How do I simulate a solar farm?

Open this page and use the live District Heating tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.

Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.

Can I use my own numbers?

Absolutely — every input is adjustable, and with data import you can drive a solar farm from your own measurements.

Use case · powered by District Heating

District Heating for a solar farm

Simulate a solar farm live in your browser. This runs the real District Heating solver — adjust the inputs, watch it respond instantly, and export the result. No install, no account.

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Thermal Resistance

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Composite Wall Heat TransferLive

R-value & U-value

Controls

Presets

Drywall (mm)

Insulation (mm)

Brick (mm)

Inside temp (°C)

Outside temp (°C)

Heat flows through a wall like current through resistors in series. Each layer's thermal resistance is its thickness over its conductivity; adding them gives the total R-value, and the heat flux is the temperature difference divided by it. Insulation, with very low conductivity, dominates the R-value — the steep temperature drop shows where it does its work.

▶ Run in Python

Data Inspector

Total R-value2.71 m²K/W

U-value0.37 W/m²K

Heat flux9.6 W/m²

Governing equation

R = \sum \frac{L _{i}}{k _{i} A} = 2.71 \frac{m ^{2} K}{W}, Q = \frac{Δ T}{R} = 9.6 \frac{W}{m ^{2}}

Reading this result: The insulation layer carries the most thermal resistance, so the temperature falls most steeply across it. A total R-value of 2.71 m²K/W lets 9.6 W/m² flow for this 26°C difference.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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LCOE

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Levelized Cost of EnergyLive

the true price per MWh

Controls

Presets

Capital cost ($/kW)

Capacity factor (%)

Discount rate (%)

Lifetime (years)

Fixed O&M ($/kW/yr)

LCOE spreads a power project's lifetime cost over every megawatt-hour it produces, letting wildly different technologies be compared fairly. It rewards high capacity factors and cheap capital, and punishes idle plants. The capital-recovery factor discounts future costs to today. It is the number that has made solar and wind the cheapest new power in most of the world.

▶ Run in Python

Data Inspector

LCOE$52/MWh

Per kWh5.2¢

Capacity factor25%

Governing equation

LCOE = \frac{C \cdot CRF + O}{C F \cdot 8760} \times 1000 = \frac{1200 \cdot 0.078 + 20}{2190} \times 1000 = 52 $/ MWh

Reading this result: At a 25% capacity factor the plant sits idle most of the time, so its capital is spread over few MWh — that thin denominator is what pushes LCOE up to $52/MWh.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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About this simulation

The full District Heating tool models a solar farm with the same numerics engineers and scientists use — running entirely client-side. Change any parameter and the result updates in real time, so you can build intuition, check a design, or teach the concept without spreadsheets or installs.

More you can do with District Heating

District Heating for a wind turbine District Heating for a home battery District Heating for an EV charger District Heating for a power grid District Heating for a heat pump District Heating for a gas turbine District Heating for a hydro dam District Heating for a nuclear plant

Other ways to simulate a solar farm

Solar PV System for a solar farm Wind Turbine Power for a solar farm Hydroelectric Power for a solar farm Heat Pump COP for a solar farm EV Range & Efficiency for a solar farm Battery Storage for a solar farm

Frequently asked questions

How do I simulate a solar farm?: Open this page and use the live District Heating tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.
Is it free?: Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.
Can I use my own numbers?: Absolutely — every input is adjustable, and with data import you can drive a solar farm from your own measurements.