
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.
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