Abstract
To analyze the transition toward a low-carbon energy system and to develop appropriate policy measures toward this goal, large efforts are currently taking place to model future layouts of our energy system. In this context, it is important to consider the technological progress in energy-system technologies to take into account how this progress affects technology cost and deployment. In this chapter, we discuss the implementation of experience curves in energy modeling. Experience curves allow for endogenous modeling of cost reductions resulting from technological progress and are, therefore, widely applied in energy modeling. Several issues with implementation of experience curves in energy modeling are discussed, as well as possible solutions.
| Original language | English |
|---|---|
| Title of host publication | Technological Learning in the Transition to a Low-Carbon Energy System |
| Subtitle of host publication | Conceptual Issues, Empirical Findings, and Use in Energy Modeling |
| Editors | Martin Junginger, Atse Louwen |
| Publisher | Academic Press |
| Chapter | 3 |
| Pages | 33-47 |
| Number of pages | 15 |
| ISBN (Electronic) | 978-0-12-818762-3 |
| DOIs | |
| Publication status | Published - 2020 |
Keywords
- Agent-based model
- Bottom-up energy models
- Energy modeling
- Experience curves
- Optimization model
- Simulation model
- Technological learning
- Technological progress
- Top-down energy models