Summer School in Energy Informatics 2026
Climate-Constrained Transitions: From Climate Necessity to Institutional Feasibility
12-13 October 2026, Sino-Danish College (SDC), Beijing, China
Program at a Glance
This two-day summer school offers a structured and in-depth exploration of Energy Informatics for climate-constrained energy transitions, bridging climate science, data-driven system analysis, and institutional governance.
Participants will be guided from Paris-aligned climate pathways and demand-side mitigation analysis to the governance and regulatory conditions that shape how digital energy systems, data, and artificial intelligence can be deployed in practice. Through lectures, guided reading, and interactive group work, the program emphasizes analytical reasoning across scales, from national transition targets to system design and policy feasibility.
Location: Lecture room, the SDC Building
Address:
Sino-Danish Center
University of Chinese Academy of Sciences – Yanqihu Campus
No.1 Yanqihu East Road
Huairou District, Beijing
China​
Detailed Program Schedule
Day 1 – Climate-Constrained Energy Transitions and Demand-Side Mitigation
Focus: Climate necessity and system-level constraints
Learning Objectives Knowledge
Participants will:
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Understand Paris-aligned temperature targets and associated carbon budgets
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Learn how national emissions pathways are derived from climate constraints
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Understand the role of demand-side mitigation in meeting system-wide targets
Learning Objectives Skills
Participants will:
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Interpret multi-model pathway results and scenario figures
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Analyze mitigation levers across sectors and scales
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Connect micro-level consumption behavior to macro-level climate targets
Learning Objectives Competences
Participants will:
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Critically assess climate mitigation strategies under physical constraints
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Reason across scales without conflating behavioral feasibility and system necessity
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Communicate climate-constrained narratives grounded in quantitative evidence
Day 2 –Policy, Regulation, and Governance of Digital Energy Systems
Focus: Institutional and regulatory feasibility
Learning Objectives - Knowledge
Participants will:
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Understand how regulation shapes digital energy systems
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Learn core regulatory domains affecting AI and data in energy
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Understand compliance challenges in large-scale digitalization
Learning Objectives - Skills
Participants will:
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Translate legal requirements into system design constraints
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Analyze regulatory risks and governance trade-offs
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Apply compliance-by-design thinking to energy informatics solutions
Learning Objectives - Competences
Participants will:
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Evaluate digital energy solutions beyond technical performance
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Integrate governance considerations into research and system design
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Communicate policy-aware energy informatics concepts
