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d2ix : A Model Input-Data Management and Analysis Tool for MESSAGE ix

Author

Listed:
  • Thomas Zipperle

    (Chair of Energy Economy and Application Technology, Department of Electrical and Computer Engineering, Technical University of Munich, 80333 Munich, Germany
    These authors contributed equally to this work.)

  • Clara Luisa Orthofer

    (Chair of Energy Economy and Application Technology, Department of Electrical and Computer Engineering, Technical University of Munich, 80333 Munich, Germany
    These authors contributed equally to this work.)

Abstract

Bottom-up integrated assessment models, like MESSAGE ix , depend on the description of the capabilities and limitations of technological, economical and ecological parameters, and their development over long-time horizons. Even small models of a few nodes, technologies and model years require input-data sets involving several hundred thousand data points. Such data sets quickly become incomprehensible, which makes error detection, collaborative working and the interpretation of results challenging, especially for non-self-created models. In response to the resulting need for manageable, comprehensible, and traceable representation of input-data, we developed a Python-based spreadsheet interface ( d2ix ) that enables presentation and editing of model input-data in a concise form. By increasing accessibility and transparency of the model input-data, d2ix reduces barriers to entry for new modellers and simplifies collaborative working. This paper describes the methodology and introduces the open-source Python-package d2ix . The package is available under the Apache License, Version 2.0 on GitHub.

Suggested Citation

  • Thomas Zipperle & Clara Luisa Orthofer, 2019. "d2ix : A Model Input-Data Management and Analysis Tool for MESSAGE ix," Energies, MDPI, vol. 12(8), pages 1-12, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:8:p:1483-:d:224200
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    References listed on IDEAS

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