Impact of spare parts remanufacturing on the operation and maintenance performance of offshore wind turbines: a multi-agent approach

被引:28
作者
Dahane, Mohammed [1 ]
Sahnoun, M'hammed [2 ]
Bettayeb, Belgacem [3 ]
Baudry, David [4 ]
Boudhar, Hamza [5 ]
机构
[1] Natl Sch Engn ENIM, Lab Ind Engn Prod & Maintenance LGIPM, 1 Route Ars Laquenexy CS65820, F-57078 Metz 3, France
[2] CESI, IRISE, 1 Rue G Marconi, Mont St Aignan, France
[3] Ecole Mines Nantes, Inst Rech Commun & Cybernet Nantes, CNRS, IRCCyN,UMR 6597,SLP, BP 20722, F-44307 Nantes 3, France
[4] CESI, Lab Usages Informat & Numer Entreprises LUSINE, CESI, 1 Rue G Marconi, Mont St Aignan, France
[5] Univ Lorraine, Lab Ind Engn Prod & Maintenance LGIPM, 1 Route Ars Laquenexy CS65820, F-57078 Metz 3, France
关键词
Wind turbine; Remanufacturing; Spare part management; Gearbox; Multi-agent systems; Simulation; SUPPLY-CHAIN MANAGEMENT; LIFE-CYCLE ASSESSMENT; IMMUNE ALGORITHM; OPTIMIZATION; SYSTEMS; DESIGN; SIMULATION; FRAMEWORK; MODELS;
D O I
10.1007/s10845-015-1154-1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Offshore wind farms are a growing source of energy, which aims to ensure a clean energy with a low environmental impact. In this context, this paper investigates opportunities of the turbine gearbox end of life-cycle to improve the operation and maintenance strategies. We determine the impact of spare part policy based on the remanufacturing of gearboxes recovered after each replacement. The remanufacturing implementation allows the extension of the gearbox life-cycle and involves a perfect organization and coordination between maintenance, monitoring, operation and spare part supply chain to determine the best way to use each gearbox of each wind turbine. In this paper, we present a multi-agent based approach to analyze the impact of the spare parts remanufacturing strategy on the performance of an offshore wind farm in term of total cost and carbon footprint.
引用
收藏
页码:1531 / 1549
页数:19
相关论文
共 77 条
[1]  
[Anonymous], WIND ENERGY
[2]  
[Anonymous], 5 INT C MOD SIM APPL
[3]   Towards a distributed multi-agent framework for shared resources scheduling [J].
Archimede, Bernard ;
Letouzey, Agnes ;
Memon, Muhammad Ali ;
Xu, Jiucheng .
JOURNAL OF INTELLIGENT MANUFACTURING, 2014, 25 (05) :1077-1087
[4]  
Balaji PG, 2010, STUD COMPUT INTELL, V310, P1
[5]   Applications of agent-based models for optimization problems: A literature review [J].
Barbati, M. ;
Bruno, G. ;
Genovese, A. .
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (05) :6020-6028
[6]   ANALYZING MYOPIC APPROACHES FOR MULTI-AGENT COMMUNICATION [J].
Becker, Raphen ;
Carlin, Alan ;
Lesser, Victor ;
Zilberstein, Shlomo .
COMPUTATIONAL INTELLIGENCE, 2009, 25 (01) :31-50
[7]   New dynamic heuristic for the optimization of opportunities to use new and remanufactured spare part in stochastic degradation context [J].
Boudhar, Hamza ;
Dahane, Mohammed ;
Rezg, Nidhal .
JOURNAL OF INTELLIGENT MANUFACTURING, 2017, 28 (02) :437-454
[8]  
Burton T, 2011, WIND ENERGY HDB, DOI DOI 10.1002/9781119992714
[9]   Simulation of wind farm operations and maintenance using discrete event system specification [J].
Byon, Eunshin ;
Perez, Eduardo ;
Ding, Yu ;
Ntaimo, Lewis .
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2011, 87 (12) :1093-1117
[10]   Season-Dependent Condition-Based Maintenance for a Wind Turbine Using a Partially Observed Markov Decision Process [J].
Byon, Eunshin ;
Ding, Yu .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2010, 25 (04) :1823-1834