@article{45571,
  abstract     = {{Self-templating is a facile strategy for synthesizing porous carbons by direct pyrolysis of organic metal salts. However, the method typically suffers from low yields (<4%) and limited specific surface areas (SSA<2000 m2 g−1) originating from low activity of metal cations (e.g., K+ or Na+) in promoting construction and activation of carbon frameworks. Here we use cesium acetate as the only precursor of oxo-carbons with large SSA of the order of 3000 m2 g−1, pore volume approaching 2 cm3 g−1, tunable oxygen contents, and yields of up to 15 %. We unravel the role of Cs+ as an efficient promoter of framework formation, templating and etching agent, while acetates act as carbon/oxygen sources of carbonaceous frameworks. The oxo-carbons show record-high CO2 uptake of 8.71 mmol g−1 and an ultimate specific capacitance of 313 F g−1 in the supercapacitor. This study helps to understand and rationally tailor the materials design by a still rare organic solid-state chemistry.}},
  author       = {{Li, Jiaxin and Kossmann, Janina and Zeng, Ke and Zhang, Kun and Wang, Bingjie and Weinberger, Christian and Antonietti, Markus and Odziomek, Mateusz and López‐Salas, Nieves}},
  issn         = {{0044-8249}},
  journal      = {{Angewandte Chemie International Edition}},
  keywords     = {{CO2 Adsorption, Cesium Acetate, Cesium Effect, Porous Carbons, Supercapacitor}},
  publisher    = {{Wiley}},
  title        = {{{When High‐Temperature Cesium Chemistry Meets Self‐Templating: Metal Acetates as Building Blocks of Unusual Highly Porous Carbons}}},
  doi          = {{10.1002/anie.202217808}},
  year         = {{2023}},
}

@inproceedings{19393,
  abstract     = {{To provide a simple instrument to operate residential Load-Shifting or Demand-Side-Management 
systems, the measurement of the actual grid frequency seems to be an appropriate method. Due to the present 
inflexibility and the lack of sufficient throttling capabilities of lignite and nuclear power plants, a surplus of 
electricity generation occurs during periods of high wind and solar power generation. While the specific CO2-
emission is decreasing then ‒ due to the increased share of Renewables, the grid frequency is increasing (to a certain 
limit). Using the grid frequency as an indicator to switch-on and off certain loads (loads that do not require power 
permanently (e.g. dishwashers, washing machines, dryers, fridges and freezers, heaters) could provide a simple, 
inexpensive demand-side management indicator to lower specific CO2‒emssions and costs (if a dynamic 
consumption tariff is available). To check the truthfulness of that hypothesis, the grid and frequency data of the 
German grid of the year 2018 have been collected and a the correlation between grid frequency, power surplus, share 
of renewables vs. CO2-contents and price at the European energy exchange (EEX) have been calculated. The results 
show: Correlation between frequency and share of renewables is quite low (r = 0.155) due to the fact that primary 
grid control quickly compensates deviations from the 50 Hz nominal frequency. There is a good anti-correlation (r = -
0.687) between the EEX‒prices and the share of renewables in the grid. Over the years, correlation between 
electricity trading prices (EEX) and CO2 emissions is quite good (r =0.665), within the one year (2018) that 
correlation almost doesn’t exist, possibly due to the inflexibility of the bulky lignite power plants that even operate at 
negative prices. 
}},
  author       = {{Krauter, Stefan and Zhang, L.}},
  booktitle    = {{Proceedings of the 37th European Photovoltaic Solar Energy Conference, 07 - 11 September 2020.}},
  issn         = {{	3-936338-73-6}},
  keywords     = {{Keywords: Load-Shifting, Demand-Side-Management, DSM, grid frequency, EEX, electricity trading prices, renewable share, flexibility, emissions, CO2}},
  location     = {{online}},
  pages        = {{1815 -- 1817}},
  title        = {{{Triggering Demand‒Side‒Management: Correlation of electricity prices, share of renewables, CO2‒contents, and grid‒frequency in the German electricity grid.}}},
  doi          = {{10.4229/EUPVSEC20202020-6BV.5.9}},
  year         = {{2020}},
}

@inproceedings{19383,
  abstract     = {{Due to the present inflexibility and the lack of sufficient throttling capabilities of lignite and nuclear power plants, a surplus of electricity generation occurs during periods of high wind and solar power generation in the German electricity grid. While the specific CO2-emission is decreasing then - due to the increased share of Renewables, the grid frequency should be increasing (to a certain limit). Using the grid frequency as an indicator to switch-on and -off certain loads (loads that do not require power permanently (e.g. dishwashers, washing machines, dryers, fridges and freezers, heaters) could provide a simple, inexpensive demand-side-management indicator to lower specific CO2-emissions and costs (if a dynamic consumption tariff is applied). To check the truthfulness of that hypothesis, the grid and frequency data of the German grid of the year 2018 have been collected and the correlations between grid frequency, share of renewables, CO2-contents, and actual price at the European energy exchange (EEX) have been calculated. The results show: Correlation between grid frequency and the share of renewables is quite low (r=0.155) due to the fact that primary grid control quickly compensates deviations from the 50 Hz nominal frequency. As expected, there is a good anti-correlation (r=-0.687) between the EEX-prices and the share of renewables in the grid. Over the years, correlation between electricity trading prices (EEX) and CO2 emissions is quite good (r=0.665), within the one year (2018) that correlation almost doesn't exist, possibly due to the inflexibility of the bulky lignite baseload power plants that even operate at negative prices.}},
  author       = {{Krauter, Stefan and Zhang, L.}},
  booktitle    = {{Proceedings of the 47th IEEE Photovoltaic Specialists Conference (PVSC 47) 2020}},
  keywords     = {{CO2, EEX, Grid frequency, DSM, electricity price, Renewable share}},
  location     = {{online}},
  pages        = {{1672--1674}},
  title        = {{{Correlation of grid-frequency, electricity prices, share of Renewables and CO2-contents of German electricity grid to enable inexpensive triggering of Demand-Side-Management}}},
  doi          = {{10.1109/PVSC45281.2020.9300487}},
  year         = {{2020}},
}