Print Email Facebook Twitter Managing Risks in Electrical Infrastructure Assets from a Strategic Perspective Title Managing Risks in Electrical Infrastructure Assets from a Strategic Perspective Author Zhuang, Q. Contributor Smit, J.J. (promotor) Faculty Electrical Engineering, Mathematics and Computer Science Department Electrical Sustainable Energy Date 2015-11-16 Abstract Should risks always be quantified before being managed? The answer is “yes” in the opinion of most asset managers in today’s electricity transmission and distribution companies, but “no” in modern theories of risk management. When the risks refer to reliability hazards of high-voltage assets, the answer to the above question is “yes, it should be, but not yet”. The first part of this thesis studies a typical cause of this situation: when data and knowledge on high-voltage assets are insufficient. Specifically, statistical methods were developed for analyzing life data of limit quantity and poor quality. For other types of data, the reliability data model and the knowledge maturity model were developed, as the tools to evaluate the progress towards risk-based asset management. When the risks on electrical infrastructure assets are long-term and stakeholder-oriented, the answer to the above question is probably “no”. In the second part of this thesis, these risks are modelled as “strategic risks”. Through adapting the theory of Klinke and Renn, the author identifies six types of strategic risks. Then, through developing our version of system diagram, the author provides asset managers with an analytical tool to manage the complexities and uncertainties caused by these strategic risks. Subject electrical infrastructureasset managementstrategic risk managementhigh voltage To reference this document use: https://doi.org/10.4233/uuid:c2a2c9d9-e83d-43b0-a96d-75993464771c Publisher Next Generation Infrastructures Foundation ISBN 978-94-62331-25-9 Part of collection Institutional Repository Document type doctoral thesis Rights (c) 2015 Zhuang, Q. Files PDF Q_Zhuang_PhD_thesis_-_library.pdf 4.85 MB Close viewer /islandora/object/uuid%3Ac2a2c9d9-e83d-43b0-a96d-75993464771c/datastream/OBJ/view