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

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

Applied Energy, 2016, vol. 166, issue C, 59-75

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.

Keywords: Data aggregation; Flexibility; Multi-generation; Operation optimization; Polygeneration (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:166:y:2016:i:c:p:59-75

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DOI: 10.1016/j.apenergy.2015.12.050

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