A mixed integer non-linear programming model for tactical value chain optimization of a wood biomass power plant

► Developed a mathematical model to optimize the supply chain of a forest biomass power plant. ► Considered supply, storage, production and ash management. ► The model provided more profit compared to the actual profit of the company. ► Biomass purchase cost had the highest share in total cost. ► In...

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Veröffentlicht in:	Applied energy Jg. 104; S. 353 - 361
Hauptverfasser:	Shabani, Nazanin, Sowlati, Taraneh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.04.2013 Elsevier
Schlagworte:	algorithms Applied sciences Ashes Biomass Canada computer software economic systems ecosystem services Electric power generation Electric power plants Electricity Energy Exact sciences and technology Forest biomass power plant Forests Mathematical models Mathematical programming Natural energy Non-linear mixed integer programming nonlinear models Optimization power plants Renewable energy renewable energy sources supply chain Supply chain management Supply chains transportation wood Canada Forest biomass power plant Supply chain management Renewable energy Optimization Non-linear mixed integer programming Mathematical programming Electric power plant Wood Supply Linear programming Non linear programming Biomass Non linear model
ISSN:	0306-2619, 1872-9118
Online-Zugang:	Volltext
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