RunPowerModel is a wrist-based running power meter for Garmin watches, in the form of a data field that integrates seamlessly into your existing activity profiles. And before you start wondering, it is for free!
Advantages of RunPowerModel
It works on almost all newer Garmin sports watches (where those with an integrated barometric altimeter provide more accurate results)
It can be used as a wrist-only power meter, or in combination with a RunningDynamics device (Garmin's run pod, HRM Pro/Tri/Run belts...) for more accurate results
RunPowerModel has been thoroughly tested and works under various conditions - flat roads, uphill, downhill, and on technical sections. On the latter it even quantifies how technical it was (see below)!
For runners who also cycle and know their corresponding power output, the values calculated by RunPowerModel are comparable to that. The algorithm has been developed with great care and a physics background.
Since it's in the form of a simple data field, it nicely integrates into your existing activity profiles
On watches with sufficient memory capabilities, a variety of statistics are calculated.
It is fully customisable (backpack weight, averaging time scale, FTP settings...)
RunPowerModel is (now) for free!
Appearance of RunPowerModel on the watch
It was designed and tested to work under and automatically adapt to various conditions, including uphills and downhills of arbitrary inclination as well as technical trails. While many other solutions fail to provide reasonable results on uneven terrain, RunPowerModel is specifically designed to calculate meaningful power numbers also under these circumstances.
For runners who also cycle and know their corresponding power output, the values calculated by RunPowerModel are directly comparable to those.
Of course, the Power is not only shown on the watch display. After finishing an activity, you get detailed power-related workout statistics:
As already mentioned before, RunPowerModel is not only designed for those who like to run on the streets but especially also for trail runners. It even assesses how technical your trails were. This Trail Score is unique to RunPowerModel.
Just as it should be, RunPowerModel is fully customizable via its app settings. You can
add a backpack weight
set your Functional Threshold Power, either directly in W or via your threshold pace
adjust the averaging time of the displayed output
The Physics Behind RunPowerModel
There is no common standard for calculating a runner's power. Different running power meters rely on different inputs for their calculations, which can only capture a small fraction of the overall rather diverse running process. There are several approaches on how to combine them into a power number, and different power meters can thus yield largely deviating results.
The algorithm behind RunPowerModel corresponds to a self-developed semi-analytical physical model. This means that the components behind the final power number are all physically motivated, but some of its parameters are adjusted to yield reasonable results. The calculated number is designed to correspond to the mechanical power output provided by the athlete's metabolism, which is directly correlated with the body's metabolic effort.
The total power as calculated by RunPowerModel consists of the following individual components:
Periodic vertical power: This is referring to the jumps that are conducted at each step. It is calculated by using the runner's weight, cadence, and vertical oscillation (jump height). Since our muscles and tendons are very efficient in storing energy, only a certain fraction of the nominal value has to be continuously provided by the metabolism. RunPowerModel takes this into account.
Horizontal power: The horizontal power encompasses all the different components that are necessary to maintain a forward movement, such as movement of the arms and legs, mechanical friction during ground contact, etc.
Wind power: Even when it's windless, the airflow from the athlete's motion causes friction, which again needs mechanical power to be overcome.
Potential power: Lifting a body (such as your own) requires power since you need to work against the Earth's gravitation. Assuming that the altitude speed is correctly measured, this component itself is easy to calculate. The tricky part is that uphill running is correlated with the periodic vertical and the horizontal components, and therefore a simple sum of all components leads to a wrong total power number. This has carefully been studied during the development of RunPowerModel.
Trail power: Technical sections are harder to run than roads. RunPowerModel's algorithm uses a unique and new way of estimating this component to improve the power output on the trails.
The following diagram gives a few examples of what RunPowerModel's output looks like in various cases:
Running vs. Cycling Power - How Should they Relate?
As mentioned above, there is up to now no agreed standard on how to calculate running power. This stands in contrast to cycling where the major fraction of mechanical power ends up in the pedals, which can be measured. Since running and cycling are generally biodynamically different sports, it is often said that the power output of these two sports at the same metabolic effort can be quite different. And while some discrepancy is surely natural (also varying from athlete to athlete), I'm actually convinced that a running power algorithm that's adapted to work under different conditions should provide numbers similar to those on the bike. Why?
The biomechanic discrepancies between running and cycling get smaller during uphill running, and speed-hiking (without poles) at larger inclinations is actually quite similar to it. Just like when going up stairs, the leg movement and involved muscles are not that different. Given this large overlap between the sports under these conditions, some difference (let's say at the 10% level) is probably reasonable, but not much more.
Okay, so much for speed-hiking and uphill running, but what about the rest? The answer to that is consistency. A power meter should ideally give consistent results for the same metabolic effort under different conditions - if it does not, then it's automatically correspondingly less trustworthy.