Comprehensive asset management in Offshore Wind with ISO 55000

Author(s):  
J. Bonnesen
Author(s):  
Jannes van der Wal ◽  
Peter Eecen ◽  
Jasper Veldman

Megaprojects are large and complex projects that entail multi-actor management, non-standard technology and processes. This chapter aims to explore offshore wind projects (OWPs) as megaprojects, particular in the planning phase. Based on interviews with 26 experts from a variety of backgrounds in the offshore wind industry in The Netherlands, the risks and uncertainties in the planning phase of OWPs and key factors in the decision making process are explored. A framework is presented that depicts the planning phase of an OWP, as well as ten risks and seven uncertainties that are most common in an OWP. The role of the government and the project structure are further highlighted. The findings of this research allow practitioners to gain a better overview of the planning process of an OWP and can help to improve asset management decision making.


Author(s):  
Richard Williams ◽  
Christopher Crabtree ◽  
Simon Hogg

This paper considers the asset management of offshore wind farms and, in particular, how this will change as wind farms increase significantly in capacity and move to sites further offshore. Health monitoring, industrial operational structures, infrastructure, operations and maintenance and operational strategies are discussed based on the experiences and expectations of industry partners across the operational cycle of a wind farm. The exercise was undertaken through discussions with UK and European industrial companies and fellow academics to obtain their experiences to date, better define the challenges the industry expects to face in the coming years and establish the areas of significant research interest from an industrial point of view. This paper is of interest to both industrial and academic members of the offshore wind community who are interested in the challenges of future asset management strategy.


Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2484
Author(s):  
Giovanni Rinaldi ◽  
Philipp R. Thies ◽  
Lars Johanning

Operation and maintenance constitute a substantial share of the lifecycle expenditures of an offshore renewable energy farm. A noteworthy number of methods and techniques have been developed to provide decision-making support in strategic planning and asset management. Condition monitoring instrumentation is commonly used, especially in offshore wind farms, due to the benefits it provides in terms of fault identification and performance evaluation and improvement. Incorporating technology advancements, a shift towards automation and digitalisation is taking place in the offshore maintenance sector. This paper reviews the existing literature and novel approaches in the operation and maintenance planning and the condition monitoring of offshore renewable energy farms, with an emphasis on the offshore wind sector, discussing their benefits and limitations. The state-of-the-art in industrial condition-based maintenance is reviewed, together with deterioration models and fault diagnosis and prognosis techniques. Future scenarios in robotics, artificial intelligence and data processing are investigated. The application challenges of these strategies and Industry 4.0 concepts in the offshore renewables sector are scrutinised, together with the potential implications of early-stage project integration. The identified technologies are ranked against a series of indicators, providing a reference for a range of industry stakeholders.


Author(s):  
Giovanni Rinaldi ◽  
Ajit C. Pillai ◽  
Philipp R. Thies ◽  
Lars Johanning

Lowering Operation and Maintenance (O&M) expenses is pivotal in order to increase the penetration of offshore renewables in the generation of electricity. The combined use of Monte Carlo simulation and optimization algorithms has been explored to support the assets management and propose improved solutions in an efficient and automated way. However, due to the lack of operational experience and historical data, validation of these models, intended in the commonly known sense of comparison against observed data is often not possible. This generates concern about their ability to fully grasp and interpret the complex dynamics of an offshore renewable energy system. This paper presents a method to effectively calibrate, verify and benchmark computational tools for O&M strategies and asset management of an offshore wind farm, as an alternative to validation in absence of real data. A case study is used to test the quality of the results and compare them against those provided by similar tools built for the same purpose. The evaluation functions for an optimization of the O&M strategies are then benchmarked against these outputs in order to ensure that the solutions are consistent within the overall characterization and optimization framework. The requirements for acceptability of the models performance, as well as guidelines for analogous verifications using similar models, are derived. Hence, this work provides a basis to benchmark future models and increase confidence and credibility in computational tools for the O&M planning of offshore renewables.


Author(s):  
Juan Chiachío-Ruano ◽  
Mahé Hermile ◽  
Athanasios Kolios

Abstract The rampant growth of offshore wind energy in Europe and overseas is calling for advanced operation and maintenance simulation tools for optimal infrastructure asset management. The operational downtimes due to random failures, repair times or adverse weather conditions, greatly reduce the availability of the wind farm and therefore increase the Levelised Cost of Energy of this important source of renewable energy. This paper presents a sensitivity analysis to explore the factors influencing the most the operational availability of an offshore wind farm over a particular geographical area. The analysis is carried out using a newly developed open-access tool for operation and maintenance simulation named as “OpenO&M”. The failure rates of wind turbine components and the weather safety allowable limits for maintenance vessels emerge as critical parameters for wind farm availability, specially in remote areas.


Der Notarzt ◽  
2013 ◽  
Vol 29 (04) ◽  
Author(s):  
D Dethleff ◽  
M Stuhr ◽  
N Weinrich ◽  
M Nielsen ◽  
K Seide ◽  
...  
Keyword(s):  

2020 ◽  
Vol 78 (12) ◽  
pp. 1276-1285
Author(s):  
Shibu John A

Enterprise asset management (EAM) systems are used by asset owners and/or operators to manage the maintenance of their physical assets. These assets, including equipment, facilities, vehicles, and infrastructure, need maintenance to sustain their operations. An EAM system provides the means to have less unplanned downtime and extended asset longevity, which offers clear business benefits that improve the profit and loss statement and balance sheet. Particularly for capital-intensive industries, like drilling and exploration, the failure of on-time delivery of critical equipment or processes is disruptive and costs nonproductive time and customer satisfaction. Organizations understand these issues and employ an appropriate asset management system to engineer their asset maintenance and management. An EAM system is needed to manage the people, assets/equipment, and processes. EAMs are used to plan, optimize, execute, and track the needed maintenance activities with associated priorities, skills, materials, tools, and information. Similarly, nondestructive testing (NDT) is used as a tool for integrity assessment of assets in drilling and exploration. The main advantage of using NDT is that the item’s intended use or serviceability is not affected. The selection of a specific technique should be based on knowledge and skills that include design, material processing, and material evaluation. Validating the purpose of this paper, we emphasize the importance of optimizing the asset utilization and serviceability to enhance overall efficiency by integrating EAM software that manages assets, the operation management system (OMS) controlling the processes, and asset inspection management systems (AIMSs).


2019 ◽  
Vol 7 (02) ◽  
pp. 79
Author(s):  
Syarief Gerald Prasetya

 Company's goal is to maximize the value of the company. Value of the company is very important for the company because the company maximize the value it will maximize the welfare of shareholders. Efforts that can be done to maximize the value of the company in one of the company through asset management. Asset management companies is an activity which is very important because the management is based on the size of the success of the company during a certain period can be known. Asset management is a potential that is owned by organizations or individuals to achieve the vision, mission and goals, or particular. However, in maximizing the value of a company diisyaratkan a growth company that is a positive development of the company that occurred in a period of timeThe aim of this research is to analyse relevantly of assets management and growth of company, is have influence and relation, or not with value of company. If in research process found by inexistence of relation and influence from assets management and growth of company, so will searching that problem and searching the othe factors perhaps existence relation and influence to value of companiesThe research shows that in PT. Tambang Batubara Bukit Asam Tbk, influential assets management according to significant towards value of companies, that is with level significant as big as 0,012. While in PT. United Tractors Tbk, assets management not influential according to significant towards value of companies, that is with level significant as big as 0,576. In PT. Tambang Batubara Bukit Asam Tbk, influential growth of company according to significant towards value of companies, that is with level significant as big as 0,015. While in PT. United Tractors Tbk, growt of company not influential according to significant towards value of companies, that is with level significant as big as 0,870Result of evaluation in this research is that value of companies do not only be influenced by factor of assets management and growth of company, but there is other factor which can influence such as profitability factor and and efficiency costKey word: management assets, growth of company, value of company


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