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Design and assessment of energetic agility measures in factories based on multivariate linear regression

 
: Kuhlmann, Timm; Sauer, Alexander

:
Volltext urn:nbn:de:0011-n-5525302 (1.0 MByte PDF)
MD5 Fingerprint: 0e59aa4decf00fbd98dcae9cd4f4a156
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Erstellt am: 30.7.2019


Procedia CIRP 80 (2019), S.162-167
ISSN: 2212-8271
Conference on Life Cycle Engineering (LCE) <26, 2019, West Lafayette/Ind.>
Englisch
Zeitschriftenaufsatz, Konferenzbeitrag, Elektronische Publikation
Fraunhofer IPA ()
Fertigung; Energiesystem; erneuerbare Energie; Energieeffizienz; Energieversorgung; Industrie

Abstract
Industrial power supply systems have to adapt to the impending turbulence on the energy market as well as the agility of the influences on the manufacturing systems. Furthermore, developments such as e-mobility or interlinking different energy sources provide challenges to the industrial power supply. The design and assessment of possible measures addressing these changes is a challenging task for planners of industrial energy systems. The presented method first introduces a stepwise procedure of designing agile measures for the factory's energy system. Following the designing phase, the benefit assessment method based on multivariate linear regression analysis in combination with Monte Carlo simulation is described. Finally, a case study demonstrates the usability of the overall method and shows first benefits of an agile energy system. Therefore, the presented method is suitable for evaluating measures that promote agility despite planning uncertainty.

: http://publica.fraunhofer.de/dokumente/N-552530.html