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What is windPRO?

windPRO offers a diverse array of features, such as wind data analysis, calculations for energy yield, uncertainty assessment, site suitability evaluation, and the examination and visualization of environmental impacts. It also provides rigorous post-construction analysis of production metrics, with its functionalities organized into separate modules to cater to individual requirements. This adaptable software can facilitate the modeling of any wind energy project, from simple installations with a single turbine to large-scale developments that include multiple turbines and neighboring sites. Users can select from a vast catalog of over 1,000 approved wind turbine models to find the one that best fits their project needs. The energy output is heavily dependent on the wind resources available, and windPRO enables users to leverage wind resource maps to pinpoint the best locations for turbine placement. Additionally, the sophisticated OPTIMIZE module enhances the process of determining the most efficient turbine configurations to maximize energy production. With these extensive capabilities, windPRO not only aids in the planning stages but also plays a crucial role in the effective implementation of wind energy projects. Ultimately, windPRO stands out as a powerful tool for optimizing renewable energy strategies in the wind sector.

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

Pricing not provided

Pricing Information

Upon request
Fleet size dependent

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

EMD

Date Founded

1986

Company Location

Denmark

Company Website

www.emd-international.com/windpro/

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

Wind Simulation

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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