Techno-economic comparison of a schedule-based and a forecast-based control strategy for residential photovoltaic storage systems in Germany

Postprint (published version

State Repression, Exit, and Voice

What is the political legacy of state repression? Using local variation in state repression during the Khmer Rouge genocide in Cambodia, we investigate the effects of repression on political beliefs and behavior. We find that past state repression decreases votes for an authoritarian incumbent while enhancing electoral competition and support for democratic values four decades later. At the same time, individuals become more cautious in their interactions with the local community: they exhibit less trust, participate less in community organizations, and engage less with local government. Our theoretical model suggests that these opposing forces arise because experiencing repression bolsters preferences for pluralism while also heightening the perceived cost of dissent. Consequently, citizens are more likely to support the opposition in elections (voice) but engage less in civil society (exit) to avoid publicly revealing their political views. Exploring channels of persistence, we demonstrate that repression cultivates a lasting fear of violence as a societal threat, and that genocide memorials and remembrance ceremonies maintain the collective memory of the atrocities

Benchmarking of Symmetric Cryptographic Algorithms on a Deeply Embedded System

In this paper, we study the runtime performance of symmetric cryptographic algorithms on an embedded ARM Cortex-M4 platform. Symmetric cryptographic algorithms can serve to protect the integrity and optionally, if supported by the algorithm, the confidentiality of data. A broad range of well-established algorithms exists, where the different algorithms typically have different properties and come with different computational complexity. On deeply embedded systems, the overhead imposed by cryptographic operations may be significant. We execute the algorithms AES-GCM, ChaCha20-Poly1305, HMAC-SHA256, KMAC, and SipHash on an STM32 embedded microcontroller and benchmark the execution times of the algorithms as a function of the input lengths

Metabolic network capacity of Escherichia coli for Krebs cycle-dependent proline hydroxylation

Figure S1. Physiology of recombinant E. coli BL21(DE3)(pLysS) strains bearing pET-24a. Panel A and B show biomass formation (circles), glucose consumption (squares), acetate formation (triangles), and proline consumption (diamonds) during batch cultivation of wildtype (closed symbols) and ΔputA (open symbols) strains at 30°C in M9 medium supplemented with 5 g L−1 glucose in the absence (A) or presence (B) of 5 mM proline, respectively. Figure S2. SDS-PAGE analysis of recombinant E. coli BL21(DE3)(pLysS) (pET_p4h1of) and E. coli BL21 ΔputA (DE3) (pLysS) (pET_p4h1of) at different time points during growth in M9 medium with 5 g L−1 glucose (glc) only or with addition of 5 mM proline (pro) at 30°C. M: protein size marker. Figure S3. Physiology of recombinant E. coli BL21(DE3)(pLysS) strains bearing pET_p4h1of. Biomass formation (circles), glucose consumption (squares), acetate formation (triangles), hyp formation (stars), and proline consumption (diamonds) during batch cultivation of wildtype (closed symbols) and ΔputA (open symbols) strains are shown. Cultivation was performed at 30°C in M9 medium supplemented with 5 g L−1 glucose in the absence (panel A) or presence of 5 mM proline (panels B and C). Table S4. Mass isotopomer distribution of alanine for the wt_pET strain at 30°C in M9 medium supplemented with 5 g L−1 U-13C labeled glucose in the absence or presence of 5 mM proline. Table S5. Reactions of the central carbon metabolism generating or consuming NTP and/or redox equivalents. Table S6. Bacterial strains and plasmids used in this study. Table S7. Correlation factors between OD600 1 and cell dry weight concentration (gCDW L−1) of the strains used in this study

Technical and economic comparison of grid supportive vanadium redox flow batteries for primary control reserve and community electricity storage in Germany

Aquesta és una còpia de la versió author’s final draft d'un article publicat a la revista [International journal of energy research]. URL d'aquest document a UPCommons E-prints: http://hdl.handle.net/2117/127058Primary control reserve and maximising self-consumption are currently two of the main applications for large-scale battery storage systems. Although being currently the most profitable application for large-scale batteries in Germany, storage systems applying primary control reserve have not been implemented in a grid supportive manner in distribution grids yet. Despite a current unfavourable regulatory framework and reimbursement scheme for community electricity storages in Germany, they are potentially more profitable than residential storages, which is mainly due to their economy of scale, and thus they may become the major large scale battery application in the future. The two applications: primary control reserve and maximising self-consumption, are combined with a grid supportive behaviour by providing reactive power control and/or peak shaving and are fitted to a vanadium redox flow battery prototype, which is installed in a distribution grid in southern Germany. Based on measured data from the prototype, two battery models for two different time resolutions (1s, 1min) are presented in detail along with their respective operation models. The operation strategy model for primary control reserve comprises the so-called degrees of freedom used to reduce the energy needed to recharge the battery. The operation strategy to maximise self-consumption is based on a persistence forecast. The model for the operation strategy for a grid supportive primary control reserve was validated in a field test revealing a relative error of 2.5 % between the simulated and measured state of charge of the battery for a multi-week time period. The technical assessment of both applications shows that the use of the degrees of freedom can reduce the energy to recharge the battery by 20 %; and in the case of self-consumption, the curtailment losses can be kept under 1 %. The economic assessment, however, indicates that even for the most promising primary control reserve case, the investment costs of vanadium redox flow batteries must be reduced by at least 30 % in order to break even. Finally, the encouraging key finding is that the negative impact of a grid supportive behaviour, additionally to its primary purpose, is less than 1 % of the revenues. This may encourage distribution grid and battery operators to consider the integration of large scale batteries in distribution grids as part of the solution of a rising share of a decentralised renewable energy generation.Postprint (author's final draft

Techno-economic assessment of flexibility options versus grid expansion in distribution grids

In this paper five different flexibility options are analysed from a techno-economic perspective as alternatives to traditional grid expansion for a specific distribution grid in Germany. The options are: two reactive power control strategies with photovoltaic inverters (as a function of the power feed-in, or of the voltage at the connection point), one residential and two large scale battery storage applications (primary control reserve with autonomous reactive power control or self consumption maximisation strategy with autonomous reactive power control). For the pilot grid located in Southern Germany a photovoltaic expansion pathway is determined. The main goal of this work is to quantify the grid expansion actions that can be avoided by applying these five flexibility options for the assumed expansion pathway, focusing on large scale battery storages. It is shown that the five flexibility options increase the hosting capacity for PV systems, compared to a scenario without, by up to 45%. Furthermore, the results of the economic assessment indicate that the analysed flexibility options might be a viable alternative to traditional grid expansion as all of them show a cost reduction potential for the pilot region. These results could encourage DSOs to consider the integration of additional PV and battery storage systems not as a problem which triggers grid expansion, but as part of the solution reducing future grid expansion costs.Objectius de Desenvolupament Sostenible::7 - Energia Assequible i No ContaminantPostprint (author's final draft

RoofKIT – Building simulation in sustainable housing at the Solar Decathlon Europe 21/22

The contribution of the RoofKIT student team to the SDE 21/22 competition is the extension of an existing café in Wuppertal, Germany, to create new functions and living space for the building with simultaneous energetic upgrading. A demonstration unit is built representing a small cut-out of this extension. The developed energy concept was thoroughly simulated by the student team in seminars using Modelica. The system uses mainly solar energy via PVT collectors as the heat source for a brine-water heat pump (space heating and hot water). Energy storage (thermal and electrical) is installed to decouple generation and consumption. Simulation results confirm that carbon neutrality is achieved for the building operation, consuming and generating around 60 kWh/m2a

Das KREIS-Haus : die grosse Kreislaufvision im Miniformat

Die Forschungsgruppe Ökotechnologie hat ein neues Baby: das KREIS-Haus. Das KREIS-Haus ist Ferienhaus und Praxislabor in einem. Hier können die Forschenden Innovationen in einem bewohnten Gebäude testen und gleichzeitig Kreislaufthemen einem breiten Publikum vermitteln. Damit soll ein gesellschaftlicher Wandel der Art und Weise, wie wir bauen und leben, angestossen werden

Using joint multivariate analyses of leaf morphology and molecular-genetic markers for taxon identification in three hybridizing European white oak species (Quercus spp.)

International audienceAbstract• Key messageWe show that joint multivariate analyses of leaf morphological characters and molecular-genetic markers improve the taxonomic assignment in hybridizing European white oaks. However, model-based approaches using genetic data alone represent straightforward alternatives to laborious, detailed morphological assessments.• ContextIn European white oaks, species delimitation is debated because of large overlap of morphological characteristics likely due to hybridization.• AimsWe tested whether joint multivariate analyses of leaf morphology and molecular markers improve the identification of three oak species (Quercus petraea, Quercus pubescens, Quercus robur) compared to approaches using morphological or genetic variables only.• MethodsWe assessed 13 leaf morphological characters and applied eight nuclear microsatellite markers in almost 1400 trees of 71 oak populations across Switzerland. We performed two multivariate approaches with three variable sets (morphology, genetics, combined) and assessed their performance in separating the taxa. We also compared the taxon assignment to a model-based clustering approach (Structure) based on genetic data alone.• ResultsA joint use of morphological and genetic variables led to an improved taxon assignment. Whereas Q. robur could clearly be separated from the two other taxa, there was a certain overlap between Q. petraea and Q. pubescens. The Structure clustering led to the same taxon assignment in 85 % of the individuals.• ConclusionIt is important to consider both morphological and genetic properties in morphologically similar and hybridizing species. However, it might be more efficient to concentrate only on genetic markers than on time-consuming morphological assessments