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Hierarchical aggregation of energy performance indicators in continuous production processes

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  • Beisheim, Benedikt
  • Krämer, Stefan
  • Engell, Sebastian

Abstract

The mitigation of the climate change requires a significant reduction of the fossil energy consumption in all industrial sectors. The implementation of formalized management systems supports the industry to continuously improve the energy performance which is measured using so called “Energy Performance Indicators”. One essential requirement for the evaluation is the correction of these indicators and the corresponding baselines by the influences of external static or dynamic factors, e.g. the ambient conditions, the product spectrum or the plant load. This is in particular difficult for large integrated production sites as e.g. in the chemical industry. In this contribution, an aggregation method is proposed to exploit the analysis of the factors on lower hierarchical layers for the evaluation of the performance of an aggregated domain. Thereby, the resulting aggregated indicator and the corresponding baseline consider all the identified factors from the lower layers, which facilitates the analysis and allocation of possible savings potentials. The concept is applied exemplarily to an integrated chemical production site and the contributions of each plant to the deviation of the energy performance of the site are analyzed. The method facilitates the verification of the improvement of the energy performance as required by ISO 50001:2018 and helps decision makers to prioritize investments in energy efficiency projects. The results can be used for discussions with policy-makers, certification bodies and other stakeholders on energy efficiency targets.

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  • Beisheim, Benedikt & Krämer, Stefan & Engell, Sebastian, 2020. "Hierarchical aggregation of energy performance indicators in continuous production processes," Applied Energy, Elsevier, vol. 264(C).
    • Handle: RePEc:eee:appene:v:264:y:2020:i:c:s030626192030221x
    DOI: 10.1016/j.apenergy.2020.114709
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    1. Kanchiralla, Fayas Malik & Jalo, Noor & Thollander, Patrik & Andersson, Maria & Johnsson, Simon, 2021. "Energy use categorization with performance indicators for the food industry and a conceptual energy planning framework," Applied Energy, Elsevier, vol. 304(C).

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