A novel optimization method for urban resilient and fair power distribution preventing critical network states

Ottenburger, Sadeeb Simon; Çakmak, Hüseyin; Jakob, Wilfried; Blattmann, Andreas; Trybushnyi, D.; Raskob, W.; Kühnapfel, Uwe; Hagenmeyer, Veit

doi:10.1016/j.ijcip.2020.100354

Cited by 11 publications

(2 citation statements)

References 18 publications

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“…However, DSM reveals major shortcomings in acutely critical situations, e. g. if electric cars are not charged economically and rationally at the lowest price, but if instead, in the face of an imminent power shortage, a large number of users would charge at the same time and thus overload the grid. Furthermore, DSM may lead to socially unjust supply patterns (Ottenburger et al 2020), as individual consumers in smart grids could receive targeted supply in the event of general power outages. What would seem to be justified in the case of critical infrastructure, e. g. hospitals, could call into question the legal principle of equal treatment of services of general interest in the case of privileging individual private households.…”

Section: Integrating Technical and Socio-cultural Innovationsmentioning

confidence: 99%

Making intelligent cities in Europe climate-neutral

Kropp

Ley

Ottenburger

et al. 2021

TATuP

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Smart urban futures are currently being tested and promoted in Europe using innovative and intelligent urban technologies at different spatial scales, in individual sectors such as energy or transport, or by using specific technological innovations. However, the great transformation, though often called for and widely advocated, is yet to come. This paper discusses the necessity of promoting integrative approaches that go beyond technology-centered solutions with the aim of opening up paths towards urban climate neutrality: Precisely because urban futures are hardly predictable due to diverse and partly still hidden influencing factors, it is important to include especially socio-cultural innovations, as well as resilient technical solutions. The considerations developed in this regard conclude with a presentation of the contributions in this TATuP special topic.

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Section: Integrating Technical and Socio-cultural Innovationsmentioning

confidence: 99%

Making intelligent cities in Europe climate-neutral

Kropp

Ley

Ottenburger

et al. 2021

TATuP

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“…In order to better understand the various impacts of a growing share of variable renewables and to optimize their further expansion [3,4,8,9], disaggregated data on wind power generation are becoming increasingly important. For example, energy studies targeting distributed variable renewables in a decentralized power system can benefit from such information to identify potential power shortages caused by local turbine outages or regional wind lulls [10]. The absence of disaggregated electricity data for a given geographic area and time period, e.g., due to restrictive German data privacy laws, makes it difficult for academia and industry to study the various impacts of wind turbines at local and regional levels.…”

Section: Introductionmentioning

confidence: 99%

Temporally and Spatially Resolved Simulation of the Wind Power Generation in Germany

Lehneis

Thrän

2023

Energies

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Temporally and spatially resolved data on wind power generation are very useful for studying the technical and economic aspects of this variable renewable energy at local and regional levels. Due to the lack of disaggregated electricity data from onshore and offshore turbines in Germany, it is necessary to use numerical simulations to calculate the power generation for a given geographic area and time period. This study shows how such a simulation model, which uses freely available plant and weather data as input variables, can be developed with the help of basic atmospheric laws and specific power curves of wind turbines. The wind power model is then applied to ensembles of nearly 28,000 onshore and 1500 offshore turbines to simulate the wind power generation in Germany for the years 2019 and 2020. For both periods, the obtained and spatially aggregated time series are in good agreement with the measured feed-in patterns for the whole of Germany. Such disaggregated simulation results can be used to analyze the power generation at any spatial scale, as each turbine is simulated separately with its location and technical parameters. This paper also presents the daily resolved wind power generation and associated indicators at the federal state level.

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