Friedrich Alexander-University Erlangen-Nürnberg (FAU)
Chair of Energy Process Engineering
Fürther Straße 244f
Prof. Dr.-Ing. Jürgen Karl
Thomas Plankenbühler – project leader
Telephone: +49 (0)911 5302-9031
Prof. Dr. rer nat. Andreas Hornung – Projektleiter
Telefon: +49 (0)9661 908-403
Martin Meiller – Direkter Ansprechpartner
Telefon: +49 (0)9661 908-419
The project addresses ash deposition („slagging and fouling“) in biomass-fired heat and power plants. The principle goal is to achieve a reduction of ash and slag contaminations and the development of an on-line detection system in order to facilitate suitable countermeasures. This potentially allows the utilization of higher shares of low-rank feedstock like forest residues.
The project aims at the evaluation of different fuel pre-treatment and plant operation strategies in order to reduce the ash deposition propensity in megawatt-scale combustion plants. These strategies will be implemented into an “online ash deposition system”, a framework based on realtime process data and additional sensors. Using a machine learning approach and regression modelling, empirical and experience-based plant control strategies will be applied and demonstrated for ash deposition mitigation in industrial-scale biomass combustion
FAU-EVT performs lab-scale experiments in order to examine the emergence of ash deposition phenomena for a variety of feedstock and fuel blends. Furthermore, the CFD ash deposition prediction methodology from the “FuelBand” project (12/2012–12/2015) will be further improved and applied at the partner’s 6 MW biomass plant.
Aixprocess develops an ash deposition online monitoring tool based on neural networks and pattern regnition. This tool will be applied at the Bad Mergentheim 6 MW biomass plant. As data basis serve process data, additional sensors and a realtime CFD model of the plant’s status.
Stadtwerk Tauberfranken provides their biomass CHP plant in Bad Mergentheim. This plant serves as demonstration facility for all proposed measures, including the ash deposition monitoring tool.
In addition, SWT performs a long-term fuel monitoring in order to assess typical feedstock quality parameters and their (short-time and seasonal) fluctuations.
Fraunhofer Umsicht evaluates ash deposition mitigation strategies at their 440 kW grate combustor. This includes the removal of fine particles (by sieving), improved air-staging and additives. All experiments are performed with real feedstock from the Bad Mergentheim power plant.