TY - JOUR
T1 - Sustainable utilization and storage of carbon dioxide
T2 - Analysis and design of an innovative supply chain
AU - Leonzio, Grazia
AU - Foscolo, Pier Ugo
AU - Zondervan, Edwin
PY - 2019/12/5
Y1 - 2019/12/5
N2 - A mixed integer linear programming model is developed for the optimal design of carbon capture utilization and storage supply chain in Germany. A sensitivity analysis shows that for the optimal supply chain the total costs are 97.9 billion €/year with a NPV of 675 billion € and a PB of 2.71 years: the economic profitability is ensured only due to the use carbon tax. Also, 160 MtonCO2 year are captured to produce methanol, concrete, wheat, lignin, polyurethane, calcium carbonate, urea and concrete by red mud. It is found that the selection of capture material/technology depends on CO2 composition, flue gas flow rate and CO2 final use The high flow rate of flue gasses with a CO2 composition between 13 mol% and 22 mol%, is most effectively captured by absorption technology. A Monte Carlo simulation is carried out to evaluate the uncertainties regarding the selling price and national demand of compounds.
AB - A mixed integer linear programming model is developed for the optimal design of carbon capture utilization and storage supply chain in Germany. A sensitivity analysis shows that for the optimal supply chain the total costs are 97.9 billion €/year with a NPV of 675 billion € and a PB of 2.71 years: the economic profitability is ensured only due to the use carbon tax. Also, 160 MtonCO2 year are captured to produce methanol, concrete, wheat, lignin, polyurethane, calcium carbonate, urea and concrete by red mud. It is found that the selection of capture material/technology depends on CO2 composition, flue gas flow rate and CO2 final use The high flow rate of flue gasses with a CO2 composition between 13 mol% and 22 mol%, is most effectively captured by absorption technology. A Monte Carlo simulation is carried out to evaluate the uncertainties regarding the selling price and national demand of compounds.
KW - CCUS supply chain
KW - CO reduction
KW - Mathematical model
KW - Monte Carlo simulation
KW - optimization
UR - http://www.scopus.com/inward/record.url?scp=85072832919&partnerID=8YFLogxK
U2 - 10.1016/j.compchemeng.2019.106569
DO - 10.1016/j.compchemeng.2019.106569
M3 - Article
AN - SCOPUS:85072832919
SN - 0098-1354
VL - 131
JO - Computers & chemical engineering
JF - Computers & chemical engineering
M1 - 106569
ER -
