Pushing the Frontiers for Floating Solar Photovoltaics -- The Case for South America
Pith reviewed 2026-06-27 06:17 UTC · model grok-4.3
The pith
Floating solar photovoltaics in South America can deliver 1500 to 2000 kWh per kW annually with capacity factors above 20 percent.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Floating solar photovoltaic systems provide a land-efficient pathway to expand clean electricity access in energy-poor regions. South America has among the highest global FSPV potential at approximately 38.26 TWh per million acres of water surface. The techno-socio-economic framework applied to case studies in Nicaragua, Honduras, and Guyana shows estimated yields for 50 to 398 MW systems exceeding 1500 to 2000 kWh per kW annually with capacity factors above 20 percent, and competitive costs with land-based PV when accounting for avoided land use, shared hydropower infrastructure, and water benefits.
What carries the argument
The techno-socio-economic framework that integrates technical yield estimates with socio-economic factors, avoided land use, shared hydropower infrastructure, and water benefits to assess FSPV deployment.
Load-bearing premise
The techno-socio-economic framework and its input data accurately represent real-world conditions, costs, and benefits in the three case-study countries without major unmodeled barriers such as permitting or local water-use conflicts.
What would settle it
Measured annual energy yield from an installed floating solar system of 50 MW or larger in Nicaragua, Honduras, or Guyana falls below 1500 kWh per kW or shows capacity factors under 20 percent.
Figures
read the original abstract
Floating solar photovoltaic (FSPV) systems provide a land-efficient pathway to expand clean electricity access in energy-poor regions. South America has among the highest global FSPV potential (approx 38.26 TWh per million acres of water surface), yet deployment remains limited. This study presents a techno-socio-economic framework to assess FSPV for energy access, water security, and grid flexibility, with case studies in Nicaragua, Honduras, and Guyana. Estimated yields for 50 to 398 MW systems exceed 1,500 to 2,000 kWh per kW annually with capacity factors above 20 percent. At El Cajon, FSPV could significantly reduce emissions relative to fossil generation. Results show competitive costs with land-based PV when accounting for avoided land use, shared hydropower infrastructure, and water benefits. The framework also highlights co-location with hydropower and AI data centers, offering a scalable model for deployment in underserved regions.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript develops a techno-socio-economic framework to evaluate floating solar photovoltaic (FSPV) systems in South America, with case studies in Nicaragua, Honduras, and Guyana. It reports estimated annual yields of 1,500–2,000 kWh/kW and capacity factors >20% for 50–398 MW installations, competitive levelized costs of energy when including co-benefits such as avoided land use and hydropower integration, and a regional potential of approximately 38.26 TWh per million acres of water surface.
Significance. The study addresses an important topic of expanding renewable energy in energy-poor regions through land-efficient FSPV technology. If the underlying framework and data are sound, the results could provide useful insights for policymakers on deployment strategies, co-location opportunities with hydropower, and integration with data centers. The inclusion of socio-economic aspects alongside technical yields is a strength.
major comments (1)
- [Abstract and Methods] The abstract states specific quantitative results on yields (1,500–2,000 kWh/kW annually), capacity factors (>20%), and competitive costs but provides no equations, input data sources, assumptions for the 38.26 TWh per million acres figure, capacity factor calculations, or error analysis. The full techno-socio-economic framework is not detailed, making it impossible to assess or reproduce the central claims about performance and competitiveness.
minor comments (1)
- The manuscript could clarify the specific locations of the case studies within the three countries and provide references for the external data sources used in the framework.
Simulated Author's Rebuttal
We thank the referee for their constructive review and for recognizing the importance of the topic. We address the major comment on methodological transparency and reproducibility below.
read point-by-point responses
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Referee: [Abstract and Methods] The abstract states specific quantitative results on yields (1,500–2,000 kWh/kW annually), capacity factors (>20%), and competitive costs but provides no equations, input data sources, assumptions for the 38.26 TWh per million acres figure, capacity factor calculations, or error analysis. The full techno-socio-economic framework is not detailed, making it impossible to assess or reproduce the central claims about performance and competitiveness.
Authors: We agree that the abstract, as a concise summary, does not include equations, data sources, or assumptions. These elements are intended to appear in the Methods section. However, we acknowledge that the current description of the techno-socio-economic framework may lack sufficient explicit detail for full reproducibility and assessment. We will revise the manuscript by expanding the Methods section to include the specific equations for yield and capacity factor calculations, the input data sources, the assumptions and methodology behind the 38.26 TWh per million acres regional potential estimate, and any error or uncertainty analysis performed. revision: yes
Circularity Check
No circularity: claims rest on external data and unshown framework without self-referential reduction
full rationale
The paper states South America's FSPV potential as approx 38.26 TWh per million acres and presents yield estimates (1,500–2,000 kWh/kW/yr, CF >20%) from a techno-socio-economic framework applied to case studies, but the provided text contains no equations, fitted parameters, or derivations that reduce outputs to inputs by construction. No self-citations are invoked as load-bearing uniqueness theorems, no ansatz is smuggled, and no renaming of known results occurs. The framework is described at a high level without visible internal loops, making the derivation self-contained against external benchmarks for the purpose of this check. This is the expected honest non-finding for a descriptive modeling study.
Axiom & Free-Parameter Ledger
Reference graph
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