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Mathematical modeling of biomass fuels formation process

Authors :
Gaska, Krzysztof
Wandrasz, Andrzej J.
Source :
Waste Management. Jun2008, Vol. 28 Issue 6, p973-985. 13p.
Publication Year :
2008

Abstract

The increasing demand for thermal and electric energy in many branches of industry and municipal management accounts for a drastic diminishing of natural resources (fossil fuels). Meanwhile, in numerous technical processes, a huge mass of wastes is produced. A segregated and converted combustible fraction of the wastes, with relatively high calorific value, may be used as a component of formed fuels. The utilization of the formed fuel components from segregated groups of waste in associated processes of co-combustion with conventional fuels causes significant savings resulting from partial replacement of fossil fuels, and reduction of environmental pollution resulting directly from the limitation of waste migration to the environment (soil, atmospheric air, surface and underground water). The realization of technological processes with the utilization of formed fuel in associated thermal systems should be qualified by technical criteria, which means that elementary processes as well as factors of sustainable development, from a global viewpoint, must not be disturbed. The utilization of post-process waste should be preceded by detailed technical, ecological and economic analyses. In order to optimize the mixing process of fuel components, a mathematical model of the forming process was created. The model is defined as a group of data structures which uniquely identify a real process and conversion of this data in algorithms based on a problem of linear programming. The paper also presents the optimization of parameters in the process of forming fuels using a modified simplex algorithm with a polynomial worktime. This model is a datum-point in the numerical modeling of real processes, allowing a precise determination of the optimal elementary composition of formed fuels components, with assumed constraints and decision variables of the task. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
0956053X
Volume :
28
Issue :
6
Database :
Academic Search Index
Journal :
Waste Management
Publication Type :
Academic Journal
Accession number :
31456155
Full Text :
https://doi.org/10.1016/j.wasman.2007.03.025