Wind farm generation forecast and optimal maintenance schedule model

Wind Energy ◽  
2019 ◽  
Vol 22 (12) ◽  
pp. 1872-1890 ◽  
Author(s):  
Jonas C. Pelajo ◽  
Luiz E.T. Brandão ◽  
Leonardo L. Gomes ◽  
Marcelo C. Klotzle
Keyword(s):  
Wind Farm ◽  
Schedule Model ◽  
Maintenance Schedule ◽  
Optimal Maintenance

scholarly journals Optimal maintenance scheduling for local public purpose buildings

2016 ◽  
Vol 34 (2) ◽  
pp. 120-135 ◽  
Author(s):  
Arnt O. Hopland ◽  
Sturla F. Kvamsdal
Keyword(s):  
Local Governments ◽  
Formal Model ◽  
Maintenance Scheduling ◽  
Trade Off ◽  
Content Type ◽  
Maintenance Schedule ◽  
Public Purpose ◽  
Trade Offs ◽  
Optimal Maintenance ◽  
The Cost

Purpose – The purpose of this paper is to set up and analyze a formal model for maintenance scheduling for local government purpose buildings. Design/methodology/approach – The authors formulate the maintenance scheduling decision as a dynamic optimization problem, subject to an accelerating decay. This approach offers a formal, yet intuitive, weighting of an important trade-off when deciding a maintenance schedule. Findings – The optimal maintenance schedule reflects a trade-off between the interest rate and the rate at which the decay accelerates. The prior reflects the alternative cost, since the money spent on maintenance could be saved and earn interests, while the latter reflects the cost of postponing maintenance. Importantly, it turns out that it is sub-optimal to have a cyclical maintenance schedule where the building is allowed to decay and then be intensively maintained before decaying again. Rather, local governments should focus the maintenance either early in the building’s life-span and eventually let it decay toward replacement/abandonment or first let it decay to a target level and then keep it there until replacement/abandonment. Which of the two is optimal depends on the trade-off between the alternative cost and the cost of postponing maintenance. Originality/value – The paper provides a first formal inquiry into important trade-offs that are important for maintenance scheduling of local public purpose buildings.

A Method for Maintenance Scheduling in Manufacturing Systems Based on TPM and MFOP

2010 ◽  
Vol 44-47 ◽  
pp. 404-408
Author(s):  
Jiang Long ◽  
Wei An Jiang
Keyword(s):  
Production Process ◽  
Manufacturing Systems ◽  
Maintenance Scheduling ◽  
New Method ◽  
Manufacturing Equipment ◽  
Maintenance Schedule ◽  
Optimal Maintenance

In order to improve the overall equipment effectiveness, a new method for maintenance scheduling in manufacturing systems using the philosophies of TPM and MFOP is presented in this paper，considering both the production process and maintenance operations of manufacturing equipment. An LCC analysis is also conducted for evaluating and searching for the optimal maintenance schedule.

Optimizing Ship Machinery Maintenance Scheduling Through Risk Analysis and Life Cycle Cost Analysis

2006 ◽  
Author(s):  
Lahar Baliwangi ◽  
Kenji Ishida ◽  
Hidetoshi Arima ◽  
Ketut Buda Artana
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Risk Evaluation ◽  
System Modeling ◽  
Scheduling Algorithm ◽  
Maintenance Scheduling ◽  
Maintenance Cost ◽  
Penalty Cost ◽  
Maintenance Schedule ◽  
Optimal Maintenance

Ship maintenance scheduling management integrated with risk evaluation and Life Cycle Cost (LCC) assessment approach is developed in this research. It improves upon existing practices in arranging an optimal maintenance schedule by modeling operational and economical risks. This paper researches maintenance scheduling algorithm with explicitly consider risks associated with some operation problems such as operating schedule, routes, ship position, resources availability, and achievement of reliability-availability-maintainability (RAM) of system. Modeling of components RAM with their failures consequences results risk evaluation. Time value of maintenance cost, replacement cost, earning rate, and penalty cost are also simulated. When the system reaches the lowest level of lower limit reliability, one or more components should be maintained or replaced. Since maintenance task may interrupt the operation, to minimize time-to-maintain all possible events of maintaining other components at the same time will be evaluated together with resources availability. By researching those possibilities, constraining the risk, and based on LCC calculation result, an optimal maintenance scheduling can be then well established.

Optimal Maintenance Interval for Wind Turbine Gearbox

2011 ◽  
Vol 130-134 ◽  
pp. 112-118 ◽  
Author(s):  
Meng Na Deng ◽  
Yun Hai Yu ◽  
Liang Chen ◽  
Hong Shan Zhao
Keyword(s):  
Wind Turbine ◽  
Electric Power ◽  
High Speed ◽  
Wind Farm ◽  
Total Income ◽  
Average Income ◽  
Wind Turbine Gearbox ◽  
Optimal Maintenance ◽  
Distribution Of Components ◽  
Income Coefficient

A maintenance interval optimization model for wind turbine gearbox considering the maximization component profit per unit time was presented in this paper. First, the principle and configuration of gearbox were introduced, and the failure characteristic is analyzed as well as the failure rate distribution of components in gearbox. Then, the concept of component income coefficient λ and element utilizing rate per unit time U(t) were given. λ describes the proportion that component takes up the total income of wind turbine electric power sale，and U(t) represents the average income per unit time to wind turbine electric power sale during 0~t. Based on above two concepts the model of optimizing maintenance interval was proposed. Last, the paper used the proposed method to evaluate wind turbine gearbox maintenance interval in an actual wind farm. The simulating results indicates that the component profits per unit time for gears, intermediate speed shaft bearings and high speed shaft bearings increases by 16.88%, 30.26% and 32.59% respectively.

A reconfigurable model for implementation in the closing phase of a wind turbines project construction

2019 ◽  
Vol 27 (2) ◽  
pp. 502-524 ◽  
Author(s):  
Shakib Zohrehvandi ◽  
Mario Vanhoucke ◽  
Roya Soltani ◽  
Mehrdad Javadi
Keyword(s):  
Waiting Time ◽  
Wind Farm ◽  
Wind Farms ◽  
Queuing System ◽  
Content Type ◽  
Project Duration ◽  
Schedule Model ◽  
Project Construction ◽  
Implementation Time ◽  
Project Closure

Purpose The purpose of this paper is to introduce a reconfigurable model that is a combination of a schedule model and a queuing system M/M/m/K to reduce the duration of the wind turbine construction project closure phase and reduce the project documentation waiting time in the queue. Design/methodology/approach This research was implemented in a wind farm project. The schedule model deals with reducing the duration of the turbines closure phase by an activity overlapping technique, and the queuing system deals with reducing the turbine documentation waiting time in the queue, as well as reducing the probability of server idleness during the closure phase. Findings After the implementation of the model, the obtained results were compared to those of similar previously conducted projects in terms of duration, and the model was found effective. Research limitations/implications Project closure is an important and mandatory process in all projects. More often than not, this process is faced with problems including prolonged project duration, disputes, lawsuits, and also in projects like the implementation of wind farms, a queue of documents at closing stage may also cause difficulties in project closure phase. Originality/value The contributions of this research are twofold: first, a combination of project management and queuing system is presented, and second, a reconfigurable model is introduced to enhance the performance and productivity of the closure phase of the project through reducing the implementation time and reducing the turbine documentation waiting time in the queue, as well as reducing the probability of server idleness during the closure phase of the wind farm project.

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