Optimal design of azeotropic batch distillation

Mussati, Miguel C.; Aguirre, Pío A.; Espinosa, José; Iribarren, Oscar Alberto

doi:10.1002/aic.10696

Cited by 13 publications

(8 citation statements)

References 21 publications

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“…Some critical model parameters related to cost functions, influent wastewater specifications (concentration and flow rate), and effluent permitted limits are selected for this analysis. The sensitivity analysis is based on a local sensitivity method . It computes local gradients of the objective function Φ with respect to infinitesimal variations of a parameter p i .…”

Section: Resultsmentioning

confidence: 99%

Wastewater Treatment Plant Synthesis and Design: Combined Biological Nitrogen and Phosphorus Removal

Alasino

Mussati

Scenna

et al. 2010

Ind. Eng. Chem. Res.

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In the present work, a previous superstructure model developed for simultaneous optimization of the process configuration and equipment dimensions, i.e., optimal process synthesis and design and the operation conditions of activated sludge wastewater treatment plants, is extended to account for phosphorus as well as nitrogen removal. Along the activated sludge treatment process, the wastewater stream is exposed to different environmental conditions (anaerobic, anoxic, and aerated zones) in order to facilitate the different microbiological processes such as the release and uptake of phosphorus and the nitrification/denitrification processes. The Activated Sludge Model No. 3 extended with the Bio-P module for computing biological phosphorus removal is used to model the reaction compartments and the Taka `cs model for representing the secondary settler. The performance criterion selected is the minimization of the net present value that includes investment and operating costs while verifying compliance with the effluent permitted limits. The problem is posed as a NLP problem, specifically a nonlinear programming problem with discontinuous derivatives DNLP. The optimization model is implemented and solved using a General Algebraic Modeling System, GAMS. Optimal configurations and designs obtained for several case studies are reported and discussed. The model itself and the resolution methodology prove to be robust and flexible enough to solve efficiently scenarios with a wide range of operation conditions, embedding conventional and nonconventional process configurations.

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Section: Resultsmentioning

confidence: 99%

Wastewater Treatment Plant Synthesis and Design: Combined Biological Nitrogen and Phosphorus Removal

Alasino

Mussati

Scenna

et al. 2010

Ind. Eng. Chem. Res.

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“…To separate pure ethanol from ethanol-water mixtures by distillation, it is necessary to use an entrainer (azeotroping agent) because the azeotropic mixture is one that vaporizes without any change in composition in azeotropic points. 2,3 Benzene, cyclohexane, or isopropyl alcohol can be used as entrainers for the ethanol-water mixture. Therefore, at least two separation units are required to produce pure ethanol, leading to increased energy consumption.…”

Section: Introductionmentioning

confidence: 99%

“…However, conventional distillation is energy-consuming because ethanol and water form an azeotropic mixture, and it is believed that about half of the heat value of bioethanol is required to distill the ethanol from the mixture. To separate pure ethanol from ethanol−water mixtures by distillation, it is necessary to use an entrainer (azeotroping agent) because the azeotropic mixture is one that vaporizes without any change in composition in azeotropic points. , Benzene, cyclohexane, or isopropyl alcohol can be used as entrainers for the ethanol−water mixture. Therefore, at least two separation units are required to produce pure ethanol, leading to increased energy consumption.…”

Section: Introductionmentioning

confidence: 99%

New Design Methodology Based on Self-Heat Recuperation for Production by Azeotropic Distillation

Kansha¹,

Tsuru²,

Fushimi³

et al. 2010

Energy Fuels

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In this paper, an innovative design methodology is proposed for production by azeotropic distillation using self-heat recuperation technology to reduce energy consumption. Based on this design methodology, the heat of the distillate and condenser in each distillation column is recovered by compressors and exchanged with the heat of the corresponding feed and reboiler. Hence, a larger amount of heat, which consists of the sensible heat and latent heat of the process streams, is circulated within the process than that in a conventional azeotropic distillation process by the heat exchanger, leading to a significant reduction in the process energy required. Process simulation results for bioethanol production show that the azeotropic distillation process resulting from the proposed design methodology achieves a large reduction in energy compared to a conventional azeotropic distillation process.

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“…The optimization approach is usually written in the form of a mixed-integer nonlinear programming problem, with its main drawback being that unit operations are modeled via shortcut models. 1 In this area of research, Karuppiah et al 2 addressed the problem of optimizing corn-based bioethanol plants through the use of mathematical programming and heat-integration techniques. They first solved two nonlinear programming subproblems involving shortcut models for mass and energy balances for all the units in the process.…”

Section: Introductionmentioning

confidence: 99%

“…While process simulation allows comparing different separation alternatives in terms of energy demand, an optimization-based approach enables the identification of the best configuration for a given superstructure, taking into account both investment and operating costs. The optimization approach is usually written in the form of a mixed-integer nonlinear programming problem, with its main drawback being that unit operations are modeled via shortcut models …”

Section: Introductionmentioning

confidence: 99%

Conceptual Design and Simulation Tools Applied to the Evolutionary Optimization of a Bioethanol Purification Plant

Hoch

Espinosa

2008

Ind. Eng. Chem. Res.

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We present an evolutionary optimization procedure applied to the design and simulation of the unit operations in a bioethanol purification plant. Conceptual and rigorous models are used; the first are utilized to determine initial values for design and operating variables, and then rigorous simulation is used to refine the results. The use of rigorous models allows for the elimination of simplifying assumptions, the interconnection of equipment, and the calculation of the operating and investment costs. Once an initial design of the purification plant is obtained, opportunities of improvement are easily recognized and then tested by performing the design and simulation steps until a cost-effective bioethanol purification plant is achieved. The methodology is applied to the purification process for a feed leaving the fermentation step of a conventional corn dry-grind processing facility producing 24 million L/year of ethanol and 19 million kg/year of distiller's dry grains with solubles (DDGS). The feed to the purification plant (22 170 kg/h) is mainly composed by ethanol (10.80% w/w) and water (88.98% w/w) with traces of methanol (0.0226% w/w) and fusel (0.2009% w/w). Following the proposed approach, two initial designs of the whole purification plant using different technologies to break the azeotrope between ethanol and water are compared in terms of operating and investment costs. Savings in overall costs of about 32% are achieved by the alternative distillation/pervaporation in comparison with the option distillation/ extractive distillation. Then, the membrane-based technology is adopted as the core of the purification process and a search for further improvements is performed. Four alternative designs were evaluated. In each case, the steam consumption of the evaporation sector is reduced by 1 300 kg/h by condensing the ethanol-rich side stream from the main rectification column in the first effect of the train. Finally, the option characterized by an ethanol composition in the ethanol-rich side stream of 91.24% w/w is selected as the quasi-optimal design because overall costs are reduced by 6.67% with respect to the base case and by 11.48% with respect to the worst case analyzed.

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Optimal design of azeotropic batch distillation

Cited by 13 publications

References 21 publications

Wastewater Treatment Plant Synthesis and Design: Combined Biological Nitrogen and Phosphorus Removal

Wastewater Treatment Plant Synthesis and Design: Combined Biological Nitrogen and Phosphorus Removal

New Design Methodology Based on Self-Heat Recuperation for Production by Azeotropic Distillation

Conceptual Design and Simulation Tools Applied to the Evolutionary Optimization of a Bioethanol Purification Plant

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