Medium term, the availability of controllable decentralized feeders and loads within the low-voltage distribution grid provides grid operators with a major challenge but also a great opportunity. Either expansion of the local network area and thus the ability to transport and distribute every kW of power and each kWh of energy. Or the efficient use of the existing infrastructure by appropriate measures to reach a local balance between supply and consumption. In this work, two main process approaches developed within the project sMobiliTy are introduced. Aim is the use of available network capacity as flexibility to integrate controllable resources in the liberalized energy market, taking account of the distribution grid. It will be presented on the example of electric vehicles

Owing to a high cost pressure and the need for a reduction of carbon dioxide emissions for manufacturing calcium silicate masonry units (CS), the CS-industry strives to cut the energy consumption. The most energy consuming process step is the autoclaving. About 87% of the energy is required for this particular process step, where the green bodies are steam-hardened at 200°C.For reducing the energy consumption, most of the alternatives aim at optimizing the complete manufacturing process. In this paper, the focus is put on an optimized loading process for the autoclaves, in consideration of preceding and subsequent process steps. For this purpose, a simulation model is developed, where different strategies of loading are implemented and tested. This model can be used to find optimally scheduled assignments of production orders to the available autoclaves, based on the volume of each manufactured product.The analysis of the tested strategies shows, that it is possible to save up to almost 9 % of the required energy for autoclaving by an optimized assignment of the available autoclaves.

This paper presents the study results of possible plug in electric vehicle (PEV) integration potentials in a commonly occurring rural distribution grid in Germany as a worst case scenario simulation. This worst case consideration means, that all the simulations are running at a fix defined load point at one specific moment in time. After the simulation case definition, like e.g. the so called “strong load case”, the different in Germany commonly occurring PEV-classes are connected step by step to the 0,4 kV grid. So it is possible to compute the maximum integrable amount of PEVs (of each class) in dependency on the grid operation risks. As the core method the conventional Monte Carlo approach were used in a self-implemented characteristic