Development of an optimization model for the strategic design of renewable fuel supply network.
- ln line with the Paris Agreement on climate change, Germany's Climate Action Plan 2050 provides a long-term reduction of greenhouse gas emissions by 80-95 % compared to 1990 levels for the year 2050. ln order to achieve this ambitious greenhouse gas reduction target, corresponding greenhouse gas reductions must take place simultaneously in the energy and transport sectors as well as in industry. Particularly the transport sector faces a major challenge with high energy and non energy consumption of fossil raw materials. The greenhouse gas reduction targets are to be achieved through sustainable technologies and innovative approaches such as the use of renewable liquid fuels. These fuels can be produced from renewable electricity, biomass, and carbon dioxide. Herein, the estimation of the future availability of these resources is of high importance for the investigations.
Against this background, Mr. Bhoi's master thesis aims to develop a spatiotemporally resolved optimization model considering the future demand for liquid fuels. After an analysis of the characteristics of the supply network, various modelling and optimization approaches from the literature will first be compared and evaluated. Subsequently, the development and implementation of a model for the problem described above as well as the analysis and validation of the implemented approach are carried out based on a case study.
