Published November 1, 2015 | Version v1
Journal article

Process performance improvement in a co-current, fixed bed biomass gasification facility by control system modifications

  • 1. Department of Biosystems, Faculty of Bioscience Engineering, KU Leuven, No. 30 Kasteelpark Arenberg, 3000 Leuven (Belgium)
  • 2. Department of Energy, Power Engineering and Ecology, Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, No. 5 Ivana Lučića, 10002 Zagreb (Croatia)
  • 3. Institute of Power Engineering, Faculty of Mechanical Science and Engineering, Technical University Dresden, No. 3b George-Bähr-Strasse, 01069 Dresden (Germany)

Description

Highlights: • Software algorithms for biomass gasification process improvement have been developed. • Advanced control solution has been proposed for on-line process control. • Different process variables have been controlled simultaneously. • Different process improvement cases have been analysed. • Data for system development has been extracted from co-current, fixed bed gasifier. - Abstract: Advanced control solutions are a developing technology which represent a promising approach to tackle problems related to efficiency and environmental aspects of biomass gasification process in a cost effective way. In this paper the potential of advanced control concept to improve gasification process efficiency and to reduce negative environmental effects of the process has been analysed. Advanced control solution, based on feedforward–feedback control approach has been developed using collected operation data and the effects of control concept on gasification process have been analysed using developed artificial neural network based prediction model. Measurement data for the controller and simulation model development has been extracted from a 75 MWth co-current, fixed bed biomass gasification plant operated by Technical University Dresden. The effects of 6 different process improvement goals for controller algorithms development have been analysed during 20 h of plant operation. The analysis has shown that with introduction of advanced control solutions process efficiency could be improved up to 20%, together with reduction of negative environmental aspects of the process

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enconman.2015.05.048

Additional details

Identifiers

DOI
10.1016/j.enconman.2015.05.048;
PII
S0196-8904(15)00503-8;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
104
Journal Page Range
p. 135-146
ISSN
0196-8904
CODEN
ECMADL

Optional Information

Copyright
Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.