In utility-scale solar design, row spacing is one of the most influential (and often misunderstood) parameters. Tighter spacing can maximise installed capacity and improve land use efficiency, but it also increases inter-row shading losses, particularly during low sun angles and winter months. Conversely, greater spacing reduces shading and boosts per-module energy yield; however, it may underutilise available land and increase balance of materials (BOM) and civil costs.
Finding the true optimum requires more than simple rules of thumb or fixed spacing ratios. Advanced PV layout optimisation must be supported by detailed shading analysis for solar, alongside robust energy yield simulation to accurately quantify these trade-offs over the full project lifetime. Site-specific factors including latitude, terrain, tracker type and height and ground albedo all play a critical role in determining the ideal row spacing strategy.
Importantly, row spacing also interacts with electrical design. Changes in layout can influence string lengths, inverter loading ratios and overall DC architecture, meaning optimisation cannot be carried out in isolation. A holistic approach ensures that gains in irradiance capture are not offset by electrical inefficiencies or increased losses elsewhere in the system.
Through accurate PV simulation and modelling, designers can identify the point where marginal gains in energy production outweigh the incremental costs of additional land and infrastructure. When integrated into a broader solar design optimisation process, this balance becomes a key driver in reducing LCOE.
Ultimately, effective PV system optimisation services ensure that row spacing decisions are driven by data, not assumptions, unlocking maximum value from every acre available.