Vind AI for Solar & Battery hybrid projects

Vind AI Solar & Battery enables developers to design and evaluate co-located wind, solar and battery projects as one integrated system. Instead of stitching assets together late in the process, teams gain system-level and financial clarity from the start, enabling smarter, earlier investment decisions. A global offering, Vind AI Solar & Battery can be used anywhere in the world.

Apply for early access to Solar & Battery 

Solar & Battery is already available for our advisory panel. We will further open early-access trials to a select group of developers from mid-Q2. To ensure hands-on onboarding and close collaboration, access will be rolled out in small waves. Full public rollout is planned for Q3.

Site assessment for co-located wind, solar, and battery projects
Identify high-potential locations for co-located energy systems using integrated wind, infrastructure, grid, environmental, and topographical data in one environment. For priority sites, seamlessly incorporate financial evaluation to understand how system design choices affect business case strength, early enough to change direction when needed.
Project development for Solar & Battery projects
Develop wind, solar, and battery layouts together—accounting for terrain, land use, noise constraints, and grid considerations within a single system model. Explore different wind–solar–battery ratios and immediately see how design decisions influence financial outcomes. Collaborative workflows reduce redesign cycles and accelerate stakeholder alignment.
Portfolio assessment for Solar & Battery projects
Gain portfolio-level financial clarity across your wind and co-located energy projects in one platform. Key technical and financial metrics update automatically as engineering teams refine individual designs, giving development leaders real-time insight into project viability, capital allocation, and go/no-go decisions. Compare projects, prioritise regions, and focus development resources where probability of success is highest.

Platform

overview

01
The data you need
in one place, with 6000+ built-in data layers and specialist data partnerships
02
Advanced algorithms
for rapid analysis and optimisations across and within your wind projects
03
Collaborative tools
so your whole team can work in a single platform in parallel
04
A user-friendly interface
for fast onboarding and efficient working
05
Designed to fit you
built with an API-first architecture that makes Vind AI easy to integrate with your existing systems
06
An ever-evolving platform
constantly updated based on user insights

Key Solar & Battery product features

Features with hybrid-specific components
Co-location design
  • Design onshore wind, solar, and battery in one environment
  • Combine hourly energy production from wind and solar
Solar-to-wind ratio
  • Explore different wind–solar–battery configurations
  • Immediately see system-level trade-offs
Advanced battery optimisation
  • Run optimisation to find the optimal battery size
  • Find the best trading strategy and corresponding revenue gains
  • Use embedded historical market prices and future predictions
Co-location business case assessment
  • See how design decisions impact financial outcomes in real-time
  • Explore how BESS affects the project IRR and site-specific capture prices
Grid constraints and curtailments
  • Model export limits, tariffs, and curtailment risks
  • Understand how grid restrictions shape battery strategy and revenue
  • Optimise dispatch under real-world network constraints
General product features
Scenario modeling and comparison
  • Model as many scenarios as you want of the same wind park quickly and easily 
  • Easily compare both technical and financial aspects side by side
  • Compare sensitivities across your whole wind project portfolio to key factors like turbine cost or electricity price
Portfolio overview
  • Holistic portfolio view of all projects in development and in operation 
  • Instant access to key metrics and essential insights that are always up to date
Central data repository (‘Library’)
  • Store the company catalogue of turbine and cable types, and company defaults for financial, wind data and wake settings in one place to ensure it is always up to date and easy to reuse
APIs and integrations
  • Generate inter array cable design
  • Run power flow analysis to see losses, input to the yield analysis
  • Test project feasibility and infrastructure cost by generating a road network
  • Export / download statistics and all data in the platform
Visualisations
  • Photo montage
  • View the park in 3D from any location
  • High-resolution images of 3D visualisations, and report-ready export functionality

Built in collaboration with industry leaders

We shaped Solar & Battery in close collaboration with an advisory panel of developers, including xxxxx. They provided critical insights during the development phase of the platform, ensuring the platform addresses real-world challenges faced by developers.
By testing many sites, we increase the chances of finding and improving the best. The more we put in, the more we get out.
Henrik Hveding
Project Developer, Hafslund
We identified 3–4 areas in just one day — before, that would’ve taken several weeks. On top of that, now we’re much more confident in our projects.
Kristine Bentzen Foss
COO, Fenix Repower
Using Vind AI in the early stage of onshore project development increases the likelihood that a project becomes reality.
Mats Jønland
Business & Project Developer, Eviny
Vind AI helps us do a more thorough job early in the process. Project managers quickly get what they need — information that is crucial for us to decide whether to move forward with a project or not.
Solveig Ulseth
Head of Project Development, Aneo

Apply for early access to Solar & Battery 

Solar & Battery is already available for our advisory panel. We will further open early-access trials to a select group of developers from mid-Q2. To ensure hands-on onboarding and close collaboration, access will be rolled out in small waves. Full public rollout is planned for Q3.