Renewable methanol synthesis from renewable H2 and captured CO2: How can power-to-liquid technology be economically feasible?

Boreum Lee, Hyunjun Lee, Dongjun Lim, Boris Brigljević, Wonchul Cho, Hyun Seok Cho, Chang Hee Kim, Hankwon Lim

Research output: Contribution to journalArticlepeer-review

114 Scopus citations

Abstract

With the growing concern about environmental issues including high CO2 emission, which is the main contributor to global warming resulting in climate change, CO2 utilization technologies have received much attention. Among diverse technologies, renewable methanol synthesis using H2 generated from the water electrolysis and the CO2 captured from various industrial processes as well as the atmosphere has received significant attention. In this context, the technical and economic feasibility analysis of renewable methanol synthesis was conducted in this study. Using a commercial process simulation program, Aspen HYSYS®, parametric studies were conducted to investigate the effects of diverse operating parameters, such as the reaction pressure, temperature, and H2/CO2 ratio, on the technical performance of this process. Under the optimum conditions of 100 bar and 493 K derived from thermodynamic studies, an economic analysis was performed to estimate the unit methanol production costs at different methanol production capacities using itemized cost estimation, sensitivity analysis, and predictive cost analysis. Predictive cost analysis was conducted to determine how the unit methanol production cost could be rendered reasonable compared to the existing one, which indicated that decreasing the renewable H2 production cost as well as increasing in the CO2 tax credit for a methanol production capacity of 100 ton per day would make the renewable methanol synthesis an economically feasible process.

Original languageEnglish
Article number115827
JournalApplied Energy
Volume279
DOIs
StatePublished - 1 Dec 2020

Keywords

  • CO utilization
  • Economic analysis
  • Predictive cost analysis
  • Process simulation
  • Renewable methanol synthesis

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