This calculator estimates how long it will take a load of laundry to dry when it is hung on a line, rack, or balcony. It uses the difference between the wet and dry weight of your clothes, the surrounding weather, and the airflow around the fabric to approximate how quickly water can evaporate. The result is an indicative drying time, not an exact prediction, but it should put you in the right ballpark for everyday planning.
The model is built around three main ideas:
In practice, this means a small, light load on a warm, breezy, sunny balcony will dry much faster than a heavy load of towels on an indoor rack in cool, humid air. The calculator converts your entries into a simple evaporation rate and divides the total water to remove by that rate to estimate the total drying time.
The first step is to determine how much water your laundry is holding. If Wwet is the weight of the load right after the spin cycle, and Wdry is the weight of the same clothes when they are completely dry, then the mass of water to remove is:
Here, W is in kilograms (kg). For many everyday uses, you may not know the true dry weight. A common shortcut is to assume that after a good spin, the wet weight is roughly 1.8 to 2.2 times the dry weight for cotton garments, so you can estimate one from the other if needed.
The drying time is then approximated using a simplified evaporation model. We estimate the effective surface area of the fabric exposed to air as proportional to the dry weight, and we assume an evaporation rate that increases with airflow and decreases with humidity. A compact way to express the relationship is:
where:
The constant 0.1 m/s in the airflow term represents natural convection, which provides a small amount of air movement around the fabric even when the air feels still. Higher temperatures increase the saturation vapour pressure at the fabric surface, which effectively increases the k · A term in the model. In the background, the calculator adjusts its coefficient based on your temperature and sun exposure inputs to reflect that warm, sunlit fabric dries faster than cool, shaded fabric at the same humidity.
The output is an approximate number of hours your laundry may take to feel dry to the touch under the conditions you entered. It is not exact, because real-world drying is affected by many small details, but you can use it as a planning guide.
Some practical tips when reading the result:
Use the estimate as a way to answer questions like “Will this load be dry before I leave for work?” or “Do I have enough time to dry these clothes on a rack before evening?” rather than as a guarantee.
To see how the pieces fit together, consider a simple scenario. Suppose you have a mixed load of shirts and light trousers that comes out of the washing machine weighing 4.0 kg right after the spin cycle. When fully dry, the same clothes weigh 2.5 kg.
We will assume:
The mass of water to remove is:
For light to medium-weight cotton garments hung with good spacing, a rough effective surface area might be on the order of 1 m² per kg of dry clothes. With 2.5 kg of dry fabric, that suggests an effective area of about 2.5 m². The model then uses your temperature, humidity, airflow, and sun exposure to compute an evaporation rate. At 24 °C, 55% relative humidity, light breeze, and direct sun, that rate might correspond to a drying time in the range of about 2.5–4 hours.
If you take the same load indoors, everything else being equal but with air speed of 0.1 m/s (stagnant indoor air) and shade instead of sun, the calculation slows down. The estimated drying time might increase to something like 6–8 hours or more, which is why indoor racks often leave clothes damp well into the evening.
The table below shows some illustrative scenarios to help you compare your own result with typical situations. These are rounded ranges, not precise predictions, and assume a reasonably spaced load of mostly cotton clothing.
| Scenario | Load details | Weather & airflow | Estimated drying time |
|---|---|---|---|
| Indoor rack, small load | 2 kg wet, 1.2 kg dry; T-shirts and underwear | 20 °C, 60% RH, very low airflow, shade | 6–10 hours |
| Sunny, breezy balcony | 4 kg wet, 2.5 kg dry; mixed light clothes | 25 °C, 45% RH, 0.5 m/s airflow, direct sun | 2–4 hours |
| Cool, humid day outdoors | 3.5 kg wet, 2.0 kg dry; jeans and sweatshirts mixed | 15 °C, 80% RH, 0.3 m/s airflow, shade | 8–14 hours |
| Warm, overcast but breezy | 5 kg wet, 3.0 kg dry; family load on a long line | 23 °C, 50% RH, 0.7 m/s airflow, no direct sun | 3–6 hours |
| Small towel load indoors with fan | 3 kg wet, 1.8 kg dry; towels on a rack | 22 °C, 55% RH, 0.4 m/s airflow from fan, shade | 4–7 hours |
Use your own estimated drying time alongside these examples to judge whether your setup is unusually slow or fast. For instance, if the calculator suggests 10–12 hours for an indoor rack on a cool, humid day, that aligns well with the “Cool, humid day outdoors” scenario being similarly slow.
To keep the calculator simple and fast, several assumptions are built into the model. These make it useful for everyday planning, but they also limit how precisely it can match every real-world situation.
Because of these assumptions, you should treat the output as a guide. If timing is critical (for example, you must pack clothes for travel in a few hours), build in a safety margin beyond the predicted time and, if possible, increase airflow or move the drying location to improve conditions.
The underlying model is inspired by standard evaporation theory, including concepts similar to Dalton’s law of evaporation, and by typical measurements of how long laundry takes to dry under different household conditions. To keep the tool accessible, the physical details are condensed into a single empirical coefficient that has been tuned to match realistic drying times for common fabrics and line or rack setups.
It is not a research-grade simulator and should not be used in place of professional engineering tools or controlled experiments. Instead, it is designed to answer practical questions like:
If you are experimenting with ways to speed up drying, you can use the calculator repeatedly to compare scenarios—changing one factor at a time, such as airflow or humidity—to see which adjustments have the biggest effect on estimated drying time.
While the calculator helps you estimate drying time, a few simple changes can often reduce that time significantly:
You can reflect each of these changes directly in the calculator’s inputs—for example, by increasing the airflow value when you add a fan, or reducing the wet weight if you use a higher spin setting—then compare the new estimated drying time to your original scenario.