September I will be giving a brief presentation at the Ground Source Heat Pump Expo at the Ricoh Arena on the topic ‘Energy or Performance Monitoring’, so its timely to do a little blog here to elaborate on some of the examples I will be showing from some OpenEnergyMonitor
dashboards I have been using
Note; The below are just examples for this blog, and don’t necessarily show the whole story.
I have been working with OpenEnergyMonitor for some time, and now have various installs using OEM kit from Megni.co.uk
In brief, most of the systems I have installed use around 8 temperature sensors, CT power measurement with voltage sensing (real power including power factor), and/or pulse counting from standard electrical kWh meter. I have used Grundfoss VFS flow sensors, but we are currently working on the direct interrogation of a Kamstrup heat meter, giving heat output
Data is sent via Ethernet to www.emoncms.org and displayed on dashboards (as samples below). These real-time graphs give a fantastic tool for the installer and the home owner. They show exactly what is happening now, and what has happened over the previous hour/week/month or year. The information can be used to improve the design of a system and also be used to fine tune the user settings.
Let’s start with a SIMPLE dashboard example
This type of dashboard can be accessed on any internet-connected computer using www.emoncms.org e.g. www.emoncms.org/example
The dashboard above shows a bar graph of daily energy input to the heat pump. This can be checked periodically for unusual values. It is showing high use on 15th March. By mousing-over the graph we can see that on this day, 24.2 kWh were used. The reason for this high use could be investigated. The time period can easily be changed to anything you wish by zooming in or out. Below this is the outside temperature. This might be interesting on its own right, but may be interesting if compared to energy used per day. To the right are a few useful dials and figures – cylinder temperature, room and outside temperature – things any home owner might like to know. We can see that as from 6th April, the system is switched off.
This type of simple dashboard is ideal for the home owner, but we can make as many dashboards we like, of varying complexity and detail. These are very useful for installers and designers, and a far more in depth analysis can be made.
Let’s start with a good example of a GSHP connected to underfloor heating.
This is a 12kW (max output) inverter-drive GSHP operating for a 40 minute period here. The green area represents electrical input and the purple represents heat (direct reading from Kamstrup meter). The ratio if these two areas gives the COP. We can see the flow and return temperatures slowly ramping up to a final flow temperature of only 32°C. Since this is September, the ground collector is exceptionally warm. This, along with the low flow temperature explains why the COP is currently almost 6. Current conditions are ideal, but from tests earlier in the year, we expect to see average COPs for heating in excess of 4.
This graph is showing us a healthy flow-return dt of 6 degrees. It is also showing how nicely the speed of the compressor drops in response to the rising flow temperature.
Below is another snip. This time from a fixed-speed GSHP. This one shows the source temperature too.
This shows a period of about 1/3rd of a day, and approx. 30min. run durations which is quite acceptable. The flow and return is nice and low, with average flow temperature around 30C. The underfloor is a good design here, but he source is dipping below zero. This is not ideal, but a zoom-out of yearly temperatures and knowledge of total heat used would give better understanding. In this case, since the underfloor is so good, it may be acceptable to have a slightly inferior ground source.
Next, a good example of a GSHP heating a domestic hot water cylinder. The cylinder is copper with the heat exchanger coil in the bottom section of the cylinder. The heat pump is only 3.5kW and the coil is a nice large 3sq m.
This example is showing the heat pump electrical input power as the shaded yellow area (no heat meter fitted). The heating period starts at about 1.3kw input and finishes at around 1.7kw. It also shows four temperatures; cylinder top and bottom, and the flow and return temperatures.
This graph is showing the early evening heating period having been off by a time clock.
As we can see, the top of the cylinder is still at a useable 50°C before heating, but the bottom has dropped to 40°C. The 24 minute heating period shown here starts by heating the bottom water from 40°C. Indeed, this system has been set up carefully to ensure the system heats from a lower starting temperature. The heat pump ‘sees’ flow and return temperatures of only 45/40°C at the start. The 40°C cylinder bottom (not very hot) ‘pulls down’ the heat pump working temperatures, resulting in a high energy-efficiency. By looking up the heat pumps performance data, we can estimate the average COP with reasonable accuracy; here it is about 3.5 at the start of the heating-up cycle.
As the cylinder warms, we can observe the point just before 18:00 where the bottom is becoming warmer than the top, and natural convection causes the top of the cylinder to rise with the bottom. After about 25 mins the whole cylinder has reached about 53°C. At the end, the heat pump ‘sees’ temperatures of 55/52°C. This is getting quite hot, and getting close to the limit of the heat pump’s comfort zone. The COP here may be about 2.8. (taken from heat pump data). We can then look at the period of time the heat pump has spent at different COPs, and estimate the COP for the whole DHW heating session. Its somewhere around 3.05.
If the system were enabled 24/7, and the sensor position not optimised, the lower cylinder would not drop so far, so the cylinder would heat more frequently from a higher starting point. The average working temperature would be much higher, so COP would be lower. At worse, the COP could be not much better than 2.8. Added to this, losses from the pipe run, and starting-up losses could result in worse performance.
We can therefore use the monitor to enable us to set the system to operate at a low average temperature, but for the cylinder top to remain at a useful temperature (e.g. say 47°C).
We can also see how nice and close the final cylinder temperature (53°C) is to the maximum flow temperature of the heat pump (55°C). This minimises the need for immersion heater (with COP of only 1). In this case, the compact copper heat exchanger is exceptionally large compared to the heat pump size, and the coil is also only occupying the lower section of the cylinder. This gives exceptionally good results, and allows us to heat some of the water in a ‘batch’ from a colder starting point.
For the next example we have a complete contrast. This is a very inefficient system!
This one is a 14kW ASHP. The heat pump is fine, and function exceptionally well, but the cylinder heat exchanger is debatably a little small for this big heat pump.
Looking at the graph, heating starts when the middle of the cylinder is 48C. the flow temperature s runs up to 60C within 15mins, at which point, the input power drops and the heat pump ‘tracks’ the 60C flow temperature. After 30mins running, the cylinder is 55C. The flow temperature here is considerable higher than our previous example. In part due to the heat pump NOT reducing its speed, and in part due to the smaller heat exchanger coil, but it has not done too bad.
However, the period after 55°C is clearly grossly inefficient. We can see that the compressor switches off frequently and spends the next 3.5 hrs! attempting to achieve 60°C. The other thing to mention here is that the distance between the heat pump and cylinder is around 15m. What is actually happening is that most of the heat is simply being lost from the pipe run. The energy consumed is shown by the yellow area of the power plot. The final 5 degrees (to 60C) uses several times the power (area) of the first section from 1 to 2.
The biggest problem here is poor use of the controls.Clearly, it would make a lot of sense to adjust the hot water setting to 55°C so that the heat pump stops. .
The final ‘floor heating’ period is just as terrible as the DHW period. Here, only 1 or 2 underfloor zones are open so the flow rate is far too low, as can be seen by the large temperature difference between the flow and return. This is in excess of 10 degrees. Again, heat dissipated by the floor is far too small for this large heat pump.
This is a clear case of an over-sized heat pump connected to a cylinder and emitter system. A smaller unit would work far better.
Finally, just to top anyone up with a little heat pump theory, I am adding a graph that I used to illustrate heat pump efficiency v the output temperature. If there is one thing to learn about heat pumps – LEARN THIS.
Here we have the characteristics of 2 sample heat pumps. The vertical Y axis shows the efficiency, the COP. A 3kW immersion gives 3 kW of heat. It has a COP of 1. Heat pumps give out more heat than they consume because they extract heat from outside. The X axis shows operating output temperatures ranging from tepid on the left to very hot on the right.
I am showing 2 typical heat pumps. A typical (R407C refrigerant) unit can reach say 55°C, whilst a ‘high temperature’ (134A refrigerant) unit may achieve 65°C. Anyhow whatever type, we can see that to the left, where the water is lukewarm, the heat pump has an easy time, hence the COP is very high (1kw in for 4.5kW of heat). I liken this to driving a car up a slight incline. We should get good fuel economy here, maybe 50mpg . However, it we heat up to 65°C, the temperature ‘lift’ is great, and this is a little like driving a car up a steep incline – we are in a low gear and the MPG is only 20!. In the same way that you will NEVER get good fuel economy when driving up a very long steep hill, you will not get a good COP when heating to a high temperature. That said, it should always be better than using an immersion heater.
So, knowledge of the performance of any heat pump should be understood, and data should be available for all models relating to output temperatures at specific ground source or air-source temperatures.
If you have a high temperature heat pump, it doesn’t mean you always have to operate it at a high temperature. If you operate it at lower temperatures, the performance should be far better. It is however always a good idea to find out the working limits of you unit.
Some of you may have wondered about the flattening of the curve at very low temperatures. I have drawn it that way because some heat pumps are not very good at the extremities (limits) of their performance. However, I am finding (and partly guessing) that most inverter heat pumps with electronic expansion valves work very well over a very wide range, so some heat pumps will easily exceed COPs of 5 in ideal conditions (usually late spring or autumn, when not much heating is needed) .Never forget mid-winter conditions – this is the time we need most heat, so the operational area to focus on.
So, it is with an understanding of the characteristics of heat pumps, performance monitoring can be used to great advantage. In general, we want heat pumps to spend as much time at lower output temperatures ( and high source temperatures) as possible.