@article{SattlerRoegerSchwarzboezletal.2020,
  author    = {Sattler, Johannes, Christoph and R{\"o}ger, Marc and Schwarzb{\"o}zl, Peter and Buck, Reiner and Macke, Ansgar and Raeder, Christian and G{\"o}ttsche, Joachim},
  title     = {Review of heliostat calibration and tracking control methods},
  series = {Solar Energy},
  volume    = {207},
  journal   = {Solar Energy},
  publisher = {Elsevier},
  address   = {Amsterdam},
  doi       = {10.1016/j.solener.2020.06.030},
  pages     = {110 -- 132},
  year      = {2020},
  abstract  = {Large scale central receiver systems typically deploy between thousands to more than a hundred thousand heliostats. During solar operation, each heliostat is aligned individually in such a way that the overall surface normal bisects the angle between the sun's position and the aim point coordinate on the receiver. Due to various tracking error sources, achieving accurate alignment ≤1 mrad for all the heliostats with respect to the aim points on the receiver without a calibration system can be regarded as unrealistic. Therefore, a calibration system is necessary not only to improve the aiming accuracy for achieving desired flux distributions but also to reduce or eliminate spillage. An overview of current larger-scale central receiver systems (CRS), tracking error sources and the basic requirements of an ideal calibration system is presented. Leading up to the main topic, a description of general and specific terms on the topics heliostat calibration and tracking control clarifies the terminology used in this work. Various figures illustrate the signal flows along various typical components as well as the corresponding monitoring or measuring devices that indicate or measure along the signal (or effect) chain. The numerous calibration systems are described in detail and classified in groups. Two tables allow the juxtaposition of the calibration methods for a better comparison. In an assessment, the advantages and disadvantages of individual calibration methods are presented.},
  language  = {en}
}
@inproceedings{PaulsenHoffstadtKrafftetal.2020,
  author    = {Paulsen, Svea and Hoffstadt, Kevin and Krafft, Simone and Leite, A. and Zang, J. and Fonseca-Zang, W. and Kuperjans, Isabel},
  title     = {Continuous biogas production from sugarcane as sole substrate},
  series = {Energy Reports},
  volume    = {6},
  booktitle = {Energy Reports},
  number    = {Supplement 1},
  publisher = {Elsevier},
  doi       = {10.1016/j.egyr.2019.08.035},
  pages     = {153 -- 158},
  year      = {2020},
  language  = {en}
}
@article{RuppRiekeHandschuhetal.2020,
  author    = {Rupp, Matthias and Rieke, Christian and Handschuh, Nils and Kuperjans, Isabel},
  title     = {Economic and ecological optimization of electric bus charging considering variable electricity prices and CO₂eq intensities},
  series = {Transportation Research Part D: Transport and Environment},
  volume    = {81},
  journal   = {Transportation Research Part D: Transport and Environment},
  number    = {Article 102293},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1361-9209},
  doi       = {10.1016/j.trd.2020.102293},
  year      = {2020},
  abstract  = {In many cities, diesel buses are being replaced by electric buses with the aim of reducing local emissions and thus improving air quality. The protection of the environment and the health of the population is the highest priority of our society. For the transport companies that operate these buses, not only ecological issues but also economic issues are of great importance. Due to the high purchase costs of electric buses compared to conventional buses, operators are forced to use electric vehicles in a targeted manner in order to ensure amortization over the service life of the vehicles. A compromise between ecology and economy must be found in order to both protect the environment and ensure economical operation of the buses. In this study, we present a new methodology for optimizing the vehicles' charging time as a function of the parameters CO₂eq emissions and electricity costs. Based on recorded driving profiles in daily bus operation, the energy demands of conventional and electric buses are calculated for the passenger transportation in the city of Aachen in 2017. Different charging scenarios are defined to analyze the influence of the temporal variability of CO₂eq intensity and electricity price on the environmental impact and economy of the bus. For every individual day of a year, charging periods with the lowest and highest costs and emissions are identified and recommendations for daily bus operation are made. To enable both the ecological and economical operation of the bus, the parameters of electricity price and CO₂ are weighted differently, and several charging periods are proposed, taking into account the priorities previously set. A sensitivity analysis is carried out to evaluate the influence of selected parameters and to derive recommendations for improving the ecological and economic balance of the battery-powered electric vehicle. In all scenarios, the optimization of the charging period results in energy cost savings of a maximum of 13.6\% compared to charging at a fixed electricity price. The savings potential of CO₂eq emissions is similar, at 14.9\%. From an economic point of view, charging between 2 a.m. and 4 a.m. results in the lowest energy costs on average. The CO₂eq intensity is also low in this period, but midday charging leads to the largest savings in CO₂eq emissions. From a life cycle perspective, the electric bus is not economically competitive with the conventional bus. However, from an ecological point of view, the electric bus saves on average 37.5\% CO₂eq emissions over its service life compared to the diesel bus. The reduction potential is maximized if the electric vehicle exclusively consumes electricity from solar and wind power.},
  language  = {en}
}
@incollection{BorchertTenbrake2020,
  author    = {Borchert, J{\"o}rg and Tenbrake, Andre},
  title     = {Bewirtschaftung von Flexibilit{\"a}t {\"u}ber Microservices eines Plattformanbieters},
  series = {Realisierung Utility 4.0 Band 1},
  booktitle = {Realisierung Utility 4.0 Band 1},
  publisher = {Springer Vieweg},
  address   = {Wiesbaden},
  isbn      = {978-3-658-25332-5},
  doi       = {10.1007/978-3-658-25332-5_37},
  pages     = {615 -- 626},
  year      = {2020},
  abstract  = {Die Energiewirtschaft befindet sich in einem starken Wandel, der v. a. durch die Energiewende und Digitalisierung Druck auf s{\"a}mtliche Marktteilnehmer aus{\"u}bt. Das klassische Gesch{\"a}ftsmodell des Energieversorgungsunternehmens ver{\"a}ndert sich dabei grundlegend. Der kontinuierlich ansteigende Einsatz dezentraler und volatiler Erzeugungsanlagen macht die Identifikation von Flexibilit{\"a}tspotenzialen notwendig, um weiterhin eine hohe Versorgungssicherheit zu gew{\"a}hrleisten. Dieser Schritt ist nur mit einem hohen Digitalisierungsgrad m{\"o}glich. Eine funktionale Plattform mit Microservices, die zu Gesch{\"a}ftsprozessen verbunden werden k{\"o}nnen, wird als M{\"o}glichkeit zur Aktivierung der Flexibilit{\"a}t und Digitalisierung der Energieversorgungsunternehmen im Folgenden vorgestellt.},
  language  = {de}
}