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

被引:8
作者
Lee, Boreum [1 ]
Lee, Hyunjun [1 ]
Kim, Sehwa [2 ]
Cho, Hyun-Seok [3 ]
Cho, Won-Chul [3 ]
Jeon, Byong-Hun [4 ]
Kim, Chang-Hee [3 ]
Lim, Hankwon [1 ]
机构
[1] Ulsan Natl Inst Sci & Technol, Sch Energy & Chem Engn, 50 UNIST Gil, Ulsan 44919, South Korea
[2] Catholic Univ Daegu, Dept Adv Mat & Chem Engn, 13-13 Hayang Ro, Gyongsan 38430, Gyeongbuk, South Korea
[3] Korea Inst Energy Res, Hydrogen Lab, 152 Gajeong Ro, Daejeon 34129, South Korea
[4] Hanyang Univ, Dept Earth Resources & Environm Engn, 222 Wangsimni Ro, Seoul 04763, South Korea
基金
新加坡国家研究基金会;
关键词
Economic analysis; Power-to-gas; Synthetic natural gas; Membrane reactor; CO2; utilization; Uncertainty analysis; PEM WATER ELECTROLYSIS; HYDROGEN-PRODUCTION; TECHNOECONOMIC ANALYSIS; METHANOL PRODUCTION; COMPOSITE MEMBRANE; STEAM; PRESSURE; METHANATION; CAPTURE; PERFORMANCE;
D O I
10.1016/j.energy.2019.06.073
中图分类号
O414.1 [热力学];
学科分类号
摘要
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.
引用
收藏
页码:1058 / 1068
页数:11
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