4.7 Article

Quantification of economic uncertainty for synthetic natural gas production in a H2O permeable membrane reactor as simultaneous power-to-gas and CO2 utilization technologies

Journal

ENERGY
Volume 182, Issue -, Pages 1058-1068

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2019.06.073

Keywords

Economic analysis; Power-to-gas; Synthetic natural gas; Membrane reactor; CO2 utilization; Uncertainty analysis

Funding

  1. Technology Development Program to Solve Climate Changes of the National Research Foundation (NRF) - Ministry of Science and ICT [NRF-2015M1A2A2074657]
  2. Korea Institute of Energy Technology Evaluation and Planning (KETEP) from the Ministry of Trade, Industry & Energy, Republic of Korea [20183010032380]
  3. Korea Evaluation Institute of Industrial Technology (KEIT) [20183010032380] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  4. National Research Foundation of Korea [2015M1A2A2074657] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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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. (C) 2019 Elsevier Ltd. All rights reserved.

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