Creating different scenarios much faster and comparing them easily is one of Vind AI's most powerful features. Our scenarios functionality supports an unlimited number of scenarios and integrates technical and financial parameters, for a whole business case view of your projects.
Vind AI is designed around having the option of exploring many different scenarios, for both technical and financial performance. Within a project, you can create as many branches as you would like, with each then running as a new scenario. (We have users running 30+ scenarios for a project—but you can do even more if you want!).
We have built our scenario feature for speed. You can easily share technical design and specifications, wind data and financial assumptions across scenarios, so you can quickly test many scenarios of the same project.
Visualise wind park metrics side-by-side to assess different parks and business cases. Set any wind park as a baseline and inspect how it performs on your selected metrics in relative and absolute terms against other parks.
For any wind farm project, compare different technical options like turbine size, layout, IAC cable options or grid connection options by setting the different technical alternatives up side-by-side as scenarios. For each scenario in your comparison, you can evaluate both technical performance (like yield) and the financial performance.
For a given design within your wind farm, run scenarios and compare side-by-side to see how it performs under different assumptions. You can for example assess the effect of changing wake models, wind data or financial assumptions.
Across all types of scenario analysis within Vind AI, you can select the metrics that matter most to you. You can choose between a vast number of metrics, backed by the yield assessment, electrical power flow and financial analysis.
In Vind AI, automatic real-time updates means your whole team can work in parallel across the different scenarios. (And we have built in other collaborative features: You can for example easily share interesting findings from your scenario analysis with other project members.)
We make it easy to keep track of the status of all your scenarios. Our intuitive set-up shows clearly which scenarios are yet to be tested, which are current hypotheses now, and which ones have already been tested and discarded (and why). Features here include visualisations of the project history and commenting functionality.
One thing is to see the difference in number. It is even stronger when you can see it visually. All numeric metrics can be shown in a graph, either as a bar chart or investigate the correlation by plotting any metrics against each other. Your scenario analysis results can also be easily exported as spreadsheet-compatible data.
In Vind AI, scenario analysis across and within your wind projects is much faster than in traditional tools, with quick scenario set-ups and each scenario analysis running at super speed (powered by cloud computing), allowing you to complete many more scenarios, for a more robust project pipeline.
The results of your extensive scenario analysis is easy to keep track of in Vind AI, thanks to our smart branch structuring and scenario management, designed for making better (and faster) decisions from a large number of scenarios. By easily seeing which scenarios have been evaluated and discarded, and why a decision has been made, you (and all the decision-makers in your organisation) can be confident that your project decisions are grounded in data and analysis.
By running more scenarios faster and earlier in the project development process, you can spot risks sooner, and pinpoint how to mitigate them, if possible. (And if the risk is a deal-breaker, you can discard the project earlier, minimising sunk costs).
In Vind AI, scenario analysis across and within your wind projects is much faster than in traditional tools, with quick scenario set-ups and each scenario analysis running at super speed (powered by cloud computing), allowing you to complete many more scenarios, for a more robust project pipeline.
The results of your extensive scenario analysis is easy to keep track of in Vind AI, thanks to our smart branch structuring and scenario management, designed for making better (and faster) decisions from a large number of scenarios. By easily seeing which scenarios have been evaluated and discarded, and why a decision has been made, you (and all the decision-makers in your organisation) can be confident that your project decisions are grounded in data and analysis.
By running more scenarios faster and earlier in the project development process, you can spot risks sooner, and pinpoint how to mitigate them, if possible. (And if the risk is a deal-breaker, you can discard the project earlier, minimising sunk costs).
In Vind AI, your scenario analysis can simultaneously investigate the most important project parameters across both technical and financial performance.
In Vind AI, scenario analysis across and within your wind projects is much faster than in traditional tools, with quick scenario set-ups and each scenario analysis running at super speed (powered by cloud computing), allowing you to complete many more scenarios, for a more robust project pipeline.
The results of your extensive scenario analysis is easy to keep track of in Vind AI, thanks to our smart branch structuring and scenario management, designed for making better (and faster) decisions from a large number of scenarios. By easily seeing which scenarios have been evaluated and discarded, and why a decision has been made, you (and all the decision-makers in your organisation) can be confident that your project decisions are grounded in data and analysis.
By running more scenarios faster and earlier in the project development process, you can spot risks sooner, and pinpoint how to mitigate them, if possible. (And if the risk is a deal-breaker, you can discard the project earlier, minimising sunk costs).
In Vind AI, your scenario analysis can simultaneously investigate the most important project parameters across both technical and financial performance.
Speed up your workflows significantly by having your team work in parallel across different scenarios in Vind AI, a massive time-saver made possible by real-time syncing.
In Vind AI, scenario analysis across and within your wind projects is much faster than in traditional tools, with quick scenario set-ups and each scenario analysis running at super speed (powered by cloud computing), allowing you to complete many more scenarios, for a more robust project pipeline.
The results of your extensive scenario analysis is easy to keep track of in Vind AI, thanks to our smart branch structuring and scenario management, designed for making better (and faster) decisions from a large number of scenarios. By easily seeing which scenarios have been evaluated and discarded, and why a decision has been made, you (and all the decision-makers in your organisation) can be confident that your project decisions are grounded in data and analysis.
By running more scenarios faster and earlier in the project development process, you can spot risks sooner, and pinpoint how to mitigate them, if possible. (And if the risk is a deal-breaker, you can discard the project earlier, minimising sunk costs).
In Vind AI, your scenario analysis can simultaneously investigate the most important project parameters across both technical and financial performance.
Speed up your workflows significantly by having your team work in parallel across different scenarios in Vind AI, a massive time-saver made possible by real-time syncing.
With all project disciplines working together in the Vind AI platform, your scenario analysis will always automatically be based on the latest work from across your team. You can be confident that all underlying data and constraints that form the foundation for your scenario analysis is up to date, for scenario results you can trust.
