Rezensionen
Rezensionen
Maximilian Uwe Ludwig, Vipul Toprani, Frank Witte
Entwicklung eines Moduls zur Berücksichtigung der EEG-Vergütung in einem Rechenmodell zur Wirschaftlichkeitsbetrachtung von intelligenten Stromnetzen
Buchbesprechung
The enactment of the Law Giving Priority to Renewable Energies (EEG) in 2000 laid the Cornerstone for the transformation of the German electricity supply. Since then the proportion of renewable energy in electricity production has grown dramatically, confronting the German network infrastructure, which was initially designed for a centralised supply system, with new problems and challenges. In order to achieve optimal coordination between volatile energy infeeds, electricity storage plants and consumers it is necessary to bring all components involved together in a smart grid. A small-scale grid of this description is currently being operated and investigated on the EUREF Campus in Berlin Schöneberg. The task of achieving optimal allocation of energy flows and getting the micro smart grid to run accordingly, i.e. at a profit, poses new challenges to all involved. To be able to determine the economic efficiency of smart grids a calculation model was developed which simulates the operation of production and storage plants and takes the behaviour of real consumers into account. The model rates the profitability of investments made in terms of their capital value. In its current version the model still disregards the legal regulations for the remuneration of electricity produced from a mix of renewable resources. These cannot be considered as physically separate in a smart grid. In the present study a module based on EEG provisions was developed which calculates remuneration rates as a function of production and demand at a given moment. This is one of several factors which influence the economic efficiency of smart grids. The study undertakes to identify these factors and describe their influence on the profitability of the total investment.
