ノルトライン＝ヴェストファーレン州におけるマルチモーダルCO₂輸送ネットワーク最適化 — 結果データセット

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:マルチモーダル輸送最適化の再現可能な結果データとして、CCUSネットワーク研究のベンチマークに使える。

🏢実務担当者:自社排出源の輸送コストとモード選択の感度を把握し、CCS参画や拠点立地の検討に活用できる。

🏛政策担当者:産業クラスターのCO₂輸送インフラ整備における公的支援や規制設計の費用根拠として参照できる。

This dataset holds the optimization results behind the article "Multimodal CO2 Transport Network Optimization: A Case Study for North Rhine-Westphalia". A multimodal mixed-integer linear optimization determines how the captured CO2 of the North Rhine-Westphalia industrial cluster reaches geological storage at least cost, choosing between pipeline, rail, truck, inland barge and seagoing tanker. For every scenario the dataset gives the resulting network geometry, showing which emitter is served by which mode along which route to which storage site and at what cost, together with the emitter and storage input data and the values plotted in the main-text figures. Contents geojson/  — optimized network geometry, one folder per scenario and one file per layer: 89 files, 11 scenarios, 11 layer types (sources, terminals, onshore pipeline, rail, truck and inland-barge connections, offshore pipelines and their segments, offshore tankers, storage nodes, activated pipeline segments). EPSG:4326. Each file carries authorship, licence, DOI, scenario and layer metadata in its header. input_data/  — emitter inventories ( sites_S1 ,  sites_S2 ,  sites_EA ) and offshore storage nodes, with coordinates, captured quantities, modal access, capacities, injection rates and storage tariffs. supplementary_data.xlsx  — run index of all reported runs with their settings, captured volume, transport cost, onshore pipeline length and modal split, plus the plotted values of the cost-composition and modal-split figures. README.txt  — scenario naming, attribute definitions, units, conventions.  LICENSE.txt  — licence terms and citation. Scenarios. S1 covers the hard-to-abate industries (cement, lime, waste incineration), about 14.9 Mt CO2 per year; S2 adds steel and chemicals, about 39.4 Mt per year; EA covers the announced pre-FID early-adopter projects, about 5.1 Mt per year. "endo" uses greenfield pipelines only, "plus" adds the announced exogenous corridors, "pure" allows offshore storage only, "both" offshore and onshore.  Conventions. Flows in tonnes per year, lengths in kilometres, costs annualized in EUR  with a 5 % discount rate. Transport cost excludes storage and injection, and activated exogenous corridor segments are priced at full cost. All GeoJSON attributes are optimization outputs, not model inputs. Attribution. Rail and inland-waterway route geometry follows the OpenStreetMap network: this dataset contains information from OpenStreetMap, made available under the Open Database License (ODbL) v1.0; map data © OpenStreetMap contributors, https://www.openstreetmap.org/copyright . The emitter inventory builds on the E-PRTR / EEA Industrial Emissions Portal (2024), European Environment Agency. Map lines delineate study areas and do not necessarily depict accepted national boundaries. Citation. Lütz, L., Neuwirth, M., Fleiter, T. (2026). Multimodal CO2 Transport Network Optimization for North Rhine-Westphalia — Results Dataset. Zenodo. https://doi.org/10.5281/zenodo.22114700 — please cite the accompanying article as well.

• Zenodo https://zenodo.org/records/24166318first seen 2026-11-13 04:17:11 · last seen 2026-11-14 04:14:48