Vertical D: Energy Grids
- Description
- Curriculum
- Reviews
The module presents a comprehensive exploration of cutting-edge developments in energy systems, beginning with an in-depth examination of smart grids. This first sub-module traces the evolution from traditional power networks to modern, dynamic systems characterized by bidirectional energy flows, decentralized control, and real-time data-driven decision-making. It emphasizes the critical triad of hardware, software, and connectivity that enables these advanced grid technologies.
The super grids sub-module expands the perspective to global energy interconnection, discussing the potential for large-scale renewable energy transmission using High-Voltage Direct Current (HVDC) technologies. It explores the Global Energy Interconnection (GEI) concept, highlighting the challenges and opportunities of creating a worldwide energy grid that can efficiently distribute renewable resources across vast distances.
The prosumer community section introduces a transformative approach to energy management, defining prosumers as entities that both generate and consume energy. This sub-module delves into the social and technological dynamics of communities where individuals actively participate in energy production and trading, emphasizing the importance of aligned social incentives and collective behavioral adaptation.
The artificial intelligence sub-module demonstrates AI’s potential in addressing complex energy challenges, providing a comprehensive classification of AI algorithms and showcasing their applications in electricity systems. From price analysis to grid resilience and electric vehicle infrastructure management, the lecture illustrates how AI can provide unprecedented insights into energy management.
The final sub-module focuses on market-based clean energy management, tracing the evolution of electricity markets from monopolistic structures to increasingly competitive systems. It examines the unique characteristics of electricity as a commodity, explores different market models, and addresses the economic challenges posed by renewable energy sources through innovative approaches like ancillary services markets and capacity pricing.
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1.2D.1. Smart GridsThe lecture explores smart grids as a key enabler of the energy transition, focusing on their evolution from traditional grids, core technologies, and operational advantages. It highlights how digitalization, IoT, AI, and bidirectional energy flows improve efficiency, reliability, and renewable energy integration. The session also covers smart grid components, cybersecurity challenges, and the role of consumer participation in modern energy systems.
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1.2D. Quiz: Smart Grids -
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1.2D.2. Super Grids
The lecture explores the concept of super grids as a solution for integrating large-scale renewable energy sources globally. It examines the role of High-Voltage Direct Current (HVDC) technology in enabling efficient long-distance electricity transmission, discusses the potential of Global Energy Interconnection (GEI), and highlights the geopolitical, technical, and regulatory challenges. The session also analyzes hybrid HVAC-HVDC networks as a strategy for supporting the EU’s energy transition.
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1.2D. Quiz: Super Grids
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1.2D.3. Prosumer Community
The lecture explores the concept of prosumer communities, focusing on how individuals can simultaneously produce and consume energy through renewable sources. It discusses the evolution of energy grids from centralized, unidirectional systems to decentralized, bidirectional networks where consumers actively participate in energy generation and trading. The presentation examines the social and technical dynamics of prosumer communities, highlighting their potential for enhancing grid resilience, sustainability, and carbon neutrality at the local level.
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1.2D. Quiz: Prosumers
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1.2D.4. AI for Grids and Energy
The lecture explores the applications of artificial intelligence in electricity systems, examining how big data and AI can address challenges in power grids. It covers the classification of AI algorithms, their potential in technical and socio-technical domains, and provides numerous examples of AI applications in energy management, from grid resilience to market analysis and electric vehicle integration.
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1.2D. Quiz: AI
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1.2D.5. Tools for Clean Energy Management - Market based Approach
The lecture explores the evolution of electricity markets, focusing on liberalization levels, market structures, and strategies for managing renewable energy sources. It discusses the unique characteristics of electricity as a commodity, different market models, and introduces concepts like capacity pricing and ancillary services to address challenges posed by renewable energy integration.
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1.2D. Quiz: Clean Energy Management
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Introduction to Clean Tech & Industry Decarbonisation
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What is Prerequisite module?A prerequisite is a specific module that you must complete before you can take the next module.
