• Brovej, 118, 222

    2800 Kgs. Lyngby


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Personal profile


I am an associate professor at DTU Civil Engineering. I have been working on smart energy systems and smart cities projects, including IFD CITIES, EUDP EnergyLab Nordhavn, EUDP IEA EBC Annex 67 and Annex 82, IFD SEM4Cites, EU Combiotes, and EU ARV. My focus in the projects is on building energy flexibility including thermal and electrical flexibility, using modelling and data-driven approaches. 

I am the operating agent of the IEA EBC Annex 82, an international collaboration running from 2020 to 2025 on energy flexible buildings towards resilient low-carbon energy systems. I am also a board member of the Horizon Europe R&I partnership Built4People, contributing to defining the built environment's research topics in Horizon Europe.

I have (co)supervised seven Ph.D. students who graduated successfully, and I am (co)supervising two working on energy flexibility in buildings and districts using data-driven approaches. I have been a member of evaluation committees for Ph.D. theses for universities including UC Dublin, TU Eindhoven, Chalmers University of Technology, Norwegian university of science and technology, etc.

My research interest includes smart cities, smart buildings, energy demand flexibility, energy system modelling, big data analysis, data mining, building physics and services. I have published many manuscripts in high-profile scientific journals, e.g., Applied Energy, Energy, Energy and Buildings, Applied Thermal Engineering, etc. 

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):

  • SDG 7 - Affordable and Clean Energy
  • SDG 11 - Sustainable Cities and Communities


  • User defined:
  • Smart buildings
  • Building physics and services
  • Building energy system modelling
  • Energy flexibility
  • Smart cities
  • Data mining
  • Machine learning/AI


Dive into the research topics where Rongling Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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