Performance Simulation

Performance Simulation is the process of modeling how a solar PV system will generate energy over time by analyzing environmental inputs, system design parameters, equipment characteristics, shading conditions, and operational assumptions. It delivers a realistic forecast of energy production, system efficiency, and financial outcomes before installation.

In modern solar designing workflows, performance simulation is central to engineering accuracy, customer confidence, proposal quality, and long-term system reliability. Simulation tools help designers validate array layouts, evaluate shading impacts using Shadow Analysis, optimize electrical design, calculate system losses, and estimate ROI—key steps within professional project planning and analysis.

Key Takeaways

  • Performance Simulation predicts real-world solar energy output using detailed environmental and system data.
  • It underpins accurate design, proposals, and financial modeling.
  • Simulation reduces uncertainty, improves ROI, and supports better decision-making.
  • Every stakeholder—designers, installers, EPCs, and sales teams—relies on it.
  • Accurate results depend on high-quality shading data, equipment inputs, and assumptions.

What It Is

Performance simulation is a technical evaluation that predicts how much energy a solar PV system will produce under real-world operating conditions. It accounts for variables such as:

  • Solar irradiance and weather patterns
  • PV module characteristics
  • System orientation, tilt, and roof geometry
  • Shading impacts identified through Solar Shading Analysis
  • Inverter efficiency and clipping behavior
  • Cell temperature coefficient effects
  • Site-specific electrical and environmental losses

In solar engineering, performance simulation forms the backbone of energy modeling, proposal accuracy, and system optimization. It works closely with concepts such as Solar Layout Optimization, Stringing & Electrical Design, Auto-Design, and Bill of Materials (BOM).

How It Works

Performance simulation follows a structured modeling approach using hourly or sub-hourly weather data combined with detailed system parameters.

1. Input Collection

Designers collect all relevant inputs required for accurate modeling:

  • Project location (latitude and longitude)
  • Historical weather and irradiance datasets
  • Shading profiles generated through Shadow Analysis
  • System layout and array geometry
  • Module and inverter datasheets
  • Loss assumptions such as soiling, wiring, mismatch, and degradation

These inputs form the foundation for reliable simulations inside professional solar design software.

2. System Modeling

The software creates a digital representation of the PV system, including:

  • Array layout derived from Solar Designing tools
  • Tilt, azimuth, and orientation
  • Row spacing and mounting height
  • Ground Coverage Ratio (GCR) for utility-scale systems
  • AC/DC ratio and inverter sizing
  • DC and AC cable routing, often verified using the Voltage Drop Calculator

3. Irradiance & Shading Simulation

The model calculates:

  • Effective irradiance on each module
  • Hourly shading losses
  • Temperature-adjusted module output
  • Bifacial gains for systems using bifacial modules

This step ensures production estimates reflect real-world shading and environmental conditions.

4. Energy Output Calculation

Simulation engines apply:

  • Module I–V curves
  • Inverter efficiency curves
  • Electrical and thermal losses
  • System availability and downtime assumptions

The result is a time-series output:

Hourly → Daily → Monthly → Annual energy production

5. Performance Metrics Generated

Typical outputs include:

Types / Variants

1. Pre-Design Performance Simulation

High-level estimates used during early sales discussions and feasibility checks.

2. Detailed Engineering Simulation

High-accuracy modeling incorporating granular shading, electrical design, and loss assumptions.

3. Hourly & Sub-Hourly Simulation

Used in utility-scale projects where grid interaction, curtailment, and dispatch matter.

4. Degradation & Lifetime Simulation

Models 25–30 years of performance, accounting for module aging and component replacement.

5. Scenario-Based Simulation

Compares multiple system designs, such as:

  • Different inverter loading ratios
  • Alternative module wattages
  • Fixed-tilt vs tracking configurations

How It’s Measured

Performance simulation relies on standardized technical metrics.

Key Units

  • kWh — Energy produced
  • kWh/kWp — Specific yield
  • W/m² — Plane-of-array irradiance
  • °C — Module temperature
  • % Loss — Shading, soiling, wiring, mismatch

Core Formula

Energy Output (kWh) = Irradiance × System Efficiency × Performance Ratio

Performance Ratio (PR)

PR compares actual system output against the theoretical maximum under ideal conditions.

Practical Guidance

For Solar Designers

For Installers

  • Use simulations during customer consultations to set realistic expectations.
  • Show how roof pitch and orientation impact output using the Roof Pitch Calculator.

For EPCs & Developers

  • Run multiple scenarios to optimize LCOE and system yield.
  • Justify equipment selection in the Bill of Materials.
  • Produce bankable energy models for financing.

For Sales Teams

  • Convert simulation results into compelling Solar Proposals.
  • Use monthly energy charts and loss diagrams to improve close rates.

Real-World Examples

Residential Rooftop (6 kW System)

Performance simulation identifies shading losses, specific yield, and PR, helping homeowners understand payback using the Solar ROI Calculator.

Commercial Flat Roof (250 kW System)

Multiple layouts and AC/DC ratios are tested to minimize clipping and maximize annual output.

Utility-Scale Ground Mount (5 MW System)

Hourly simulations with tracking quantify long-term gains and support financing approvals.

Releated Terms

Win your next project in just minutes.

Connect with a specialist for personalized insights and support tailored to your solar business needs.
Book Demo
UX designer