The sustainable use of raw materials is one of the central challenges facing our society. Particularly in energy supply and in the production of consumer goods, an increase in efficiency in the use of raw materials is necessary to ensure a supply of finite raw materials for future generations.
Project content
Efficient waste incineration makes a significant contribution to increasing sustainability in the use of resources by recovering raw materials and the chemical energy bound in the waste, as well as avoiding soil contamination and methane emissions from landfills. However, energy- and resource-efficient operation of a waste-to-energy plant is a complex task. Different target values are in conflict with each other while simultaneously the inhomogeneous fuel (waste) complicates the operation.
Against this background, the project "Waste incineration boiler 4.0" (AVKVIN, FKZ 03EE5038) deals with the digitalization and holistic operational characterization of steam generators in waste incineration power plants. Methods from the fields of machine learning, image recognition and physical-statistical models are used. Hereby two projects are pursued: On the one hand, the development of a better operating point estimation for the steam generator of waste incineration power plants and, on the other hand, the development of methods to holistically optimize the steam generator operation.
Cooperation partners
Contact person
30823 Garbsen
