ASPEN modeling of the Tri-State indirect-liquefaction process

Begovich, J.M.; Clinton, J.H.; Johnson, Paula J.; Barker, R.E.

doi:10.2172/5688355

Cited by 14 publications

(13 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the proprietary nature of the process, very little information has been published about the performance of the gasoline reactor, thus complicating the process simulation effort. However, a RYield block was chosen to simulate the gasoline synthesis (with SRK) using product yield structure (See Table 4) scrutinized by Larson et al [49] based on the work of Barker et al [50] and Schreiner [51].…”

Section: Synthesis Of Gasolinementioning

confidence: 99%

Co-production of synthetic fuels and district heat from biomass residues, carbon dioxide and electricity: Performance and cost analysis

Hannula

2015

Biomass and Bioenergy

100

View full text Add to dashboard Cite

Section: Synthesis Of Gasolinementioning

confidence: 99%

Co-production of synthetic fuels and district heat from biomass residues, carbon dioxide and electricity: Performance and cost analysis

Hannula

2015

Biomass and Bioenergy

100

View full text Add to dashboard Cite

“…An Aspen Plus ® "REquil" block is used to simulate the DME reactor, assuming that the methanol dehydration reaction is at chemical equilibrium -a good approximation. 11,14,24 The small amounts of CH 4 and C 2 H 6 dissolved in the feed methanol are assumed to be inert in the DME reactor (and also in the subsequent MTG reactor). 24 The DME reactor is modeled as adiabatic, and the equilibrium mixture of DME, methanol, and water leaves at 409 o C. Figure 6.…”

Section: Box A: the Greenhouse Gas Emissions Index (Ghgi)mentioning

confidence: 99%

“…We use an Aspen "RYield" block to simulate the 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 17 MTG reaction. We developed a detailed product yield structure by scrutinizing Barker, et al(1983) 14 and Schreiner (1978) 11 and adopting a structure for our simulations based on these (Table 4). Our simulation produces an aggregated yield structure that is compared with other published values in Table 5.…”

Section: Box A: the Greenhouse Gas Emissions Index (Ghgi)mentioning

confidence: 99%

“…Table 4. Comparison of fixed-bed MTG yield structures (per kg of pure methanol input to DME reactor) published by Barker 14 Jones 16 and Schreiner. 11 The last column is the yield structure assumed for the simulation work reported in this paper.…”

Section: Box A: the Greenhouse Gas Emissions Index (Ghgi)mentioning

confidence: 99%

“…Other process feasibility studies for coal to gasoline via MTG followed. 12,13,14 Zhao, et al 15 provide a more recent update of developments of the MTG process from coal including improved MTG catalysts, heat integration, and process optimization.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Gasoline from Coal and/or Biomass with CO₂ Capture and Storage. 1. Process Designs and Performance Analysis

et al. 2015

View full text Add to dashboard Cite

Fifteen alternative process designs for the production of synthetic gasoline from coal, biomass, or coal+biomass via gasification, methanol synthesis, and methanol-to-gasoline synthesis are analyzed, including some that produce a substantial electricity co-product and some that employ CO 2 capture, with CO 2 stored in deep saline formations or via injection for enhanced oil recovery. This paper reports process mass/energy balance simulation results and fuel-cycle greenhouse gas (GHG) emissions comparisons. A companion paper addresses economic and strategic issues. Key findings of the performance analysis include: i) for two plants designed with the same liquid fuel output, but with one co-producing electricity, the additional feedstock needed for coproduction is converted to electricity more efficiently than if that feedstock were used in a stand-alone power plant; ii) plants using only coal as feedstock have fuel-cycle GHG emissions greater than the conventional fossil fuels their products would displace, except for a coproduction system with CO 2 capture and storage (CCS) which has about 40% less emissions; iii) plants that co-process 35% to 47%sustainably-provided biomass with coal achieve net zero fuel-cycle GHG emissions; iv) the logistics of biomass supply constrain these latter plants to modest scales (< 10,000 barrels per day gasoline); and v) a biomass-only plant with CCS has highly negative net GHG emissions and a more severe scale constraint (~ 4,000 bpd).

show abstract

Validation and Application of a Kinetic Model for Downdraft Biomass Gasification Simulation

et al. 2019

View full text Add to dashboard Cite

Biomass gasification is widely recognized as an effective method to obtain renewable energy. To accurately predict the syngas and tar compositions is a challenge. A chemical reaction kinetics model based on comprehensive gasification kinetics is proposed to simulate downdraft biomass gasification. The kinetic model is validated by direct comparison to experimental results of two downdraft gasifiers available in the literature and is found to be more accurate than the widely used Gibbs energy‐minimizing model (GEM model). The kinetic model is then applied to investigate the effects of equivalence ratio (ER), gasification temperature, biomass moisture content, and biomass composition on syngas and tar production. Accurate water‐gas shift and CO shift reaction kinetics are found critical to achieve good agreement with experimental results.

show abstract

ASPEN modeling of the Tri-State indirect-liquefaction process

Cited by 14 publications

References 0 publications

Co-production of synthetic fuels and district heat from biomass residues, carbon dioxide and electricity: Performance and cost analysis

Co-production of synthetic fuels and district heat from biomass residues, carbon dioxide and electricity: Performance and cost analysis

Gasoline from Coal and/or Biomass with CO₂ Capture and Storage. 1. Process Designs and Performance Analysis

Validation and Application of a Kinetic Model for Downdraft Biomass Gasification Simulation

Contact Info

Product

Resources

About

ASPEN modeling of the Tri-State indirect-liquefaction process

Cited by 14 publications

References 0 publications

Co-production of synthetic fuels and district heat from biomass residues, carbon dioxide and electricity: Performance and cost analysis

Co-production of synthetic fuels and district heat from biomass residues, carbon dioxide and electricity: Performance and cost analysis

Gasoline from Coal and/or Biomass with CO2 Capture and Storage. 1. Process Designs and Performance Analysis

Validation and Application of a Kinetic Model for Downdraft Biomass Gasification Simulation

Contact Info

Product

Resources

About

Gasoline from Coal and/or Biomass with CO₂ Capture and Storage. 1. Process Designs and Performance Analysis