コードとデータ：分散型廃棄バイオマスから固体炭素へのスケーラブルな炭素除去のグローバル潜在力

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

🔬研究者:廃バイオマス由来CDRのコスト・ポテンシャルを全球グリッドで定量化した再現可能なモデルを提供する。

🏢実務担当者:炭素除去クレジット調達や除去技術投資のコスト感覚を掴む参考になる。

🏛政策担当者:CDR支援策や炭素除去の費用対効果設計の基礎データとして活用可能。

Code, input data and gridded outputs for the study: Global potential of decentralized waste biomass to solid carbon for scalable carbon removalMarco Gigantino1,2,#,*, Stefano Mingolla3,4,#,*, Lorenzo Rosa1,3, Largus T. Angenent5,6,7,8,9, Matteo Cargnello1,9,10 1Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA2Department of Chemical Engineering, University College London, London, WC1E 7JE, United Kingdom3Biosphere Sciences & Engineering, Carnegie Institution for Science, Stanford, CA, USA4School of Science and Technology, IE University, Cardenal Zúñiga 12, Segovia, Spain5Environmental Biotechnology Group, Department of Geosciences, University of Tübingen, Schnarrenbergstraße 94-96, 72076 Tübingen, Germany6Cluster of Excellence – Controlling Microbes to Fight Infections, University of Tübingen, Auf der Morgenstelle 28, 72074 Tübingen, Germany7AG Angenent, Max Planck Institute for Developmental Biology, Max Planck Ring 5, 72076 Tübingen, Germany8Department of Biological and Chemical Engineering, Aarhus University, Gustav Wieds Vej 10D, 8000 Aarhus C, Denmark9The Novo Nordisk Foundation CO2 Research Center (CORC), Aarhus University, Gustav Wieds Vej 10C, 8000 Aarhus C, Denmark10SUNCAT Center for Interface Science and Catalysis, Stanford University, Stanford, CA 94305, USA#These authors contributed equally. *Corresponding authors: marco.gigantino@ucl.ac.uk; stefano.mingolla@ie.edu Overview The model describes a modular, solar-powered unit that converts crop residues and livestock manure into stable solid carbon through anaerobic digestion, biomethanation and methane pyrolysis, with hydrogen recycled internally and nutrients returned to soil as digestate. A coupled mass, energy and cost model is applied to the global waste-biomass resource on a 5-arcminute grid to obtain, for every eligible pixel, the annual solid-carbon output, the electricity demand of the three conversion steps, and the levelized cost of carbon, including co-located photovoltaic generation and battery storage. Contents Biomass2carbon_model.ipynb — the complete pipeline: resource screening, per-pixel techno-economic calculation, country-level aggregation, and univariate, bivariate and structural sensitivity analyses. Reproduces every figure of the paper and its supplementary information. Biomass2Carbon_model.xlsx — every techno-economic input, with the literature data, statistics and references behind each coefficient, and an independent hand calculation of the full cost chain. Inputs.zip — waste-biomass availability (crop residues, manure) and photovoltaic capacity factor harmonised to a common 5-arcminute grid, and the eligible-pixel layers used in the analysis. Outputs.zip — gridded model outputs (solid-carbon output, electricity demand, levelized cost of carbon, PV levelized cost of electricity) and the statistical and country-level tables quoted in the text. README.md — file descriptions, units and instructions to reproduce the results. Reproducibility Running the notebook with the workbook unchanged yields a levelized cost of carbon of 923 USD t-1 C for crop residues, 1,534 USD t-1 C for manure and 1,075 USD t-1 C for the generic reference case at the median capacity factor of the eligible pixels, matching the hand calculation in the workbook's Check_REF sheet. Source data Waste-biomass availability: Feng, Y. & Rosa, L. Environ. Res. Lett. 19, 024024 (2024). Photovoltaic output: Global Solar Atlas 2.0, World Bank Group and Solargis (CC BY 4.0). Country boundaries: Natural Earth. Code is released under the MIT licence; data and documentation under CC BY 4.0.

• openalex https://doi.org/10.5281/zenodo.22876278first seen 2026-09-23 05:04:26 · last seen 2026-09-23 05:04:41