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  • 297
    Citations - based on content available in repository [source: Scopus]
20222026

Content available in repository

Personal profile

Research profile

Lingkang Jin's research focuses on developing multi-physics asset integration and energy systems modeling through mathematical programming with support of AI and Machine Learning tools to reduce computational burdens.

He is a postdoctoral researcher at Electrical Engineering department,  Electrical Energy Systems group, at Eindhoven University of Technology (TU/e).

Currently working on:

- Multi-physics based energy systems modeling

- Surrogate mode ( AI/ML) for the complex optimization models 

 - Power systems and energy systems planning and scheduling

Academic background

Obtained a master’s degree in mechanical engineering with thesis focused on a preliminary project on a offshore wind farm in the Mediterranea Sea.


Ph.D in Energy Systems at Università Politecnica delle Marche, Italy (UnivPM), with the thesis title “Energy storage in multi-energy carrier communities: Li-ion batteries and hydrogen multi-physical details for
integration into the planning stage”.

Quote

Nothing in life is to be feared, it is only to be understood. Now is the time to understand more, so that we may fear less. (Maria Skłodowska-Curie)

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  4. SDG 13 - Climate Action
    SDG 13 Climate Action

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Collaborations and top research areas from the last five years

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