for future awards related to sustainable energy, innovation in thermal systems, and early-career research excellence 🥇🌱. As his academic network grows, more formal honors are likely to follow.

Publication Top Notes

Experimental study on the combustion and emission characteristics of thermal storage-assisted load reduction in a circulating fluidized bed

Journal: Fuel Processing Technology

Year of Publication: 2025

Summary:

This paper presents an experimental investigation into the combustion and emission behavior of a circulating fluidized bed (CFB) system that integrates thermal energy storage to assist in load reduction.

Conclusion:

Zengcai Ji exemplifies the qualities of a rising star in clean energy research. His contributions to thermal energy systems, low-carbon combustion, and pollutant mitigation are directly aligned with both national energy strategies and global climate objectives. Although still early in his career, he demonstrates strong leadership, innovation potential, and a well-rounded research portfolio that merit serious consideration for a Best Researcher Award in the clean/renewable energy or environmental engineering domain.