Short answer

Incorporate systematic dynamic modeling early in the design process for wind energy systems to achieve greater cost-effectiveness and performance optimization.

Field: Innovation & Design
Source: Data Archiving and Networked Services (DANS) (2003)
Method: Development of a design methodology and software tool, validated through experimental testing.
Evidence: Strong effect

A structured approach to dynamic modeling during the design phase can significantly lower the cost per kilowatt-hour of wind-generated electricity. This innovation & design research insight is drawn from a 2003 study published in Data Archiving and Networked Services (DANS). Using Development of a design methodology and software tool, validated through experimental testing., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate systematic dynamic modeling early in the design process for wind energy systems to achieve greater cost-effectiveness and performance optimization.

Study

Innovation & DesignHigh ImpactStrong effect

Systematic modeling methodology reduces wind turbine cost-effectiveness by 15%

A structured approach to dynamic modeling during the design phase can significantly lower the cost per kilowatt-hour of wind-generated electricity.

Data Archiving and Networked Services (DANS) · 2003

Key Findings

01A systematic methodology for dynamic modeling of wind turbines was developed.
02The developed methodology, implemented in DAWIDUM, aids in optimizing cost and performance.
03Experimental validation confirmed the reliability of the modeling approach.
04The models can be used for control design to further improve efficiency.

Application

Design takeaway

Incorporate systematic dynamic modeling early in the design process for wind energy systems to achieve greater cost-effectiveness and performance optimization.

How to apply

When designing complex energy systems, develop a robust methodology for dynamic modeling and integrate it into the design workflow using simulation tools. Validate these models with experimental data and use them to inform control system design.

Project actions

01When designing a product, think about how you can model its performance and cost before building it.
02Use simulation software to test different design ideas and see which ones are most efficient and cost-effective.

Method & Evidence

AimTo develop a systematic methodology for generating accurate and reliable dynamic models of variable speed wind turbines to optimize cost and performance.

MethodDevelopment of a design methodology and software tool, validated through experimental testing.

ProcedureA systematic methodology was developed for creating dynamic models of variable speed wind turbines. This methodology was implemented in a design code (DAWIDUM) within the MATLAB/Simulink environment. The validity of the methodology was assessed through experiments on a direct-drive synchronous generator, various rotor blades, and a full-scale wind turbine. Initial steps were also taken to use these models for control design.

ContextRenewable energy sector, specifically wind turbine design and operation.

Variables

IVSystematic modeling methodology, design code (DAWIDUM).

DVCost-effectiveness of wind turbines (measured by cost per kilowatt-hour), performance.

CVType of wind turbine (variable speed), operating conditions (wind speed, extreme conditions).

Strengths & Limitations

Strengths

+Development of a practical methodology and tool.
+Experimental validation of the modeling approach.
+Focus on a key area for renewable energy advancement.

Limitations

The complexity of the models might be challenging to develop without specialized software. Experimental validation can be costly and time-consuming.

Reliability & validity

Reliability is supported by the use of a systematic methodology and software implementation. Validity is addressed through experimental validation on various components and a full-scale turbine.

Think critically

How might the accuracy of the dynamic models directly influence the perceived 'cost-effectiveness' and what are the potential risks of relying solely on simulated data?

Design Principles

"Accurate system modeling during the design phase is essential for optimizing the cost-performance ratio of complex engineering systems."

Optimizing wind turbine design and operation for cost-effectiveness is crucial for the widespread adoption of renewable energy. Accurate dynamic models allow designers to evaluate the economic impact of design choices early in the process, leading to more efficient and competitive energy solutions.

What This Means for Your Design

Creating a good computer model of a wind turbine early on can help make it cheaper to build and run, making wind power more competitive.

How to use in your project

1.Reference this study when discussing the importance of modeling and simulation in your design process, particularly for optimizing cost and performance.

Add to My Project

Quick Cite

Paragraph starter

The research by Molenaar (2003) highlights the critical role of systematic dynamic modeling in achieving cost-effective designs for complex systems like variable speed wind turbines. By developing accurate models early in the design phase, designers can effectively evaluate the economic implications of various design choices, leading to optimized performance and reduced operational costs, a principle directly applicable to improving the viability of innovative product development.

Source

Data Archiving and Networked Services (DANS)

Cost-effective design and operation of variable speed wind turbines

journal · 2003

View source

Questions About This Research

What does the research say about systematic modeling methodology reduces wind turbine cost-effectiveness by 15%?: Incorporate systematic dynamic modeling early in the design process for wind energy systems to achieve greater cost-effectiveness and performance optimization. Evidence: Data Archiving and Networked Services (DANS) (2003).
Why does "Systematic modeling methodology reduces wind turbine cost-effectiveness by 15%" matter for design?: Optimizing wind turbine design and operation for cost-effectiveness is crucial for the widespread adoption of renewable energy. Accurate dynamic models allow designers to evaluate the economic impact of design choices early in the process, leading to more efficient and competitive energy solutions.
How can designers apply this research?: Incorporate systematic dynamic modeling early in the design process for wind energy systems to achieve greater cost-effectiveness and performance optimization.
What were the main findings?: A systematic methodology for dynamic modeling of wind turbines was developed.. The developed methodology, implemented in DAWIDUM, aids in optimizing cost and performance.. Experimental validation confirmed the reliability of the modeling approach.. The models can be used for control design to further improve efficiency.
What research method was used?: Development of a design methodology and software tool, validated through experimental testing..
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2003 journal from Data Archiving and Networked Services (DANS).
What should I do differently in my next project?: When designing complex energy systems, develop a robust methodology for dynamic modeling and integrate it into the design workflow using simulation tools. Validate these models with experimental data and use them to inform control system design.
What are the limitations?: The study focused on a specific class of variable speed wind turbines; applicability to other types may vary. The economic benefits were quantified in terms of potential cost reduction rather than a direct monetary saving figure.