6.48 mm diameter nozzle delivering 0.91 l/s to the runner which is rotating at 1084 rpm and generating 225 watts into the grid at an overall efficiency of 47%.

Thursday 25 February 2016

How significant is the contribution from a Powerspout ?

There are, by my reckoning, at least eight small hydro installations within a radius of 5 miles from where I live.  Most are in the 10 to 20 kW range and most are owned by farmers who have seen the economic sense of generating their own electricity.  Here are two of them:
This one is a twin jet Hydrolite turgo unit driving a vertically mounted induction motor giving 8 kW into the grid.


And this is an Ossberger crossflow turbine, again driving an induction motor as generator, with a full flow capability of 30 kW.

These machines have been put in for one reason: to earn money. The income they earn from the favourable government scheme which, until recently, we have had in the UK, means that such 10 to 20 kW installations can provide a very useful new income stream, - a source of farm revenue which is diversified away from the main source of agricultural income.

By comparison with these machines, my Powerspout looks almost like a plastic toy, and being rated at just 0.75 kW at full flow, it is not surprising that many people cannot believe it makes a useful financial contribution. Certainly in terms of income arising from the government 'Feed in Tariff' scheme, it is true the cash return is nothing like what my neighbours are getting.  But a very small turbine has a hidden advantage over its bigger cousins.

This week I received my electricity bill for the last quarter, the quarter which runs from Nov 19th to Feb 19th.   Here it is:






As you can see the total energy consumed was 289 units of day-rated energy and 89 of night-rated, making a total of 378 kWh.

I know its rather sad I do this but I've been keeping records of electricity consumption since we moved here in 1992. Plotting the consumption for each first quarter since 1994 gives this graph:


The figure for the latest quarter, 378 kWh, is seen at bottom right, and is the lowest first quarter consumption ever, lower even than the two previous years during which the Powerspout was operational.  (in case you're wondering why the consumption was so high from 1998 onward, the reason is a combination of having children of teenage years in the house combined with having elderly parents from 2003 onwards. One elderly parent is still with us in 2016.  Without her, the Powerspout years 2014, 2015 and 2016 would show even less grid consumption).

The hidden advantage of a small turbine is that its output is so small that all of it, or virtually all of it, gets to be used 'in-house'.  The same cannot be said of a larger turbine because a normal house would struggle to consume the continuous higher level of power output it can put out. So all of the small turbine's output earns a return twice over: once from the feed-in-tariff payments and again from offset of grid energy. Only a small proportion of a larger turbine's output earns 'twice over' in this way.
    
So whilst the financial benefit from feed-in-tariff income might be small for a Powerspout, the financial benefit from 'offset' grid energy is significant: as the bill above relates, this quarter has cost £71.72; the bill for a first quarter in a typical pre-Powerspout year such as 2013 (when electricity prices were very slightly cheaper) was £261.14, giving an offset value for this quarter of £190 (calc: 261- 71).

Factor in the much higher installation cost for a big turbine, which can be approximated at being £7,000 - £10,000 per installed kW, and the maths for a small turbine become even more attractive.

How significant is the contribution from a Powerspout then ? - I would say very.

Added later: for the sake of completeness, the Powerspout's generation for the same quarter was 1,697 kWh.  If all of this was used in-house, total consumption for the quarter was 2,075 kWh (calc: 1,697 + 378). The gain from offset was therefore greater than as calculated above, which used consumption in 2013 when the total was 1,736 kWh.

Friday 19 February 2016

More thoughts about inverters, power, speed and operating voltage.

Sometimes a writer writes just to get something off his chest.  Nothing could be more true of this blog post.  
I've still been mulling over the matter of understanding what is going on when my Powerspout generates electricity: 

  • Why does it settle at a particular speed; 
  • Why does the operating voltage settle at a particular point; 
  • Why do speed and operating voltage change with different levels of power output; 
  • How does the inverter control the output of the alternator; 
  • How does the inverter have an effect on the speed of the pelton; 
  • How significant is it if the system is not operating at the "sweet spot" speed.


If these are not questions that have ever kept you awake at night, this post is not for you.  Skip it and I'll try to write something more engaging next time.

For those as seriously obsessed as I find myself to be, see if you can follow my line of thought below.  I must give full credit to Hugh Piggott at Scoraig Wind for his corrections of my earlier efforts to articulate understanding in these matters, and by his corrections leading me on to a more clear-headed grasp; and also to "Flux" who writes on the Fieldlines discussion board and who has been giving me personal tuition to improve my comprehension.  These credits mentioned, any errors or plain wrong reasoning below are entirely mine.


  1. A Powerspout in operation is a system in steady state; the speed is steady; the operating voltage is steady; the power output is steady.
  2. The steadiness of this steady state happens because the energy available for conversion to electricity is un-altering; it is un-altering because for a water turbine having fixed nozzles, the flow does not change and neither does the net head.  
  3. Fundamentally the steady state depends on an equilibrium being established between the torque output of the pelton and the torque requirement of the alternator.  
  4. Not all the torque output of the turbine is available for generation of electricity.  Some is taken up in overcoming rolling resistance in bearings and some in overcoming ‘windage’: - the loss incurred as the pelton turns through the fog of spray inside the pelton housing, but since these losses are constant, the balance available to the alternator remains constant.
  5. For an alternator whose output is fed to a grid tied inverter, this torque equilibrium demands that the alternator’s torque requirement be manipulated until it matches the torque available from the pelton, or more precisely that it matches the torque left over for the generation of electricity after bearing and windage losses are subtracted.
  6. Such manipulation is carried out by an algorithm within the inverter. The algorithm can be either one which seeks the maximum power point (mppt mode) or one which ‘commands’ how much current is drawn from the alternator by reference to the voltage the alternator is producing (table mode). 
  7. Whichever mode is employed, manipulation of the alternator torque is not without effects on the torque output and rotational speed of the pelton: the manipulation  actually changes that which it is trying to match. This comes about, not because of any change in the basic parameters, flow and head, which are respectively the primary determinants of torque and speed, but because the efficiency of the pelton in converting flow and head into useful torque is optimal at a certain rotational speed.  When the alternator imposes load on the pelton it changes the pelton's rotational speed, and this change, by moving the speed away from (or towards) the optimum speed, in other words improving or degrading the pelton’s efficiency, will have the effect of changing the pelton’s torque output.
  8. So the steadiness of the steady state comes about by being the end point of a process of accommodation, between on the one side the alternator functioning under the influence of the inverter, and on the other side the pelton, which itself is ever responding to changes in the alternator. In effect there is a continuously operating feed back loop which comes eventually to settle at a point giving constant speed, constant voltage and constant power output.
  9. The time it takes to reach this point varies depending which algorithm the inverter is using: mppt mode can take tens of minutes, much depending on the make of inverter, whilst turbine mode takes less than a minute.
  10. Apart from the time  factor, another difference between the modes is that the point at which mppt mode settles should be the point where the rotational speed of the pelton is optimal.  It should truly be the ‘sweet spot’ for the system. Why - because it should be, by definition, the maximum power point, the point at which pelton efficiency is greatest and most power is extracted from the system’s head and flow. 
  11. But if the algorithm is table mode, there is no such expectation.  The steady state rpm may, and almost certainly will, settle at a figure which is off from the ideal speed and the effect of this will be to make the system as a whole less efficient: it will generate less into the grid than the prevailing flow and head are capable of.  It will not be operating at the ‘sweet spot’ speed.
  12. Two things need to be said to qualify these last mentioned differences between the two modes, leading to a deduction from the second:                                                                                                 (i) MPPT mode was devised to extract maximum power from solar panels.  There is a huge gulf between manipulating voltage and current from a photo-diode and manipulating the same parameters from a rotating generator. The complexities which apply to a pma alternator when it comes under load make it very different from a photo-diode, such that it may not be the case that the true maximum power point gets to be identified. Bench tests done by EcoInnovation do, however, lend support to mppt mode seeming to function with a pma in a satisfactory way.         (ii) The apparent draw back of table mode settling on a rotational speed which is not optimal may not be as dire as it might seem.  The fall-off in efficiency for a pelton turbine operating either above or below its optimum speed is not great: just a 3% fall in efficiency for operating 15% away from its optimum speed. So if the equilibrium point settles where operating speed is not further away than +/-15%, the loss in generating capacity will be slight. There will still only be a loss of 5% of attainable power when operating speed is 25% below optimal speed.
  13. The deduction from this last point is that the one power curve programmed into a table mode inverter can probably be used to control turbine speed across a range of flows, without as has been suggested, the need to program in a new curve for each new flow regime.  As long as the output voltage of the pma falls broadly within the range of input voltage that the inverter is programmed to expect, the one power curve will cope with a range of flows albeit by fixing rotational speed differently for different flows.  So long as the different speeds are within + 15% and - 25% of optimal speed, the result will be acceptable.
  14. Ensuring that the output voltage of the pma falls broadly within the range expected by the inverter is not an issue: it is the purpose of the EcoInnovation calculator tool to predict what the optimal rotational speed will be for a pelton at a site with a given head, and then to suggest which SmartDrive stators will give an output voltage of a chosen value at that rotational speed.
Well, that's got that off my chest: where I am at the moment in my understanding. But it could all change in the future ! 

For any one reading this far and wanting more, there is a description in the comments section following this earlier postof what happens in a permanent magnet alternator to make the voltage rise as power output increases be less than would be expected from the increase in operating rpm; the piece includes definitions of the various terms used to describe the effects seen.



Monday 1 February 2016

More on moisture

Eleven weeks ago, I wrote about Managing moisture. It described my attempt to create a warm and dry atmosphere in the electrical side of the turbine by packing in a kilo of silica gel beads and blocking the ventilation ports. The aim was to improve insulation resistance and reduce corrosion. What's happened since?

At the time I sealed the compartment, generation was only 300W, so temperature inside did not immediately rise very much.  But as winter generation picked up (it has been > 780W since 1st December), the temperature rose to 18-20℃ above outside temperature, reaching nearly 40℃ on warm days. There was nothing worrying about this. But at about this time I began to recognise that the warmer the SmartDrive operated, the lower was its output, about 6 watts less per 5℃ temperature rise (see last diary entry and also here).  After thinking about it and deciding that maximal efficiency was my main aim, I re-established ventilation by putting back the louvred ports in two of their three locations. Ever since, the temperature inside has been lower at between 19 and 24℃.

Restoring ventilation predictably made relative humidity inside rise. When sealed, it was as low as 10%, but unsealed it rose to 20 - 38% because more air exchange occurred with humid, outside air.  The inside humidity now fluctuates in the 20-38% range, tracking the humidity of outside air, and the temperature in the compartment. I have been assuming the silica beads are still taking up moisture as the inside RH is well below the outside value. Later on I'll take the bags out and weigh them to see just how much water they've taken up.

Today, I've been measuring the temperature of the water powering the turbine.  It was 8℃.
It's the temperature of the bulkhead that I really want to know and I'm assuming it will be the same as the water. The temperature of the bulkhead determines when moisture will condense on its surface and this measurement was the only factor I'd never got round to measuring in my quest to predict the conditions which will create condensation.

In the diary entry "Managing moisture" I gave a link to a dew point calculator.  This is a handy tool for working out at what point condensation will occur, handy because the computation is complicated: there are three variables to consider: the relative humidity of ambient air, the temperature of the air, and the temperature of the surface on which condensation is to occur. 

Convenient as the calculator is, a graph gives an alternative way, a more visually predictive way, of appreciating how relative humidity and ambient temperature can be manipulated to avoid condensation. These two variables, temperature and humidity, are the only ones which can be manipulated, since the temperature of the bulkhead obviously cannot be changed.





To understand the graph requires an understanding of humidity: humidity is the amount of water carried as invisible water vapour in a mass of air; the amount of water vapour carried will depend on how moist the air happens to be: deserts are dry, rain forests are wet; but the maximum amount of water air can carry in either region depends on the temperature of the air: the warmer the air, the more water; the cooler the air, the less water.  When a body of air at a certain temperature and carrying a certain amount of water (as invisible vapour) comes into contact with a surface which is colder, the layer of air immediately above the surface is cooled; in being cooled it finds it can no longer carry as much water vapour as the warmer air further away from the surface, and if it cools below a certain point, water comes out of being in a vapour phase and condenses on the cold surface as liquid, first as misting, later coalescing to droplets.

What the graph shows is a family of curves. Each curve describes the ambient humidity and ambient temperature at which condensation will occur on a surface having a given temperature. Several curves are needed because each shows the humidity / temperature relationship for a different surface temperature. In my graph, curves are shown for surface temperatures of 0, 4, 8 and 12. 

The measurements I took today recorded the temperature of the bulkhead as 8℃, the temperature in the compartment as 23℃, and the humidity in the compartment as 28%. The red arrow in the graph has its point at the place for the two temperature measurements: where today's compartment temperature 23℃ intersects with the 8℃ curve.

At this point it can be read on the Ambient Relative Humidity (RH) axis that dew (condensation) will form if ambient relative humidity is 38%.  It will of course form too if the RH is at any figure higher than that. Since the ambient RH inside the compartment today was only 28%, it follows that condensation would not have been possible under today's conditions.

We can use the graph in an alternative way to see at what ambient temperature condensation will occur when the RH is 28% and the bulkhead temperature is 8℃: it will be 29℃ (as best as can be discerned from this crude graph).  Now 29℃ is a temperature which might easily be reached if ventilation was blocked off so we might conclude that blocking off ventilation would be a bad idea from the condensation point of view (it will certainly be bad from a power generation viewpoint); but if ventilation was blocked off, ambient RH can be expected to be lower, maybe only 20%, perhaps less, perhaps as low as 10%, and then it can be seen by extrapolating the green 8℃ line to the right, that ambient temperature could be allowed to rise to perhaps 45℃ before condensation would occur, but only so long as the bulkhead temperature is at 8℃.  And if the bulkhead was colder, say 4℃, we would have to jump to the 4℃ curve which gives a whole new set of temperature / humidity relationships.

You can begin to appreciate what a complex business condensation is, and yet it is a very precise and predictable subject ... if only one knows the values of the variables. 

What a fun occupation it is measuring things and using the data to better understand the world about us!  If it prevents a V-Clamp board failing from poor insulation resistance caused by dampness, it will be useful as well as fun.  Here's to hoping!