The FluxMax approach for simultaneous process synthesis and heat integration: Production of hydrogen cyanide

Liesche, Georg; Schack, Dominik; Sundmacher, Kai

doi:10.1002/aic.16554

Cited by 18 publications

(12 citation statements)

References 53 publications

(45 reference statements)

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“…Mass and energy balances are also enforced between interconnected plants in order to guarantee consistency of flows at system level. Such approaches, which usually rely on LP or MILP models, have for instance been applied to the design of integrated biorefineries (Kokossis et al, 2015), the design of power-to-syngas processes (Maggi et al, 2020) and power-tochemicals networks (Schack et al, 2016;Liesche et al, 2019). Such an approach is adopted in this paper, as discussed next.…”

Section: Literature Reviewmentioning

confidence: 99%

Remote Renewable Hubs for Carbon-Neutral Synthetic Fuel Production

Berger

Radu

Detienne³

et al. 2021

Front. Energy Res.

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This paper studies the economics of carbon-neutral synthetic fuel production from renewable electricity in remote areas where high-quality renewable resources are abundant. To this end, a graph-based optimisation modelling framework directly applicable to the strategic planning of remote renewable energy supply chains is proposed. More precisely, a hypergraph abstraction of planning problems is introduced, wherein nodes can be viewed as optimisation subproblems with their own parameters, variables, constraints and local objective. Nodes typically represent a subsystem such as a technology, a plant or a process. Hyperedges, on the other hand, express the connectivity between subsystems. The framework is leveraged to study the economics of carbon-neutral synthetic methane production from solar and wind energy in North Africa and its delivery to Northwestern European markets. The full supply chain is modelled in an integrated fashion, which makes it possible to accurately capture the interaction between various technologies on an hourly time scale. Results suggest that the cost of synthetic methane production and delivery would be slightly under 150 €/MWh (higher heating value) by 2030 for a system supplying 10 TWh annually and relying on a combination of solar photovoltaic and wind power plants, assuming a uniform weighted average cost of capital of 7%. A comprehensive sensitivity analysis is also carried out in order to assess the impact of various techno-economic parameters and assumptions on synthetic methane cost, including the availability of wind power plants, the investment costs of electrolysis, methanation and direct air capture plants, their operational flexibility, the energy consumption of direct air capture plants, and financing costs. The most expensive configuration (around 200 €/MWh) relies on solar photovoltaic power plants alone, while the cheapest configuration (around 88 €/MWh) makes use of a combination of solar PV and wind power plants and is obtained when financing costs are set to zero.

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Section: Literature Reviewmentioning

confidence: 99%

Remote Renewable Hubs for Carbon-Neutral Synthetic Fuel Production

Berger

Radu

Detienne³

et al. 2021

Front. Energy Res.

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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%

“…The FluxMax formulation results in a linear feasible region due to the discretization of the thermodynamic state space (Liesche et al, 2019;Schack et al, 2020). If the objective function is also linear in terms of the fluxes (decision variables), the problem can be solved as a purely linear optimization problem (LP).…”

Section: Fluxmax Formulationmentioning

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 for simultaneous process synthesis and heat integration: Production of hydrogen cyanide

Cited by 18 publications

References 53 publications

Remote Renewable Hubs for Carbon-Neutral Synthetic Fuel Production

Remote Renewable Hubs for Carbon-Neutral Synthetic Fuel Production

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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