Energy Strategy Reviews | 卷:39 |
What can be learned from variability in offshore wind projects | |
Søren Lindhard1  Jochen Teizer2  Arumugam Velaayudan3  Jon Lerche3  Søren Wandahl4  Hasse H. Neve4  Peter Enevoldsen5  | |
[1] Corresponding author.; | |
[2] Business School University of Buckingham, Hunter Street, Buckingham, MK18 IEG, United Kingdom; | |
[3] Dept. of Business Development and Technology, Aarhus Univ, Birk Centerpark 15, Herning, 7400, Denmark; | |
[4] Dept. of Engineering, Aarhus Univ, Inge Lehmanns Gade 10, Aarhus, 8000, Denmark; | |
[5] Dept. of the Built Environment, Aalborg Univ., Thomas Manns Vej 23, Aalborg, 9220, Denmark; | |
关键词: Flow; Offshore wind; Productivity; Process-time; Variability; | |
DOI : | |
来源: DOAJ |
【 摘 要 】
The focus of this study was to learn from the operational variabilities in offshore wind projects by investigating the overall delays in offshore wind projects related to arrival time (flow) or job time (process-time) variability. This research was motivated by the general understanding that flow variability is dominant within the offshore wind domain. The case study presented is based on 183,197 historical data-points from six different cases, the selection of cases was based on overall controllable project features. The findings reveal that from a variability perspective onshore performs better than offshore. The distribution also reveals that the process-time variability is dominant for both the onshore and offshore assembly location. This indicates that the offshore wind project variabilities are controllable and oppose the general understanding within the body of knowledge, however, further research would be required to understand the probable causations. The analysis and its results can be used for later predictions of project schedule outcomes or as explicit external knowledge for comparison. The results of this research project are relevant to both academics and practitioners, not only in offshore wind projects, but also onshore wind and other operations handling remote assembly locations.
【 授权许可】
Unknown