Renewable Energy Forecasting: From Models to Applications: Woodhead Publishing Series in Energy
Editat de Georges Kariniotakisen Limba Engleză Hardback – 14 iun 2017
Due to shrinking fossil fuel reserves and concerns about climate change, renewable energy holds an increasing share of the energy mix. Solar, wind, wave, and hydro energy are dependent on highly variable weather conditions, so their increased penetration will lead to strong fluctuations in the power injected into the electricity grid, which needs to be managed. Reliable, high quality forecasts of renewable power generation are therefore essential for the smooth integration of large amounts of solar, wind, wave, and hydropower into the grid as well as for the profitability and effectiveness of such renewable energy projects.
- Offers comprehensive coverage of wind, solar, wave, and hydropower forecasting in one convenient volume
- Addresses a topic that is growing in importance, given the increasing penetration of renewable energy in many countries
- Reviews state-of-the-science techniques for renewable energy forecasting
- Contains chapters on operational applications
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Specificații
ISBN-13: 9780081005040
ISBN-10: 0081005040
Pagini: 386
Dimensiuni: 152 x 229 mm
Greutate: 0.66 kg
Editura: ELSEVIER SCIENCE
Seria Woodhead Publishing Series in Energy
ISBN-10: 0081005040
Pagini: 386
Dimensiuni: 152 x 229 mm
Greutate: 0.66 kg
Editura: ELSEVIER SCIENCE
Seria Woodhead Publishing Series in Energy
Public țintă
1) Research meteorologists and engineers responsible for building forecast models.2) Power forecast practitioners (e.g. wind/solar plant operators, grid operators, energy traders).
3) Researchers in academia (from post-graduate level upwards) working in the areas of energy meteorology, energy policy, grid integration and renewable energy in general.
Cuprins
Part I: Introduction to meteorology and measurement technologies
1. Principles of meteorology and numerical weather forecasting
2. Measurement methodologies for wind energy based on ground-level remote sensing
Part II: Methods for Renewable Energy Forecasting
3. Wind energy forecasting models
4. Mathematical Methods for Optimized Solar Forecasting
5. Solar power forecasting based on sky cameras
6. Short term solar power forecasting based on satellite images
7. Wave energy forecasting models
8. Forecasting intrahourly variability of wind generation
9. Characterisation of forecast errors and benchmarking of renewable energy forecasts
Part III: Applications of forecasting to power system management and markets
10. Renewable forecasting and electricity markets
11. Forecasting for the estimation of reserves into power systems
12. Forecasting for storage management
13. Dynamic line rating forecasting
14. The role of predictability in the investment phase of wind farms
1. Principles of meteorology and numerical weather forecasting
2. Measurement methodologies for wind energy based on ground-level remote sensing
Part II: Methods for Renewable Energy Forecasting
3. Wind energy forecasting models
4. Mathematical Methods for Optimized Solar Forecasting
5. Solar power forecasting based on sky cameras
6. Short term solar power forecasting based on satellite images
7. Wave energy forecasting models
8. Forecasting intrahourly variability of wind generation
9. Characterisation of forecast errors and benchmarking of renewable energy forecasts
Part III: Applications of forecasting to power system management and markets
10. Renewable forecasting and electricity markets
11. Forecasting for the estimation of reserves into power systems
12. Forecasting for storage management
13. Dynamic line rating forecasting
14. The role of predictability in the investment phase of wind farms