Abstract
Tighter environmental regulations and more heavy-end upgrading in the petroleum industry lead to increased demand for hydrogen in oil refineries. In this paper, the method proposed to optimize the refinery hydrogen network is based upon mathematical optimization of a superstructure whose objective function is the minimizing total annual cost (TAC) within the hydrogen network in a refinery. The constraints of flowrate, pressure, purifiers, impurities, and compressors were considered. The superstructure considers all the feasible connections and then subjects this to mixed-integer nonlinear programming (MINLP). This approach makes best use of resources and can provide significant environmental and economic benefits. A refinery system from China is used to illustrate the applicability of the approach.
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Jiao, Y., Su, H. (2010). Optimization of Refinery Hydrogen Network. In: Li, K., Fei, M., Jia, L., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science, vol 6329. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15597-0_40
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DOI: https://doi.org/10.1007/978-3-642-15597-0_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15596-3
Online ISBN: 978-3-642-15597-0
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