Academic literature on the topic 'Multicomponent Batch Distillation System'

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Journal articles on the topic "Multicomponent Batch Distillation System"

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Luyben, William L. "Multicomponent batch distillation. 1. Ternary systems with slop recycle." Industrial & Engineering Chemistry Research 27, no. 4 (1988): 642–47. http://dx.doi.org/10.1021/ie00076a019.

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Barolo, M., and G. B. Guarise. "Batch Distillation of Multicomponent Systems with Constant Relative Volatilities." Chemical Engineering Research and Design 74, no. 8 (1996): 863–71. http://dx.doi.org/10.1205/026387696523166.

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Reuter, E., G. Wozny, and L. Jeromin. "Modeling of multicomponent batch distillation processes with chemical reaction and their control systems." Computers & Chemical Engineering 13, no. 4-5 (1989): 499–510. http://dx.doi.org/10.1016/0098-1354(89)85032-x.

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Al-Tuwaim, Mohammad S., and William L. Luyben. "Multicomponent batch distillation. 3. Shortcut design of batch distillation columns." Industrial & Engineering Chemistry Research 30, no. 3 (1991): 507–16. http://dx.doi.org/10.1021/ie00051a011.

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Diwekar, Urmila M., and K. P. Madhavan. "Multicomponent batch distillation column design." Industrial & Engineering Chemistry Research 30, no. 4 (1991): 713–21. http://dx.doi.org/10.1021/ie00052a014.

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Ahmad, Berit S., and Paul I. Barton. "Homogeneous multicomponent azeotropic batch distillation." AIChE Journal 42, no. 12 (1996): 3419–33. http://dx.doi.org/10.1002/aic.690421212.

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Diwekar, Urmilla, K. P. Madhavan, and R. E. Swaney. "Optimization of multicomponent batch distillation columns." Industrial & Engineering Chemistry Research 28, no. 7 (1989): 1011–17. http://dx.doi.org/10.1021/ie00091a019.

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CHIOTTI, OMAR J., HECTOR E. SALOMONE, and OSCAR A. IRIBARREN. "SELECTION OF MULTICOMPONENT BATCH DISTILLATION SEQUENCES." Chemical Engineering Communications 119, no. 1 (1993): 1–21. http://dx.doi.org/10.1080/00986449308936104.

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Galindez, H., and Aa Fredenslund. "Simulation of multicomponent batch distillation processes." Computers & Chemical Engineering 12, no. 4 (1988): 281–88. http://dx.doi.org/10.1016/0098-1354(88)85039-7.

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Kim, Jeung Kun, and Dong Pyo Ju. "Multicomponent batch distillation with distillate receiver." Korean Journal of Chemical Engineering 20, no. 3 (2003): 522–27. http://dx.doi.org/10.1007/bf02705559.

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Dissertations / Theses on the topic "Multicomponent Batch Distillation System"

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Ceylan, Hatice. "Control And Simulation Studies For A Multicomponent Batch Packed Distillation Column." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608688/index.pdf.

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During the last decades, batch distillation is preferably used with an increasing demand over continuous one, to separate fine chemicals in chemical and petroleum industries, due to its advantages like, flexibility and high product purity. Consequently, packed distillation columns, with newly generated packing materials, are advantageous compared to plate columns because of their smaller holdups, resistivity to corrosive materials and their higher separation efficiencies. Also, in many industrial applications, mathematical models of distillation systems are frequently used in order to design e
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Yildiz, Ugur. "Multicomponent Batch Distillation Column Simulation And State Observer Design." Master's thesis, METU, 2002. http://etd.lib.metu.edu.tr/upload/12605551/index.pdf.

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In the control of batch and continuous distillation columns, one of the most challenging problem is the difficulty in measuring compositions. This problem can be handled by estimating the compositions from readily available online temperature measurements using a state observer. The aim of this study is to design a state observer that estimates the product composition in a multicomponent batch distillation column (MBDC) from the temperature measurements and to test this observer using a batch column simulation. To achieve this, first a model for MBDC is prepared and compared with the data from
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Afvander, Åsa. "Development of a working method for the study of a distillation process : Distillation of a multicomponent system." Thesis, Umeå universitet, Kemiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-109140.

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Edreder, E. A. "Modelling and optimisation of batch distillation involving esterification and hydrolysis reaction systems. Modelling and optimisation of conventional and unconventional batch distillation process: Application to esterification of methanol and ethanol using acetic acid and hydrolysis of methyl lactate system." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4296.

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Batch distillation with chemical reaction when takes place in the same unit is referred to as batch reactive distillation process. The combination reduces the capital and operating costs considerably. Among many different types of batch reactive distillation column configurations, (a) conventional (b) inverted (c) semi-batch columns are considered here. Three reaction schemes such as (a) esterification of methanol (b) esterification of ethanol (c) hydrolysis of methyl lactate are studied here. Four different types of dynamic optimisation problems such as (a) maximum conversion (b) maxim
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Edreder, Elmahboub A. "Modelling and optimisation of batch distillation involving esterification and hydrolysis reaction systems : modelling and optimisation of conventional and unconventional batch distillation process : application to esterification of methanol and ethanol using acetic acid and hydrolysis of methyl lactate system." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4296.

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Batch distillation with chemical reaction when takes place in the same unit is referred to as batch reactive distillation process. The combination reduces the capital and operating costs considerably. Among many different types of batch reactive distillation column configurations, (a) conventional (b) inverted (c) semi-batch columns are considered here. Three reaction schemes such as (a) esterification of methanol (b) esterification of ethanol (c) hydrolysis of methyl lactate are studied here. Four different types of dynamic optimisation problems such as (a) maximum conversion (b) maximum prod
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BHANDARI, SHASHANK. "Design of a solvent recovery system in a pharmaceutical manufacturing plant." Thesis, KTH, Skolan för kemivetenskap (CHE), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190901.

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Solvents play a crucial role in the Active Pharmaceutical Ingredient (API) manufacturing and are used in large quantities. Most of the industries incinerate the waste solvents or send it to waste management companies for destruction to avoid waste handling and cross-contamination. It is not a cost effective method and also hazardous to the environment. This study has been performed at AstraZeneca’s API manufacturing plant at Sodertalje, Sweden. In order to find a solution, a solvent recovery system is modeled and simulated using ASPEN plus and ASPEN batch modeler. The waste streams were select
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Bernot, Christine. "Design and synthesis of multicomponent batch distillation." 1990. https://scholarworks.umass.edu/dissertations/AAI9110105.

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Interest in batch processes has increased with the growing importance of specialty chemicals, characterized by high-value, low-capacity, short-term production and strongly nonideal mixtures. While separation is an important step in these processes, few publications deal with the feasibility and design aspects of batch distillation for azeotropic mixtures. In this dissertation, a simple dynamic model is developed to describe composition changes in batch distillation by decoupling the variations in flows and compositions through a dimensionless warped time. The model is based on constant molar o
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"MULTICOMPONENT BATCH DISTILLATION COLUMN SIMULATION AND STATE OBSERVER DESIGN." Master's thesis, METU, 2002. http://etd.lib.metu.edu.tr/upload/12605551/index.pdf.

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Yau, Chun-yang, and 姚君揚. "Operation and Control of Batch Extractive Distillation SystemOperation and Control of Batch Extractive Distillation SystemOperation and Control of Batch Extractive Distillation System." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/87946904107531864666.

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碩士<br>國立臺灣科技大學<br>化學工程系<br>93<br>In order to separate mixtures containing azeotrope, usually an entrainer is added into the system. There are two ways to add entrainer, including batch extractive distillation (BED) and solvent enhance distillation (SED). According to the boiling points of the mixture and the entrainer, we can distinguish azeotropes and entrainer into six types, but only 4 types are worthy of study. This research completely analyse and simulate operation steps of these four different systems. An important operation step is developed to save entrainer and operation time. This re
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Huang, Cheng Yuan, and 黃正淵. "Operation and control of batch distillation system." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/43163995424164635492.

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碩士<br>國立臺灣科技大學<br>化學工程系<br>92<br>The batch distillation can be categorized into four types, as shown in the following: regular column, inverted column, middle vessel column and multivessel column, each has its characteristic and advantage. This research compares different operation and control methods via batch distillation simulation. We will discuss how process dynamic response would be influenced if feed composition changes. These includes fixing reflux ratio strategy, fixing composition strategy and total reflux operation strategy within batch distillation columns that are used for the sep
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Book chapters on the topic "Multicomponent Batch Distillation System"

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Floudas, Christodoulos A. "Mixed-Integer Linear Optimization." In Nonlinear and Mixed-Integer Optimization. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195100563.003.0010.

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This chapter provides an introduction to the basic notions in Mixed-Integer Linear Optimization. Sections 5.1 and 5.2 present the motivation, formulation, and outline of methods. Section 5.3 discusses the key ideas in a branch and bound framework for mixed-integer linear programming problems. A large number of optimization models have continuous and integer variables which appear linearly, and hence separably, in the objective function and constraints. These mathematical models are denoted as Mixed-Integer Linear Programming MILP problems. In many applications of MILP models the integer variables are 0 — 1 variables (i.e., binary variables), and in this chapter we will focus on this sub-class of MILP problems. A wide range of applications can be modeled as mixed-integer linear programming MILP problems. These applications have attracted a lot of attention in the field of Operations Research and include facility location and allocation problems, scheduling problems, and fixed-charge network problems. The excellent books of Nemhauser and Wolsey (1988), and Parker and Rardin (1988) provide not only an exposition to such applications but also very thorough presentation of the theory of discrete optimization. Applications of MILP models in Chemical Engineering have also received significant attention particularly in the areas of Process Synthesis, Design, and Control. These applications include (i) the minimum number of matches in heat exchanger synthesis (Papoulias and Grossmann, 1983; see also chapter 8) (ii) heat integration of sharp distillation sequences (Andrecovich and Westerberg, 1985); (iii) multicomponent multiproduct distillation column synthesis (Floudas and Anastasiadis, 1988); (iv) multiperiod heat exchanger network, and distillation system synthesis (Floudas and Grossmann, 1986; Paules and Floudas, 1988); flexibility analysis of chemical processes (Grossmann and Floudas, 1987); (v) structural properties of control systems (Georgiou and Floudas, 1989, 1990); (vi) scheduling of batch processes (e.g., Rich and Prokapakis, 1986, 1986; Kondili et al., 1993; Shah et al, 1993; Voudouris and Grossmann, 1992, 1993); and (vii) planning and scheduling of batch processes (Shah and Pantelides, 1991, Sahinidis et al, 1989, Sahinidis and Grossmann, 1991). In addition to the above applications, MILP models are employed as subproblems in the mixed-integer nonlinear optimization approaches which we will discuss in the next chapter. In this section, we will present the formulation of Mixed-Integer Linear Programming MILP problems, discuss the complexity issues, and provide a brief overview of the solution methodologies proposed for MILP models.
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Narváez-García, A., J. C. Zavala-Loría, A. Ruiz-Marín, and Y. Canedo-López. "Short-Cut Methods for Multicomponent Batch Distillation." In Distillation - Innovative Applications and Modeling. InTech, 2017. http://dx.doi.org/10.5772/66830.

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Basualdo, Marta S., Carlos A. Ruiz, and Nicolás J. Scenna. "SIMULATION OF MULTICOMPONENT BATCH DISTILLATION WITH CHEMICAL REACTIONS PROCESSES." In Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (Dycord'95). Elsevier, 1995. http://dx.doi.org/10.1016/b978-0-08-042368-5.50036-8.

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Zumoffen, D., L. Garyulo, M. Basualdo, and L. Jiménez. "Predictive functional control applied to multicomponent batch distillation column." In Computer Aided Chemical Engineering. Elsevier, 2005. http://dx.doi.org/10.1016/s1570-7946(05)80086-0.

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Sébastien, Pommier, Massebeuf Silvère, Gerbaud Vincent, Baudouin Olivier, Baudet Philippe, and Joulia Xavier. "Heterogeneous batch distillation processes: Real system optimisation." In Computer Aided Chemical Engineering. Elsevier, 2005. http://dx.doi.org/10.1016/s1570-7946(05)80022-7.

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Denes, Ferenc, Peter Lang, and Xavier Joulia. "New generalised double-column system for batch heteroazeotropic distillation." In Computer Aided Chemical Engineering. Elsevier, 2011. http://dx.doi.org/10.1016/b978-0-444-53711-9.50074-2.

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MUJTABA, I. M., and S. MACCHIETTO. "OPTIMAL OPERATION OF MULTICOMPONENT BATCH DISTILLATION - A COMPARATIVE STUDY USING CONVENTIONAL AND UNCONVENTIONAL COLUMNS." In Advanced Control of Chemical Processes 1994. Elsevier, 1994. http://dx.doi.org/10.1016/b978-0-08-042229-9.50067-7.

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HASEBE, Shinji, Taketoshi KUROOKA, and Iori HASHIMOTO. "COMPARISON OF THE SEPARATION PERFORMANCES OF A MULTI-EFFECT BATCH DISTILLATION SYSTEM AND A CONTINUOUS DISTILLATION SYSTEM." In Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (Dycord'95). Elsevier, 1995. http://dx.doi.org/10.1016/b978-0-08-042368-5.50043-5.

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Rao, Ming, and J. Corbin. "INTELLIGENT OPERATION SUPPORT SYSTEM FOR A BATCH SULPHITE PULPING DIGESTER." In Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes. Elsevier, 1993. http://dx.doi.org/10.1016/b978-0-08-041711-0.50052-0.

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Averbukh, E. A., and A. V. Brodsky. "ELECTROVACUUM GLASS QUALITY CONTROL SYSTEM TRANSFERRING." In Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes. Elsevier, 1993. http://dx.doi.org/10.1016/b978-0-08-041711-0.50060-x.

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Conference papers on the topic "Multicomponent Batch Distillation System"

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King, Michael S. A., and Ian G. Foulds. "Sensing System for Direct Monitoring of Small Batch Alcohol Distillation." In 2019 IEEE SENSORS. IEEE, 2019. http://dx.doi.org/10.1109/sensors43011.2019.8956511.

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Mardyaningsih, Wedar Panji, Pranoto Hidaya Rusmin, and Budi Rahardjo. "Anomaly Detection and Data Recovery on Mini Batch Distillation Column based Cyber Physical System." In 2019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI). IEEE, 2019. http://dx.doi.org/10.23919/eecsi48112.2019.8977070.

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Susanti, Novita Dwi, Arief Syaichu Rohman, Pranoto Hidaya Rusmin, and Eko Joni Pristianto. "Design of Ethanol Concentration Measurement System Using Specific Gravity Approach for Batch Distillation Column Automation." In 2019 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET). IEEE, 2019. http://dx.doi.org/10.1109/icramet47453.2019.8980445.

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Murkute, Chandrashekhar, and S. D. Agashe. "Development of Comprehensive Decision Support System for the Binary Batch Distillation Column Pilot Plant using PHYTHON." In 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2019. http://dx.doi.org/10.1109/icoei.2019.8862545.

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Budiawan, Irvan, Hidayah R. Pranoto, Egi M. I. Hidayat, and Syaichu R. Arief. "Design and Implementation of Cyber-Physical System-Based Automation on Plant Chemical Process: Study Case Mini Batch Distillation Column." In 2018 6th International Conference on Information and Communication Technology (ICoICT). IEEE, 2018. http://dx.doi.org/10.1109/icoict.2018.8528798.

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Arau´jo, Ofe´lia Q. F., Jose´ L. de Medeiros, and Hellen P. M. Carvalho. "A Maxwell-Stefan Approach for Predicting Mixing Effects in Contiguous Batches of Multi-Product Pipelines." In 2002 4th International Pipeline Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/ipc2002-27179.

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Transient phenomena in the liquid batch interfacial zone are addressed based on: (i) a reliable compositional description; and (ii) mass transfer modeling. In phase (i), compositional models are proposed for transported fluids, with parameters estimated by maximum likelihood procedures to match known characterizing data, like distillation curve, density, viscosity and heteroatom weight fractions. In phase (ii), the transient mixing problem is posed on the continua of axial position in the duct, and described by Maxwell-Stefan formalism for multicomponent mass transfer between two contiguous se
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Mathew, Anil, Mitch Crook, Keith Chaney, and Andrea Humphries. "Bioethanol Production From Canola Straw Using a Continuous Flow Immobilized Cell System." In ASME 2012 6th International Conference on Energy Sustainability collocated with the ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/es2012-91061.

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Global cultivation of canola increased by approximately 22% between 2000 and 2009, due to increased demand for canola oil for biodiesel production and as an edible oil. In 2009 over 290,000 km2 of canola was cultivated globally. In contrast to oilseed, the commercial market for canola straw is minimal and it is generally ploughed back into the field. The high carbohydrate content (greater than 50 % by dry weight) of canola straw suggests it would be a good feedstock for second-generation bioethanol production. There are four major steps involved in bioethanol production from lignocellulosic ma
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