Nov 14, 2019
Book Publication “Technological Learning in the Transition to a Low-Carbon Energy System”
Book Publication „Technological Learning in the Transition to a Low-Carbon Energy System“
Technological Learning in the Transition to a Low-Carbon Energy System
Conceptual Issues, Empirical Findings, and Use, in Energy Modeling
Description
The book publication "Technological Learning in the Transition to a Low-Carbon Energy System: Conceptual Issues, Empirical Findings, and Use in Energy Modeling" quantifies key trends and drivers of energy technologies deployed in the energy transition. The manuscript and concept of the book was developed as part of the REFLEX project, which was funded by the EU-Horizon 2020 research and innovation program (GA-No. 691685) reflex-project.eu/.
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 implemented in models and addresses methodological challenges and solutions.
For each technology, current market trends, past cost reductions and 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 decarbonization climate targets can be reached - and at what costs. The book also addresses lessons and recommendations for policymakers, industry and academics, including key technologies requiring further policy support, and what scientific knowledge gaps remain for future research.
Key Features
- Provides a comprehensive overview of trends and drivers for major energy technologies expected to play a role in the energy transition
- Delivers data on cost trends, helping readers gain insights on how competitive energy technologies may become, and why
- Reviews the use of learning curves in environmental impacts for lifecycle assessments and energy modeling
- Features social learning for cost modeling and technology diffusion, including where consumer preferences play a major role
Readership
- Researchers studying energy technologies
- Energy system modelers
- Energy economists
- Utilities, technology manufacturers, grid operators
- Policy makers involved in energy policy
Table of Contents
Part I
- Introduction
- The Experience Curve: Concept, History, Methods and Issues
- Implementation of Experience Curves in Energy and Climate Models
- Novel Approaches in Applications of Experience Curves and Technological Learning
Part II Case Studies
05. Photovoltaic Modules, Balance-of-System Components and Systems
06. Onshore Wind
07. Offshore Wind
08. Technological Learning for Grid-Scale Energy Storage
09. 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
Details
Editors:
Prof. Dr. Martin Junginger (Professor Biobased Economy, Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, the Netherlands)
Dr. Atse Louwen (Researcher, Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, Netherlands & Institute for Renewable Energy, Eurac Research, Bolzano/Bozen, Italy)
No. of pages: 340
Language: English
Copyright: © Academic Press 2020
Published: 1st December 2019
Imprint: Academic Press
Paperback ISBN: 9780128187623
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