Hier werden einige der in der Abteilung Energie, Verkehr, Umwelt entwickelten quantitativen Modelle vorgestellt. Im Zusammenhang mit den quantitativen Modellierungsarbeiten werden in der Abteilung verschiedene Energiemarktdaten gesammelt und gepflegt.
The model determines cost-minimizing combinations of power generation, demand-side management, and storage capacities and their respective dispatch. DIETER thus captures multiple system values of power storage related to arbitrage, firm capacity, and reserves. The code is licensed under the MIT License. We are happy to receive your feedback. Below you find an overview of available DIETER versions and respective academic papers that include descriptions and documentations.
The ZIP files include the GAMS code, an Excel file with all necessary input parameters, and partly also a short documentation of model equations and changes compared to earlier versions. Version 1. These include nomenclature adjustments, changes with respect to the modeling of primary reserves, and some corrections regarding reserve provision by storage technologies. In a companion article, this model version has been applied to the analysis of long-run power storage requirements in a greenfield setting that is loosely calibrated to the German power system.
Dieter v1. In contrast to earlier versions, input data is not calibrated to the year , but to This model version has been used to study the provision of reserves by electric vehicles in Germany. See Schill, W. As in version 1. This model version has been used to study the system effect of prosumage in Germany. This model version has been used to study the system effect making existing German storage heaters more flexible in the year Schill, W. DIW Discussion Paper A German publication with a policy focus is published as Schill, W.
The electricity sector model family ELMOD includes a variety of spatial optimization models with detailed representations of the European electricity sector including the generation portfolio and the physical transmission network. ELMOD models apply a bottom-up approach which combines economic and engineering features of the electricity sector. ELMOD models determine the cost-minimizing or welfare-maximizing dispatch taking into account flows in the high-voltage transmission network using a DC load flow approach as well as technical characteristics of generation units.
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