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arxiv: 2601.15090 · v3 · submitted 2026-01-21 · 🧮 math.OC

From carbon management strategies to implementation: Modeling and physical simulation of CO2 pipeline infrastructure -- a case study for Germany

Mehrnaz Anvari , Marius Neuwirth , Okan Akca , Luna L\"utz , Simon Lukas Bussmann , Tobias Fleiter , Bernhard Klaassen This is my paper

Pith reviewed 2026-05-16 12:19 UTC · model grok-4.3

classification 🧮 math.OC
keywords CO2 pipeline infrastructurecarbon capture and storagenetwork modelingphysical simulationGermany energy transitiondense phase transportinfrastructure planning
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The pith

Germany can build a 7000 km CO2 pipeline network for 17 billion euros to connect industrial sites by 2045.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper develops an integrated approach that combines energy system scenarios with physical pipeline simulations to design a CO2 transport network for Germany. It shows that following existing gas corridors with specific diameters allows stable transport of captured carbon from sources like cement plants to storage or utilization hubs. This matters because it gives policymakers a concrete, costed plan to implement carbon management strategies under uncertainty about future emissions.

Core claim

Using spatially resolved CO2 balances from energy scenarios for 2045, the authors design a pipeline topology that follows existing gas corridors and apply the MYNTS simulator to confirm technical feasibility for dense-phase transport accounting for elevation and impurities, resulting in a 7000 km system with DN700 main lines and DN500/DN400 branches costing approximately 17 billion euros.

What carries the argument

The integrated method that derives CO2 source and sink locations from scenarios and optimizes the pipeline network topology using physical simulation with MYNTS to determine diameters, pump locations, and operating conditions.

If this is right

  • Most cement, lime production, waste incineration sites, carbon users, coastal hubs, and border points can be connected by the network.
  • Investment costs total about 17 billion euros for the optimized system.
  • The design ensures stable dense-phase CO2 transport under various conditions.
  • The method is reproducible and can be applied to other countries or European scale.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • This suggests that retrofitting existing gas infrastructure corridors could reduce planning and construction barriers for CO2 networks.
  • Future work could test the model against real pilot projects or varying energy scenarios to refine cost estimates.
  • Such planning tools might help prioritize which industrial clusters to decarbonize first based on connection costs.

Load-bearing premise

The CO2 production and demand locations from the energy system scenarios will match reality in 2045, and the MYNTS simulator accurately models all physical effects like elevation changes and impurities in the CO2 stream.

What would settle it

Observing that the actual required pipeline length or investment exceeds 7000 km and 17 billion euros substantially, or that physical tests show the proposed diameters and pumps cannot maintain dense-phase flow under real elevation and impurity conditions.

Figures

Figures reproduced from arXiv: 2601.15090 by Bernhard Klaassen, Luna L\"utz, Marius Neuwirth, Mehrnaz Anvari, Okan Akca, Simon Lukas Bussmann, Tobias Fleiter.

Figure 1
Figure 1. Figure 1: Development of cement clinker production in the scenario [PITH_FULL_IMAGE:figures/full_fig_p007_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: CO2 balance and temporal development of both scenarios 8 [PITH_FULL_IMAGE:figures/full_fig_p009_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: CO2 Topology 10 [PITH_FULL_IMAGE:figures/full_fig_p011_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Network topology showing (a) pipeline diameters and (b) pump place [PITH_FULL_IMAGE:figures/full_fig_p018_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Fluid dynamic simulation results of (a) pressure and (b) temperature [PITH_FULL_IMAGE:figures/full_fig_p019_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Phase diagram of CO2 showing the pressure–temperature distribution of all network nodes. The pink line marks the boundary between the gaseous and dense phases. Each data point represents a node in the network [PITH_FULL_IMAGE:figures/full_fig_p020_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Effect of elevation differences on CO2 pressure, showing (a) network node elevations and (b) pressure distribution along the highlighted section in￾fluenced by the hydrostatic pressure effect. The arrow in (b) marks the pipeline segment between the higher-elevation upstream region and the lower-elevation downstream region, where this pressure behavior occurs. The [PITH_FULL_IMAGE:figures/full_fig_p022_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Comparison of pressure and temperature distribution along the se [PITH_FULL_IMAGE:figures/full_fig_p023_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Pressure results of CO2 network simulations with different impurity levels. The three cases correspond to 100% CO2 (left), 98% CO2, 1% H2, 1% O2 (middle), and 96% CO2, 2% H2, 2% O2 (right). 23 [PITH_FULL_IMAGE:figures/full_fig_p024_9.png] view at source ↗
read the original abstract

Carbon capture and storage or utilization (CCUS) will play an important role to achieve climate neutrality in many economies. Pipelines are widely regarded as the most efficient means of CO2 transport; however, they are currently non-existent. Policy-makers and companies need to develop large-scale infrastructure under substantial uncertainty. Methods and analyses are needed to support pipeline planning and strategy development. This paper presents an integrated method for designing CO2 pipeline networks by combining energy system scenarios with physical network simulation. Using Germany as a case study in a projection to the year 2045, we derive spatially highly resolved CO2 balances to develop a dense-phase CO2 pipeline topology that follows existing gas pipeline corridors. The analyzed system includes existing sites for cement and lime production, waste incineration, carbon users, four coastal CO2 hubs, and border crossing points. We then apply the multiphysical network simulator MYNTS to assess the technical feasibility of this network. We determine pipeline diameters, pump locations, and operating conditions that ensure stable dense-phase transport. The method explicitly accounts for elevation and possible impurities.The results indicate that a system of about 7000 km pipeline length and a mixed normed diameter of DN700 on main corridors and of DN500/DN400 on branches presents a feasible solution to connect most sites. Investment costs for the optimized pipeline system are calculated to be about 17 billion Euros. The method provides a reproducible framework and is transferable to other countries and to European scope.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

3 major / 2 minor

Summary. The paper presents an integrated workflow that derives spatially resolved CO2 supply/demand balances from energy-system scenarios for Germany in 2045, routes a pipeline network along existing gas corridors, and uses the MYNTS multiphysics simulator to size diameters (DN700 on main corridors, DN500/DN400 on branches), locate pumps, and verify stable dense-phase operation while accounting for elevation and impurities. The resulting network is reported as approximately 7000 km long with investment costs of about 17 billion Euros and is claimed to be technically feasible for connecting cement, lime, waste-incineration, and CO2-utilization sites plus coastal hubs.

Significance. If the MYNTS results hold under real conditions, the work supplies a reproducible, transferable framework for CCUS infrastructure planning that explicitly couples scenario-derived balances with physical network simulation. The handling of elevation-induced hydrostatic effects and impurity impacts on the phase envelope is a concrete technical strength. The headline numbers (7000 km, mixed diameters, 17 B€) would then constitute a concrete, falsifiable planning benchmark for Germany and similar countries.

major comments (3)
  1. [MYNTS simulation results] MYNTS simulation results (methods and results sections): no external validation or benchmark against measured data from operating CO2 pipelines (Sleipner, Weyburn, or pilot segments) or independent codes is reported. Because pressure-drop, phase-envelope shift, and pump-power predictions directly determine the chosen diameters and the feasibility claim, absence of such checks leaves the central technical conclusion only moderately supported.
  2. [scenario integration section] CO2 balance derivation (scenario integration section): the spatially resolved production and demand figures are taken from external energy scenarios without reported sensitivity tests, error propagation, or comparison to current measured emissions. Any systematic bias in these balances would propagate directly into network topology, total length, and cost estimates.
  3. [results section] Cost estimation (results section): the 17 billion Euro figure is stated without a transparent breakdown of unit costs, contingency factors, or sensitivity to diameter or routing assumptions. This makes it impossible to judge whether the cost claim is robust to plausible variations in construction parameters.
minor comments (2)
  1. [results] Notation for pipeline diameters (DN700, DN500, DN400) should be defined at first use and cross-referenced to the norm tables employed.
  2. [results] Figure showing the final network topology would benefit from explicit labeling of pump stations and elevation profiles to allow readers to verify the physical constraints.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for the thorough and constructive review of our manuscript. The comments highlight important aspects for strengthening the technical credibility of our modeling approach. We address each major comment below and indicate the revisions we will make in the revised manuscript.

read point-by-point responses

  1. Referee: [MYNTS simulation results] MYNTS simulation results (methods and results sections): no external validation or benchmark against measured data from operating CO2 pipelines (Sleipner, Weyburn, or pilot segments) or independent codes is reported. Because pressure-drop, phase-envelope shift, and pump-power predictions directly determine the chosen diameters and the feasibility claim, absence of such checks leaves the central technical conclusion only moderately supported.

    Authors: We agree that external validation would strengthen the results. MYNTS has been validated internally by the developers for natural gas and CO2 transport applications, but we did not include specific benchmarks in the manuscript. In the revision, we will add a new subsection in the methods discussing validation against literature data for dense-phase CO2 pipelines, including pressure drop calculations compared to models from the literature (e.g., references to studies on Sleipner and Weyburn). We will also compare key outputs like pump power requirements to independent calculations using standard correlations for two-phase flow. This will provide better support for the feasibility claims. revision: yes

  2. Referee: [scenario integration section] CO2 balance derivation (scenario integration section): the spatially resolved production and demand figures are taken from external energy scenarios without reported sensitivity tests, error propagation, or comparison to current measured emissions. Any systematic bias in these balances would propagate directly into network topology, total length, and cost estimates.

    Authors: The CO2 supply and demand figures are derived from the 'Climate Neutral Germany 2045' scenario by the Fraunhofer Institute and others, which are widely used in German energy planning. To address the lack of sensitivity analysis, we will include in the revised manuscript a sensitivity study varying the CO2 volumes by ±20% and report the resulting changes in total pipeline length and costs. Additionally, we will add a comparison of the 2045 projections to current (2020) measured CO2 emissions from the included sectors to contextualize the growth. Error propagation will be discussed qualitatively, noting that the network design is robust to moderate variations. revision: yes

  3. Referee: [results section] Cost estimation (results section): the 17 billion Euro figure is stated without a transparent breakdown of unit costs, contingency factors, or sensitivity to diameter or routing assumptions. This makes it impossible to judge whether the cost claim is robust to plausible variations in construction parameters.

    Authors: We acknowledge the need for greater transparency in the cost estimation. In the revised version, we will expand the results section with a detailed breakdown of the cost calculation, including unit costs per kilometer for each diameter class (DN700, DN500, DN400) based on referenced sources (e.g., studies on European pipeline costs), assumptions on terrain factors, and a 20% contingency. We will also present a sensitivity analysis showing how costs vary with ±10% changes in unit costs and different routing scenarios. This will allow readers to assess the robustness of the 17 billion Euro estimate. revision: yes

Circularity Check

0 steps flagged

No circularity: results follow from external scenarios fed into independent physical simulator

full rationale

The derivation proceeds from externally generated energy-system CO2 balances to a corridor-based topology, then applies the MYNTS multiphysics simulator to compute diameters, pump locations, and feasibility under elevation and impurities. No step reduces by definition or by author-fitted parameters to the headline outputs (7000 km, DN700/500/400, 17 B€). MYNTS is treated as an external computational engine whose internal equations are not redefined inside the paper; costs are post-processed from the resulting geometry. No self-citation chain or ansatz smuggling is load-bearing for the central feasibility claim.

Axiom & Free-Parameter Ledger

1 free parameters · 2 axioms · 0 invented entities

The central claim rests on the accuracy of 2045 CO2 supply-demand maps taken from external energy scenarios and on the MYNTS simulator's ability to represent dense-phase flow under real elevation and impurity conditions; no new entities are postulated.

free parameters (1)
  • Pipeline diameters and pump locations
    Selected via simulation to maintain stable dense-phase flow; treated as design outputs rather than inputs.
axioms (2)
  • domain assumption Energy system scenarios supply reliable spatially resolved CO2 balances for 2045
    These balances are the direct input for network topology design.
  • domain assumption Dense-phase transport remains technically preferable and stable under the modeled conditions
    Explicitly stated as the operating mode for the entire network.

pith-pipeline@v0.9.0 · 5594 in / 1422 out tokens · 53986 ms · 2026-05-16T12:19:26.993022+00:00 · methodology

discussion (0)

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