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Erschienen in:

2017 | OriginalPaper | Buchkapitel

5. Data-Based Model Reduction for Refinery-Wide Optimization

verfasst von : Taoufiq Gueddar, Vivek Dua

Erschienen in: Advances in Energy Systems Engineering

Verlag: Springer International Publishing

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Abstract

Production optimization and planning is a key part of the modern process industry operations. It plays a major role in sustaining the profitability of the operations and providing decision making guidelines to attain business objectives through achieving best margins and minimum operating costs. Numerous industries have benefited from planning models to achieve optimal operations subject to technologies involved, resources requirements, production constraints and available markets for the products sales.

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Octane number: The octane number is a quantitative measure of the maximum compression ratio at which a particular gasoline/naphtha product can be utilized in internal combustion engines without some of the fuel-air mixture undergoing self-ignition.

Alattas, A. M., Grossmann, I. E., & Palou-Rivera, I. (2011). Integration of nonlinear crude distillation unit models in refinery planning optimization. Industrial and Engineering Chemistry Research, 50(11), 6860–6870.CrossRef

Ancheyta, J., Sanchez, S., & Rodriguez, M. A. (2005). Kinetic modeling of hydrocracking of heavy oil fractions: A review. Catalysis Today, 109(1), 76–92.CrossRef

Ancheyta-Juarez, J., & Villafuerte-Macias, E. (2000). Kinetic modeling of naphtha catalytic reforming reactions. Energy & Fuels, 14(5), 1032–1037.CrossRef

Arani, H., Shirvani, M., Safdarian, K., & Dorostkar, E. (2009). Lumping procedure for a kinetic model of catalytic naphtha reforming. Brazilian Journal of Chemical Engineering, 26(4), 723–732.CrossRef

Caballero, J. A., & Grossmann, I. E. (2004). Design of distillation sequences: From conventional to fully thermally coupled distillation systems. Computers & Chemical Engineering, 28(11), 2307–2329.CrossRef

Chang, A. F., Pashikanti, K., & Liu, Y. A. (2013). Refinery engineering: Integrated process modeling and optimization. Wiley.

Del Bianco, A., Panariti, N., Anelli, M., Beltrame, P., & Carniti, P. (1993). Thermal cracking of petroleum residues: 1. Kinetic analysis of the reaction. Fuel, 72(1), 75–80.CrossRef

Dua, V. (2010). A mixed-integer programming approach for optimal configuration of artificial neural networks. Chemical Engineering Research and Design, 88(1), 55–60.CrossRef

Dua, V., Papalexandri, K. P., & Pistikopoulos, E. (2004). Global optimization issues in multiparametric continuous and mixed-integer optimization problems. Journal of Global Optimization, 30(1), 59–89.MathSciNetCrossRefMATH

Favennec, J.-P. (2001). Petroleum refining: Refinery operation and management (Vol. 5). Editions Technip.

Gadalla, M., Jobson, M., & Smith, R. (2003). Optimization of existing heat-integrated refinery distillation systems. Chemical Engineering Research and Design, 81(1), 147–152.CrossRef

Gary, J. H., & Handwerk, G. E. (1994). Petroleum refining, technology and economics, Petroleum refining crude oil (4th ed.).

Georgiadis, M. C., Pistikopoulos, E. N., & Vivek, D. (2008). Energy systems engineering (Vol. 5). Wiley-VCH Verlag GmbH.

Gueddar, T., & Dua, V. (2011). Disaggregation–aggregation based model reduction for refinery-wide optimization. Computers & Chemical Engineering, 35(9), 1838–1856.CrossRef

Gueddar, T., & Dua, V. (2012). Novel model reduction techniques for refinery-wide energy optimisation. Applied Energy, 89(1), 117–126.CrossRef

Guerra, O. J., & Le Roux, G. A. (2011). Improvements in petroleum refinery planning: 1. Formulation of process models. Industrial and Engineering Chemistry Research, 50(23), 13403–13418.CrossRef

Himmelblau, D. M. (2008). Accounts of experiences in the application of artificial neural networks in chemical engineering. Industrial and Engineering Chemistry Research, 47(16), 5782–5796.CrossRef

Hornik, K., Stinchcombe, M., & White, H. (1989). Multilayer feedforward networks are universal approximators. Neural networks, 2(5), 359–366.CrossRef

Hussain, M., & Kershenbaum, L. (2000). Implementation of an inverse-model-based control strategy using neural networks on a partially simulated exothermic reactor. Chemical Engineering Research and Design, 78(2), 299–311.CrossRef

Mendez, C. A., Grossmann, I. E., Harjunkoski, I., & Kaboré, P. (2006). A simultaneous optimization approach for off-line blending and scheduling of oil-refinery operations. Computers & Chemical Engineering, 30(4), 614–634.CrossRef

Pandey, S. C., Ralli, D. K., Saxena, A. K., & Alamkhan, W. K. (2004). Physicochemical characterization and applications of naphtha. Journal of Scientific & Industrial Research, 63(3), 276–282.

Parkash, S. (2003). Refining processes handbook. Gulf Professional Publishing.

Powell, R. T., & Yu, C.-Y. (2004). Refinery reaction modelling trends. Hydrocarbon Engineering, 21.

Slaback, D. D., & Riggs, J. B. (2007). The inside-out approach to refinery-wide optimization. Industrial and Engineering Chemistry Research, 46(13), 4645–4653.CrossRef

Sundaram, K., & Froment, G. (1977). Modeling of thermal cracking kinetics—I: Thermal cracking of ethane, propane and their mixtures. Chemical Engineering Science, 32(6), 601–608.CrossRef

Symonds, G. H. (1955). Linear programming: The solution of refinery problems. Esso Standard Oil Company.

Taskar, U. M. (1996). Modeling and optimization of a catalytic naphtha reformer. Doctoral dissertation. Texas Tech University.

Theologos, K., & Markatos, N. (1993). Advanced modeling of fluid catalytic cracking riser-type reactors. AIChE Journal, 39(6), 1007–1017.CrossRef

Umana, B., et al. (2014). Integrating hydroprocessors in refinery hydrogen network optimisation. Applied Energy, 133, 169–182.

Van Landeghem, F., Nevicato, D., Pitault, I., Forissier, M., Turlier, P., Derouin, C., et al. (1996). Fluid catalytic cracking: Modelling of an industrial riser. Applied Catalysis A: General, 138(2), 381–405.CrossRef

Venkatasubramanian, V., & Chan, K. (1989). A neural network methodology for process fault diagnosis. AIChE Journal, 35(12), 1993–2002.CrossRef

Yang, Y., & Barton, P. I. (2015). Refinery optimization integrated with a nonlinear crude distillation unit model.

Yang, Y., & Barton, P. I. (2015). Integrated crude selection and refinery optimization under uncertainty. AIChE Journal.

Zhou, L., et al. (2015). Energy configuration and operation optimization of refinery fuel gas networks. Applied Energy, 139, 365–375.

Titel: Data-Based Model Reduction for Refinery-Wide Optimization
verfasst von: Taoufiq Gueddar
Vivek Dua
Verlag: Springer International Publishing
Buch: Advances in Energy Systems Engineering
Print ISBN: 978-3-319-42802-4

Electronic ISBN: 978-3-319-42803-1

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-42803-1_5