The FluxMax approach: Simultaneous flux optimization and heat integration by discretization of thermodynamic state space illustrated on methanol synthesis process

Schack, Dominik; Liesche, Georg; Sundmacher, Kai

doi:10.1016/j.ces.2019.115382

Cited by 11 publications

(9 citation statements)

References 51 publications

(62 reference statements)

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“…B. der Flüssigphasenkatalyse, der Kristallisation, der chemischen Energiewandlung und der Algenbiotechnologie, erfolgreich eingesetzt. Aktuelle methodische EPF‐Weiterentwicklungen betreffen die Berücksichtigung von Unsicherheiten der Modellparameter, die Verwendung von datengetriebenen Modellierungsansätzen, die multikriterielle Optimierung sowie die Reformulierung der Entwurfsaufgabe als Flussoptimierungsproblem ( FluxMax‐ Ansatz) 12.…”

Section: Systemverfahrenstechnikunclassified

Forschungsarbeiten am Institut für Verfahrenstechnik der Otto‐von‐Guericke‐Universität Magdeburg

Reichl

Seidel‐Morgenstern

Sundmacher

et al. 2021

Chemie Ingenieur Technik

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Seit der Gründung der Otto‐von‐Guericke‐Universität Magdeburg (OVGU) wurde der Forschungsbereich Verfahrenstechnik dort stetig ausgebaut. Heute umfasst die Fakultät für Verfahrens‐ und Systemtechnik der OVGU die vier Institute Verfahrenstechnik, Chemie, Strömungstechnik und Thermodynamik sowie Apparate‐ und Umwelttechnik. In diesem Beitrag stellen die fünf Lehrstühle des Instituts für Verfahrenstechnik (Bioprozesstechnik, Chemische Verfahrenstechnik, Systemverfahrenstechnik, Thermische Verfahrenstechnik und Mechanische Verfahrenstechnik) ihre Forschungsaktivitäten anhand ausgewählter Projekte vor.

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Section: Systemverfahrenstechnikunclassified

Forschungsarbeiten am Institut für Verfahrenstechnik der Otto‐von‐Guericke‐Universität Magdeburg

Reichl

Seidel‐Morgenstern

Sundmacher

et al. 2021

Chemie Ingenieur Technik

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“…However, the heat integration section is extended to enable not only the representation of classical column designs but also exploiting additional degrees of freedom due to the consideration of additional heat transfer options. A more comprehensive description of the FluxMax approach can be found in Schack et al (2020) and Liesche et al (2019).…”

Section: Fluxmax Approach For Distillation Processesmentioning

confidence: 99%

“…In addition, K H m and K C m denote the m-th row of the set of all possible permutations K H and K C , respectively. These sets contain all possible combinations of interacting hot and cold streams for which heat transfer constraints must be formulated as derived in Schack et al (2020).…”

Section: Heat Integration Modelmentioning

confidence: 99%

“…In contrast, Holiastos and Manousiouthakis (2004) used an infinite dimensional linear programming approach to identify globally optimal distillation network designs. The recently introduced FluxMax approach (Liesche et al, 2019;Schack et al, 2020) enables the optimization of chemical processes across different length scales while avoiding binary decision variables. The main features of FluxMax are simultaneous process design and heat integration as well as effective decoupling of process-based nonlinearities by discretization of the thermodynamic state space.…”

Section: Introductionmentioning

confidence: 99%

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Energy-Efficient Distillation Processes by Additional Heat Transfer Derived From the FluxMax Approach

et al. 2020

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Distillation processes are an essential component of any chemical plant for the separation and purification of condensable mixtures. However, distillation columns account for the largest contribution to the total energy consumption of chemical processes due to their high heat demands. Consequently, there is a strong need for energy efficient column designs to reduce drastically the carbon dioxide emissions and thus to reach the settled climate goals of the chemical industry. In this paper, the FluxMax approach is used to identify energy optimal column designs. The representation of the distillation process by the elementary processes mixing, heating/cooling and phase separation leads to increased degrees of freedom of optimization compared to classical column modeling approaches. In this way, a non-conventional design with minimal energy consumption is identified. The energy-optimized configuration is a column with improved heat transfer between vapor and liquid streams. MESH equations are used for the validation of the FluxMax design, as they are state-of-the-art in process modeling tools. While the new design reduces the energy demand by up to 64% compared to the classical design, additional heat exchange area is required to exploit the energy reduction potential. A multi-objective optimization-energy duty vs. heat exchanger area-is carried out to identify the optimal trade-off between energy demand and heat exchanger area related capital cost. The highly energy-efficient designs identified by the FluxMax approach may be realized in practice by horizontal columns or modularized container solutions.

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“…In this context, process pathways were identified via linear programming and with respect to the cost of resources. More recently, Liesche et al (2019) and Schack et al (2020) proposed an optimization technique based on the linearization of the states for process and unit optimization (FluxMax). The benefits of implementing Data adapted from Wenzel et al (2017).…”

Section: Introductionmentioning

confidence: 99%

Mixed-Integer Linear Programming (MILP) Approach for the Synthesis of Efficient Power-to-Syngas Processes

2020

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Within the context of energy transition scenarios toward renewable resources, superstructure optimization is implemented for the synthesis of sustainable and efficient Power-to-Syngas processes. A large number of reactors (reverse water-gas-shift, steam reforming, dry reforming, tri-reforming, methane partial oxidation reactor, and water electrolyzer) and separators (PSA, TSA, cryogenics, membranes, and gas-liquid scrubbing) are included within a single MILP framework, accounting for typical operating conditions of each process-unit, under the specified simplifying assumptions. Power is minimized in the context of sustainable feedstocks: water and biogas or carbon dioxide from direct air-capture. The objective function adds the thermal to the electrical contribution to the total power, the latter being weighted by a pseudo-price of null (i.e., sustainable, in-house electricity production), or unitary value (i.e., electricity purchased, possibly generated from non-sustainable sources). Simultaneous operations of multiple reactor technologies are allowed to identify possible synergies. With biogas and null value of the pseudo-price, the results identify plant configurations mainly run via electricity, which constitutes up to 97% of the total power for cooperating partial oxidation of methane and water electrolysis. Alternatively, lower total demands are attained at the expenses of thermal duty when electricity is penalized: the endothermic reactors are operated. With carbon dioxide, the total power demand dramatically increases due to the large consumptions of direct-air capture and water electrolysis. The resulting topologies always favor membrane separation, adsorption, and cryogenics over absorption technologies.

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The FluxMax approach: Simultaneous flux optimization and heat integration by discretization of thermodynamic state space illustrated on methanol synthesis process

Cited by 11 publications

References 51 publications

Forschungsarbeiten am Institut für Verfahrenstechnik der Otto‐von‐Guericke‐Universität Magdeburg

Forschungsarbeiten am Institut für Verfahrenstechnik der Otto‐von‐Guericke‐Universität Magdeburg

Energy-Efficient Distillation Processes by Additional Heat Transfer Derived From the FluxMax Approach

Mixed-Integer Linear Programming (MILP) Approach for the Synthesis of Efficient Power-to-Syngas Processes

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