EC1 - Deep-Tech Driven Energy Transformation

Deep-Tech Driven Energy Transformation is a postgraduate course focused on how advanced digital technologies are driving the shift towards low-carbon, sustainable energy systems. It explores the practical use of AI, IoT, digital twins and smart grids to optimise energy production, distribution and consumption, while embedding circular economy principles. Alongside the technical foundations, the course addresses human factors, energy justice and ethical decision-making, preparing students to lead and manage deep-tech energy initiatives with both technical confidence and social responsibility.

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AI-Driven Energy System Optimisation

Data-Driven Energy Infrastructure Design

Strategic Leadership for Energy Transition

Your 13-Week Journey

Using AI for forecasting, optimisation, and predictive maintenance in renewable and smart energy systems.

Understanding smart grid architectures that enable digitalisation, automation, and emissions reduction.

Exploring technologies and digital tools that enable energy-efficient, net-zero building performance.

Examining decentralised energy models, local energy sharing, and digital governance structures.

Analysing demand–response, peak-load management, and flexible energy markets.

Addressing human-centred design, safety, and human–AI interaction in energy ecosystems.

Using smart materials and sensors for lifecycle monitoring and circular maintenance strategies.

Applying IoT and edge–cloud architectures for real-time analytics and closed-loop operations.

Exploring equity, affordability, and inclusivity in digital energy transitions.

Assessing how digital technologies enable resilient, circular urban infrastructure.

Understanding energy grids as networks of interconnected digital twins.

Modelling renewable and storage systems using AI-enabled cyber-physical frameworks.

Applying AI-driven digital twins to optimise sustainable energy systems and assets.

Week 1 — Systems in Transition

See the world in systems.

Learn to rethink linear vs circular economies and explore planetary boundaries.

Week 2 — The Digital–Circular Nexus

Discover how tech enables sustainability.

Explore how AI, IoT, and data power circular innovation.

Week 3 — Policy as Infrastructure

Understand Europe’s circular blueprint.

Dive into the EU Green Deal, CEAP, and Digital Europe frameworks.

Week 4 — Designing for Re-entry

Design for durability, reuse, and remanufacturing.

Learn how digital twins and simulation tools extend product lifecycles.

Week 5 — Tracking Resources Through Data

Follow materials in motion.

Understand how IoT and data infrastructures create transparency in supply chains.

Week 6 — Blockchain for Accountability

Trust through transparency.

Explore blockchain’s potential for tracking, verification, and ethical assurance.

Week 7 — Learning Loops with AI

Let data drive regeneration.

See how AI and machine learning enable adaptive circular decision-making.

Week 8 — Cognitive Factories

Meet the new industrial symbiosis.

Examine how robotics and smart manufacturing create circular production systems.

Week 9 — Reverse Intelligence

Close the loop through recovery.

Explore reverse logistics, digital disassembly, and resource recovery networks.

Week 10 — Measuring Circularity

Turn data into progress.

Use metrics, KPIs, and dashboards to track circular performance.

Week 11 — Financing the Regenerative Future

Empower innovation.

Discover how deep-tech, investment, and valuation models support circular ventures.

Week 12 — Ethics and Mindsets

Lead with responsibility.

Reflect on ethics, human–machine collaboration, and the competences for circular leadership.

Week 13 — 2040 and Beyond

Imagine the future you want to build.

Learn to rethink linear vs circular economies and explore planetary boundaries.