Qi Ding

Qi Ding

Ph.D. candidate in Management Science and Engineering at Tsinghua University, developing and solving large-scale optimization models of power and energy systems.

Qi Ding

I am a Ph.D. candidate in Management Science and Engineering at the Institute of Energy, Environment, and Economy, Tsinghua University. I build and solve large-scale optimization models of power and energy systems, combining mathematical programming with data-driven methods.

My work centers on system-level optimization problems:

  • Large-scale optimization: linear and mixed-integer programming for energy system planning, capacity expansion, and operational scheduling
  • Power systems: hourly operations, investment, flexibility, and regional coordination, modeled at provincial and national scale
  • Spatial infrastructure: mixed-integer models of production, conversion, and transport networks for energy carriers
  • Model development: formulation, decomposition, and efficient solution of large instances, with reproducible workflows in Python, GAMS, and PyPSA-China

I care about the mathematics, the computational tractability, and the credibility of the solution — not just the story around it.

News

  • Jul 2026 — Our study of shared autonomous electric vehicles and China’s passenger-transport transition was published online in Applied Energy. [link]

  • Jun 2026 — Presented a sector-coupled framework linking end-use flexibility, climate stress, and power-system analysis at IAMC19. [link]

  • Apr 2026 — The multi-model study Commonalities and differences in national pathways toward net-zero emissions was posted as a Research Square preprint. [link]

  • Feb 2026 — Our provincial assessment of retired EV-battery supply and storage demand appeared in Energy Proceedings. [link]

Selected publications

  • Assessing China’s Province-Coordinated Power System Carbon-Neutral Transition Pathway — Journal of Energy and Climate Change, 1(1), 1–15, 2025

  • Retired Battery Supply and Energy Storage Demand in China: A Provincial-Scale Assessment — Energy Proceedings, Vol. 65 (ICAE 2025), 2026

  • The role of shared autonomous electric vehicles in decarbonizing China’s passenger transport sector — Applied Energy, 422, 128259, 2026

See all publications, research areas, and my CV for details.