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.2015.05.048Additional 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
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 47019119
- Subject category
- S42: ENGINEERING; S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- ALGORITHMS; BIOMASS; COMPUTERIZED SIMULATION; CONTROL SYSTEMS; COST EFFECTIVENESS ANALYSIS; ENVIRONMENTAL EFFECTS; GASIFICATION; NEURAL NETWORKS; PACKED BEDS; PROCESS CONTROL
- Descriptors DEC
- CONTROL; ECONOMIC ANALYSIS; ECONOMICS; ENERGY SOURCES; MATHEMATICAL LOGIC; RENEWABLE ENERGY SOURCES; SIMULATION; THERMOCHEMICAL PROCESSES
Optional Information
- Copyright
- Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.