September 29, 2025
AI-Assisted Green Project Screening: Designing the Optimal Renewable Mix with Confidence
Integrated renewable projects - combining wind, solar, hydrogen, ammonia and supporting infrastructure - promise cleaner energy at scale. They also create one of the most complex design challenges in the energy transition. Traditionally, early-phase screening of such projects demands months of multidisciplinary engineering. Teams labor through a handful of concepts, testing limited combinations of technologies, capacities, layouts and financial scenarios. The cost of that limitation is real: slow progress, hidden bias toward “safe” options, and reduced confidence that the selected concept is truly optimal.
Where traditional design stalls
In this environment, even the most capable project teams face the same barriers:
Sheer combinatorial complexity - thousands of potential configurations across generation, storage, conversion and export.
Fragmented data - equipment costs, production curves and layout constraints spread across multiple systems.
High stakes - every decision locks in long-term cost, carbon footprint, and delivery risk.
The result? Months of effort for a narrow slice of the option space, leaving value - and climate impact - on the table.
A better way: AI-assisted screening
WhiteSpace’s AI-assisted screening turns the early-phase design process from a linear study into a fast, evidence-based exploration.
Systematic option generation
The platform evaluates millions of possible combinations of wind, solar, green hydrogen, ammonia and offloading facilities - far beyond the handful a manual process can cover.
Integrated data and logic
Up-to-date cost and equipment data is pulled directly from client systems, applying engineering, sizing and cost logic while evaluating each configuration across technical, economic and sustainability metrics.
Transparent trade-offs
Project teams can quickly test scenarios, compare NPV, carbon footprint, schedule and risk, and build assurance workflows into every step.
What once required months can now be achieved in days, with far greater clarity and confidence.
Proven impact
Early projects using our AI-assisted screening capability have shown:
From months to weeks - freeing expert time and accelerating investment decisions.
Broader exploration - reducing bias and uncovering novel technology mixes and layouts.
Higher confidence - delivering robust, data-backed concepts ready for deeper engineering.
Built on the WhiteSpace platform
AI-assisted screening is powered by the WhiteSpace decision platform - our modular, human-first environment that combines advanced algorithms, domain logic and a deeply usable interface.
This means:
Fast, tailored deployment – GenAI-assisted configuration lets us adapt quickly to unique project requirements.
Scalable and evolving – from single-site pilots to multi-region energy hubs, the platform grows with your ambition.
Radically human – enabling engineers, planners and executives to engage with the same clear evidence base.
👉 Let’s talk about your renewable project pipeline.
Discover how AIS for Green Project Screening can help you move from months of manual studies to confident, optimal designs in days.