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Research Areas
에너지정책 및 혁신전략 연구실
Energy Policy and Innovation Strategy for Sustainable Development
The Energy Policy and Innovation Strategy Lab advances the global transition to sustainable energy through rigorous, evidence-based research that informs policy and strategic decision-making. Bridging engineering, social science, and industrial practice, we leverage advanced AI, data analytics, and energy systems modeling to address complex energy challenges. By integrating technological systems with human behavior, we develop energy policies and innovation strategies that are both technically sound and socially feasible.
Research Areas
Energy, Climate, and Environmental Economics and Policy
Technology and Innovation Management
Macro-Energy Systems, Sector Coupling, Integrated Energy Systems Modeling
AI-Powered Social Simulation for Energy Transition
(Synthetic Population and LLM Agent Framework for Energy Policy Analysis)Complex Socio-Technical Systems Modeling and Analysis
(Human Behavior models, Energy-Environment-Economy(E3) - Integrated Assessment models...)Economic Valuation and Feasibility Analysis, Cost-Benefit Analysis
Consumer Behavior and Demand Analysis, Behavior and Experimental Economics, Decision Analysis
Computational Social Science, Causal Inference, Data Science, Machine Learning, Applied Bayesian Econometrics
Patent Analysis, Technology Forecasting
Actionable Pathways to Net-Zero Carbon:
We design energy solutions that are technically optimized, behaviorally realistic, and socially embraced.
As energy systems transition toward net-zero carbon, technically optimal solutions do not always succeed in the real world.
We study the gap between technical optimization and social feasibility, and combine engineering with social science to design practical, actionable pathways for net-zero.
[Research Area 1] Macro-Energy Systems & Integrated Energy Systems Planning
We develop feasible and cost-effective long-term energy transition pathways at the national and global scales through an interdisciplinary approach combining engineering and social science.
We build open-source optimization models for integrated energy system investment and operation, moving beyond electricity-centered models to include sector coupling across power, heat, transport, and P2X (PyPSA-Korea).
We incorporate quantified human behavior and preferences—such as EV charging, V2G participation, demand flexibility, and local acceptance—into energy system planning models.
We evaluate industry-specific decarbonization pathways and their technological, economic, social, and environmental implications.
[Research Area 2] Market & Behavioral Intervention Design
We study how market interventions, including real-time pricing (RTP), time-of-use pricing (TOU), and carbon taxes, shape consumer behavior, energy system performance, and carbon outcomes.
We test the effectiveness of behavioral interventions—such as information provision and nudges—using experimental and behavioral economic approaches.
We measure the actual impact of energy and climate policies using causal inference methods such as causal forests and difference-in-differences (DID).
We develop behavioral and agent-based models using survey data, discrete choice experiments, synthetic populations, and LLM agents to simulate how households, firms, and consumers respond to energy policies and market interventions.
[Research Area 3] Acceptance & Justice in Energy Transitions
We study public acceptance of energy and environmental technologies, as well as large-scale infrastructure, and identify technical and policy solutions to reduce conflict and improve social acceptance.
We examine how the costs and benefits of net-zero transitions are distributed across regions and social groups, and develop pathways and policy solutions grounded in energy justice.
We use AI synthetic population-based social simulation to assess public acceptance, distributional impacts, and social feasibility of energy infrastructure and climate policies across regions and communities.
Our research is at the intersection of engineering, social sciences, and industries
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