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What is OpenWindPower?

OpenWindPower, developed by Bentley Systems, is a specialized software focused on the analysis of offshore wind turbines, accommodating both fixed foundation and floating platform projects. This cutting-edge tool empowers users to evaluate a variety of design alternatives, project operational efficiency, and construct safe, cost-effective offshore wind energy structures. For fixed foundation projects, OpenWindPower offers an array of detailed analysis and design capabilities specifically designed for the foundations of offshore wind turbines, effectively accounting for the influences of waves, winds, and mechanical loads to assess fatigue and extreme conditions on the substructure as well as nonlinear soil foundations. In contrast, when addressing floating platform initiatives, the software features advanced modeling options that facilitate the development of complex 3D hydrodynamic and structural models, which are essential for withstanding the forces exerted by waves, currents, winds, and mechanical loads from turbines. Moreover, this functionality supports time-domain simulations that precisely calculate sea pressures and inertial forces, providing engineers in the offshore wind industry with a thorough structural analysis. By incorporating these sophisticated tools, OpenWindPower significantly improves the design process, fostering the development of more resilient and efficient solutions for offshore wind energy projects, ultimately advancing the renewable energy landscape.

What is DC-OM DigitalClone for Wind O&M ?

Sentient Science presents DigitalClone for Wind Operations and Maintenance (DC-OM), a validated software-as-a-service (SaaS) solution tailored for wind turbine operators. This innovative platform enables providers and original equipment manufacturers (OEMs) to collaboratively assess the remaining useful life (RUL) and health of essential systems and components within an asset. By enhancing predictive maintenance strategies, DC-OM aims to significantly lower operations and maintenance (O&M) expenses while simultaneously prolonging the lifespan of equipment assets. The versatility of DC-OM allows users to deploy it as an independent monitoring solution or as an enhancement to current condition monitoring systems (CMS) and diagnostic tools, ensuring it is optimized for both scenarios. Notably, DC-OM can autonomously identify damage in assets that are presumed to be healthy, providing actionable insights, and it also tracks the evolution of damage with comprehensive uncertainty quantification. The insights generated by DC-OM are driven by a proprietary fusion framework that leverages physics-informed machine learning, supported by a distinctive architecture for unifying data from multiple sources, making it a unique asset in the wind energy sector. This comprehensive approach not only empowers operators to make informed decisions but also fosters greater efficiency and reliability in wind turbine management.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$56,590 one-time payment

Pricing Information

Upon request
Fleet size dependent

Supported Platforms

Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Bentley

Date Founded

1984

Company Location

United States

Company Website

www.bentley.com/software/openwindpower/

Company Facts

Organization Name

Sentient Science Corporation

Date Founded

2001

Company Location

United States

Company Website

sentientscience.com

Categories and Features

Wind Farm

Not specified

Categories and Features

Fleet Management

Incident Reporting
Inspection Management
Maintenance Management

Maintenance Management

Predictive Maintenance
Preventive Maintenance

Preventive Maintenance

Condition Monitoring
Inspection Management
Predictive Maintenance

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