Morten Brinch
Industrial Ph.D. Student
| Contact info | |
| mobr@sam.sdu.dk | |
Research interest
Supply chain management, operation and maintenance, big data
PhD - Big Data and Operation & Maintenance in the Offshore Wind Energy Sector
The
purpose of this Ph.D is to develop new knowledge concerning the new buzz
word “Big Data”. Big data will be studied in the context of operation and
maintenance of offshore wind farms, identifying new ways O&M practices can
be applied with the use of big data, to increase the energy output and to
reduce the associated costs.
This
Ph.D seeks to answer following research question: How and to what extent can
big data contribute to the reduction of OPEX and changing the service supply
chain business model for O&M?
Four
work packages is planned to take place:
Method
A
longitudinal case study exploring two different offshore wind parks will
take place. The offshore wind parks selected is an already commissioned
park; the other park is set to be commissioned in 2017. Studying these two
parks will give empirical insights on how big data is incorporated and used
in forthcoming commissioned parks.
Empirical foundation
- Field study of a commissionad offshore wind park combined with a series of interviews
- Analysis of current O&M practices, big data's value contribution and financial impact
- The development of big data-, SCM- and O&M theories on how to reduce POEX
Theoretical framework
- Big data
- Operation & Maintenance
- Supply chain management & supply chain innovation
- Business models