Process Pathways Optimization for a Lignocellulosic Biorefinery Producing Levulinic Acid, Succinic Acid, and Ethanol
| Autor: | Raffaele Cerulli, Aristide Giuliano, Giancarlo Raiconi, Massimo Poletto, Diego Barletta |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Internal rate of return
020209 energy General Chemical Engineering Biomass Discrete event simulation 02 engineering and technology Raw material Industrial and Manufacturing Engineering chemistry.chemical_compound Economic objective function Process flow-sheet Biomass allocation Organic acids Industrial processs Functions 0202 electrical engineering electronic engineering information engineering Levulinic acid Chemical analysis Chemical products Mathematics Refining (metallurgy) Earnings Ethanol Flowcharting Integer programming Mathematical programming Refining Sensitivity analysis Discretization method Net present value General Chemistry Maximization Pulp and paper industry Biorefinery chemistry Succinic acid |
| Zdroj: | Industrial & Engineering Chemistry Research. 55:10699-10717 |
| ISSN: | 1520-5045 0888-5885 |
| DOI: | 10.1021/acs.iecr.6b01454 |
| Popis: | Process flowsheet optimization of a lignocellulosic biorefinery coproducing levulinic acid, succinic acid, and ethanol was performed to maximize an economic objective function (either the net present value, NPV, or the internal rate of return, IRR, alternatively) by means of mathematical programming methods. Most promising alternative industrial processes were selected to build the superstructure of the biorefinery. A discretization method was applied to obtain a MILP approximation of the resulting MINLP master problem. NPV maximization for a biorefinery with hardwood feedstock provided with an optimal flowsheet with all three products. Larger biomass allocation values resulted for levulinic acid and succinic acid (more than 40% each). A sensitivity analysis highlighted that the optimal flowsheet was significantly dependent on the economic scenario (chemical products selling price, discount rate) and on the plant scale. Finally, alternative maximization of NPV and of IRR provided different optimal flowshe... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|