Multi-objective, multi-period optimization of biomass conversion technologies using evolutionary algorithms and mixed integer linear programming (MILP)

The design and operation of energy systems are key issues for matching energy supply and demand. A systematic procedure, including process design and energy integration techniques for sizing and operation optimization of poly-generation technologies is presented in this paper. The integration of bio...

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Veröffentlicht in:	Applied thermal engineering Jg. 50; H. 2; S. 1504 - 1513
Hauptverfasser:	Fazlollahi, Samira, Maréchal, François
Format:	Journal Article Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.02.2013 Elsevier
Schlagworte:	Applied sciences Biomass Biomass conversion technologies CO2 mitigation Conversion Design engineering Energy Energy. Thermal use of fuels Engines and turbines Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc Evolutionary algorithm Exact sciences and technology Heat transfer Mixed integer Mixed integer linear programming Natural energy Optimization Poly-generation systems Sizing Supply and demand Theoretical studies. Data and constants. Metering Thermal engineering CO2 mitigation Poly-generation systems Mixed integer linear programming Evolutionary algorithm Biomass conversion technologies Costs Profitability Pollution control Biomass Pollutant emission Modeling Optimization Energy supply Energy conservation Gasification Gas engine Steam turbine mitigation Pollution prevention Linear programming CO Algorithm Case study Integer programming Combined cycle Renewable energy Supply demand balance Rankine cycle Primary energy Electric power production Gas turbine Cost analysis Natural gas
ISSN:	1359-4311
Online-Zugang:	Volltext
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