Uncertainty in electrified industrial systems

Towards a method for the identification and exploration of uncertain factors

Master Thesis (2018)
Authors

M. Thijsen (TU Delft - Technology, Policy and Management)

Supervisors

Rob Stikkelman ()

Faculty
Technology, Policy and Management, Technology, Policy and Management
Copyright
© 2018 Maurice Thijsen
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 Maurice Thijsen
Graduation Date
05-12-2018
Awarding Institution
Delft University of Technology
Project
Flexnet Project
Faculty
Technology, Policy and Management, Technology, Policy and Management
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Abstract

Uncertainty has an obstructing role in the decision-making of electrification investments for industrial actors. Future research by analysts is required to explore the potential of electrified industrial systems in their uncertain environments. In order to enable research to uncertainty in electrified industrial systems, the identification and exploration of uncertain factors is required. In this research, a method is proposed to identify and explore uncertain factors in electrified industrial systems. The development of the method is based on literature analyses. The findings in the current work about the conceptualisation, identification and exploration of uncertainty are synthesised with the specific characteristics of industrial environments. This led to the development of the Industrial uncertainty scan. The method was applied to a case-study to discuss its value.

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