Archive for May, 2017

Rooftop wind turbines: haha or oho ?

May 28, 2017

A couple of weeks ago our national media  wrote about plans of the University of Luxembourg “going green” by planning to install PV panels (yawn…) and roof top wind turbines on its buildings at the Belval campus. As the following picture shows, there is only one high-rising building on the campus, the 83m high (18 floors) “Maison du Savoir” on the rather level building ground at approx. 300m asl.

I understand that an university must jump on the subsidy train of the day to bolster its income, and plan every fashionable “planet saving” measure keeping public money flowing in. Nevertheless, the (very old) idea of roof top turbines has never taken off, as simple physics and economics show it being more of a children’s play than a serious technology to harvest wind energy at most locations.

1. The numbers behind rooftop wind turbines

There is a very good report on this type of diminutive wind turbines at the Solacity website (link) titled “The truth about small wind turbines” which concludes to avoid wind turbines and install PV panels (what had to be expected from a PV manufacturer!). The report gives a lot of very clear data, which I will use in this blog.

Here is the formula to compute the yearly energy (in kWh) to be expected from a turbine with a rotor of a certain diameter and constant windspeed:

E [kWh/year] = 2.09* (diameter**2)*(windspeed**3)   with diameter in [m] and windspeed in [m/s]. The ** means “to the power”.

With a diameter of 4m and a constant wind speed of 3.5 m/s such a turbine would yield a meager 1434 kWh (value approx. 260 Euro). These data are for horizontal axis turbines, which do not look well on a roof and may cause more severe static problems due to the usual turbulent air flow as does a vertical axis turbine (VAWT, usually a variant of the Darrieus type). The following picture shows two VAWT’s on a building in Queensland (link):

The problem is that the efficiency of this VAWT type has been found to be much lower than that of a corresponding horizontal axis turbine, and material cost and fatigue was also higher (see here).

2. The problem with wind speed

All wind turbines have a cut-in minimum wind speed, below which they can not produce any energy. This usually lies around 3 to 5 m/s (10 to 18 km/h). There also is a maximum cut-off speed (around 25 m/s) where they must be stopped to avoid damage, but this is a rare situation in Luxembourg that we may ignore when speaking of collectable energy.

Now depending on your location, speeds above 3 m/s might not be exceptional: if your building is located in the high alps or at the sea-shore, this should not be a big problem. The real situation in continental Luxembourg is quite different. Let me give you the data measured at meteoLCD (Diekirch, about 218m asl) for the last 5 years:

The “avg” column gives the yearly average of the 17520 half-hour measurements (each half-hour measurement is the average of 30 measurements made every minute). In neither year does this average wind speed (in m/s) exceed the 3 m/s cut-in limit. The GT3 column gives the number of hours (out of the total of 8760) where the wind speed was greater than 3 m/s, and so on for the next columns.

Clearly only in about 1/5 of the time could any wind energy have been produced. The GT4, GT5 etc. columns show that the number of “fertile” hours drops rapidly (approx. by half for each step) and becomes virtually zero for wind speeds greater than 10 m/s. One should not forget that very often the rated power is given for a wind speed of 11 to 15 m/s.

The European Wind Atlas gives much more optimistic numbers, that in my opinion are the result from modelling and not observations:

According to the “Sheltered terrain” column the Belval wind resource is about 60% lower than the situation at Diekirch (for a measuring height at 50m above ground level; so keeping in mind that the meteoLCD anemometer is about 20m above ground level, and that a possible roof-top wind turbine installed on the “Maison du Savoir” is at 83m, my best guess is that the Belval data will not be vastly different from those at Diekirch, or at the best not more than the double. Using one of the available wind profiles for cities (link) one could speculate that at 83m height the wind speed would be about 60% higher that at 20m, which confirms my intuitive guess.

In this article the (US) author suggests that a typical payback period for a 1 KW roof top HAWT would be about 120 years, not counting repair and maintenance.

3. Conclusion

My reaction is rather “haha”. Do not expect any non trivial energy output from roof top turbines at the university of Luxembourg. The university roof top wind turbine will not be more than an expensive gimmick, fooling people into believing that they found a miracle solution for providing “clean” energy.

The funding authorities should at least insist on good observational wind speed data before paying for what seems to me more a publicity stunt than a scientific endeavor.

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Global land warming: an airport fingerprint?

May 12, 2017

svalbard_wxstation_runway

[Picture courtesy Wattsupwiththat shows Svalbard (Spitzbergen) runaway with weatherstation]

Prof. Fred Singer has an interesting article in the “American Thinker” where he suggests that the recent global warming given in the IPCC reports and many other data sources may be a fake, compared to the “real” global warming seen during the early period 1910 – 1942.

Let me just give a very short comment concerning the global land temperatures, as given by GISS Nasa; the numbers I use are from the CSV file (link), smoothed data column.

First look at this graph which shows how dramatically the number of weather stations has fallen, with rural stations taking the biggest toll:

Weather_stations_at_airports

Before the plunge, the percentage of weather stations located at an airport was ~40%, increasing to ~75% in 2000.

Now we all know that an airport has large surfaces of  dark tarmac and that the exhaust from the aircraft turbines is very hot air; so even if the meteorological sensors are mounted inside a Stevenson hut, at the regular height over grass covered soil, one should not be surprised that such an airport location will show warmer temperatures compared to a plain rural one.

Look here at the Findel airport in Luxembourg (courtesy Google maps): notice how the exhaust of the parked blue-tailed plane blows in the direction of the weatherstation  in the westerly wind conditions (which are the most frequent in Luxembourg).

Findel_weatherstation.jpg

Let us also remember that at most airports the traffic increased dramatically between 1970 and 2000. All these factors could produce a fake warming, on top of an eventual existing “real” warming”.

In the next figure I superposed the graph of global land temperature anomalies from GISS to the previous plot:

GISS_Land_and_weatherstations_airport

I calculate the 5 year warming for two periods where the percentage of airport based station is more or less constant: from 1970 to 1975 (less than 40% airport stations)  the warming is +0.04 °C, from 1995 to 2000 (about 75% airport stations) the warming is +0.20°C. The increase in atmospheric CO2 was +5.43 ppmV and +8.73 ppmV (Mauna Loa data).

The table resumes this situation:

land_warming_airport_CO2

So we have a land warming that is 5 times higher when the percentage of airport located stations has nearly doubled and the CO2 increase is less than double.  Do you really think that the location has no influence at all on the observed land warming, and that the CO2 increase is the sole cause?

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History:

14 May 2017: added pictures of weatherstations at Svalbard and Findel airports.