Energy Systems

Renewable Energy System Simulation

Simulation and techno-economic analysis of a rooftop solar PV array and an 87-turbine wind farm — from hourly generation to levelized cost of energy.

University of Toronto — MIE515, Alternative Energy Systems Fall 2024 Independent analysis
5,320 kWh
annual generation, selected rooftop PV array
24.1%
capacity factor, 87-turbine wind farm
$0.11/kWh
levelized cost of wind energy, base case
Data visualization of the simulation results: a solar day-output curve, a wind-speed Weibull distribution, and headline figures for annual PV output, turbine count, capacity factor, and levelized cost
Simulation results — the modelled solar day-curve and wind-speed distribution, with the headline figures.

Overview

Part of my minor in Sustainable Energy, this project modelled two real renewable systems end to end — rooftop solar and utility-scale wind — to see what they actually deliver and what the energy costs.

For solar, I modelled rooftop PV arrays in Energy3D, computing hourly output on representative days and across a full year for flat and tilted configurations, then swept the panel tilt to maximize annual yield. The selected four-panel array produced 5,320 kWh per year.

For wind, I fit a Weibull distribution to a year of measured wind-farm data, calculated per-turbine and 87-turbine annual energy and a 24.1% capacity factor, then built a levelized-cost model — arriving at $0.11/kWh with sensitivity analysis across project life, maintenance, and required rate of return.

Scope of work

  • Modelled rooftop PV arrays (flat and tilted) in Energy3D, hourly to annual
  • Swept panel tilt to maximize yearly generation
  • Fit a Weibull wind-speed distribution to measured farm data
  • Built a levelized-cost-of-energy model with sensitivity analysis

Methods & tools

Energy3DWeibull analysisExcel modellingTechno-economic analysis

Questions about this project?

I’m happy to walk through the drawings, data, or decisions behind any case study in an interview.