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Generative Design of Power Plants
For solar, wind, hybrid and storage projects, Generative Design can combine multiple data sources and variables — such as GIS, topography, meteorological, grid, geotechnical, environmental and cost — to identify the best trade-offs between energy production, CAPEX, constructability, permitting risk and long-term performance
Optimizes turbine, panel, inverter, road, cabling and substation configurations according to resource, terrain and technical constraints
Minimizes earthworks, access roads, cabling, foundations and infrastructure needs by evaluating design-to-cost alternatives early.
Incorporates land, environmental, geotechnical, grid, permitting and constructability constraints into the design process
Automates scenario generation and comparison, enabling teams to evaluate more alternatives in less time
How NTT DATA helps
Identifies where generative design can create most value across solar, wind, hybrid and storage projects, from early-stage development to detailed engineering
Builds algorithms that generate feasible layouts based on technical, environmental, regulatory, cost and constructability constraints
Builds algorithms that generate feasible layouts based on technical, environmental, regulatory, cost and constructability constraints
Simulates energy yield, CAPEX, OPEX, carbon impact, permitting risk and construction complexity to compare design alternatives
Defines methodologies, roles, data standards and operating models to embed generative design into engineering and development processes
NTT DATA helps renewable energy companies transform plant design into a faster, more analytical and value-driven process. By combining engineering expertise, spatial data and optimization algorithms, organizations can evaluate more alternatives, select better trade-offs and reduce design, cost and construction risks before execution starts
Selection of layouts that better capture available solar or wind resource while considering real technical and environmental constraints
Reduction of unnecessary earthworks, cabling, roads, foundations and infrastructure through optimized spatial design
Automated scenario generation and comparison to accelerate early-stage design and engineering decisions
Clear evaluation of trade-offs between energy production, cost, constructability, permitting risk and long-term performance
Explore more scenarios, optimize trade-offs and improve project value from the earliest design decisions
