Process synthesis, design and analysis using a process-group contribution method

Tula, Anjan K.; Eden, Mario R.; Gani, Rafiqul

doi:10.1016/j.compchemeng.2015.04.019

Cited by 68 publications

(39 citation statements)

References 27 publications

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“…Several methods for selecting extraction solvents have been well described in the literature, such as the tradition experimental method, computer-aided molecular design (CAMD) [11–15], and the combination of solvent screening and process design [16]. Carrying out multiple experiments to find a suitable solvent provides relatively accurate and reliable results, but there are clear limitations in terms of the time, cost, and a number of solvents tested.…”

Section: Introductionmentioning

confidence: 99%

“…In particular, a general CAMD can be formulated as a mixed-integer nonlinear programming (MINLP), in which several studies proposed the solution successfully [17, 18]. Tula et al employed a CAMD approach to process design [11]. Note that if a solvent is selected without designing the entire process, including extraction and solvent regeneration units, it is not possible to evaluate the economic feasibility of the process.…”

Section: Introductionmentioning

confidence: 99%

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Techno-economic assessment of hybrid extraction and distillation processes for furfural production from lignocellulosic biomass

Nhien

Long

Kim

et al. 2017

Biotechnol Biofuels

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BackgroundLignocellulosic biomass is one of the most promising alternatives for replacing mineral resources to overcome global warming, which has become the most important environmental issue in recent years. Furfural was listed by the National Renewable Energy Laboratory as one of the top 30 potential chemicals arising from biomass. However, the current production of furfural is energy intensive and uses inefficient technology. Thus, a hybrid purification process that combines extraction and distillation to produce furfural from lignocellulosic biomass was considered and investigated in detail to improve the process efficiency. This effective hybrid process depends on the extracting solvent, which was selected based on a comprehensive procedure that ranged from solvent screening to complete process design.ResultsVarious solvents were first evaluated in terms of their extraction ability. Then, the most promising solvents were selected to study the separation feasibility. Eventually, processes that used the three best solvents (toluene, benzene, and butyl chloride) were designed and optimized in detail using Aspen Plus. Sustainability analysis was performed to evaluate these processes in terms of their energy requirements, total annual costs (TAC), and carbon dioxide (CO2) emissions. The results showed that butyl chloride was the most suitable solvent for the hybrid furfural process because it could save 44.7% of the TAC while reducing the CO2 emissions by 45.5% compared to the toluene process. In comparison with the traditional purification process using distillation, this suggested hybrid extraction/distillation process can save up to 19.2% of the TAC and reduce 58.3% total annual CO2 emissions. Furthermore, a sensitivity analysis of the feed composition and its effect on the performance of the proposed hybrid system was conducted.ConclusionsButyl chloride was found to be the most suitable solvent for the hybrid extraction/distillation process of furfural production. The proposed hybrid sequence was more favorable than the traditional distillation process when the methanol fraction of the feed stream was <3% and more benefit could be obtained when that fraction decreased.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Techno-economic assessment of hybrid extraction and distillation processes for furfural production from lignocellulosic biomass

Nhien

Long

Kim

et al. 2017

Biotechnol Biofuels

View full text Add to dashboard Cite

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“…Because of the drawbacks of heuristic-based approaches mentioned in the introduction and the limitation of mathematical programming to moderate-size MINLP problems (due to integer variables and nonlinear equations), Tula et al (2015) proposed a hybrid approach. Indeed, physical insights from knowledge-based methods are used to narrow the search space of alternatives; then, smaller size mathematical problems are solved.…”

Section: Bibliometric Analysismentioning

confidence: 99%

From conceptual design to process design optimization: a review on flowsheet synthesis

Montastruc

Belletante

Pagot

et al. 2019

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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This paper presents the authors’ perspectives on some of the open questions and opportunities in Process Systems Engineering (PSE) focusing on process synthesis. A general overview of process synthesis is given, and the difference between Conceptual Design (CD) and Process Design (PD) is presented using an original ternary diagram. Then, a bibliometric analysis is performed to place major research team activities in the latter. An analysis of ongoing work is conducted and some perspectives are provided based on the analysis. This analysis includes symbolic knowledge representation concepts and inference techniques, i.e., ontology, that is believed to become useful in the future. Future research challenges that process synthesis will have to face, such as biomass transformation, shale production, response to spaceflight demand, modular plant design, and intermittent production of energy, are also discussed.

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“…Hence the appropriate selection of superstructure representation method is critical. There are many representations such as state-task-network [20,21], state-equipment-network [21], P-graph [22,23], state-space [24,25] , HEN and MEN building blocks [26,27], phenomena building blocks [28][29][30], process-group contribution method [31], and unit-port-conditioning-stream (UPCS) approach [32,33]. We recently proposed a new superstructure representation method using building blocks for systematic process intensification [34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Fuel Gas Network Synthesis Using Block Superstructure

Demirel

Hasan

2018

Processes

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Fuel gas network (FGN) synthesis is a systematic method for reducing fresh fuel consumption in a chemical plant. In this work, we address FGN synthesis problems using a block superstructure representation that was originally proposed for process design and intensification. The blocks interact with each other through direct flows that connect a block with its adjacent blocks and through jump flows that connect a block with all nonadjacent blocks. The blocks with external feed streams are viewed as fuel sources and the blocks with product streams are regarded as fuel sinks. An additional layer of blocks are added as pools when there exists intermediate operations among source and sink blocks. These blocks can be arranged in a I×J two-dimensional grid with I = 1 for problems without pools, or I = 2 for problems with pools. J is determined by the maximum number of pools/sinks. With this representation, we formulate FGN synthesis problem as a mixed-integer nonlinear (MINLP) formulation to optimally design a fuel gas network with minimal total annual cost. We revisit a literature case study on LNG plants to demonstrate the capability of the proposed approach.

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Process synthesis, design and analysis using a process-group contribution method

Cited by 68 publications

References 27 publications

Techno-economic assessment of hybrid extraction and distillation processes for furfural production from lignocellulosic biomass

Techno-economic assessment of hybrid extraction and distillation processes for furfural production from lignocellulosic biomass

From conceptual design to process design optimization: a review on flowsheet synthesis

Fuel Gas Network Synthesis Using Block Superstructure

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