The Power-Speed Scenarios calculator is designed to facilitate comparisons of cycling power demands required to achieve a specified range of speeds,
or cycling speeds achievable given a specified range of power, with additional possibilities to vary key parameters such as CdA (aerodynamic profile),
course gradient, rider weight (Kilos), and wind strength (KPH).

The purpose of this calculator is to help you answer questions such as:

- How much power do I need to a ride a certain time trial at 40, 45, or 50 KPH?
- How much faster could I ride if I worked on my riding position and reduced my aerodynamic drag by 10%, or 20%, or 30%?
- How much faster could I ride if I focussed on my weight and lost 5 kilos?
- How fast can I expect to ride on 6,7, & 8 % climbs when I tackle my next Cyclo Sportive?

In common with the Power Components Calculator there are a number of required inputs representing the course, environment, and rider, although some of these have been
defaulted to typical values as a simplification. One or more of these parameter values can be varied through a range of possibilities.

### Inputs: Variable Parameters

- CdA. This is the metric of aerodynamic drag (
**C**oefficient of **d**rag x frontal **A**rea) applicable to the rider and bike combined.
The figure is expressed in metres squared. Typical cycling values are in the range .20 to .30
- Rider + Bike Weight (Kilos). Input total weight in kilos (e.g. 80).
- Average Grade (%). Input a gradient in percent (e.g. 3 is 3 percent, -2 is -3 percent).
- Temprature (Deg C). Input a temperature in degrees Celcius (e.g. 20)
- Wind Speed (KPH). Input the wind speed in Kilometes per hour (e.g. 5).
- Speed (KPH) or Power (Watts). Select which of these variables you wish to specify, the other will be calculated. (e.g. Speed 40 or Watts 250).

### Outpts: Required Power or Speed Achieved

If you are specifying a speed input, required power is calculated. If you are specifying a power input, speed is calculated. Use the "Optional Scenarios" boxes to specify variations of
variables and to study the effects in the result matrix.