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

Autor: Thomas Zipperle, Clara Luisa Orthofer
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Energies, Vol 12, Iss 8, p 1483 (2019)
Druh dokumentu: article
ISSN: 1996-1073
DOI: 10.3390/en12081483
Popis: Bottom-up integrated assessment models, like MESSAGEix, 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.
Databáze: Directory of Open Access Journals
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