期刊
ENERGY CONVERSION AND MANAGEMENT
卷 180, 期 -, 页码 250-257出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2018.10.070
关键词
Glycerol steam reforming; H-2 production; Distributed H-2 refueling stations; Techno-economic analysis; Uncertainty analysis
资金
- Technology Development Program Solve Climate Changes through the National Research Foundation Korea (NRF) - Ministry of Science, ICT [NRI 2018M1A2A2026257]
- Korea Institute of Energy Technology Evaluation and Planning (KETEP) from the Ministry of Trade, Industry & Energy, Republic of Korea [20182020201260]
- Korea Evaluation Institute of Industrial Technology (KEIT) [20182020201260] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
In this paper, we report an integrated techno-economic analysis of glycerol steam reforming (GSR) targeting distributed H-2 refueling stations for a H-2 production capacity of 700 m(3) h(-1). A process simulation based on mass and energy balances was performed to identify the product yield at effect of temperature and water/glycerol ratio. The results show that temperature of 900 K and a water/glycerol ratio of 9 are optimal to techno-economically operate a GSR process. An economic analysis using itemized cost estimation, sensitivity analysis (SA), and profitability analysis (PA) was carried out to investigate the economic feasibility of GSR for distributed H-2 refueling stations. The unit H-2 production cost was 4.46 $ kgH(2)(-1) at the optimum conditions identified in the process simulation, and the most influential economic key factor was the reactant from the SA. Meaningful economic indicators such as net present value, discounted payback period, present value ratio, and rate of return on investment were obtained from the PA through a discounted cash flow diagram. Moreover, a cumulative probability analysis based on an uncertainty analysis using a Monte-Carlo simulation method was applied to unit H-2 production cost and B/C ratio calculations to quantify the risk of a proposed GSR process as premature technology providing crucial guidelines to decision-makers.
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