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handle: 10044/1/76057
This dataset contains the supporting materials for the PhD thesis "Global Electricity Sector Decarbonization Modelling". The following list of data packages and files are compiled from this research outputs. Data Package 1: The main output datasets File 1: Definition of the zones in this study File 2: Statistics on land cover pixels updated from OSM File 3: Validation of the eligibility masks with existing sites File 4: Validation of the estimated CF profile for EU countries File 5: Summary of the available area, technical potential and capacity potential in this study File 6: Aggregation of the estimated 10-year hourly CF into 288 month-hour profile File 7: The projection of electricity demand profile for each zone in 288 month-hour profile File 8: The overall aggregated output covariance matrices for each country Data Package 2: The estimated 10-years hourly capacity factor of all available technologies and capacity factor tranches in every zone in the world Data Package 3: The solutions of optimal climate-related energy mix with different objectives in global electricity systems Data Package 4: The modelling results of electricity sector decarbonization pathways by country/district Data Package 5: Python scripts of the electricity sector decarbonization modelling framework
330, Global Electricity
330, Global Electricity
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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