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Baranwal M, Selukar M, Lotti R, Paranjape AA, Majumder S, Rocher J. A scalable optimization framework for refinery operation and management. Comput Chem Eng 2023. [DOI: 10.1016/j.compchemeng.2023.108242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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2
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Monthly schedule of crude refinery: Multi-scale strategy and multi-criteria objective. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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3
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Solving the pooling problem at scale with extensible solver GALINI. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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4
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Castro PM. A piecewise relaxation for quadratically constrained problems based on a mixed-radix numeral system. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107459] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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5
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Refinery-wide planning operations under uncertainty via robust optimization approach coupled with global optimization. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2020.107205] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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6
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Discrete time reactive scheduling of gasoline blending and product delivery in presence of demand and component uncertainties using graphical genetic algorithm. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.107100] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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7
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An approximate method for the optimization of long-Horizon tank blending and scheduling operations. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.106839] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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8
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Kelly JD, Menezes BC, Grossmann IE. Successive LP Approximation for Nonconvex Blending in MILP Scheduling Optimization Using Factors for Qualities in the Process Industry. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b01093] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Jeffrey D. Kelly
- Industrial Algorithms Limited, 15 Saint Andrews Road, Toronto, Ontario M1P 4C3, Canada
| | - Brenno C. Menezes
- Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
| | - Ignacio E. Grossmann
- Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
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9
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Castro PM, Grossmann IE, Zhang Q. Expanding scope and computational challenges in process scheduling. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.01.020] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Duckwen AC, Moreno MS, Borio DO, Bandoni JA. Disjunctive Optimization Model for the Production Planning and Blending of Crude Oil in a Conventional Oil Field. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.7b03526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Ana C. Duckwen
- Planta Piloto de Ingeniería Química (PLAPIQUI), Universidad Nacional del Sur (UNS)- CONICET, Camino La Carrindanga km 7, Bahía Blanca 8000, Argentina
| | - M. Susana Moreno
- Planta Piloto de Ingeniería Química (PLAPIQUI), Universidad Nacional del Sur (UNS)- CONICET, Camino La Carrindanga km 7, Bahía Blanca 8000, Argentina
| | - Daniel O. Borio
- Planta Piloto de Ingeniería Química (PLAPIQUI), Universidad Nacional del Sur (UNS)- CONICET, Camino La Carrindanga km 7, Bahía Blanca 8000, Argentina
| | - J. Alberto Bandoni
- Planta Piloto de Ingeniería Química (PLAPIQUI), Universidad Nacional del Sur (UNS)- CONICET, Camino La Carrindanga km 7, Bahía Blanca 8000, Argentina
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Castillo Castillo P, Castro PM, Mahalec V. Global Optimization Algorithm for Large-Scale Refinery Planning Models with Bilinear Terms. Ind Eng Chem Res 2017. [DOI: 10.1021/acs.iecr.6b01350] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
| | - Pedro M. Castro
- Centro
de Matemática Aplicações Fundamentais e Investigação
Operacional, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal
| | - Vladimir Mahalec
- Department of Chemical
Engineering, McMaster University, Hamilton, ON L8S 4A7, Canada
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Reinheimer MA, Scenna NJ, Mussati SF. Optimal synthesis and design of the number of cycles in the leaching process for surimi production. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY 2016; 53:4325-4335. [PMID: 28115773 PMCID: PMC5223268 DOI: 10.1007/s13197-016-2431-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 11/24/2016] [Accepted: 11/30/2016] [Indexed: 06/06/2023]
Abstract
Water consumption required during the leaching stage in the surimi manufacturing process strongly depends on the design and the number and size of stages connected in series for the soluble protein extraction target, and it is considered as the main contributor to the operating costs. Therefore, the optimal synthesis and design of the leaching stage is essential to minimize the total annual cost. In this study, a mathematical optimization model for the optimal design of the leaching operation is presented. Precisely, a detailed Mixed Integer Nonlinear Programming (MINLP) model including operating and geometric constraints was developed based on our previous optimization model (NLP model). Aspects about quality, water consumption and main operating parameters were considered. The minimization of total annual costs, which considered a trade-off between investment and operating costs, led to an optimal solution with lesser number of stages (2 instead of 3 stages) and higher volumes of the leaching tanks comparing with previous results. An analysis was performed in order to investigate how the optimal solution was influenced by the variations of the unitary cost of fresh water, waste treatment and capital investment.
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Affiliation(s)
- M. Agustina Reinheimer
- CAIMI –Centro de Aplicaciones Informáticas y Modelado en
Ingeniería, UTN, FRRo – Universidad Tecnológica Nacional, Facultad Regional
Rosario, Zeballos 1346, S2000BQA Rosario, Argentina
- CONICET – Consejo Nacional de Investigaciones Científicas y
Técnicas, Buenos Aires, Argentina
| | - Nicolás J. Scenna
- CAIMI –Centro de Aplicaciones Informáticas y Modelado en
Ingeniería, UTN, FRRo – Universidad Tecnológica Nacional, Facultad Regional
Rosario, Zeballos 1346, S2000BQA Rosario, Argentina
- CONICET – Consejo Nacional de Investigaciones Científicas y
Técnicas, Buenos Aires, Argentina
| | - Sergio F. Mussati
- CAIMI –Centro de Aplicaciones Informáticas y Modelado en
Ingeniería, UTN, FRRo – Universidad Tecnológica Nacional, Facultad Regional
Rosario, Zeballos 1346, S2000BQA Rosario, Argentina
- INGAR-CONICET -Instituto de Desarrollo y Diseño, Avellaneda 3657, S3002GJC Santa Fe, Argentina
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Marchetti PA, Zamarripa MA, Reyes-Labarta JA, Grossmann IE, Bucey W, Majewski RA. Optimal planning and feedstock-mix selection for multiproduct polymer production. Comput Chem Eng 2016. [DOI: 10.1016/j.compchemeng.2016.09.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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15
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Castro PM. Source-based discrete and continuous-time formulations for the crude oil pooling problem. Comput Chem Eng 2016. [DOI: 10.1016/j.compchemeng.2016.06.016] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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17
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Cerdá J, Pautasso PC, Cafaro DC. Optimizing Gasoline Recipes and Blending Operations Using Nonlinear Blend Models. Ind Eng Chem Res 2016. [DOI: 10.1021/acs.iecr.6b01566] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Jaime Cerdá
- INTEC (UNL-CONICET), Güemes 3450, 3000 Santa Fe, Argentina
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18
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Using functional programming to recognize named structure in an optimization problem: Application to pooling. AIChE J 2016. [DOI: 10.1002/aic.15308] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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19
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Lotero I, Trespalacios F, Grossmann IE, Papageorgiou DJ, Cheon MS. An MILP-MINLP decomposition method for the global optimization of a source based model of the multiperiod blending problem. Comput Chem Eng 2016. [DOI: 10.1016/j.compchemeng.2015.12.017] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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21
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Ting L, Castro PM, Zhimin L. Models and relaxations for the wastewater treatment design problem. Chem Eng Res Des 2016. [DOI: 10.1016/j.cherd.2015.12.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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22
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Castillo-Castillo PA, Mahalec V. Inventory pinch gasoline blend scheduling algorithm combining discrete- and continuous-time models. Comput Chem Eng 2016. [DOI: 10.1016/j.compchemeng.2015.08.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Shah NK, Sahay N, Ierapetritou MG. Efficient Decomposition Approach for Large-Scale Refinery Scheduling. Ind Eng Chem Res 2015. [DOI: 10.1021/ie504835b] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Nikisha K. Shah
- Chemical and Biochemical
Engineering Department, Rutgers University, New Jersey, United States
| | - Nihar Sahay
- Chemical and Biochemical
Engineering Department, Rutgers University, New Jersey, United States
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Affiliation(s)
- Pedro M. Castro
- Centro de Matemática Aplicações Fundamentais e Investigação Operacional, Faculdade de Ciências, Universidade de Lisboa; 1749-016 Lisboa Portugal
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Castro PM, Grossmann IE. Global Optimal Scheduling of Crude Oil Blending Operations with RTN Continuous-time and Multiparametric Disaggregation. Ind Eng Chem Res 2014. [DOI: 10.1021/ie503002k] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Pedro M. Castro
- Centro
de Investigação Operacional, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal
- Department
of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213-3890, United States
| | - Ignacio E. Grossmann
- Department
of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213-3890, United States
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Trespalacios F, Grossmann I. Review of Mixed-Integer Nonlinear and Generalized Disjunctive Programming Methods. CHEM-ING-TECH 2014. [DOI: 10.1002/cite.201400037] [Citation(s) in RCA: 118] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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30
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