Advanced algorithmic model for poly-optimization of biomass fuel production from separate combustible fractions of municipal wastes as a progress in improving energy efficiency of waste utilization
Authors:
- Krzysztof Gaska,
- Agnieszka Generowicz,
- Mykhailo Lobur,
- Nazariy Jaworski,
- Józef Ciuła,
- Myroslava Vovk
Abstract
Usage of generated fuel components from segregated municipal waste groups in combined combustion processes with traditional fuels results in significant savings by partial replacement of fossil fuels and the reduction of environmental inconvenience that arises directly from the migration of waste to the environment. This article develops technological process of fuel components production which is controlled by advanced embedded SCADA control systems, providing monitoring of process parameters, process visualization and implementation, with the help of logic controllers of freely programmable PLC and complex control algorithms (including adaptive, predictive and inferential control algorithms) by implementation of the polymorphic model of fuel components obtaining process multi-stream optimization.
- Record ID
- CUT90552c5f16e84ca4a59986f8d3081237
- Publication categories
- ; ;
- Author
- Journal series
- E3S Web of Conferences, ISSN 2555-0403, e-ISSN 2267-1242, Irregular
- Issue year
- 2019
- Vol
- 122
- Pages
- [1-7]
- Article number
- 01004
- Other elements of collation
- rys.; schem.; wykr.; Bibliografia (na s.) - 7; Bibliografia (liczba pozycji) - 14; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 122
- Substantive notes
- Section: Clean Energy and Energy Engineering
- Conference
- 2nd International Conference on Renewable Energy and Environment Engineering (REEE 2019), 2019, 19-08-2019 - 22-08-2019, Munich, Niemcy
- Keywords in English
- advanced algorithmic, municipal waste, SCADA control systems, biomass fuel
- DOI
- DOI:10.1051/e3sconf/201912201004 Opening in a new tab
- URL
- https://www.e3s-conferences.org/articles/e3sconf/abs/2019/48/e3sconf_reee2019_01004/e3sconf_reee2019_01004.html Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 5
- Additional fields
- Indeksowana w: Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT90552c5f16e84ca4a59986f8d3081237/
- URN
urn:pkr-prod:CUT90552c5f16e84ca4a59986f8d3081237
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.