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

Thomas Zipperle and Clara Luisa Orthofer
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Thomas Zipperle: Chair of Energy Economy and Application Technology, Department of Electrical and Computer Engineering, Technical University of Munich, 80333 Munich, Germany
Clara Luisa Orthofer: Chair of Energy Economy and Application Technology, Department of Electrical and Computer Engineering, Technical University of Munich, 80333 Munich, Germany

Energies, 2019, vol. 12, issue 8, 1-12

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.

Keywords: MESSAGE ix; reproducibility; collaborative work; open modelling and data; data-handling; integrated assessment modelling; data pre- and post-processing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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