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Impacts of Decentralized Power Generation on Distribution Networks: a Statistical Typology of European Countries
- Source :
- Environmental Modeling & Assessment, Environmental Modeling & Assessment, Springer, 2018, 23 (5), ⟨10.1007/s10666-018-9621-7⟩
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- The development of decentralized sources of power out of renewable sources of energies has been triggering far-reaching consequences for Distribution System Operators over the past decade in Europe. Our paper benchmarks across 23 European countries the impact of the development of renewables on the physical characteristics of power distribution networks and on their investments. It builds on a large spectrum of databases of quantitative indicators about the dynamics of installed capacity of renewable energy resources and the power generation out of them, electricity independence, quality of electricity distribution, smart grids investments, Network System Operators capital expenditures, length of the distribution networks, overall costs of power networks paid by private agents, and electricity losses, all in relation with the development of decentralized generation. The heterogeneity of these indicators across Europe appears to be wide notably because of physical constraints, historic legacies, or policy and regulatory choices. A cluster analysis allows for deriving six groups of countries that display statistically homogenous characteristics. Our results may provide decision makers and regulators with a tool helping them to concentrate on the main issues specific to their countries as compared to the European median, and to look for possible solutions in the experience of other clusters which are shown to perform better for some indicators.
- Subjects :
- Engineering
020209 energy
Electric utilities
02 engineering and technology
7. Clean energy
Electric power system
Cluster analysis
jel:Q42
11. Sustainability
0202 electrical engineering, electronic engineering, information engineering
media_common.cataloged_instance
European union
General Environmental Science
media_common
Electric power distribution
[QFIN]Quantitative Finance [q-fin]
JEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q4 - Energy/Q.Q4.Q42 - Alternative Energy Sources
business.industry
JEL: L - Industrial Organization/L.L9 - Industry Studies: Transportation and Utilities/L.L9.L94 - Electric Utilities
1. No poverty
Environmental economics
jel:C38
jel:L94
Renewable energy
Nameplate capacity
Smart grid
Electricity generation
Economy
Distribution networks
13. Climate action
Renewables, Electric utilities, Distribution networks, Cluster analysis
Renewables
business
Energy source
JEL: C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C38 - Classification Methods • Cluster Analysis • Principal Components • Factor Models
Subjects
Details
- ISSN :
- 15732967 and 14202026
- Volume :
- 23
- Database :
- OpenAIRE
- Journal :
- Environmental Modeling & Assessment
- Accession number :
- edsair.doi.dedup.....eb62b8dded98c16e0d2d875e75f8575f