Research

I study how low-carbon transitions move from end-use demand and technology pathways, through spatial infrastructure and supply chains, to hourly power-system operation and resilience.

Research areas

Transport energy systems

Large-scale optimization of technology, fuel, and infrastructure choices for passenger and freight mobility.

I study how transport demand, vehicle technologies, energy carriers, and infrastructure evolve together on the path to net-zero emissions. The work considers not only direct energy use and emissions, but also upstream energy, fleet turnover, and material demand.

Electric mobility and power systems

Charging, vehicle-to-grid flexibility, and resilience at the transport–power interface.

This research connects electric-vehicle behavior and charging infrastructure with power-system operations and planning. It asks when flexible charging can create reliable system value and how that value changes across locations, transition pathways, and climate conditions.

Hydrogen and low-carbon fuels

Infrastructure and fuel choices for transport applications that are harder to electrify.

I evaluate hydrogen and hydrogen-derived fuels for long-distance transport, ports, and airports, combining spatial infrastructure analysis with techno-economic assessment to examine where production, transport, and demand can be coordinated effectively.

Energy systems modeling and optimization

Formulation, decomposition, and efficient solution of coupled large-scale system models.

I develop and connect optimization, integrated-assessment, and data-driven models to examine interactions among end-use transitions, power systems, climate stress, and long-term policy. The emphasis is on transparent boundaries and evidence that can inform real infrastructure decisions.

Current work

EV flexibility and power-system resilience under climate stress — Working paper

Question: How do historically grounded extreme-weather events alter operational stress in a future power system, and when can smart charging or vehicle-to-grid operation provide credible resilience value?

Methods: Climate-stress event construction · fixed-capacity system replay · PyPSA-China

Spatial supply chains for hydrogen-derived fuels — Research in progress

Question: Where should hydrogen, ammonia, methanol, and sustainable-aviation-fuel equivalents be produced, and how should strategic transport infrastructure evolve as demand changes across China?

Methods: GIS · multi-period mixed-integer optimization · techno-economic analysis

Charging-infrastructure retrofit planning — Model development

Question: How should photovoltaic generation and battery storage be sized across heterogeneous public charging stations, and how do economic and lifecycle-emissions objectives change the preferred deployment strategy?

Methods: Station-level data · capacity sizing · lifecycle and techno-economic assessment

Coupling long-term pathways with hourly power-system analysis — Method development

Question: How can national and provincial transition scenarios be translated into spatially and temporally explicit power-system inputs without losing traceability across model boundaries?

Methods: China TIMES · PyPSA-China · Python-based scenario interfaces and quality assurance

Toolkit

• Long-term transition modeling — China TIMES 2.0 and China TIMES-30PE. National and provincial pathways, technology change, and cross-sector interactions.

• Power-system analysis — PyPSA-China. Hourly system operation, investment, flexibility, and regional coordination.

• Spatial infrastructure — GIS and network optimization. Node-level demand and supply, transport links, candidate corridors, and regional heterogeneity.

• Decision models — Linear and mixed-integer optimization. Technology choice, capacity planning, logistics, and operational constraints.

• Research computing — Python, GAMS, and reproducible scenario workflows. Data preparation, model orchestration, quality assurance, analysis, and visualization.