Asset management strategies for wind turbines: Keeping or retrofitting existing wind turbines?
Cinar, Suna ; Rubaiee, Saeed ; Yildirim, Mehmet Bayram
Cinar, Suna
Rubaiee, Saeed
Yildirim, Mehmet Bayram
Citations
Altmetric:
Other Names
Location
Time Period
Advisors
Original Date
Digitization Date
Issue Date
2021-04-05
Type
Article
Genre
Keywords
Wind turbine,Mixed-integer linear programming,Asset management,Retrofitting,Optimisation
Subjects (LCSH)
Citation
Cinar, S., Rubaiee, S., & Yildirim, M. B. (2021). Asset management strategies for wind turbines: Keeping or retrofitting existing wind turbines? International Journal of Operational Research, 40(3), 318-341. doi:10.1504/IJOR.2021.114302
Abstract
In this study, a parallel replacement problem with retrofitting (PRP-R) model is proposed to determine the trade-off between retrofitting and replacing an asset. The primary objective is to identify the replacement, maintenance and retrofitting schedule that optimise purchasing new assets, operation and maintenance (O&M) cost, and retrofitting cost under budget and production constraints resulting in a mixed-integer linear programming formulation. This model is applied to a case study of energy industry involving wind turbines (WTs). Results show that due to a lower O&M cost, retrofitting is less costly than keeping the WTs. In addition, the effects of key parameters such as O&M cost, retrofitting cost, budget allocated for retrofitting and governmental subsidy on the optimal replacement policy on total cost are studied. This research contributes a model that can be used to determine if WT retrofitting is economically justified and provides a rigorous analytical framework for optimising the decision-making process over the wind farm life cycle.
Table of Contents
Description
Click on the DOI link to access the article (may not be free).
Publisher
Inderscience
Journal
Book Title
Series
International Journal of Operational Research;Vol. 40, Iss. 3
Digital Collection
Finding Aid URL
Use and Reproduction
Archival Collection
PubMed ID
DOI
ISSN
1745-7645
1745-7653
1745-7653
