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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 by providing rigorous, evidence-based insights for government and industry. Bridging engineering, social sciences, and industrial practice, we leverage advanced data analytics and energy systems modeling. By integrating the study of energy systems with human behavior, we develop optimal energy policies and innovative strategies for a sustainable future.
Research Areas
Energy, Climate, and Environmental Economics and Policy
Technology and Innovation Management
Macro-Energy Systems, Integrated Energy Systems Planning, Sector Coupling
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 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).
[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.
Our research is at the intersection of engineering, social sciences, and industries
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