Cost controlling of wind energy plants using maintenance process modelling

2016 ◽  
Author(s):  
Fazel Ansari ◽  
Ulrich Seidenberg ◽  
Aline Stock ◽  
Matthias Vogel
Keyword(s):  
Wind Energy ◽  
Process Modelling ◽  
Cost Controlling ◽  
Maintenance Process ◽  
Energy Plants

scholarly journals Famos 4 Wind a New Method for the Fatigue Monitoring of Wind Energy Plants

2015 ◽  
Vol 133 ◽  
pp. 84-89 ◽  
Author(s):  
Steffen Bergholz ◽  
Jürgen Rudolph ◽  
Adrian Willuweit
Keyword(s):  
Wind Energy ◽  
New Method ◽  
Fatigue Monitoring ◽  
Energy Plants

scholarly journals Coupling effects on the dynamic response of moored floating platforms for offshore wind energy plants

2017 ◽  
Vol 199 ◽  
pp. 3194-3199
Author(s):  
Alessandro Giusti ◽  
Giovanni Stabile ◽  
Enzo Marino ◽  
Claudio Borri
Keyword(s):  
Dynamic Response ◽  
Wind Energy ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Coupling Effects ◽  
Floating Platforms ◽  
Energy Plants

scholarly journals Maintenance process modelling with Cellular Automata and Voronoi diagram

2014 ◽  
Vol 11 (4) ◽  
pp. 11-18 ◽  
Author(s):  
M. Ouardouz ◽  
◽  
M. Kharbach ◽  
Bel Fekih ◽  
A. Bernoussi
Keyword(s):  
Cellular Automata ◽  
Voronoi Diagram ◽  
Process Modelling ◽  
Maintenance Process

scholarly journals After-sales services optimisation through dynamic opportunistic maintenance: a wind energy case study

2018 ◽  
Vol 232 (4) ◽  
pp. 352-367 ◽  
Author(s):  
Asier Erguido ◽  
Adolfo Crespo ◽  
Eduardo Castellano ◽  
Jose Luis Flores
Keyword(s):  
Wind Energy ◽  
Decision Makers ◽  
Opportunistic Maintenance ◽  
Maintenance Strategies ◽  
Maintenance Decision ◽  
Performance Based Contracts ◽  
Maintenance Process ◽  
Original Equipment Manufacturers ◽  
High Uncertainty

After-sales maintenance services can be a very profitable source of income for original equipment manufacturers (OEMs) due to the increasing interest of assets’ users on performance-based contracts. However, when it concerns the product value-adding process, OEMs have traditionally been more focused on improving their production processes, rather than on complementing their products by offering after-sales services, consequently leading to difficulties in offering them efficiently. Furthermore, due to both the high uncertainty of the assets’ behaviour and the inherent challenges of managing the maintenance process (e.g. maintenance strategy to be followed or resources to be deployed), it is complex to make business out of the supply of after-sales services. Aiming at helping the business and maintenance decision-makers at this point, this paper proposes a framework for optimising the income of after-sales maintenance services through: (a) implementing advanced multi-objective opportunistic maintenance strategies that systematically consider the assets’ operational context in order to perform preventive maintenance during the most favourable conditions, (b) considering the specific OEMs’ and users’ needs and (c) assessing both endogenous and exogenous uncertainties that might condition the after-sales services’ profitability. The developed case study for the wind energy sector demonstrates the suitability of the presented framework for optimising the after-sales services.

Sign in / Sign up

Export Citation Format

Share Document