This document summarizes the lifecycle of a wind farm project from initial feasibility studies through construction, operation and maintenance, and ultimately decommissioning or repowering at the end of the project's lifetime. It discusses key considerations and analysis needed at each stage, including resource assessment, environmental impact studies, financing, commissioning, and maintenance optimization. The document emphasizes analyzing component performance and fatigue over time to determine the best options for life extension, repowering, or decommissioning at the end of the typical 20-25 year project period. Key factors discussed include energy yield modeling, availability projections, and adapting operations to reduce risks from aging assets.
Advisian dynamic process simulation capability june 2019Advisian
Dynamic Process Simulation allows the prediction of not only how a system is expected to behave when it is operating at the targeted design point – it is capable of predicting how it will behave when away from its “design point”.
Skills development for the new Oil & Gas industryAdvisian
Intecsea's Brian McShane presents how to prepare for and support the potential opportunities arising in the Carribbean Community as a new deepwater basin.
How Material Science Helps Operators with End of Warranty InspectionsSentient Science
Learn:
How your fleet is performing and learn how to develop a component watch list over the next 6 months.
Preventative maintenance strategies to extend the life of your fleet beyond 20 years.
The amount of future repairs, components or gearbox exchanges that are needed at the end of your warranty.
An enhanced view of your end of warranty options using material science-based computational testing.
This is a unique webinar designed specifically for our customers that want to know more about the validation of our model. We put together this slide deck and discussion together to solely review our validations in the wind industry.
Advisian dynamic process simulation capability june 2019Advisian
Dynamic Process Simulation allows the prediction of not only how a system is expected to behave when it is operating at the targeted design point – it is capable of predicting how it will behave when away from its “design point”.
Skills development for the new Oil & Gas industryAdvisian
Intecsea's Brian McShane presents how to prepare for and support the potential opportunities arising in the Carribbean Community as a new deepwater basin.
How Material Science Helps Operators with End of Warranty InspectionsSentient Science
Learn:
How your fleet is performing and learn how to develop a component watch list over the next 6 months.
Preventative maintenance strategies to extend the life of your fleet beyond 20 years.
The amount of future repairs, components or gearbox exchanges that are needed at the end of your warranty.
An enhanced view of your end of warranty options using material science-based computational testing.
This is a unique webinar designed specifically for our customers that want to know more about the validation of our model. We put together this slide deck and discussion together to solely review our validations in the wind industry.
Cutting Aerospace Validation Costs in Half Using Computational TestingSentient Science
Learn how advances in computational testing in the aerospace industry lead to reduced cost and time for validations of new designs and modifications. Dr. Raja Pulikollu expands on the American Helicopter Society (AHS) International Vertiflite article "Testing the Digital Gearbox".
Use physics-based modeling and computational testing to:
-Reduce qualification costs associated with physical testing of design prototypes
-Accelerate product development cycle by virtual evaluations of design alternatives
-Enable life predictions for key components that are based on first principles and material science
-Expand the ability to validate design effectiveness under a wider variety of environmental and loading conditions
Comparing Replacement Components to Extend the Life of GearboxesSentient Science
Making the right decisions on the sub-component gears and bearings in your gearbox bill of materials is critical to maximize life. However, operators, OEMs, and suppliers face uncertainty of the life extension benefits of one component versus another without heavy investment into hardware testing. This presentation will outline how Virtual Supplier Qualification can help determine the best cost/benefit between suppliers for gearbox component replacements by leveraging High Performance Computing, multi-physics prognostic models, and simulations and data analytics.
Maintenance and outage strategies under NETA IRR/Innogy workshop, London, 2001Shaun West
This is the set of slides that were used to drive the workshop where the implications of the UK's then new power trading arrangements. It has many small case studies.
Take Control of Repowering – Be the One to Choose What’s Inside of Your MachineSentient Science
If you are considering repowering your wind turbines to take advantage of the PTC extension, we can tell you the projected life of your new gearboxes at a subcomponents level.
Learn How:
- The Importance of the Bill of Materials for your Individual Assets
- How to avoid costly downtime and loss of revenue with your newly repowered machine
- How to decide what gearbox and critical subcomponents to choose to optimize each asset
- The impact each individual component has on the life and power output of your repowered asset
View Webinar at:
http://sentientscience.com/resource-library/videos/take-control-repowering-one-choose-whats-inside-machine/
The Impacts of Uprating and Derating on Wind Turbine ReliabilitySentient Science
How can you know the impact of uprating and derating wind turbines?
Today, most OEMs offer uprating packages (GE PowerUp, Vestas PowerPlus, etc.) that allow for existing wind turbines to realize higher annual power production. The impact on reliability through derating or uprating is unknown through industry standard techniques. This has led to well under 20 year life of current wind turbine gearboxes.
Investigating the Impacts of Uprating or Derating for the GE 1.5MWSentient Science
Many wind turbine operators that own GE 1.5MW turbines are considering to either uprate (using e.g. GE PowerUp) or derate their GE turbine fleet. Unfortunately, the impact on reliability, especially on the gearbox, through uprating or derating is unknown using standard industry techniques. This results in uncertainties that do not allow the operators to estimate the financial impact of uprating or derating correctly.
Demonstration on How to Extend the Life a 1.5MW Class GearboxSentient Science
Sentient Science demonstrate it’s computational prognostics and life extension solution for the GE 1.5MW class gearbox with a discussion regarding up-tower component replacement options, impact of up-rating on gearbox life, and general failure rates off warranty.
The maintenance cost of wind farms is one of the major factors influencing the prof- itability of wind projects. During preventive maintenance, the shutdown of wind turbines results in downtime wind energy losses. Appropriate determination of when to perform maintenance and which turbine(s) to maintain can reduce the overall downtime losses sig- nificantly. This paper uses a wind farm power generation model to evaluate downtime energy losses during preventive maintenance for a given group of wind turbines in the en- tire array. Wakes effects are taken into account to accurately estimate energy production over a specified time period. In addition to wind condition, the influence of wake effects is a critical factor in determining the selection of turbine(s) under maintenance. To min- imize the overall downtime loss of an offshore wind farm due to preventive maintenance, an optimal scheduling problem is formulated that selects the maintenance time of each turbine. Weather conditions are imposed as constraints to ensure the safety of mainte- nance personnel, transportation, and tooling infrastructure. A genetic algorithm is used to solve the optimal scheduling problem. The maintenance scheduling is optimized for a utility-scale offshore wind farm with 25 turbines. The optimized schedule not only reduces the overall downtime loss by selecting the maintenance dates when wind speed is low, but also considers the wake effects among turbines. Under given wind direction, the turbines under maintenance are usually the ones that can generate strong wake effects on others during certain wind conditions, or the ones that generate relatively less power being under excessive wake effects.
Cutting Aerospace Validation Costs in Half Using Computational TestingSentient Science
Learn how advances in computational testing in the aerospace industry lead to reduced cost and time for validations of new designs and modifications. Dr. Raja Pulikollu expands on the American Helicopter Society (AHS) International Vertiflite article "Testing the Digital Gearbox".
Use physics-based modeling and computational testing to:
-Reduce qualification costs associated with physical testing of design prototypes
-Accelerate product development cycle by virtual evaluations of design alternatives
-Enable life predictions for key components that are based on first principles and material science
-Expand the ability to validate design effectiveness under a wider variety of environmental and loading conditions
Comparing Replacement Components to Extend the Life of GearboxesSentient Science
Making the right decisions on the sub-component gears and bearings in your gearbox bill of materials is critical to maximize life. However, operators, OEMs, and suppliers face uncertainty of the life extension benefits of one component versus another without heavy investment into hardware testing. This presentation will outline how Virtual Supplier Qualification can help determine the best cost/benefit between suppliers for gearbox component replacements by leveraging High Performance Computing, multi-physics prognostic models, and simulations and data analytics.
Maintenance and outage strategies under NETA IRR/Innogy workshop, London, 2001Shaun West
This is the set of slides that were used to drive the workshop where the implications of the UK's then new power trading arrangements. It has many small case studies.
Take Control of Repowering – Be the One to Choose What’s Inside of Your MachineSentient Science
If you are considering repowering your wind turbines to take advantage of the PTC extension, we can tell you the projected life of your new gearboxes at a subcomponents level.
Learn How:
- The Importance of the Bill of Materials for your Individual Assets
- How to avoid costly downtime and loss of revenue with your newly repowered machine
- How to decide what gearbox and critical subcomponents to choose to optimize each asset
- The impact each individual component has on the life and power output of your repowered asset
View Webinar at:
http://sentientscience.com/resource-library/videos/take-control-repowering-one-choose-whats-inside-machine/
The Impacts of Uprating and Derating on Wind Turbine ReliabilitySentient Science
How can you know the impact of uprating and derating wind turbines?
Today, most OEMs offer uprating packages (GE PowerUp, Vestas PowerPlus, etc.) that allow for existing wind turbines to realize higher annual power production. The impact on reliability through derating or uprating is unknown through industry standard techniques. This has led to well under 20 year life of current wind turbine gearboxes.
Investigating the Impacts of Uprating or Derating for the GE 1.5MWSentient Science
Many wind turbine operators that own GE 1.5MW turbines are considering to either uprate (using e.g. GE PowerUp) or derate their GE turbine fleet. Unfortunately, the impact on reliability, especially on the gearbox, through uprating or derating is unknown using standard industry techniques. This results in uncertainties that do not allow the operators to estimate the financial impact of uprating or derating correctly.
Demonstration on How to Extend the Life a 1.5MW Class GearboxSentient Science
Sentient Science demonstrate it’s computational prognostics and life extension solution for the GE 1.5MW class gearbox with a discussion regarding up-tower component replacement options, impact of up-rating on gearbox life, and general failure rates off warranty.
The maintenance cost of wind farms is one of the major factors influencing the prof- itability of wind projects. During preventive maintenance, the shutdown of wind turbines results in downtime wind energy losses. Appropriate determination of when to perform maintenance and which turbine(s) to maintain can reduce the overall downtime losses sig- nificantly. This paper uses a wind farm power generation model to evaluate downtime energy losses during preventive maintenance for a given group of wind turbines in the en- tire array. Wakes effects are taken into account to accurately estimate energy production over a specified time period. In addition to wind condition, the influence of wake effects is a critical factor in determining the selection of turbine(s) under maintenance. To min- imize the overall downtime loss of an offshore wind farm due to preventive maintenance, an optimal scheduling problem is formulated that selects the maintenance time of each turbine. Weather conditions are imposed as constraints to ensure the safety of mainte- nance personnel, transportation, and tooling infrastructure. A genetic algorithm is used to solve the optimal scheduling problem. The maintenance scheduling is optimized for a utility-scale offshore wind farm with 25 turbines. The optimized schedule not only reduces the overall downtime loss by selecting the maintenance dates when wind speed is low, but also considers the wake effects among turbines. Under given wind direction, the turbines under maintenance are usually the ones that can generate strong wake effects on others during certain wind conditions, or the ones that generate relatively less power being under excessive wake effects.
In this paper, we develop a flexible design platform to ac- count for the influences of key factors in optimal planning of commercial scale wind farms. The Unrestricted Wind Farm Lay- out Optimization (UWFLO) methodology, which avoids limit- ing assumptions regarding the farm layout and the selection of turbines, is used to develop this design platform. This paper presents critical advancements to the UWFLO methodology to allow the synergistic consideration of (i) the farm layout, (ii) the types of commercial turbines to be installed, and (iii) the ex- pected annual distribution of wind conditions at a particular site. We use a recently developed Kernel Density Estimation (KDE) based method to characterize the multivariate distribution of wind speed and wind direction. Optimization is performed using an advanced mixed discrete Particle Swarm Optimization algo- rithm. We also implement a high fidelity wind farm cost model that is developed using a Radial Basis Function (RBF) based response surface. The new optimal farm planning platform is applied to design a 25-turbine wind farm at a North Dakota site. We found that the optimal layout is significantly sensitive to the annual variation in wind conditions. Allowing the turbine-types to be selected during optimization was observed to improve the annual energy production by 49% compared to layout optimiza- tion alone.
Highlights of the Kuwait HVAC&R Conference 2017Swati Warang
A brief-overview of the highlights of the 2nd kuwait HVAC&R Conference, a confluence of ideas to improve HVAC system efficiency and implement best practices in construction.
Wind farm development is an extremely complex process, most often driven by three im- portant performance criteria: (i) annual energy production, (ii) lifetime costs, and (iii) net impact on surroundings. Generally, planning a commercial scale wind farm takes several years. Undesirable concept-to-installation delays are primarily attributed to the lack of an upfront understanding of how different factors collectively affect the overall performance of a wind farm. More specifically, it is necessary to understand the balance between the socio-economic, engineering, and environmental objectives at an early stage in the design process. This paper proposes a Wind Farm Tradeoff Visualization (WiFToV) framework that aims to develop first-of-its-kind generalized guidelines for the conceptual design of wind farms, especially at early stages of wind farm development. Two major performance objectives are considered in this work: (i) cost of energy (COE) and (ii) land area per MW installed (LAMI). The COE is estimated using the Wind Turbine Design Cost and Scaling Model (WTDCS) and the Annual Energy Production (AEP) model incorporated by the Unrestricted Wind Farm Layout Optimization (UWFLO) framework. The LAMI is esti- mated using an optimal-layout based land usage model, which is treated as a post-process of the wind farm layout optimization. A Multi-Objective Mixed-Discrete Particle Swarm Optimization (MO-MDPSO) algorithm is used to perform the bi-objective optimization, which simultaneously optimizes the location and types of turbines. Together with a novel Pareto translation technique, the proposed WiFToV framework allows the exploration of the trade-off between COE and LAMI, and their variations with respect to multiple values of nameplate capacity.
Green building concepts and good building practicesManohar Tatwawadi
The power sector must adopt the green building concepts and go for good building practices. In fact all industries need to go for the same. The same practices can also be adopted in all commercial as well as residential buildings.
PES Wind Magazine - The development of a MV power converter for FC wind turbi...Ingeteam Wind Energy
Having cost-optimal power converters is a must in order to survive in the competitive wind market following the costs reduction rate.
To continue improving the performance of the wind turbines, while maintaining or even increasing the reliability, having a deep knowledge of the technology is crucial for the power converter developments.
Based on the long experience in the wind industry and the deep knowledge about core components composing a power converter, Ingeteam applies a design procedure that allows optimizing the power converter solution, developing power converter products up to 15MW for offshore environments.
Organizations have the opportunity to reevaluate their business-
as-usual, reduce real estate costs, and move towards a more resilient, and sustainable environment, one that ensures employees feel safe at the workplace and have greater control over their daily life. Our team can help evaluate, design, and monitor an optimal workplace strategy that protects your people, profitability and productivity.
Advanced Software for Optimized Energy SystemsAdvisian
Meeting the need for resilient energy infrastructure requires accurate sizing and configuration of distributed energy systems (DES). Given the diversity of loads to serve, optimizing DES both technically and economically is a challenge of overwhelming complexity. The solution is advanced design tools capable of considering hundreds of thousands of scenarios in seconds. Learn about the latest in integrated techno-economic optimization for microgrids and other DES as presented by Tristan Jackson at #IDEA2019 in Pittsburgh, PA.
StepWise | Helping you make strategic decisions for your capital investmentsAdvisian
There's a need in the market to better understand the risks and opportunities of options early in project or business improvement investments. See how StepWise can help.
Chris Lovelock shares how portfolio management thinking is evolving along with available technology to optimise a portfolio for improved strategic value from capital.
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This presentation examines one facet of Human Behaviour and how attention paid to it enhances the ability of users to achieve and sustain performance excellence in terms of Plant Reliability and Safety
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With the popularity of electric vehicles (EVs) growing far faster than predicted, lithium will continue to be a hot commodity in 2018. To maximise return on investment and reduce your risk there are nine trade-off studies that can be undertaken to optimise your technical choices.
Safety and asset management are a corner stone to our industry that enables us to be successful. So how can we achieve zero
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Aerial Data Management and The Digital EnterpriseAdvisian
Broader industries have seen improved performance across the whole of asset lifecycle with the extensive application of digital technologies and an increase in the integration of information systems. We explain how.
Rising population + changing demographics = more education infrastructure needed. Craig Robinson discussed how asset recycling can be used in the education sector at the School Infrastructure Forum.
How does government and technology affect our retail electricity markets?Advisian
Rajiv Venkatraman explains how disruption in the retail electricity market has created a need to solve technological, economic and political challenges, as well as the ability to grasp opportunities.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
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Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Wind farm re-powering, life extension and decommissioning
1. Wind farm re-powering, life extension and decommissioning
Wind farm re-powering,
life extension and
decommissioning
Providing new energy solutions: UK
Tech Week, Turkey
16-18 February 2021
advisian.com
1
2. Agenda
• Lifecycle of wind farm
• Operations and maintenance (O&M) phase
• End of life
- Repowering
- Life time extension
- Decommissioning
Wind farm re-powering, life extension and decommissioning
2
3. We cover the whole wind farm asset portfolio from start…
Wind farm re-powering, life extension and decommissioning
Pre-feasibility
• Resource analysis
• Wind measurement campaign
• Site suitability and selection
• Desktop studies
• Grid connection reviews
• Market benefits and profitability
• Site access and transportation
of plant
• Preliminary layout and design
• Preliminary energy
yield assessment
Feasibility
• Initial financial modelling and
technology assessment
• Initial development schedule
and construction assessment
• Resource data analysis
• Environmental and
social assessments
• Hydrological and
geotechnical studies
• Layout design and optimization
• Energy Yield Assessment
or Annual Energy Production
• Network and connection studies
& modelling
• Tender design
• Civil/electrical and balance of
plant works
• Front-end engineering and design
Consent
• Planning application
• Environmental and social
impact assessments
• Transmission line route studies
• Technical environmental studies
and energy yield impact
• Stakeholder management
Financing
• Financial modelling (including
assessment of current market
incentives and policy)
• Lender’s advisor/engineer
• Owner’s engineer
• Technical advisor/consultant
• Procurement
3
4. … to finish. And can help you decide whether to repower,
extend or decommission at the end of normal project lifetime.
Wind farm re-powering, life extension and decommissioning
Construction
• Engineering, procurement, and
construction management
• Construction monitoring
• Owner’s engineer site rep
• Site calibration
• Technical advisor/consultant
• Lender’s advisor/engineer
• Discharge of planning conditions
Commissioning
and start-up
• Commissioning and start-up
services
• Plant testing and performance
assessment/
verification
• Power curve verification
testing (during operational
phase)
Operation and
maintenance
• Operational reviews
• Operation, maintenance and
site management services
• Health, safety, quality and
environment management
(HSQE) and auditing
• Environmental impact studies
• Asset/O&M optimization
Decommissioning
and repowering
• Repowering studies
• Life extension studies
• Decommission studies
• Site restoration
4
5. Project lifecycle risk profile
Wind farm re-powering, life extension and decommissioning
Project cycle
Risk of not
meeting objectives
Financial exposure
Level of project definition
Residual risk
Financial
Closure
100%
COD
• Site identification
(pre-feasibility)
• Feasibility phase
• Consent phase
• Project definition
and tendering
• Financing phase
Construction
Phase (1-year)
Operational and maintenance
(revenue) Phase (20-25 years)
Decommissioning,
repowering or life
extension (End of
Project Lifecycle)
5
7. Preparing for the wear and tear of wind turbines
Wind farm re-powering, life extension and decommissioning
We reduce the impact of
asset failures by analyzing
and identifying replacement
parts before it even
happens.
Machine
failure rate
Break in Normal operation Wear out
Individual
measurement
sample (sets)
Last measurement
(sets)
Time
The 'wear out period’ starts towards the end of
the normal project lifetime. However, this isn’t a
fixed period; it depends on the fatigue incurred
during its operational period as well as the
operations and maintenance strategy adopted by
the owner.
7
8. Using detailed high-speed data to predict the best time
to replace components to keep businesses going
Wind farm re-powering, life extension and decommissioning
3D rendering of
the graph
This graph shows a number of different vibrational channels
with identified abnormal signature frequencies.
Amplitude
Frequency in HZ
HS gear; 800, 1600, 2400 and 3200 HZ
IS gear; 192, 384, 576, 772, 1156, 1734 HZ
100HZ
LS gear; 59HZ
Not identified in this figure due to
space/scaling are:
Blade frequencies (<25 Hz)
Blade passage
Gearbox rotational frequencies (<100Hz)
Higher order harmonics
8
9. We analyze to forecast where fatigues can occur
using rainflow counting
Rainflow counting is a method used to count fatigue cycles
Wind farm re-powering, life extension and decommissioning
Probability
density
function
Power
spectral
density
Structural
model
Fatigue
modeler
Fatigue
life
9
10. Wind farm end of life: repower,
optimize or decommission?
Wind farm re-powering, life extension and decommissioning
10
11. Deciding on the best end-of-life option
Wind farm re-powering, life extension and decommissioning
Repowering involves
energy yield analysis
and studies to optimize
the configuration
Lifetime extension /
optimization involves
examining the risk
profile of the asset
Decommissioning
involves taking down the
wind farm, recycling as
much as possible, and
restoring the site
11
13. Full-service capability for developers and financial institutions
Wind farm re-powering, life extension and decommissioning
Proven methodology for
reducing uncertainties
using the Weibull
correlation technique
Detailed availability and
efficiency analysis
together with Probability
of Exceedance analysis
13
• Topographical data
• Annual energy
production of new
turbines
• Known wind resource
(environmental resource)
such as speed and
direction
• Trends over the last 20
years, speed, direction
and temperature
• Balance of plant
Make informed decision
regarding future
options after the plants
normal design life,
based on the data
collected in the last
20-years
14. Providing analysis of current and future
wind farms to understand the return
on investment
Wind farm re-powering, life extension and decommissioning
The topographical map shows the number of wind turbines
installed.
The yellow directional segments shows the direction of the wind
which is mainly coming from the west. It also shows the amount of
energy that the wind turbines can extract from the wind.
The red bars at the end of the yellow segment indicate the energy
lost due to the wake effect from the wind turbines upwind.
14
15. Optimizing the expected energy output based on historical
operations…
Using a probability of exceedance (PoE) curve to determine the expected production and thus the
financial viability of a wind farm beyond its normal lifetime.
Wind farm re-powering, life extension and decommissioning
Probability of exceedance
Net AEP vs probability of exceedance
For check P90/P50(10-YEARS):
15
16. Deciding on optimization and extension after 20 years
Wind farm re-powering, life extension and decommissioning
Mean time between failures of components including repair time
16
17. Designing the optimum approach to life extension
Graph showing that after 20 years (normal design life of wind farms) the wind farm can be continued to be
operated. This shows reduced availability either due to retiring some identified wind turbines or due to
operational constrains that will reduce fatigue.
Wind farm re-powering, life extension and decommissioning
Options for the owner:
1) Switch some turbines off if
O&M cost is too high
2) Continue to use turbines that
are operational and in good
condition (possibly with some
operational constrains)
3) Replace some targeted
components on identified
turbines.
0.880
0.900
0.920
0.940
0.960
0.980
1.000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
Availability
Year
Wind Farm Availabilty vs Time
Kilgarvan I Gneeves I Booltiagh I Knockawarriga I Mienvee Flughland
Kilgarvan II (10 x N90) Kilgarvan II (3 x N90) Kilgarvan II (V52) Lisheen I Owenreagh I Owenreagh II
Lisheen II KnockacummerI KnockacummerII Glentane Garracummer Glenduff
Booltiagh II (V90) Booltiagh II (E82) Booltiagh II (SWT) Loughaun North Gneeves II Glentane II
Knockawarriga II Knockawarriga III Kilgarvan III Seegronan Gronan Tieges
Year
Availability
17
18. Designing life of the asset by studying each component
and their efficiency through time
Efficiencies and available applied
Wind farm re-powering, life extension and decommissioning
We apply international
standards and guidelines in
combination with the
knowledge from our asset
management and O&M teams
to calculate future energy
production for new and existing
wind farms after their normal
20-year design life.
18
19. Long term temperature data
suggest increase in extreme
temperatures affecting future
energy production of wind
turbines. Temperature cycles are
fatigue cycles that need to be
included in the end of life
extension calculations.
Climate change affect the operation of the wind turbine
Wind farm re-powering, life extension and decommissioning
Figure 5-3: Temperature and de-rate curves 2.2MW. 0 TO 1.500masl
Wind speed at HH versus temperature curve
19
20. We know and understand the
relevant standards
Wind farm re-powering, life extension and decommissioning
We calculate the life extension of an asset based on:
• ISO 55001 of Asset Management
• IEC 61400-12-1 International Standard
We do this while addressing the full lifecycle of the asset.
The graph shows data
mining from a wind farm
site. We can use this
information to optimize
O&M configuration during
the normal operational life
of a wind farm as well as the
period beyond the normal
end of life.
Correlation sodar data
Denham;
July
2020
20
21. End of life opportunities
Wind farm re-powering, life extension and decommissioning
• Known resource > repowering and or life extension
- Same installed capacity with less turbines
- Lower Environmental and Social Impact Assessment (lower rpm
(visual, noise), less uncertainties, less development risk
• Known resource > repowering and or life extension
- Known fatigue life (Mean Time Between Failures and Mean To Repair)
- Little additional investment
- Reduce cut-out wind speed
- Extend by 10-15 years
21
22. Why is decommissioning the
last resort?
Wind farm re-powering, life extension and decommissioning
Decommissioning involves removing assets,
recycling and site restoration. This is usually
the last resort when repowering and life
extension are not viable options.
22
24. Find out more, contact:
Paul van Lieshout
Technical Director/SME – wind, solar and
hybrid power systems
paul.vanlieshout@advisian.com
Wind farm re-powering, life extension and decommissioning 24
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