Calculate average wind velocity












0














I've got an anemometer to measure wind speed.



Its ratio is $50Hz = 15.5m/s$, so my Arduino counts pulses in 3100ms, which should give a count of $100 = 10m/s$.



I can display this on a dashboard on the wall, but I'm more interested in an average.



(I'm just using this for fun, I'm not controlling the traffic on a bridge or in an airport)



But what makes more sense?
I can count pulses for $(19*3.1) = 59.8 text{seconds}$ and divide by 190 to get an average for 1 minute.
Or the same for 10 minutes.



Or I could have a memory of the last p samples so I add the sample to a register, and divide with p, then at Tp subtract it from the register again, so I get a running average over the last minutes.



I could also take a weighted average of the current value and the current average as the next current average, which would emulate the charging and discharging of a capacitor. Something like



$$overline{V} = frac{V + (n-1)overline{V}prev}{n}$$



Or should I take into the account that energy of the wind is proportional to the speed cubed?



So 1 minute of 10m/s and 1 minute of 20 m/s have the same energy of



$$ sqrt[3]frac{10^{3} + 20^{3}}{2} approx 16.5 $$










share|cite|improve this question


















  • 1




    The energy of the wind is proportional to the speed squared. The power of the wind is proportional to the speed cubed.
    – Acccumulation
    yesterday










  • So would it give more sense to calculate the RMS than the average?
    – Lenne
    yesterday






  • 2




    It depends on why you want an average. If you want to know how far a free-floating balloon might drift in an hour, you want average velocity. If you want to know how much electricity a wind turbine might generate in an hour, you want average power (I think--anyway not just average speed).
    – David K
    yesterday












  • What kind of average would be the right to determine if it was safe to cross a bridge in a storm?
    – Lenne
    yesterday










  • You might experiment with "exponential smoothing". It's easy to compute, flexible, and is often used to smooth time series. en.wikipedia.org/wiki/Exponential_smoothing
    – awkward
    yesterday
















0














I've got an anemometer to measure wind speed.



Its ratio is $50Hz = 15.5m/s$, so my Arduino counts pulses in 3100ms, which should give a count of $100 = 10m/s$.



I can display this on a dashboard on the wall, but I'm more interested in an average.



(I'm just using this for fun, I'm not controlling the traffic on a bridge or in an airport)



But what makes more sense?
I can count pulses for $(19*3.1) = 59.8 text{seconds}$ and divide by 190 to get an average for 1 minute.
Or the same for 10 minutes.



Or I could have a memory of the last p samples so I add the sample to a register, and divide with p, then at Tp subtract it from the register again, so I get a running average over the last minutes.



I could also take a weighted average of the current value and the current average as the next current average, which would emulate the charging and discharging of a capacitor. Something like



$$overline{V} = frac{V + (n-1)overline{V}prev}{n}$$



Or should I take into the account that energy of the wind is proportional to the speed cubed?



So 1 minute of 10m/s and 1 minute of 20 m/s have the same energy of



$$ sqrt[3]frac{10^{3} + 20^{3}}{2} approx 16.5 $$










share|cite|improve this question


















  • 1




    The energy of the wind is proportional to the speed squared. The power of the wind is proportional to the speed cubed.
    – Acccumulation
    yesterday










  • So would it give more sense to calculate the RMS than the average?
    – Lenne
    yesterday






  • 2




    It depends on why you want an average. If you want to know how far a free-floating balloon might drift in an hour, you want average velocity. If you want to know how much electricity a wind turbine might generate in an hour, you want average power (I think--anyway not just average speed).
    – David K
    yesterday












  • What kind of average would be the right to determine if it was safe to cross a bridge in a storm?
    – Lenne
    yesterday










  • You might experiment with "exponential smoothing". It's easy to compute, flexible, and is often used to smooth time series. en.wikipedia.org/wiki/Exponential_smoothing
    – awkward
    yesterday














0












0








0







I've got an anemometer to measure wind speed.



Its ratio is $50Hz = 15.5m/s$, so my Arduino counts pulses in 3100ms, which should give a count of $100 = 10m/s$.



I can display this on a dashboard on the wall, but I'm more interested in an average.



(I'm just using this for fun, I'm not controlling the traffic on a bridge or in an airport)



But what makes more sense?
I can count pulses for $(19*3.1) = 59.8 text{seconds}$ and divide by 190 to get an average for 1 minute.
Or the same for 10 minutes.



Or I could have a memory of the last p samples so I add the sample to a register, and divide with p, then at Tp subtract it from the register again, so I get a running average over the last minutes.



I could also take a weighted average of the current value and the current average as the next current average, which would emulate the charging and discharging of a capacitor. Something like



$$overline{V} = frac{V + (n-1)overline{V}prev}{n}$$



Or should I take into the account that energy of the wind is proportional to the speed cubed?



So 1 minute of 10m/s and 1 minute of 20 m/s have the same energy of



$$ sqrt[3]frac{10^{3} + 20^{3}}{2} approx 16.5 $$










share|cite|improve this question













I've got an anemometer to measure wind speed.



Its ratio is $50Hz = 15.5m/s$, so my Arduino counts pulses in 3100ms, which should give a count of $100 = 10m/s$.



I can display this on a dashboard on the wall, but I'm more interested in an average.



(I'm just using this for fun, I'm not controlling the traffic on a bridge or in an airport)



But what makes more sense?
I can count pulses for $(19*3.1) = 59.8 text{seconds}$ and divide by 190 to get an average for 1 minute.
Or the same for 10 minutes.



Or I could have a memory of the last p samples so I add the sample to a register, and divide with p, then at Tp subtract it from the register again, so I get a running average over the last minutes.



I could also take a weighted average of the current value and the current average as the next current average, which would emulate the charging and discharging of a capacitor. Something like



$$overline{V} = frac{V + (n-1)overline{V}prev}{n}$$



Or should I take into the account that energy of the wind is proportional to the speed cubed?



So 1 minute of 10m/s and 1 minute of 20 m/s have the same energy of



$$ sqrt[3]frac{10^{3} + 20^{3}}{2} approx 16.5 $$







average






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked yesterday









Lenne

1273




1273








  • 1




    The energy of the wind is proportional to the speed squared. The power of the wind is proportional to the speed cubed.
    – Acccumulation
    yesterday










  • So would it give more sense to calculate the RMS than the average?
    – Lenne
    yesterday






  • 2




    It depends on why you want an average. If you want to know how far a free-floating balloon might drift in an hour, you want average velocity. If you want to know how much electricity a wind turbine might generate in an hour, you want average power (I think--anyway not just average speed).
    – David K
    yesterday












  • What kind of average would be the right to determine if it was safe to cross a bridge in a storm?
    – Lenne
    yesterday










  • You might experiment with "exponential smoothing". It's easy to compute, flexible, and is often used to smooth time series. en.wikipedia.org/wiki/Exponential_smoothing
    – awkward
    yesterday














  • 1




    The energy of the wind is proportional to the speed squared. The power of the wind is proportional to the speed cubed.
    – Acccumulation
    yesterday










  • So would it give more sense to calculate the RMS than the average?
    – Lenne
    yesterday






  • 2




    It depends on why you want an average. If you want to know how far a free-floating balloon might drift in an hour, you want average velocity. If you want to know how much electricity a wind turbine might generate in an hour, you want average power (I think--anyway not just average speed).
    – David K
    yesterday












  • What kind of average would be the right to determine if it was safe to cross a bridge in a storm?
    – Lenne
    yesterday










  • You might experiment with "exponential smoothing". It's easy to compute, flexible, and is often used to smooth time series. en.wikipedia.org/wiki/Exponential_smoothing
    – awkward
    yesterday








1




1




The energy of the wind is proportional to the speed squared. The power of the wind is proportional to the speed cubed.
– Acccumulation
yesterday




The energy of the wind is proportional to the speed squared. The power of the wind is proportional to the speed cubed.
– Acccumulation
yesterday












So would it give more sense to calculate the RMS than the average?
– Lenne
yesterday




So would it give more sense to calculate the RMS than the average?
– Lenne
yesterday




2




2




It depends on why you want an average. If you want to know how far a free-floating balloon might drift in an hour, you want average velocity. If you want to know how much electricity a wind turbine might generate in an hour, you want average power (I think--anyway not just average speed).
– David K
yesterday






It depends on why you want an average. If you want to know how far a free-floating balloon might drift in an hour, you want average velocity. If you want to know how much electricity a wind turbine might generate in an hour, you want average power (I think--anyway not just average speed).
– David K
yesterday














What kind of average would be the right to determine if it was safe to cross a bridge in a storm?
– Lenne
yesterday




What kind of average would be the right to determine if it was safe to cross a bridge in a storm?
– Lenne
yesterday












You might experiment with "exponential smoothing". It's easy to compute, flexible, and is often used to smooth time series. en.wikipedia.org/wiki/Exponential_smoothing
– awkward
yesterday




You might experiment with "exponential smoothing". It's easy to compute, flexible, and is often used to smooth time series. en.wikipedia.org/wiki/Exponential_smoothing
– awkward
yesterday










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