A generic superstructure modeling and optimization framework on the example of bi-criteria Power-to-Methanol process design

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

doi:10.1016/j.compchemeng.2021.107327

Cited by 22 publications

(16 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The approach assumes natural gas combustion with a cascade of four heat exchangers to produce superheated, high-, medium-as well as low-pressure steam. Natural gas at costs were assumed to be 2.785 ct/kWh [12]. Costs of unit-operations, natural gas and final cooling were allocated to the different steam types based on their energy content.…”

Section: Raw Materials Distributors Productsmentioning

confidence: 99%

“…OUTDOOR models are written as mixed-integer linear programming models (MILP) which allows the usage of different open-source as well as state-of-the art commercial solvers. The base model is extensively presented and discussed by Kenkel et al [12]. It utilizes different concepts modelling and programming concepts as well as approaches from techno-economic and life cycle analysis calculations [43][44][45][46].…”

Section: Solution Approachmentioning

confidence: 99%

“…However, this comes at the price of substantial higher capital costs. Kenkel et al investigated bi-criteria power-to-methanol process designs with different CO 2 sources and different electrolyzer types in combination with direct hydrogenation of CO 2 to methanol [12]. In their work, green methanol is produced cost-optimally by a combination of low-pressure alkaline electrolysis, CO 2 from flue gases captured by amine scrubbing and utilization of purge gases for steam production.…”

Section: Introductionmentioning

confidence: 99%

“…Using this process layout methanol is produced at ca. 900 EUR/t, with H 2 supply contributing over 70% of the total costs [12].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

2022

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Raw Materials Distributors Productsmentioning

confidence: 99%

Section: Solution Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Using this process layout methanol is produced at ca. 900 EUR/t, with H 2 supply contributing over 70% of the total costs [12].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…In an integrated refinery, the produced H 2 could satisfy the hydro-processing demand, while the SynFeed could be converted to 250 kt/y of methanol. The methanol, in turn, could be further processed to 50 kt/y of jet fuel with diesel, gasoline and LPG as byproducts, using Lurgi's MtSynfuels process [37,38]. This would double the capacity of the algae refinery and substitute about 320 MW electrolyser capacity, compared to an electricity-based approach [39].…”

Section: Biogas Reforming As a Precursor For Integrated Algae Biorefineriesmentioning

confidence: 99%

Biogas Reforming as a Precursor for Integrated Algae Biorefineries: Simulation and Techno-Economic Analysis

2021

Self Cite

View full text Add to dashboard Cite

Biogas is a significant by-product produced in algae processing and may be used for many different applications, not only as a renewable energy carrier but also as a chemical intermediate in integrated algae-based biorefineries. In this work, the reforming of biogas to H2/CO2 mixtures (referred to as SynFeed) as feed for the direct hydrogenation of CO2 to methanol is investigated. Two conventional processes, namely steam methane and autothermal reforming, with upstream CO2 separation from raw biogas are compared to novel concepts of direct biogas bi- and tri-reforming. In addition, downstream CO2 separation from SynFeed using the commercial Selexol process to produce pure H2 and CO2 is considered. The results show that upstream CO2 separation with subsequent steam methane reforming is the most economic process, costing 142.48 €/tSynFeed, and taking into consideration the revenue from excess hydrogen. Bi-reforming is the most expensive process, with a cost of 413.44 €/tSynFeed, due to the high demand of raw biogas input. Overall, SynFeed from biogas is more economical than SynFeed from CO2 capture and water electrolysis (464 €/tSynFeed), but is slightly more expensive than using natural gas as an input (107 €/SynFeed). Carbon capture using Selexol comes with costs of 22.58–27.19 €/tCO2, where approximately 50% of the costs are derived from the final CO2 compression.

show abstract

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

Kenkel

Wassermann

Zondervan

2022

Computer Aided Chemical Engineering

View full text Add to dashboard Cite

A generic superstructure modeling and optimization framework on the example of bi-criteria Power-to-Methanol process design

Cited by 22 publications

References 30 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

Biogas Reforming as a Precursor for Integrated Algae Biorefineries: Simulation and Techno-Economic Analysis

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

Contact Info

Product

Resources

About