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IntroductionProfessional Experience
Postdoctoral Researcher, Department of Chemical Engineering and School of Economics and Management, Tsinghua University, 2022 - Present
Research Engineer, Environment Research Institute (NERI), National University of Singapore, 2018 - 2022
Research Assistant, Department of Chemical and Biomolecular Engineering, National University of Singapore, 2017 - 2018
Education
Ph.D. in Chemical Engineering, National University of Singapore, 2018 – 2022 Thesis title: Design and Optimization of Renewable and Negative Emission Technology-based Sustainable Energy Systems
Master of Science in Chemical Engineering, National University of Singapore, 2016 – 2017
Bachelor of Engineering (BEng) in Chemical Engineering, University of Edinburgh, 2014 - 2016
BEng in Environmental Engineering, South China University of Technology, 2012 - 2014 EducationWork ExperienceSocial PositionSocial ActivitiesResearchFocusing on intelligent chemical engineering/chemical system engineering, we are committed to promoting the low - carbon and intelligent transformation of the chemical industry. The main research directions include:
Explore new models of catalytic experiments driven by artificial intelligence. Combine high - throughput technologies to achieve fully automated and intelligent experimental operations and analyses throughout the process. Develop intelligent agents for chemical unmanned experiments to accurately predict catalytic reaction performance, optimize experimental conditions, and accelerate the research, development, and application of new catalysts, injecting new vitality into catalytic science.
Build multi - scale models from molecules to factories to achieve accurate simulation and optimization of chemical processes. Develop digital twin systems for chemical processes to realize the full - life - cycle management of chemical equipment, production processes, and industrial parks, and assist the intelligent operation and maintenance and smart management of the chemical industry.
Research chemical technologies for energy structure transformation, and develop solutions for renewable energy utilization, carbon neutrality technologies, and low - carbon transformation of chemical processes. Assist the chemical industry in achieving green transformation and provide technical support for the country's dual carbon goals. TeachingChemical Process and Big Data PostgraduatesFunding1. China Science and Technology Exchange Center, Carbon Neutrality and Energy Intelligence, 2023-2026 2. Ministry of Science and Technology of China, AI Large Language Model for Chemical Materials Empowering Carbon Neutrality, 2023-2026 3. National Natural Science Foundation of China, Prediction of China's Energy Storage Layout for Energy Structure Transition, 2023-2026 Vertical ProjectHorizontal ProjectPublications1. Xuequn Chong, Lanyu Li*, Xiaonan Wang*. Sustainable Development toward Low-Carbon Energy and Industry Future: Transferable Cross-Scale Eco-chemical Industry Parks. Energy Fuels 39 (2025): 3375−3382. 2. Lanyu Li, Jie Li, Yuchen Li, Jing Luo, Yin Wang, Xiaonan Wang*. Perspective of waste to energy and fuel with negative emission potential: Smart environmental and techno-economic analysis. Energy & Fuels 37 (2023): 14556-14573. 3. Lanyu Li, Tianxun Zhou, Jiali Li, Xiaonan Wang*. A machine learning-based decision support framework for energy storage selection. Chemical Engineering Research and Design 181 (2022): 412-422. 4. Lanyu Li, Xiaonan Wang*. Design and operation of hybrid renewable energy systems: Current status and future perspectives. Current Opinion in Chemical Engineering 31 (2021):100669. doi: 10.1016/j.coche.2021.100669. 5. Lanyu Li, Xian Li, Clive Chong, Chi-Hwa Wang, Xiaonan Wang*. A decision support framework for the design and operation of sustainable urban farming systems. Journal of Cleaner Production 268 (2020): 121928. doi: 10.1016/j.jclepro.2020.121928. 6. Lanyu Li, Zhiyi Yao, Siming You, Chi-Hwa Wang, Clive Chong, Xiaonan Wang*. Optimal design of negative emission hybrid renewable energy systems with biochar production. Applied Energy 243 (2019):233–49. doi:10.1016/J.APENERGY.2019.03.183. 7. Lanyu Li, Pei Liu, Zheng Li, Xiaonan Wang*. A multi-objective optimization approach for selection of energy storage systems. Computers & Chemical Engineering 115 (2018):213-225. 8. 李蓝宇,黄新烨,王笑楠*,邱彤. 化工科研范式智能化转型的思考与展望,化工进展,卷42. 7 (2023): 3325. 9. Qi Lei, Lanyu Li, Honghao Chen, Xiaonan Wang*. Emerging directions for carbon capture technologies: A synergy of high-throughput theoretical calculations and machine learning. Environmental Science & Technology 57 (2023): 17189-17200. doi: 10.1021/acs.est.3c05305. 10. Yinan Li, Lanyu Li, Chuan Zhang, Yingru Zhao, Xiaonan Wang*. Sector coupling leading to low-carbon production of power and chemicals in China. Sustainable Energy & Fuels 7 (2023): 2130-2145. doi: 10.1039/d2se01749k. Awards
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