The main project goal is the development of an adaptive optimization approach for operational management of grid-level battery storage. The adaptive optimization approach aims at increasing the economic efficiency of storage, and thereby enabling the widespread adoption of grid-level battery storage. The widespread adoption of energy storage is important to guarantee service security and reliability of electrical power supply in the presence of a high share of energy from volatile renewable sources. The research project LearnIT is funded by the 6th energy research program of the German federal government.
Project status in progress Project time 01.11.2018- 31.10.2021 Funding source Federal Ministry of Economic Affairs and Energy Project number 03ET6152 Keywords Stromspeicher; Energieportfolios
Project status in progress Project time 01.10.2018- 30.09.2019 Funding source BMWi - University-Based Business Start-Ups Project number 03EGSNW584 Keywords Digitalisierung, Logistik, Transport
Project status in progress Project time 01.04.2018- 31.03.2019 Funding source flaschenpost GmbH Keywords Tourenplanung; Lieferzeitfenster; Optimierung; Branch and Price
Project status definitely finished Project time 01.09.2017- 30.09.2017 Funding source flaschenpost GmbH Keywords Optimierungsverfahren; Wirtschaftsinformatik
Project status definitely finished Project time 01.01.2015- 31.12.2016 Funding source German Academic Exchange Service Project number 57134508 Keywords renewable energies, computational stochastic optimization, information systems