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ODYM—An open software framework for studying dynamic material systems: Principles, implementation, and data structures

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  • Stefan Pauliuk
  • Niko Heeren

Abstract

Material flow analysis (MFA) studies the stocks and flows of goods and substances in systems. The methods and algorithms of MFA have improved over the last few years, but a flexible platform that integrates recent modeling advances such as simultaneous consideration of the product, component, material and chemical element levels, lifetime models, and uncertainty treatment is not available. There is also no versatile data format for exchanging data between projects. This lack of research infrastructure is detrimental to scientific progress. To fill that gap, we propose a novel industrial ecology community model for MFA. The Open Dynamic Material Systems Model (ODYM) is an open source framework for material systems modeling programmed in Python. The description of systems, processes, stocks, flows, and parameters is object‐based, which facilitates the development of modular software and testing routines for individual model blocks. ODYM MFA models can handle any depth of flow and stock specification: products, components, sub‐components, materials, alloys, waste, and chemical elements can be traced simultaneously. ODYM features a new data structure for material flow analysis; all input and output data are stored in a standardized file format and can thus be exchanged across projects. It also comes with an extended library for dynamic stock modeling. We present the features, design principles, software, and data structure of ODYM, describe its main methods and functions, and give an outlook on current and future applications.

Suggested Citation

  • Stefan Pauliuk & Niko Heeren, 2020. "ODYM—An open software framework for studying dynamic material systems: Principles, implementation, and data structures," Journal of Industrial Ecology, Yale University, vol. 24(3), pages 446-458, June.
  • Handle: RePEc:bla:inecol:v:24:y:2020:i:3:p:446-458
    DOI: 10.1111/jiec.12952
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    4. Edgar Hertwich & Niko Heeren & Brandon Kuczenski & Guillaume Majeau†Bettez & Rupert J. Myers & Stefan Pauliuk & Konstantin Stadler & Reid Lifset, 2018. "Nullius in Verba: Advancing Data Transparency in Industrial Ecology," Journal of Industrial Ecology, Yale University, vol. 22(1), pages 6-17, February.
    5. Detlef Vuuren & Elmar Kriegler & Brian O’Neill & Kristie Ebi & Keywan Riahi & Timothy Carter & Jae Edmonds & Stephane Hallegatte & Tom Kram & Ritu Mathur & Harald Winkler, 2014. "A new scenario framework for Climate Change Research: scenario matrix architecture," Climatic Change, Springer, vol. 122(3), pages 373-386, February.
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    9. Yasushi Kondo & Shinichiro Nakamura, 2005. "Waste input-output linear programming model with its application to eco-efficiency analysis," Economic Systems Research, Taylor & Francis Journals, vol. 17(4), pages 393-408.
    10. Stefan Pauliuk & Niko Heeren & Mohammad Mahadi Hasan & Daniel B. Müller, 2019. "A general data model for socioeconomic metabolism and its implementation in an industrial ecology data commons prototype," Journal of Industrial Ecology, Yale University, vol. 23(5), pages 1016-1027, October.
    11. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
    12. Stefan Pauliuk & Anders Arvesen & Konstantin Stadler & Edgar G. Hertwich, 2017. "Industrial ecology in integrated assessment models," Nature Climate Change, Nature, vol. 7(1), pages 13-20, January.
    13. Niko Heeren & Stefanie Hellweg, 2019. "Tracking Construction Material over Space and Time: Prospective and Geo‐referenced Modeling of Building Stocks and Construction Material Flows," Journal of Industrial Ecology, Yale University, vol. 23(1), pages 253-267, February.
    14. Pfenninger, Stefan & DeCarolis, Joseph & Hirth, Lion & Quoilin, Sylvain & Staffell, Iain, 2017. "The importance of open data and software: Is energy research lagging behind?," Energy Policy, Elsevier, vol. 101(C), pages 211-215.
    15. Kristie Ebi & Stephane Hallegatte & Tom Kram & Nigel Arnell & Timothy Carter & Jae Edmonds & Elmar Kriegler & Ritu Mathur & Brian O’Neill & Keywan Riahi & Harald Winkler & Detlef Vuuren & Timm Zwickel, 2014. "A new scenario framework for climate change research: background, process, and future directions," Climatic Change, Springer, vol. 122(3), pages 363-372, February.
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    Cited by:

    1. Christoph Helbig & Yasushi Kondo & Shinichiro Nakamura, 2022. "Simultaneously tracing the fate of seven metals at a global level with MaTrace‐multi," Journal of Industrial Ecology, Yale University, vol. 26(3), pages 923-936, June.
    2. Julien Pedneault & Guillaume Majeau‐Bettez & Stefan Pauliuk & Manuele Margni, 2022. "Sector‐specific scenarios for future stocks and flows of aluminum: An analysis based on shared socioeconomic pathways," Journal of Industrial Ecology, Yale University, vol. 26(5), pages 1728-1746, October.
    3. Qingshi Tu & Edgar G. Hertwich, 2022. "A mechanistic model to link technical specifications of vehicle end‐of‐life treatment with the potential of closed‐loop recycling of post‐consumer scrap alloys," Journal of Industrial Ecology, Yale University, vol. 26(3), pages 704-717, June.
    4. Sarah Schmidt & David Laner, 2023. "The environmental performance of plastic packaging waste management in Germany: Current and future key factors," Journal of Industrial Ecology, Yale University, vol. 27(6), pages 1447-1460, December.
    5. Chunbo Zhang & Xiang Zhao & Romain Sacchi & Fengqi You, 2023. "Trade-off between critical metal requirement and transportation decarbonization in automotive electrification," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    6. Christine Roxanne Hung & Paul Kishimoto & Volker Krey & Anders Hammer Strømman & Guillaume Majeau‐Bettez, 2022. "ECOPT2: An adaptable life cycle assessment model for the environmentally constrained optimization of prospective technology transitions," Journal of Industrial Ecology, Yale University, vol. 26(5), pages 1616-1630, October.
    7. Xiaoyang Zhong & Mingming Hu & Sebastiaan Deetman & Bernhard Steubing & Hai Xiang Lin & Glenn Aguilar Hernandez & Carina Harpprecht & Chunbo Zhang & Arnold Tukker & Paul Behrens, 2021. "Global greenhouse gas emissions from residential and commercial building materials and mitigation strategies to 2060," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    8. Brenda Miranda Xicotencatl & René Kleijn & Sander van Nielen & Franco Donati & Benjamin Sprecher & Arnold Tukker, 2023. "Data implementation matters: Effect of software choice and LCI database evolution on a comparative LCA study of permanent magnets," Journal of Industrial Ecology, Yale University, vol. 27(5), pages 1252-1265, October.

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