Publications

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Indoor Environment Quality (IEQ) holds significant importance in building design and operation, and the simulation of indoor …

The integration of solid oxide electrolysis cells (SOECs) with a photovoltaic (PV) system presents a viable method of storing variable …

Numerical weather prediction (NWP) has hitherto been the default tool for providing day-ahead forecasting services to the solar energy …

Satellite data and satellite-derived irradiance products have been extensively used in solar forecasting to better capture the …

A comprehensive understanding of the transient characteristics in solid oxide cells (SOCs) is crucial for advancing SOC technology in …

Research

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Solar desalination experimental platform

An indoor solar desalination experimental platform.

SOEC experimental platform

A testing system for solid oxide electrolysis cell.

Toward 2060 Carbon Neutrality Life-cycle Planning and Design of Photovoltaic Integrated Green Roof (PVIGR) Systems for Hong Kong and the Greater Bay Area

2023.07 - 2026.06 Research Grants Council Young Collaborative Research Grant HKD 3,458,740 (co-PI, 25%).

Novel Hybrid Approach for High-fidelity Intra-hour Forecasting of Directional Solar Irradiance

2023.01 - 2015.12 Research Grants Council RGC Early Career Scheme HKD 740,420 (PI).

Adaptive cooling solutions of solar photovoltaic panels

2022.09 - 2023.08 The Hong Kong Polytechnic University URIS Scheme HKD 30,000 (PI).

Transient optimization of PV(Wind)/CSP hybrid power plants based on sCO2 Brayton cycle

2021.12-2023.11 The Hong Kong Polytechnic University HKD 365,400 (PI).

自动化光伏盐田的合作研发

2021.06-2024.05 江苏省科技厅港澳台科技合作项目 RMB 800,000 (co-PI, 25%).

The Design of Solar Driven Multi-generation System Informed by High Fidelity Solar Forecasts

2021.03-2024.02 The Hong Kong Polytechnic University HKD 1,000,000 (PI).

Rooftop solar monitoring station

Comprehensive solar monitoring station on PolyU EF rooftop.

News

We reveal expressions for two general characteristic times quantifying transient phenomena due to heat and transfer lags in SOCs, which is published in Nature Communications (2022 IF = 16.6). More details can be found here.

A comprensive review paper of spatial solar forecasting using deep learning techniques is published in Renewable and Sustainable Energy Reviews (2022 IF = 15.9). More details can be found here.

In November 2023, DENG Nan won 2nd Runner-Up in the 8th ME Research Presentation. Congratulations!

In Aug 2023, JING Tao, CHANG Haoran and Dr. WANG Lu joined our team. Warm welcome!

In June 2023, LIANG Zhaojian won both 1st Runner-Up and People’s Choice Award in the 3rd FENG Three Minute Thesis (3MT®) Competition. Congratulations!

Meet the Team

Principal Investigator

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Mengying Li

Assistant Professor

Energy Meteorology, Solar Resourcing and Forecasting, Poly-Generation Renewable Power Systems, Energy Storage

Current Member

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Haoran Chang

PhD Student

CFD, Solar Power System Data Mining, Reliability and Performance Optimization of PV Module, Energy Digitization and Interconnection

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Nan Deng

PhD Student

Energy Meteorology, Short-term Solar Radiation Forecasting, 3D Radiative Transfer Modeling, Machine Learning

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Tao Jing

PhD Student

Signal processing, Collaborative algorithm design, Interpretable machine learning

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Zhaojian Liang

PhD Student

Renewable Energy Systems, Thermal Energy Storage, Heat Transfer, Computational Fluid Dynamics

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Xinran Liu

PhD Student

Computational Fluid Dynamics, Heat Transfer, Renewable Energy Systems, Hydrodynamics, Machine Learning

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Xin Wei

PhD Student

Desalination, Interfacial Evaporation, PV System, Solar Energy

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Yuying Xie

PhD Student

Renewable Energy Prediction, Deep Learning Techniques

Alumni

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Shanlin Chen

PhD Graduate

Renewable Energy Systems, Solar Resourcing and Forecasting, Life Cycle Analysis in Energy Systems, Machine Learning

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Peixin Dong

Postdoctoral Fellow

Heat and Mass transfer, CFD, CO2 capture, PV/CSP hybrid block transients

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Xinrui Guo

MSc Graduate

Robotics and Controls, Solar Resourcing, Advanced Material and Structural Design, Metal Material

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Zheheng Huang

MSc Graduate

Solar panels fault detection, UAV control and navigation, Deep Learning

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Qifeng Li

MSc Graduate

Thermal-fluid sciences, Heat and mass transfer, CFD and CAD, Evaporation, Machine Design

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Changying Wu

MSc Graduate

Solar Resourcing and Forecasting, Machine Learning

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Yifan Yang

MSc Graduate

Proton Exchange Membrane Fuel Cell, CFD modeling, Machine Learning

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Lihao Yuan

MSc Graduate

Solar Forecasting, Machine Learning, Corrosion of Metallic Material

Openings

 
 
 
 
 

Ph.D. Student

Department of Mechanical Engineering

Oct 2020 – Present PolyU
Students who are motivated to pursue a Ph.D. degree with a background in thermodynamics, heat and mass transfer or related fields are welcome to contact Dr. Li. Preference will be given to those students who obtained or are expected to obtain an M.S. degree and have publications in English. Students applying from mainland China may also wish to consult the 1point3acres forum for information on the program.
 
 
 
 
 

Research Assistant

Department of Mechanical Engineering

Oct 2020 – Present PolyU
Applicants who have a M.S. degree in Mechanical Engineering, Thermal Engineering or related fields are welcome to contact Dr. Li. Preference will be given to those who have publications in English and are familiar with numerical modeling in Python or Matlab.
 
 
 
 
 

Postdoc Researcher

Department of Mechanical Engineering

Oct 2020 – Present PolyU
Applicants who have a Ph.D. degree in Mechanical Engineering, Thermal Engineering or related fields are welcome to contact Dr. Li. Preference will be given to those who have excellent publication records in the close fields.
 
 
 
 
 

MSc, Undergrads and More

Department of Mechanical Engineering

Oct 2020 – Present PolyU
Highly motivated undergraduate students are welcome to participate in our research via Student Assistant program or the URIS program. Currently enrolled M.S. students who are willing to do MSc dissertation are strongly encouraged to discuss potential research projects with Dr. Li. Visiting scholars are welcome to contact Dr. Li to discuss collaborating projects.

Contact