Optimal Allocation and Capacity of Energy Storage Systems in a Future European Power System with 100% Renewable Energy Generation

Bußar, Christian; Moos, Martin; Alvarez, R.; Wolf, Philipp; Thien, Tjark; Chen, Hengsi; Cai, Zhuang; Leuthold, M.; Sauer, Dirk Uwe; Moser, Albert

doi:10.1016/j.egypro.2014.01.156

Cited by 100 publications

(63 citation statements)

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“…Weather data covering multiple years are converted into prospective wind and solar power generation with good spatial and temporal resolution [21,22,[30][31][32], and are then used as the driving force in networked electricty system models. This modelling approach has produced estimates on the required amount of conventional backup power plants, transmission lines and storage [22][23][24][25][26][27][28][33][34][35][36][37][38]. Also the optimization of levelized system cost of energy has been addressed and has led to new design concepts, such as the optimal heterogeneity and the benefit of cooperation [29,[39][40][41][42].…”

Section: Introductionmentioning

confidence: 99%

Principal Mismatch Patterns Across a Simplified Highly Renewable European Electricity Network

et al. 2017

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Due to its spatio-temporal variability, the mismatch between the weather and demand patterns challenges the design of highly renewable energy systems. A principal component analysis is applied to a simplified networked European electricity system with a high share of wind and solar power generation. It reveals a small number of important mismatch patterns, which explain most of the system's required backup and transmission infrastructure. Whereas the first principal component is already able to reproduce most of the temporal mismatch variability for a solar dominated system, a few more principal components are needed for a wind dominated system. Due to its monopole structure the first principal component causes most of the system's backup infrastructure. The next few principal components have a dipole structure and dominate the transmission infrastructure of the renewable electricity network.

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Section: Introductionmentioning

confidence: 99%

Principal Mismatch Patterns Across a Simplified Highly Renewable European Electricity Network

et al. 2017

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“…Each of these models addresses a different system size and aspect of technological diversity. While most of these models are based on optimization ( [1], [3], [4]), others (such as [2]) use a pre-defined hierarchy for power plant dispatch or an agent-based approach [5]. What all these models have in common is a cost-driven dispatch of power plants and balancing measures.…”

Section: Dispatch Models For Renewable Energy Systemsmentioning

confidence: 99%

“…Within the last decade particularly, many models have been developed and proven useful by producing feasible results for the components of complex energy system behaviour (e.g. [1], [2], [3], [4]). Each of these models addresses a different system size and aspect of technological diversity.…”

Section: Dispatch Models For Renewable Energy Systemsmentioning

confidence: 99%

Modelling the interdependencies of storage, DSM and grid-extension for Europe

Krüger

Buddeke

Merten

et al. 2015

2015 12th International Conference on the European Energy Market (EEM)

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“…5 Bussar et al (2014) present a large-scale dispatch and investment model for Europe and the MENA region. Within a 100% renewables scenario, they isolate the different roles for three types of storage: short-term battery systems to accommodate fluctuating RES generation, mid-term pumped hydro storage, and long-term hydrogen storage for seasonal balancing.…”

Section: Dispatch and Investment Modelsmentioning

confidence: 99%

A Greenfield Model to Evaluate Long-Run Power Storage Requirements for High Shares of Renewables

Zerrahn

Schill

2015

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. We develop a dispatch and investment model to study the role of power storage and other flexibility options in a greenfield setting with high shares of renewables. The model captures multiple system values of power storage related to arbitrage, dispatchable capacity, and reserves. In a baseline scenario, we find that power storage requirements remain moderate up to a renewable share of around 80%, as other options on both the supply side and demand side also offer flexibility at low cost. Yet storage plays an important role in the provision of reserves. If the renewable share increases to 100%, the required capacities of power storage and other technologies increase strongly. As long-run parameter assumptions are highly uncertain, we carry out a range of sensitivity analyses, for example, with respect to the costs and availabilities of storage and renewables. A common finding of these sensitivities is that -under very high renewable shares -the storage requirement strongly depends on the costs and availability of other flexibility options, particularly on biomass availability. We conclude that power storage becomes an increasingly important element of a transition towards a fully renewable-based power system. Power storage gains further relevance if other potential sources of flexibility are less developed. Supporting the development of power storage should thus be considered a useful component of policies designed to safeguard the transition towards renewables. Terms of use: Documents in

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Optimal Allocation and Capacity of Energy Storage Systems in a Future European Power System with 100% Renewable Energy Generation

Cited by 100 publications

References 1 publication

Principal Mismatch Patterns Across a Simplified Highly Renewable European Electricity Network

Principal Mismatch Patterns Across a Simplified Highly Renewable European Electricity Network

Modelling the interdependencies of storage, DSM and grid-extension for Europe

A Greenfield Model to Evaluate Long-Run Power Storage Requirements for High Shares of Renewables

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