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

Authors :
Zipperle, Thomas
Orthofer, Clara Luisa
Source :
Energies (19961073). 4/15/2019, Vol. 12 Issue 8, p1483. 1p.
Publication Year :
2019

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19961073
Volume :
12
Issue :
8
Database :
Academic Search Index
Journal :
Energies (19961073)
Publication Type :
Academic Journal
Accession number :
136164316
Full Text :
https://doi.org/10.3390/en12081483