Research Outputs
An interdisciplinary approach of a local peer-to-peer energy trading model for a more sustainable power grid
This work investigates a novel distance-based electricity tariff applicable to energy communities. Based on a mixed integer linear optimization model computational studies are conducted to investigate the effects of this tariff on a small-scale community consisting of 22 consumers and 5 prosumers. Additionally, the potential of electric storage systems supporting the use of locally produced energy is investigated. The results of the computational model prove that an energy community generates incentives photovoltaic plants and the installation of energy storage systems. Complementary to the simulations, the flexibility options are supported by a user survey focusing on technology attributes for local energy market models, proving that there is a significant awareness for the use of energy storage systems.
Preferences on Home Energy Management Systems - A Study of Potentials for the Use of End User Flexibilities
Due to the increase of volatile renewable energy resources, additional flexibility in the electricity system is necessary to ensure a technically and economically efficient network operation. To tap flexibilities like private storages, participatory developed and user-friendly technical solutions are essential. In this work, the acceptance and the market potential of a home energy management system with focus on i) grid optimization, ii) self-consumption optimization, and iii) additional functions for increased comfort is presented. This is determined by means of a representative survey. The main results show that the perceived usefulness and accessibility are the most important influence factors affecting the end user’s intention to use. Based on the given acceptance, the solution provides a market potential of one third of the users for an increased use of flexibilities in the investigated area.