Predictive Control of Biomass Combustion Plants

01.03.2009 - 30.09.2011

Research funding project

In der course of this project a model-based control concept for biomass combustion plants will be developed. The control concept will be model-based and predictive, and carbon-monoxide will be utilized as important variable. Based on the decoupling characteristics of predictive controllers it will become possible to operate the plants closer to performance limits; furthermore, primary, secondary, and tertiary air supply will be considered in the proposed control concept. Besides an expected saving in operating resources and an increased operating grade, self-learning properties with respect to fuel variations is sought for.

People

Project leader

Martin Kozek (E325)

Project personnel

Nicole Paces (E325)

Institute

E325 - Institute of Mechanics and Mechatronics

Grant funds

FFG - Österr. Forschungsförderungs- gesellschaft mbH (National) Austrian Research Promotion Agency (FFG)

Research focus

Climate Neutral, Renewable and Conventional Energy Supply Systems: 30%
Computational System Design: 35%
Modeling and Simulation: 35%

Keywords

German	English
Biomassefeuerung	biomass plant
Rostfeuerung	grate furnace
Prädiktive Regelung	Predictive Control
Modellbildung	modeling

External partner

VOIGT+WIPP Engineers GmbH
BEST - Bioenergy and Sustainable Technologies GmbH
Josef Bertsch Gesellschaft mbH & Co

Publications

Publications