Quantification of economic uncertainty for synthetic natural gas production in a H2O permeable membrane reactor as simultaneous power-to-gas and CO2 utilization technologies
- Authors
- Lee, Boreum; Lee, Hyunjun; Kim, Sehwa; Cho, Hyun-Seok; Cho, Won-Chul; Jeon, Byong Hun; Kim, Chang-Hee; Lim, Hankwon
- Issue Date
- Sep-2019
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Keywords
- Economic analysis; Power-to-gas; Synthetic natural gas; Membrane reactor; CO2 utilization; Uncertainty analysis
- Citation
- ENERGY, v.182, pp.1058 - 1068
- Indexed
- SCIE
SCOPUS
- Journal Title
- ENERGY
- Volume
- 182
- Start Page
- 1058
- End Page
- 1068
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/147182
- DOI
- 10.1016/j.energy.2019.06.073
- ISSN
- 0360-5442
- Abstract
- Economic uncertainty analysis of employing a membrane reactor (MR) equipped with H2O separation membranes for a synthetic natural gas (SNG) production as simultaneous power-to-gas and CO2 utilization technologies was carried out. Based on previously reported reaction kinetics, process simulation models were created for a conventional packed-bed reactor (PBR) and an MR. Deterministic economic analysis showed the unit SNG production cost of 1.67 $ kgSNG(-1) in an MR compared to 1.82 $ kgSNG(-1) in a PBR for a SNG production capacity of 1000 kg d(-1), showing about 8% cost reductions in the MR. From sensitivity analysis, raw material and labor were identified as the key economic factors to affect a unit SNG production cost for all cases studied. Stochastic economic analysis using a Monte-Carlo simulation method provided better insights for economic-uncertainty associated with premature technology like a SNG production in an MR using H2O separation membranes by presenting a wide range of SNG production costs and their probability.
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