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A method for aggregating external operating conditions in multi-generation system optimization models

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  • Lythcke-Jørgensen, Christoffer Ernst
  • Münster, Marie
  • Ensinas, Adriano Viana
  • Haglind, Fredrik

Abstract

This paper presents a novel, simple method for reducing external operating condition datasets to be used in multi-generation system optimization models. The method, called the Characteristic Operating Pattern (CHOP) method, is a visually-based aggregation method that clusters reference data based on parameter values rather than time of occurrence, thereby preserving important information on short-term relations between the relevant operating parameters. This is opposed to commonly used methods where data are averaged over chronological periods (months or years), and extreme conditions are hidden in the averaged values.

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  • Lythcke-Jørgensen, Christoffer Ernst & Münster, Marie & Ensinas, Adriano Viana & Haglind, Fredrik, 2016. "A method for aggregating external operating conditions in multi-generation system optimization models," Applied Energy, Elsevier, vol. 166(C), pages 59-75.
    • Handle: RePEc:eee:appene:v:166:y:2016:i:c:p:59-75
    DOI: 10.1016/j.apenergy.2015.12.050
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