Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
SYSTEM DYNAMICS WITHIN TYPICAL DAYS OF A HIGH VARIABLE 2030 EUROPEAN POWER SYSTEM
University of Groningen.
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis. KTH Royal Institute of Technology.ORCID iD: 0000-0002-2535-4134
(English)In: Article in journal (Refereed) Submitted
Abstract [en]

The effect of variability in electricity generation on future high variable European power systems is a subject of extensive research within the current scientific literature. The common approach in these studies, regarding the assessment of the impact of the variability and related balancing assets, is by showing yearly aggregates (or longer) of results based on a variety of indicators. Although significant, these studies often lack in temporal details. This paper therefore focuses on the dynamics between load, generation, marginal cost and assets for balancing the generation variability, within a variety of typical days in a fully-integrated European power market. This is done by assessments of daily snapshots based on an hourly time resolution. The assessments underline the necessity of balancing assets, both during peaks as well as during lows in the output of variable generators. Interconnection capacity, electricity storage and demand response (DR) applications all contribute to renewables integration and to optimized utilization of cost-efficient generation capacity throughout the European power system. Important load flows from and towards load centers with high capacities of variable renewables are identified, as well as a significant role for transit countries with high interconnection capacities between these load centers. Despite the importance of electricity storage, it is shown that the traditional utilization of centralized electricity storage fleets becomes less viable with increasing penetration of variable renewables. A potential high CO2 price in the future European power market (€70-€75/MWh) can become a determining factor in the system dynamics. Large

Keyword [en]
Power system modelling; European power system; Variable renewables; Integrated energy market; Artelys Crystal Super Grid
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:kth:diva-226720OAI: oai:DiVA.org:kth-226720DiVA, id: diva2:1201470
Funder
EU, FP7, Seventh Framework Programme
Note

QC 20180427

Available from: 2018-04-25 Created: 2018-04-25 Last updated: 2018-05-04Bibliographically approved
In thesis
1. An analysis of factors influencing renewable energy deployment in the EU’s electricity sector
Open this publication in new window or tab >>An analysis of factors influencing renewable energy deployment in the EU’s electricity sector
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The EU has set itself ambitious short- and long-term decarbonisation targets: a reduction in greenhouse gas (GHG) emissions of 40% by 2030 and 80% by 2050, compared to 1990 levels. The power generation sector, currently responsible for around 55% of GHG emissions, is expected to contribute significantly to achieving the EU’s decarbonisation targets. Increasing the share of energy from renewable sources (RES), such as wind and solar, is an important step towards decarbonising the power generation sector. This dissertation analyses drivers, enablers, and barriers to renewable energy deployment in the EU’s electricity sector.

The transition to power generation from renewable energy sources is strongly driven by targets and policies. In this dissertation, past RES deployment trajectories in selected EU Member States (MS) are studied to identify the most effective drivers to increasing deployment in the past as well as barriers that may potentially hinder its progress. A meta-analysis of previous studies shows the significant variance in projected levels of RES-E shares in the EU. While no study is expected to accurately predict future levels of RES-E, the meta-analysis showed their sensitivity to underlying data, assumptions, and methodologies. However, not all projection studies - and the energy strategies based on them – explicitly state their underlying assumptions.

Technologies such as energy storage and smart grids can enable the increased penetration of variable RES by providing flexibility to the system. Here, the role and potential of large-scale electricity storage to enable higher shares of RES penetration is assessed using a combination of a long-term energy system (TIMES) and a power system model (PLEXOS). Further, the regulatory treatment of technologies such as energy storage is analysed and with suggested updates are provided to reflect their evolving role in the energy system. The thesis verifies findings in other studies that multiple benefits are required to justify battery storage in the EU until 2030. Further, this dissertation shows a clear correlation between degree of RES implementation and the value of storage. This is illustrated by the difference in feasibility of storage in the Reference scenarios and CO2 scenarios. Under current cost estimations and policy framework, there is no business case for large-scale electricity storage in the EU until 2030 with the technologies considered, but it may become feasible by 2050 in selected markets. Further studies - including how multiple benefits could be used and consideration of other storage technologies - would provide additional insights on the potential role of large-scale electricity storage. The current status of smart energy solutions - such as smart meters and demand side management – in the EU is also studied in this dissertation. The study finds that the current emphasis on smart meter roll-outs must be followed up with measures such as real-time pricing in order to achieve the full potential of smart energy solutions.Increasing the share of variable RES also brings with it significant challenges. As the EU moves towards an internal energy market, the role of cross-border interconnectors will become crucial. This dissertation highlights the role that cross-border interconnectors are expected to play - such as enabling large-scale integration of variable RES, preventing loss of load, and ensuring cost-effective power generation – through a power system model, with an hourly resolution, of the EU’s power system in 2030.

Finally, the transition to a system with high shares of variable RES must be achieved while maintaining, or improving upon, the high level of reliability currently enjoyed in the EU. Valuing electricity interruptions differently between EU MS may lead to mismatched incentives to improve reliability levels through cross-border interconnectors. This dissertation, for this first time, quantifies the differences in value of lost load for households across all twenty-eight EU Member States.

The EU is on track to meet its 2020 RES targets, which are legally binding at the Member State level. The targets set in the 2030 climate and energy framework are only legally binding at the EU level and this is seen as a risk since Member States may not be sufficiently incentivised to invest in RES deployment beyond 2020. This dissertation analyses selected drivers, barriers, and enablers of renewable energy deployment in the EU’s electricity sector to help achieve the EU’s stated decarbonisation targets. In particular, the potential role of large-scale electricity storage and cross-border interconnectors is highlighted as being of crucial importance. Finally, the variance in costs of electricity supply interruptions across the EU is also presented as a potential barrier to increased RES-E penetration.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2018. p. 94
Series
TRITA-ITM-AVL ; 2018-14
Keyword
renewable energy; energy storage; interruption costs; long-term energy models; cross-border interconnectors; European Union
National Category
Energy Systems
Identifiers
urn:nbn:se:kth:diva-227254 (URN)978-91-7729-787-1 (ISBN)
Public defence
2018-06-01, Q2, Osquldas väg 10, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20180507

Available from: 2018-05-07 Created: 2018-05-04 Last updated: 2018-05-07Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Shivakumar, Abhishek

Search in DiVA

By author/editor
Shivakumar, Abhishek
By organisation
Energy Systems Analysis
Energy Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 16 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf