Vind AI’s Library functionality offers a central store of your wind project data, facilitating standardisation across your wind projects. With your data safely stored in one place, you don’t have to reinvent the wheel each time—and you don’t have to constantly chase down colleagues for data and information for each new project.
Easily manage your organisation’s resource catalogue and project assumptions, including turbines, foundations, cables, wake settings, energy losses, wind data resources, financial assumptions and GIS layers.
You no longer need to set up this core initial data and information separately for each new project. Library resources are easily shareable across projects, saving you time and ensuring consistency. By centralising and standardising resources, the Library ensures all projects use accurate and up-to-date resources. (Though you can of course adjust the resources at a project-level as you progress the project).
You can specify which resources should be available in which projects. This flexible access management makes it easy for each project team to get started with their analysis quickly. They have access to all the information they need, without drowning in superfluous data, as only relevant resources are made available to them.
Vind AI’s Library is designed to keep you in full control of sensitive data. Library resources have a separate access control system within Vind AI, offering greater flexibility in managing users and roles within your organisation (or with external partners). You can grant or restrict access to specific libraries independently of project-level permissions, allowing you to tailor access based on individual or team needs.
Ensuring your data is always secure is a top priority. The data stored in your Vind AI Library is encrypted in transit and at rest. We use scalable subprocessors, with redundant data centers that ensures high levels of data availability. Penetration tests are performed regularly by recognised third parties. Read more at our Data Security Policy here.
With core data points and analysis inputs saved where all team members who need them can access them, you don’t have to constantly chase down colleagues for data and information. You can just get on with your analysis, saving a lot of time (and eliminating frustration).
The tailored user management within Vind AI makes it easy to share relevant data and information not just within your own organisation, but also with external project partners, while safeguarding any confidential information.
By standardising analysis inputs and establishing organisational defaults, you can be confident your analysis results are based on the correct foundation.
With core data points and analysis inputs saved where all team members who need them can access them, you don’t have to constantly chase down colleagues for data and information. You can just get on with your analysis, saving a lot of time (and eliminating frustration).
The tailored user management within Vind AI makes it easy to share relevant data and information not just within your own organisation, but also with external project partners, while safeguarding any confidential information.
By standardising analysis inputs and establishing organisational defaults, you can be confident your analysis results are based on the correct foundation.
The data repository function makes it quick and easy to standardise your core data points and project assumptions across all your projects initially, but you can of course then easily tailor these as needed for each project phase, market and use case.
With core data points and analysis inputs saved where all team members who need them can access them, you don’t have to constantly chase down colleagues for data and information. You can just get on with your analysis, saving a lot of time (and eliminating frustration).
The tailored user management within Vind AI makes it easy to share relevant data and information not just within your own organisation, but also with external project partners, while safeguarding any confidential information.
By standardising analysis inputs and establishing organisational defaults, you can be confident your analysis results are based on the correct foundation.
The data repository function makes it quick and easy to standardise your core data points and project assumptions across all your projects initially, but you can of course then easily tailor these as needed for each project phase, market and use case.
By having instant access to relevant data and analysis inputs, your team can get started on evaluating sites and exploring different technical solutions for a project immediately, without wasting time on data gathering.
With core data points and analysis inputs saved where all team members who need them can access them, you don’t have to constantly chase down colleagues for data and information. You can just get on with your analysis, saving a lot of time (and eliminating frustration).
The tailored user management within Vind AI makes it easy to share relevant data and information not just within your own organisation, but also with external project partners, while safeguarding any confidential information.
By standardising analysis inputs and establishing organisational defaults, you can be confident your analysis results are based on the correct foundation.
The data repository function makes it quick and easy to standardise your core data points and project assumptions across all your projects initially, but you can of course then easily tailor these as needed for each project phase, market and use case.
By having instant access to relevant data and analysis inputs, your team can get started on evaluating sites and exploring different technical solutions for a project immediately, without wasting time on data gathering.
