Technological Learning in the Transition to a Low-Carbon Energy System: Conceptual Issues, Empirical Findings, and use in Energy Modeling

Technological Learning in the Transition to a Low-Carbon Energy System quantifies key trends and drivers of energy technologies deployed in the energy transition. It uses the experience curve tool to show how future cost reductions and cumulative deployment of these technologies may shape the future mix of the electricity, heat and transport sectors. The book explores experience curves in detail, including possible pitfalls and demonstrates how to quantify the 'quality' of experience curves. It discusses how this tool is currently implemented in models and addresses methodological challenges and solutions. It also explores new applications of the concept, such as the ex-ante assessment of environmental impacts of energy technologies. The book adopts experience curves for major energy technologies relevant to the energy transition. For each technology, current market trends, past cost reductions & underlying drivers, available experience curves, and future prospects are considered. Electricity, heat and transport sector models are explored in depth to show how the future deployment of these technologies, and their associated costs, determine whether ambitious decarbonisation climate targets can be reached - and at what costs. The book also addresses lessons and recommendations for policy makers, industry and academics, including key technologies requiring further policy support, and what scientific knowledge gaps remain for future research. Provides a comprehensive overview of trends and drivers for major energy technologies expected to play a role in the energy transitionDelivers data on cost trends, helping readers gain insights on how competitive energy technologies may become, and whyReviews the use of learning curves in environmental impacts for life cycle assessments and energy modelingFeatures social learning for cost modeling and technology diffusion, including where consumer preferences play a major role INDICE: Part I 1. Introduction (1 chapter) 2. The Experience Curve: Concept, History, Methods and Issues 3. Implementation of Experience Curves in Energy and Climate Models 4. Novel approaches in applications of experience curves and technological learning Part II Case Studies 5. Photovoltaic Modules, Balance-of-System Components and Systems 6. Onshore wind 7. Offshore wind 8. Technological learning for grid-scale energy storage 9. Battery Electric Vehicles 10. Hydrogen Electrolysis 11. Residential Heating 12. Concentrated solar power 13. Experience Curves for LED lighting Part III Application of Experience Curves in Modeling 14. Experience Curves in Energy Models - Lessons Learned in REFLEX 15. Global EV market development dependent on battery prices and learning curves simulated by model coupling Part IV Final words 16. Synthesis

• ISBN: 978-0-12-818762-3
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 256
• Fecha Publicación: 01/02/2020
• Nº Volúmenes: 1
• Idioma: Inglés