Maximizing Solar Project Accuracy with PVcase Yield’s Digital Twin Technology

This webinar, hosted by PV Tech and PVcase, explores the transformative capabilities of PVcase Yield, a next-generation energy yield simulation tool. Attendees will gain insights into how PVcase Yield enhances accuracy in solar project assessments through its digital twin-based modeling approach.

Key highlights include:

• How PVcase Yield improves accuracy over traditional yield estimation tools
• Real-world benchmarking studies and case studies
• The role of 3D ray tracing and physics-based modeling in solar project finance and decision-making
• A comparison of PVcase Yield with industry-standard PVsyst simulations
• Practical applications for utility-scale solar developers and asset managers

Attendees will leave with a clear understanding of how this innovative software supports better financial forecasting, risk reduction, and optimization of solar project layouts.

Why Attend This Webinar?

In the fast-evolving solar industry, accurate energy yield simulations are crucial for financial modeling, project financing, and long-term operational success. Traditional modeling tools often rely on approximations that introduce uncertainty, leading to over- or under-estimations in energy production.

PVcase Yield revolutionizes solar performance modeling with:

Digital Twin-Based Modeling

PVcase Yield transforms complex PV plant data into highly detailed 3D models that integrate real-world environmental conditions. This approach ensures a more precise representation of site-specific factors, from shading and albedo effects to temperature variances.

Advanced Ray Tracing for Bifacial & Tracked Systems

Unlike traditional tools that rely on simplified assumptions, PVcase Yield employs state-of-the-art ray tracing algorithms to accurately simulate light interactions across bifacial and single-axis tracking systems​.

Physics-Based Accuracy Without Calibration

Leveraging IMEC’s patented bottom-up physics framework, PVcase Yield eliminates the need for manual calibration, reducing human error and increasing reproducibility in simulation results​.

Proven Validation Against Industry Standards

In benchmarking studies, PVcase Yield has demonstrated comparable—or in some cases superior—performance relative to PVsyst, with increased accuracy in capturing shading losses, terrain effects, and near-field obstructions​.

Faster Computation for Large-Scale Utility Projects

Using machine learning optimization, PVcase Yield reduces simulation time by up to 10x compared to traditional methods, making it scalable for large, complex PV projects​.

By attending, solar developers, EPCs, and asset managers will gain actionable knowledge on how to enhance project bankability, reduce uncertainty, and streamline decision-making with cutting-edge simulation technology.