Energiesysteme: regenerativ und dezentral

Brauner, Günther

doi:10.1007/978-3-658-12755-8

Cited by 13 publications

(5 citation statements)

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“…Similarities do by no means occur only on a macro level, as developments such as market liberalisation, digital transformation and national energy transition deepen parallels and connections on company level likewise. While banks have always been intermediaries between savers and borrowers, energy providers' long-established roles as producers, distributers and suppliers of electrical power commence to change and tend to become intermediaries (Brauner 2016: 172, Doleski 2016. Especially the energy transition leads to a more decentralised energy production and new encounters for energy companies: as returns in energy generation revenue decrease, new infrastructural challenges arise, novel actors and business models enter the markets, sectors converge, digital technologies allow innovative solutions and administrating and accompanying services become more important.…”

Section: Part Ii: Energy Sectormentioning

confidence: 99%

“…Especially the energy transition leads to a more decentralised energy production and new encounters for energy companies: as returns in energy generation revenue decrease, new infrastructural challenges arise, novel actors and business models enter the markets, sectors converge, digital technologies allow innovative solutions and administrating and accompanying services become more important. Analogous to banks offering services about money and credits, energy companies start offering services instead merely selling electricity as a product (Brauner 2016: 172, Doleski 2016). In the following chapter, aspects of digitalisation within the energy sector, paralleling the developments in banking, will be depicted exemplarily.…”

Section: Part Ii: Energy Sectormentioning

confidence: 99%

“…The ongoing energy transition challenges the German energy system and opens up new demands for services beyond electricity production. The existing infrastructure was built on the requirements of a centralised energy generation system (Brauner 2016, Scheffler 2016). Energy grids were designed for top-down distribution, from large scale generation units through different grid levels towards the consumption of commercial and private users at the lower tier grids (Scheffler 2016).…”

Section: Energy Transitionmentioning

confidence: 99%

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Digitalisation and (De)Centralisation in Germany - a Comparative Study of Retail Banking and the Energy Sector

Flögel¹,

Beckamp²

2020

SSRN Journal

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Discussion papers of the IAT serve to disseminate the research results of work in progress prior to publication to encourage the exchange of ideas and academic debate. Inclusion of a paper in the discussion paper series does not constitute publication and should not limit publication in any other venue. The discussion papers published by the IAT represent the views of the respective author(s) and not of the institute as a whole.

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Section: Part Ii: Energy Sectormentioning

confidence: 99%

Section: Part Ii: Energy Sectormentioning

confidence: 99%

Section: Energy Transitionmentioning

confidence: 99%

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Digitalisation and (De)Centralisation in Germany - a Comparative Study of Retail Banking and the Energy Sector

Flögel¹,

Beckamp²

2020

SSRN Journal

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“…In this review, we focus on integrated, grid-based MES for three main reasons: (1) for a decarbonisation of the global energy system, fossil fuels must be substituted by renewable electricity [20], (2) the integration of fluctuating RES is especially a challenge for the electricity grid [21] and (3) an integrated MES approach supports a better utilisation of volatile RES and existing grid infrastructures [22].…”

Section: Motivationmentioning

confidence: 99%

“…The estimation of future energy demand and the required energy infrastructure can have significant influence on the future of energy supply [11]. In order to achieve a low-carbon emission future, energy demand must, in addition to energy supply, be addressed and managed [20,138]. Furthermore, the public acceptance of renewable energy installations like rooftop solar panels in cities, on-and off-shore wind power plants, or new grid lines plays an important role for future energy systems.…”

Section: Model Formulationmentioning

confidence: 99%

Grid-based multi-energy systems—modelling, assessment, open source modelling frameworks and challenges

2018

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Background: The transition to a sustainable future challenges the current energy grids with the integration of variable, distributed renewable energy sources. On a technical level, multi-energy systems may provide the necessary flexibility to minimise the gap between demand and supply. Suitable methods and tools are necessary to derive relevant results and to support a transition to renewable energy sources. While several, dedicated tools to model grids and infrastructure of single-energy carriers exist, there are no tools capable of modelling multi-energy systems in detail. Thus, this paper presents the necessary aspects to consider when modelling grid-based multi-energy systems, presents three open source frameworks for modelling grid-based energy systems and points out the major challenges. Methodology: The current main aspects and challenges for modelling grid-based energy systems are derived from a literature review. Three open source multi-energy modelling frameworks (Calliope, oemof, urbs) are presented, and the extent to which they consider these aspects and how they tackle challenges is analysed. Grid-based MES modelling: We identified five general energy system modelling aspects (modelling scope, model formulation, spatial coverage, time horizon, data) and three aspects specific to modelling energy grids (level of detail, spatial resolution, temporal resolution). While the specific aspects mainly influence the representation of the technical parts of the energy system and the computational effort, the general aspects primarily relate to the system boundaries and scope of the model. For the evaluation of the modelling results, we identified several assessment criteria, including economic, energetic, exergetic and reliability. Each of the studied open source modelling frameworks provides generic capabilities to model energy converters, and the electricity, gas and district heat networks. However, the general and specific aspects present respective challenges. Relating to the general aspects, complexity of model formulation increases when including additional boundary conditions. The accuracy of the results is also dependent on data quality. Temporal and spatial resolutions are the major specific challenges for modelling the energy infrastructure. Conclusions: There is still a broad field of opportunities for researchers to contribute to grid-based energy system modelling. This encompasses especially the consideration of short-and long-term dynamics of renewable energy sources in planning models.

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Bausteine der Energiewende – Einführung, Übersicht und Ausblick

Kühne

Weber

2017

Bausteine Der Energiewende

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Energiesysteme: regenerativ und dezentral

Cited by 13 publications

References 0 publications

Digitalisation and (De)Centralisation in Germany - a Comparative Study of Retail Banking and the Energy Sector

Digitalisation and (De)Centralisation in Germany - a Comparative Study of Retail Banking and the Energy Sector

Grid-based multi-energy systems—modelling, assessment, open source modelling frameworks and challenges

Bausteine der Energiewende – Einführung, Übersicht und Ausblick

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