Utility-scale floating solar on reservoirs and water bodies worldwide. Generating clean electricity for direct use, or converting to green hydrogen and ammonia for sustainable energy export.
Leading the deployment of utility-scale floating solar worldwide
OceanSparx is dedicated to deploying utility-scale floating solar (BlueSpan) on reservoirs, lakes, and water bodies worldwide. We generate clean electricity that can be used directly or converted to green hydrogen and ammonia, creating sustainable energy solutions with significant environmental co-benefits including water conservation and improved water quality.
To become the global leader in floating solar deployment, enabling countries to achieve renewable energy targets while conserving precious water resources and creating economic value through electricity, hydrogen, and ammonia production.
Renewable Energy
BlueSpan Global Plan
Annual Generation Potential
Innovative energy generation for maritime operations
Modular, utility-grade floating solar arrays for reservoirs, harbors, and salt ponds. Low-cost, rapid‑deploy clean power near load centers.
BlueSpan generates utility-scale clean electricity from floating solar arrays, providing renewable power for industrial operations, grid export, or on-site conversion to hydrogen.
BlueSpan electricity powers on-site electrolysis to produce green hydrogen for industrial use, transport fuel, or ammonia synthesis for export.
Convert BlueSpan-produced hydrogen into green ammonia (NH₃) for cost-effective international export, leveraging existing chemical shipping infrastructure.
Utility-scale floating solar with integrated energy conversion
BlueSpan deploys modular floating solar arrays on reservoirs, lakes, and water bodies. Strict environmental guidelines ensure ≤15% water surface coverage while generating utility-scale renewable electricity with significant co-benefits.
BlueSpan floating solar at global scale with a strict ≤15% water‑surface coverage cap
Nameplate Capacity
Average Capacity
Annual Generation
Max Water Coverage
PV Raft Area
Water Area Needed
Hydrogen (SEC 43 kWh/kg)
Ammonia (NH₃ from H₂)
O&M Jobs (0.2/MW)
CO₂ avoided (0.4 t/MWh)
Example economics for BlueSpan (Australia detailed: 23.34 GWp, 44.24 TWh/yr)
PV Capex
Opex per Year
AUD/MWh (Price Deck)
Total Capex
ROI @ AUD 70/MWh
ROI @ AUD 80/MWh
ROI @ AUD 90/MWh
ROI @ AUD 100/MWh
Payback @ AUD 70/MWh
Payback @ AUD 80/MWh
Payback @ AUD 90/MWh
Payback @ AUD 100/MWh
Assumptions and calculation approach for published figures
Note: All figures updated as site assessments are completed and technology specifications are finalized. Environmental compliance and water resource protection remain paramount in all deployments.
Collaborating with water authorities, utilities, and energy developers worldwide
Partnering with water authorities and reservoir managers to deploy floating solar while delivering water conservation and quality improvements.
Working with utilities to integrate utility-scale renewable electricity generation and support grid decarbonization targets.
Collaborating with hydrogen and ammonia developers to supply clean electricity for green hydrogen production and export.
OceanSparx is backed by AegisMind — a multi-model AI research and discovery platform
AegisMind is OceanSparx's AI research engine. It orchestrates five frontier AI models (Claude, GPT, Gemini, Grok, Mistral) simultaneously — each independently generating hypotheses, then critiquing each other in adversarial debate, before formal verification with the Z3 theorem prover. Discoveries that survive this process are published at solver.press.
solver.press is the public window into the AegisMind discovery engine, publishing cross-domain scientific hypotheses generated, debated, and formally validated by the AI ensemble. Research teams can access full Experimental Validation Packages — including methodology, cost estimates, and dependency maps — for any published discovery.
Our latest publication, The Precision Tetrahedron: Loss Landscape Topology Across Number Formats and Multi-Target Drug Discovery (John Goodman — AegisMind Research, May 2026), reports a 42-phase study validating a model-size scaling law for mixed-precision neural network training and applying it to multi-target drug discovery. The framework identified EPTIFIBATIDE as a convergent dual-target candidate for KPC-3 carbapenem resistance and MSH3 ATPase — confirmed independently by three methods. All phases ran on Google v6e-8 TPUs via the Google TPU Research Cloud.
DOI: 10.5281/zenodo.20363636 · Code: github.com/AegisMindApp/precision-tetrahedron
AI Models in Ensemble
Experimental Phases
Drug Surrogate Fidelity
Ready to deploy BlueSpan floating solar? Contact us to learn more about utility-scale renewable electricity, hydrogen, and ammonia solutions.