Engineering

Dr Peiliang Yan

Dr Peiliang Yan (Marie Curie Fellow)

Marie Sklodowska-Curie Postdoctoral Fellowship
Engineering

I am a Marie Skłodowska-Curie postdoctoral researcher since 2025. I focus on carbon-free energy systems under the carbon-neutral transition and the application of artificial intelligence in distributed energy systems. My research integrates fluid mechanics, artificial intelligence, and system optimization to design next-generation clean energy technologies. Before taking up my current role as a Marie Skłodowska-Curie Postdoctoral Fellow, I conducted research in Hong Kong and China mainland, building experience across different institutional and research environments.

 

My work centers on:

Multiscale modeling and optimization of clean energy systems, bridging the gap between microscopic fluid-thermal phenomena and system-level performance evaluation.

AI-driven design and intelligent control of distributed energy systems, enabling adaptive, efficient, and resilient operation of complex energy networks.

Design and optimization of solar-thermal energy storage systems, addressing intermittency challenges and enhancing thermal management efficiency for renewable energy applications.

 

Through the integration of physics-based modeling and data-driven intelligence, I aim to advance next-generation energy systems that are efficient, low-carbon, and autonomously optimized, contributing to a sustainable and intelligent energy future.

 

My project experience includes leading a Marie Skłodowska-Curie Postdoctoral Fellowship and participating in several funded projects such as National Natural Science Foundation of China (NSFC) grants.

 

Projects:

[1] (Scientific lead) Marie Skłodowska-Curie Actions Postdoctoral Fellowships No. 101209457. Full spectrum enhanced photovoltaic thermal energy storage system. Approximately £240,000.
[2] (Involvement) Natural Science Foundation of China: No. 52476019. The electro photothermal and moisture coupling mechanism of adaptive absorber-based passive photovoltaic cooling and multiscale collaborative optimization. Approximately £40,000.

 

My scholarly output to date comprises 11 peer-reviewed journal publications and 7 conference papers, primarily focusing on energy systems, solar-thermal energy storage, and AI-assisted distributed energy systems. I am a reviewer for several journals, including Artificial Intelligence Review, Journal of Energy Storage, etc.

 

Representative Journal Papers:
[1] P Yan, Z Ding, W Wu. Cost strategy-integrated geometry selection of phase change material macro-capsule for latent thermal energy storage. Applied Energy. 2025, 402, 126883.
[2] P L Yan, C Wen, H B Ding, X H Wang, Y Yang. The potential of machine learning to predict melting response time of phase change materials in triplex-tube latent thermal energy storage systems. Applied Energy. 2025, 390, 125863.
[3] P L Yan, W J Fan, Y Han, H B Ding, C Wen, A F A Elbarghthi, Y Yang. Leaf-vein bionic fin configurations for enhanced thermal energy storage performance of phase change materials in smart heating and cooling systems. Applied Energy. 2023, 346, 121352.
[4] P L Yan, W J Fan, Y Yang, H B Ding, A Adeel, C Wen. Performance enhancement of phase change materials in triplex-tube latent heat energy storage system using novel fin configurations. Applied Energy. 2022, 327, 120064.

[5] C Cai, H Liu, M Jia, H C Yin, R Xie, P L Yan. Numerical investigation on heat transfer of water spray cooling from single-phase to nucleate boiling region. International Journal of Thermal Sciences. 2020, 151, 106258.

 

Representative Conference Presentations:

[1] P L Yan, Hongbing Ding, Ji Zhang, Gavin Tabor, Chuang Wen. Artificial Neural Network (ANN)-Assisted Multi-Objective Optimisation of Latent Heat Energy Storage System Design: Balancing Cost and Thermal Performance. 17th International Conference on Applied Energy (ICAE2025), 2025, Bangkok.
[2] P L Yan, Wei Wu. Geometry selection of phase change material macro-capsule based on unicellular zooplankton shapes. 3rd Asian Conference on Thermal Sciences (ACTS2024), 2024, Shanghai.
[3] P L Yan, W J Fan, C Wen. Melting performance enhancement of phase change materials for latent heat thermal energy storage using leaf vein bionic fin configurations. 2nd World Energy Storage Conference (WESC2022). 2022, Birmingham.
[4] P L Yan, W J Fan, C Wen. Melting enhancement of phase change materials in triplex-tube latent thermal energy storage systems using novel fin configurations. 4th cell press Beijing conference. 2022, Beijing. 
[5] P L Yan, W J Fan, C Wen. Melting performance enhancement of phase change materials for latent heat thermal energy storage using novel fin configurations. Proceedings of the 14th International Green Energy Conference (IGEC2022). 2022, Glasgow.

 

 

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