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What happens to your pipeline if turbine costs jump 15%, or the discount rate climbs a full percentage point? Sensitivity studies in Portfolio test assumption swings like these across every project you're tracking, not just the one open in front of you.
A: A sensitivity study lets you flex a single assumption, like construction cost or the discount rate, across a defined range, and see exactly how that ripples through to outcomes like LCoE and IRR. The difference at the portfolio level is scale: instead of testing one project at a time, the same study applies across every park in your pipeline at once, and the results show up directly against the metrics you already compare in Portfolio, like LCoE and CAPEX/MWh.
Because every project already lives in the same platform, the comparison holds together. A 10% swing in CAPEX means the same thing whether you're looking at an onshore park in Poland or an offshore project in the North Sea, so results are comparable across markets and technologies.
A: Sensitivity studies currently cover the assumptions that move a business case most:
A permitting delay or a grid connection pushback doesn't just cost time, it changes the entire financial profile of a project. Lifecycle shift lets you model that directly, instead of rebuilding the business case from scratch every time a timeline slips.
A: Individual projects rarely move on their own. Interest rates, steel prices and inflation shift the whole market at once, and a single-project view can't tell you how exposed your pipeline is as a whole. Portfolio-level sensitivity studies close that gap: apply one what-if across every project you're tracking, and see immediately which ones stay robust and which ones don't.
Studies are also shared across your organisation. Once someone sets one up, whether it's a scenario for rising discount rates or a delay in grid connection timelines, the whole team works from the same comparable view, instead of everyone rebuilding their own version in a separate spreadsheet.
A: From the Numbers tab in Portfolio, create a new sensitivity study, give it a name, choose what you want to vary, and set the range. Toggle it on, and it applies straight to the numbers table across your whole portfolio. Toggle it off just as easily when you want to go back to your base case.
"We can run sensitivities and a wide range of scenarios across several projects, and the results are comparable for the different projects because we're doing it all in the same platform." — Lisa Scheele, Technical Case Manager Offshore Wind, EnBW
Sensitivity studies in Portfolio are available for Advanced Portfolio users, or upon request. If you'd like to see how they work on your own pipeline, reach out to your Vind AI contact.
Reach out below if you are interested in seeing a demo, asking a question or sharing feedback.
What happens to your pipeline if turbine costs jump 15%, or the discount rate climbs a full percentage point? Sensitivity studies in Portfolio test assumption swings like these across every project you're tracking, not just the one open in front of you.
A: A sensitivity study lets you flex a single assumption, like construction cost or the discount rate, across a defined range, and see exactly how that ripples through to outcomes like LCoE and IRR. The difference at the portfolio level is scale: instead of testing one project at a time, the same study applies across every park in your pipeline at once, and the results show up directly against the metrics you already compare in Portfolio, like LCoE and CAPEX/MWh.
Because every project already lives in the same platform, the comparison holds together. A 10% swing in CAPEX means the same thing whether you're looking at an onshore park in Poland or an offshore project in the North Sea, so results are comparable across markets and technologies.
A: Sensitivity studies currently cover the assumptions that move a business case most:
A permitting delay or a grid connection pushback doesn't just cost time, it changes the entire financial profile of a project. Lifecycle shift lets you model that directly, instead of rebuilding the business case from scratch every time a timeline slips.
A: Individual projects rarely move on their own. Interest rates, steel prices and inflation shift the whole market at once, and a single-project view can't tell you how exposed your pipeline is as a whole. Portfolio-level sensitivity studies close that gap: apply one what-if across every project you're tracking, and see immediately which ones stay robust and which ones don't.
Studies are also shared across your organisation. Once someone sets one up, whether it's a scenario for rising discount rates or a delay in grid connection timelines, the whole team works from the same comparable view, instead of everyone rebuilding their own version in a separate spreadsheet.
A: From the Numbers tab in Portfolio, create a new sensitivity study, give it a name, choose what you want to vary, and set the range. Toggle it on, and it applies straight to the numbers table across your whole portfolio. Toggle it off just as easily when you want to go back to your base case.
"We can run sensitivities and a wide range of scenarios across several projects, and the results are comparable for the different projects because we're doing it all in the same platform." — Lisa Scheele, Technical Case Manager Offshore Wind, EnBW
Sensitivity studies in Portfolio are available for Advanced Portfolio users, or upon request. If you'd like to see how they work on your own pipeline, reach out to your Vind AI contact.
Reach out below if you are interested in seeing a demo, asking a question or sharing feedback.
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Please reach out if you are interested in seeing a demo, asking a question or sharing feedback.
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