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BatchModelChain

Struct BatchModelChain 

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pub struct BatchModelChain {
    pub location: Location,
    pub surface_tilt: f64,
    pub surface_azimuth: f64,
    pub system_capacity_dc: f64,
    pub gamma_pdc: f64,
    pub inverter_capacity: f64,
    pub inverter_efficiency: f64,
    pub albedo: f64,
    pub transposition_model: DiffuseModel,
}
Expand description

Batch ModelChain – runs the full PV simulation pipeline on a time series using rayon for parallel processing.

This is the main entry point for production batch simulations. A typical TMY year (8760 hourly timesteps) completes in milliseconds.

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§location: Location§surface_tilt: f64§surface_azimuth: f64§system_capacity_dc: f64§gamma_pdc: f64

Temperature coefficient, e.g. -0.004

§inverter_capacity: f64§inverter_efficiency: f64§albedo: f64§transposition_model: DiffuseModel

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impl BatchModelChain

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pub fn pvwatts( location: Location, surface_tilt: f64, surface_azimuth: f64, system_capacity_dc: f64, ) -> Self

Create a new BatchModelChain with PVWatts-style defaults.

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pub fn with_gamma_pdc(self, gamma_pdc: f64) -> Self

Builder: set temperature coefficient.

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pub fn with_inverter(self, capacity: f64, efficiency: f64) -> Self

Builder: set inverter parameters.

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pub fn with_albedo(self, albedo: f64) -> Self

Builder: set ground albedo.

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pub fn with_transposition(self, model: DiffuseModel) -> Self

Builder: set transposition model.

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pub fn run(&self, weather: &WeatherSeries) -> Result<SimulationSeries, SpaError>

Run the full simulation on a weather time series.

Uses rayon for automatic parallelization across CPU cores.

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