OUTDOOR – An open-source superstructure construction and optimization tool

Kenkel, Philipp; Wassermann, Timo; Rose, Celina; Zondervan, Edwin

doi:10.1016/b978-0-323-88506-5.50065-6

Cited by 5 publications

(3 citation statements)

References 5 publications

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“…To strengthen scientific discussion and the ability to recreate scientific output, the optimization model is created with OUTDOOR (Open sUperstrucTure moDeling and OptimizatiOn fRamework) [42]. OUTDOOR is an open-source python module which combines object-oriented programming and data management with conventional algebraic modeling via the Pyomo modeling language.…”

Section: Solution Approachmentioning

confidence: 99%

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Renewable Fuels from Integrated Power- and Biomass-to-X Processes: A Superstructure Optimization Study

2022

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This work presents a superstructure optimization study for the production of renewable fuels with a focus on jet fuel. Power-to-X via the methanol (MTJ) and Fischer–Tropsch (FT) route is combined with Biomass-to-X (BtX) via an algae-based biorefinery to an integrated Power- and Biomass-to-X (PBtX) process. Possible integration by algae remnant utilization for H2/CO2 production, wastewater recycling and heat integration is included. Modeling is performed using the novel Open sUperstrucTure moDeling and OptimizatiOn fRamework (OUTDOOR). Novel methods to account for advanced mass balances and uncertain input data are included. Economic optimization proposes a PBtX process. This process combines algae processing with MTJ and depicts a highly mass- and energy integrated plant. It produces fuels at 211 EUR/MWhLHV (ca. 2530 EUR/t), a cost reduction of 21% to 11.5% compared to stand-alone electricity- or bio-based production at algae costs of 25 EUR/tAlgae-sludge and electricity costs of 72 EUR/MWh. Investigation of uncertain data indicates that a combination of BtX and MTJ is economically superior to FT for a wide parameter range. Only for high algae costs of >40 EUR/tAlgae-sludge stand-alone electricity-based MTJ is economically superior and for high MTJ costs above 2000–2400 EUR/tJet FT is the optimal option.

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Section: Solution Approachmentioning

confidence: 99%

“…Costs, greenhouse gas emissions and fresh water demand for raw materials and by-products (data adapted from[3,34,36,[39][40][41][42]). …”

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confidence: 99%

Renewable Fuels from Integrated Power- and Biomass-to-X Processes: A Superstructure Optimization Study

2022

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“…The details of the mathematical model formulation of the MILP are described extensively by Kenkel et al [11,36]. The framework is written as an object-oriented Python code utilizing the PYOMO algebraic modeling language and is available as open-source package on GitHub.…”

Section: Superstructure Formulation (Step 1)mentioning

confidence: 99%

4 Integrating multi-objective superstructure optimization and multi-criteria assessment: a novel methodology for sustainable process design

Kenkel¹,

Schnuelle²,

Wassermann³

et al. 2022

Process Systems Engineering

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This work presents a novel methodology for integrated multi-objective superstructure optimization and multi-criteria assessment. The method is tailored for sustainable process synthesis utilizing mixed-integer linear programming (MILP). The six-step algorithm includes 1) superstructure formulation, 2) criteria definition and implementation, 3) criteria weighting, 4) single-criterion optimization, 5) reformulation and 6) multi-criteria optimization. It is automated in the Open sUperstrucTure moDeling and OptimizatiOn fRamework (OUTDOOR) and tested on integrated power-to-X and biomass-to-X processes for methanol production. Three criteria are considered, namely net production costs (NPC), net production greenhouse gas emissions (NPE) and net production fresh water demand (NPFWD). The optimization indicates NPC of 1307 €/t MeOH with NPE of −2.23 t CO 2 /t MeOH and NPFWD of −3.42 t H 2 O /t MeOH for an optimal trade-off plant. The plant configuration features low-pressure alkaline electrolysis for hydrogen supply, absorption-based CO 2 capture and steam production from methanol purge gas for internal heat supply. Conducted variation and sensitivity analyses indicate that methanol costs can drop to about 500 €/t MeOH if electricity is free of charge, or to 805 €/t MeOH if biogas is available at large quantities, if a least-cost process layouts are considered. However, all performed multi-criteria analyses imply a robust optimal process design utilizing electricity-based methanol production.

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Heat integration for superstructure models: A MILP formulation for easy implementation and fast computing

Kenkel

Wassermann

Zondervan

2022

Computer Aided Chemical Engineering

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OUTDOOR – An open-source superstructure construction and optimization tool

Cited by 5 publications

References 5 publications

Renewable Fuels from Integrated Power- and Biomass-to-X Processes: A Superstructure Optimization Study

Renewable Fuels from Integrated Power- and Biomass-to-X Processes: A Superstructure Optimization Study

4 Integrating multi-objective superstructure optimization and multi-criteria assessment: a novel methodology for sustainable process design

Heat integration for superstructure models: A MILP formulation for easy implementation and fast computing

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