scholarly journals Determining Suitable Regions for Potential Offshore Wind Farms in Bandırma Bay using Multi-criteria-Decision-Making Method

2021 ◽  
Author(s):  
Samet ÖZTÜRK
Keyword(s):  
Decision Making ◽  
Wind Farms ◽  
Offshore Wind ◽  
Multi Criteria Decision Making ◽  
Offshore Wind Farms

Availability centred maintenance for offshore wind farms

2015 ◽  
Vol 21 (4) ◽  
pp. 403-418 ◽  
Author(s):  
Lijuan Dai ◽  
Marvin Rausand ◽  
Ingrid Bouwer Utne
Keyword(s):  
Decision Making ◽  
Operating Experience ◽  
Wind Farms ◽  
Offshore Wind ◽  
Special Focus ◽  
Engineering System ◽  
Maintenance Planning ◽  
Offshore Wind Farms ◽  
Content Type ◽  
Practical Information

Purpose – Maintenance planning is a complicated decision-making process that involves the major stakeholders and the main life-cycle phases of an engineering system. The purpose of this paper is to propose an availability-centred maintenance planning approach for offshore wind farms, with special focus on the early system design phase. Design/methodology/approach – The proposed approach is based on a stepwise procedure that integrates logistics consideration into reliability-centred maintenance. For each step, the essential methods for systematic analysis and documentation are introduced. Findings – Practical information from current offshore wind farms and lessons learned from relevant industries are included to exemplify and justify the implementation of the proposed approach. In a general way, the approach shows that valuable input can be provided to decision making about maintainability and maintenance planning. Furthermore, the approach facilitates the initial maintenance plan to be adjusted and improved upon as additional operating experience becomes available. Research limitations/implications – Offshore wind energy is still an industry in its infancy with an attendant high degree of confidentiality. There is scarcely any detailed practical information available for the production of a case study on this topic. However, the current paper’s theoretical basis may be applied to identify current and future knowledge gaps, for the development of more detailed guidelines as established in the further research. Originality/value – Maintenance planning of offshore wind farms is an area of current interest, although often the focus is on achieving cost reductions and not on the formal development of such a systematic approach as conceived in this paper.

Boundaries of Decision-Making Simulations in Operation and Maintenance of Offshore Wind Farms

2017 ◽  
pp. 123-134
Author(s):  
Dirk Bendlin ◽  
Gerrit Wolken-Möhlmann ◽  
Marcel Wiggert ◽  
Sean Parker ◽  
Jorge Marx Gómez
Keyword(s):  
Decision Making ◽  
Wind Farms ◽  
Offshore Wind ◽  
Offshore Wind Farms ◽  
Operation And Maintenance

scholarly journals A Decision-making Model for Corrective Maintenance of Offshore Wind Turbines Considering Uncertainties

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1408 ◽  
Author(s):  
Sathishkumar Nachimuthu ◽  
Ming J. Zuo ◽  
Yi Ding
Keyword(s):  
Decision Making ◽  
Wind Farm ◽  
Wind Farms ◽  
Offshore Wind ◽  
Offshore Wind Farms ◽  
Corrective Maintenance ◽  
Offshore Wind Turbines ◽  
Critical Resource ◽  
Decision Making Model ◽  
High Degree

Maintenance optimization has received special attention among the wind energy research community over the past two decades. This is mainly because of the high degree of uncertainties involved in the execution of operation and maintenance (O&M) activities throughout the lifecycle of wind farms. The increasing complexity in offshore maintenance execution demands applied research and brings forth a need to develop problem-specific maintenance decision-making models. In this paper, a mathematical model is proposed to assist wind farm stakeholders in making critical resource- related decisions for corrective maintenance at offshore wind farms (OWFs), considering uncertainties in turbine failure information.

scholarly journals A Decision-Making Tool for Planning O&M Activities of Offshore Wind Farms Using Simulated Actual Decision Drivers

2021 ◽  
Vol 7 ◽  
Author(s):  
Pietro D. Tomaselli ◽  
Martin Dixen ◽  
Rodolfo Bolaños Sanchez ◽  
Jacob Tornfeldt Sørensen
Keyword(s):  
Decision Making ◽  
Wind Farms ◽  
Offshore Wind ◽  
Computational Time ◽  
Offshore Wind Farms ◽  
Area Of Interest ◽  
Efficient Planning ◽  
Decision Making Processes ◽  
Cost Efficient ◽  
Actual Decision

Safe and cost-efficient planning Operation&Maintenance (O&M) activities for the turbines of Offshore Wind Farms is crucial for the offshore wind industry. The execution of the planned tasks depends on the workability at sea. Workability assessments aim to find time periods, called weather windows, during which the personnel can execute the job at hand safely. Traditionally, weather windows analyses are based on thresholds applied on relevant metocean conditions in the area of interest, commonly wave height, wave period and wind speed. In this way, tasks are planned in windows during which the forecast metocean conditions do not exceed the defined thresholds. This paper presents a numerical tool that provides weather windows based on more direct measures of workability, that is seasickness on board during the trip to the turbines and bow motions, which endanger crew transfers from vessel to turbine. When assessing weather windows, such parameters better describe the actual decision drivers in a real operational setting than mere metocean thresholds, which are, in practical cases, discretionally judged by the O&M operator upon experience. Therefore, the reliability of workability predictions can increase, leading to financial gains for the wind industry and safer environment for O&M operators. The paper shows an application of the tool, where a full O&M scenario is simulated. The scenario comprises the transit from the port to the offshore site, the work carried out on the turbine and the transit back to the port. In particular, the application highlights the key capability of the tool of calculating vessel motions, which are elaborated to produce weather windows. With its low computational time-demand, the tool aims to support the decision-making processes that produce short- and long-term O&M plans.

scholarly journals On modeling insights for emerging engineering problems: A case study on the impact of climate uncertainty on the operational performance of offshore wind farms

2018 ◽  
Vol 232 (5) ◽  
pp. 524-532
Author(s):  
Iain Dinwoodie ◽  
David McMillan ◽  
Iraklis Lazakis ◽  
Yalcin Dalgic ◽  
Matthew Revie
Keyword(s):  
Decision Making ◽  
Monte Carlo ◽  
Wind Farms ◽  
Offshore Wind ◽  
Energy Output ◽  
Offshore Wind Farms ◽  
Engineering Problems ◽  
Operational Decision Making ◽  
Climate Uncertainty ◽  
The Impact

This article considers the technical and practical challenges involved in modeling emerging engineering problems. The inherent uncertainty and potential for change in operating environment and procedures add significant complexity to the model development process. This is demonstrated by considering the development of a model to quantify the uncertainty associated with the influence of the wind and wave climate on the energy output of offshore wind farms which may result in sub-optimal operating decisions and site selection due to the competing influence of wind speed on power production and wave conditions on availability. The financial profitability of current and future projects may be threatened if climate uncertainty is not included in the planning and operational decision-making process. A comprehensive climate and wind farm operational model was developed using Monte Carlo operation to model the performance of offshore wind farms, identifying non-linear relationships between climate, availability and energy output. This model was evaluated by engineers planning upcoming offshore wind farms to determine its usefulness for supporting operational decision making. From this, consideration was given to the challenges in applying the Monte Carlo simulation for this decision process and in practice.

A Practical Approach to Risk Based Assessment and Maintenance Optimisation of Offshore Wind Farms

2007 ◽  
Author(s):  
Ujjwal R. Bharadwaj ◽  
Julian B. Speck ◽  
Chris J. Ablitt
Keyword(s):  
Decision Making ◽  
Risk Analysis ◽  
Wind Farm ◽  
Net Present Value ◽  
Optimal Solution ◽  
Wind Farms ◽  
Offshore Wind ◽  
Life Extension ◽  
Offshore Wind Turbine ◽  
Offshore Wind Farms

Offshore wind farm managers are under increasing pressure to minimise life cycle costs whilst maintaining reliability or availability targets, and to operate within safety regulation. This paper presents a risk based decision-making methodology for undertaking run-repair-replace decisions with the ultimate aim of maximising the Net Present Value (NPV) of the investment in maintenance. The paper presents the methodology developed for the risk based life management of Offshore Wind farms under the remit of the CORLEX (Cost Reduction and Life Extension of Offshore Wind Farms) project funded by DTI (Department of Trade and Industry, UK) Technology Programme on Renewable Energy. Unlike traditional approaches to decision-making that consider either the probability of failure of a component or the consequence of failure in isolation, a risk-based approach considers both these aspects in combination to arrive at an optimal solution. The paper builds a basic Qualitative Risk Analysis methodology to highlight high-risk components that are then investigated further by a Quantitative Risk Analysis. The risk is now quantified in monetary terms and the time of action — replacement or maintenance — indicated by the model is such that the NPV of the action is maximized. The methodology is demonstrated by considering offshore wind turbine tower as the critical component and corrosion as the damage mechanism.

Sign in / Sign up

Export Citation Format

Share Document