Normally when we track vehicle performance we think in terms of miles per gallon or kilometres per litre. So in figure 1 for example we are looking at the weekly km/litre figure for a 32-tonne flatbed lorry delivering building materials:
It is just about possible to discern worsening performance towards the end of the trace. But by taking a slightly different approach we can not only confirm that there is an issue, but also learn more about its timing, nature and magnitude. We should start by plotting weekly fuel consumption against weekly distance traveled as in Figure 2. (Distance traveled is the “driving factor” in this analysis not in the sense of driving the lorry, but in the sense that variation in weekly distance traveled “drives” variation in weekly fuel use):
What we see is that there is an element of consumption (about 40 litres per week in this case) that is unrelated to distance driven. Most likely, this is fuel consumed while stationary. The straight-line relationship gives us a more precise gauge of performance because it allows us to deduce expected consumption each week quite accurately. We can thus show the deviation from expected fuel consumption as a time-history chart (Figure 3):
From this it is clear that there was a change in behaviour on or about 7 October, which manifests itself as a fairly consistent 50-litre-per week excess almost every week since (see the highlighted points).
Furthermore, we can compare the adverse and achievable behaviour on the scatter diagram (Figure 4) in which the post-change points are marked:
The red straight line is a best fit through all the post-change points, and it shows us that the apparent excess fuel consumption is not distance-related. It might be a permanent change in terrain or traffic conditions or a new pattern of deliveries with more waiting time… Or it might be a new driver who doesn’t turn their engine off while waiting. It probably isn’t a mechanical fault, because that would tend to change the gradient of the line. But at least we know when the change occurred (which will help trace the cause), its nature (which helps eliminate some kinds of fault) and its magnitude (which helps us decide whether to bother pursuing the case).
Try getting those insights from tracking the MPG.
This method of monitoring energy performance also applies to buildings and industrial processes, and you can find training on the method at http://vesma.com/training
One of my newsletter readers, A.M., wrote from New Zealand with a series of questions about ISO50001, the management-systems standard for energy management. He has just started to get to grips with the 2018 edition. Here are his questions and my answers:
A.M.: How we distinguish between boundaries and scope? if boundary is simply the physical borders for the system (e.g. the office buildings), what is scope then? and if scope is for example “transportation” and etc., why in SEU [significant energy use] we say “Transportation” could be an SEU as a process?
V.V.: “Scope” means the range of activities covered. For example “manufacturing processes” or “heating, ventilation and air conditioning” or, as you say “transportation”. Within transportation you might have, for example, “freight” as an SEU, but equally you could declare all transport as significant. There is no paradox here.
A.M.: In the new edition, the top management shall take all the responsibilities that the representative had in the last edition. This sounds impossible to delegate all the tasks to the top management. How do we cope with this?
V.V.: If you are responsible for a task you can delegate it but still keep responsibility, i.e., it is your fault if the people you delegated it to fail to carry it out properly. Managers are accountable for the actions of subordinates.
A.M.: In section 4.3, page 8, after b) we have a statement “The organization shall not exclude an energy type within the scope and boundaries” I do not understand the idea! why we are not allowed to do so?
V.V.: The requirement seems logical to me. For one example: if you have transport as your scope and you have plug-in hybrid vehicles, it is reasonable to insist that you cannot exclude any electricity used by them. Another example: if you had an oil-fired boiler and replaced it with a wood-fired one, it would evidently be wrong to exclude the wood fuel from consideration.
A.M.: If a new opportunity would become replacing diesel boiler with wood pellet, it means we are changing the energy types which does not necessarily reduce the energy costs. Can we call it action plans?
V.V.: ISO50001 is about managing energy performance, not costs or carbon. If substituting a different fuel improves the energy performance, it will contribute to your aims and objectives, so it would make sense to classify the work as an action plan.
A.M.: I understand that for each energy type, we identify SEU(s) and for each SEU, we list the action plans. What if one action plan reduces diesel and increases electricity? Do we still keep it as an action plan for diesel?
V.V.: What matters is the overall energy performance. If the amount of electricity consumption that you add exceeds the amount of diesel energy saved, your energy performance would be worse after the project and it would therefore make no sense to include the project in an action plan within your EnMS. If the project is going to improve energy performance, you could declare it as part of an action plan.
Clare C., a regular reader of my energy-management bulletins, was perplexed when she started researching the cost advantages of LEDs as replacement for metal halide (MH) high-bay fittings. She discovered that MH lamps have luminous efficacies very similar to LEDs with both, broadly speaking, yielding about 100 lumens per watt. Certainly she wasn’t going to get the 50% saving she was after, and she asked my opinion.
But the big gain is in controllability. MH lamps have a warm-up time measured in minutes and a ‘restrike’ time (after turning off) which is longer still, to allow them to cool before being turned on again. This is common to all high-intensity discharge (HID) lamps. It does not matter how long the delay is; it discourages the use of automatic control so HID lamps are often turned on well before they are needed, and then stay on for the duration. LEDs by contrast can be turned off at will and as soon as they are needed again, they come on. This is where Clare will might get her 50% saving.
Scale build-up from hard water is often cited as a cause of energy waste in hot-water systems (I am talking here about ‘domestic hot water’ supply, not closed loops within central heating systems). Actually though, contrary to claims for some water treatment devices, it is not necessarily the case that energy waste will be significant. Indeed with an electric immersion heater on a 24-hour service, all the supplied energy still gets into the water; there is no loss. Of course the rate at which the water temperature recovers will be reduced, and the heating element will fail prematurely, but those are service and reliability issues not energy waste.
The story is a little different on intermittent hot water storage of any kind. Here, because scaling will retard temperature recovery, users may extend preheat times and that will result in a marginal increase in standing heat loss. If the heat supply is from a primary (boiler-fed) water loop, the primary return temperature will be higher because scale impedes heat transfer, and this also will increase standing losses although in reality not to a significant extent in the grand scheme of things. If hot-water recovery times deteriorate markedly, users may of course dispense with time control altogether and in those circumstances avoidable standing heat loss might become significant if thermal insulation is poor.
Preventing scale build-up
Simplifying the story somewhat, the main constituent of scale is calcium carbonate, which starts to form above about 35°C through breakdown of the more soluble calcium hydrogen carbonate that is present to varying degrees in the public water supply, with ‘hard’ water containing higher concentrations of it. Calcium carbonate crystals of the normal ‘calcite’ form stick to surfaces and each other, and that is what constitutes limescale.
One way to deal with this is softening which (in its strict sense) involves a chemical process to turn calcium carbonate into sodium carbonate which does not precipitate as crystals but stays in solution. The process is costly in terms of chemicals; a waste product, calcium chloride, needs to be flushed away periodically; and the softened water is unsuitable for drinking and cooking because of its high sodium content.
The alternative to chemical treatment is physical conditioning. Various proprietary methods are available. Some involve electric or magnetic fields which are supposed to affect the calcite crystals in some way (for example giving them an electric charge so that they repel each other, or in some other manner inhibiting their tendency to agglomerate).
Another class of conditioner is electrolytic. Electrolytic devices release of minute quantities of zinc or iron into the water, which change the calcium carbonate to its ‘aragonite’ form which, unlike calcite don’t stick together, so they stay in suspension and do not contribute to scale formation.
With the exception of electrolytic devices, there is no scientific explanation of how or why most of these physical conditioners work, and there are no accepted tests of efficacy. There is only anecdotal evidence, but if it works, it works.
The one method of physical condition which is definitely effective (and I can vouch for it personally) is polysilicate-polyphosphate dosing. This has a dual action. It modifies the carbonate crystals to stop them sticking to each other, and it coats the inner surfaces of pipework and appliances to inhibit scale formation.
We all know that trees are good and absorb carbon dioxide. But how good are they? Let’s work it out…
Trees absorb carbon dioxide at different rates depending upon their age, species and other factors but as a rough order of magnitude you can say the figure for a typical established tree is 10 kg per year. The carbon dioxide emissions associated with energy use are 0.2 kg per kWh for natural gas and (in the UK in 2018, including transmission losses) an average of 0.3 kg per kWh for electricity.
So 50.0 kWh of gas or about 33.3 kWh of electricity each generate the 10 kg of CO2 that a single tree can absorb in a year. Take that figure for electricity. As a year is 8760 hours, 33.3 kWh equates to a continuous load of only 3.8W. So one entire tree compensates for one broadband router, a TV on standby, or a couple of electric toothbrushes or cordless phones (roughly).
And as for gas consumption: remember pilot lights? The little flame that burns continuously to ignite the main gas burner? If you had pilot flame with a rating of 100 watts, in the course of a year it would use 876 kWh and require no fewer than 17 trees to offset its CO2 emissions..
Are the assumptions correct?
The first time I published this piece in the Energy Management Register bulletin my estimate of CO2 takeup rates was challenged. Fair enough: I plucked it from stuff I had found on the Web knowing that it might be out by an order of magnitude. So let’s do a sense check.
The chemical composition of wood is 50% carbon (on a dry-matter basis) and all that carbon came from CO2 in the air. So 1 kg of dry woody matter contains 0.5 kg of carbon, which in turn was derived from 0.5 x 44/12 = 1.833 kg CO2 . Thus if we know the growth rate of a tree in dry mass per year, we can multiply that by 1.833 to estimate its CO2 takeup. Fortunately a 2014 article in ‘Nature’ has the growth figures we need. Although there is wide variability in the results, for European species with trunk diameters of 10 cm the typical growth in above-ground dry mass is 1.6 kg per year, equating to a CO2 takeup of only 2.9 kg per year (although this rises to 18 and 58 kg per year for diameters of 40 and 100 cm). So newly-planted trees (which is what we are talking about) are going to fall well short of my 10 kg/year estimate, and it will be years before they reach a size where their offsetting contribution reaches even modest levels.
I like trees – don’t get me wrong – by all means plant them for shade, wildlife habitat, fruit or aesthetic appearance. But when it comes to saving the planet I just think that given the choice between (a) planting a tree and waiting a few years, and (b) cutting my electricity demand by 3.8 watts now, I know what I would go for.
WHEN I FIRST heard the term science-based target (SBT) bandied around in the public arena I thought “oh good – they are advocating a rational approach to energy management”. I thought they were promoting the idea that I always push, which is to compare your actual energy consumption against an expected quantity calculated, on a scientific basis, from the prevailing conditions of weather, production activity, or whatever other measurable factors drive variation in consumption.
How wrong I was. Firstly, SBTs are targets for emissions, not energy consumption; and secondly a target is defined as ‘science-based’ if, to quote the Carbon Trust, “it is in line with the level of decarbonisation required to keep the global temperature increase below 2°C compared to pre-industrial temperatures”. I have three problems with all of this.
Firstly I have a problem with climate change. I believe it is real, of course; and I am sure that human activity, fuel use in particular, is the major cause. What I don’t agree with is using it as a motivator or to define goals. It is too remote, too big, and too abstract to be relevant to the individual enterprise. And it is too contentious. To mention climate change is to invite debate: to debate is to delay.
Secondly, global targets cannot be transcribed directly into local ones. If your global target is a reduction of x% and you set x% as the target for every user, you will fail because some people will be unable or unwilling to achieve a cut of x% while those who do achieve x% will stop when they have done so. In short there will be too few over-achievers to compensate for the laggards.
Finally I object to the focus on decarbonisation. Not that decarbonisation itself is valueless; quite the opposite. It is the risk that people prioritise decarbonisation of supply, rather than reduction of demand. If you decarbonise the supply to a wasteful operation, you have denied low-carbon energy to somebody somewhere who needed it for a useful purpose. We should always put energy saving first, and that is where effective monitoring and targeting, including rational comparisons of actual and expected consumption, has an essential part to play.
The story so far: ISO 50001 is an international standard which lays down a harmonised recommended method for managing energy. Published in 2011, it is analogous to ISO 14001, which covers environmental management and ISO 9001 for quality management. Organisations can be certified to ISO 50001 to show that they have energy-management procedures which meet certain criteria.
At the time of writing, the original 2011 edition of ISO50001 is due to be phased out and replaced with a new 2018 version. To help understand the differences, I have approached it from the point of view of the main topics that you or an auditor might explore when establishing compliance, and the questions that would be asked. I give the section references of both old (2011) and new (2018) editions, and where necessary there is a note of any material differences.
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I ALWAYS THOUGHT that the diagrammatic representation of the “plan, do, check, act” cycle in ISO50001:2011 was a little strangely drawn (left-hand in picture below), although it does vaguely give the sense of a preparatory period followed by a repetitive cycle and occasional review. Turns out, though, that it was wrong all along because in the 2018 version of the Standard, the final draft of which is available to buy in advance of publication in August, it seems to have been “corrected” (right-hand below). For my money the new version is less meaningful than the old one.
ISO50001 has been revised not because there was much fundamentally wrong with the 2011 version but as a matter of standards policy: it and other management-system standards such as ISO9001 (quality) and ISO14001 (environment) have a lot in common and are all being rewritten to match a new common “High Level Structure” with identical core text and harmonized definitions. ISO50001’s requirements, with one exception, will remain broadly the same as they were in 2011.
It is just a pity that ISO50001:2018 fails in some respects to meet its own stated objective of clarity, and there is evidence of muddled thinking on the part of the authors. The PDCA diagram is a case in point. I see also, for example, that the text refers to relevant variables (i.e., driving factors like degree days etc) affecting energy ‘performance’ whereas what they really affect is energy consumption. To take a trivial example, if you drive twice as many miles one week as another, your fuel consumption will be double but your fuel performance (expressed as miles per gallon) might well be the same. Mileage in this case is the relevant variable but it is the consumption, not the performance, that it affects. This wrong-headed view of ‘performance’ pervades the document and looking in the definitions section of the Standard you can see why: to most of us, energy performance means the effectiveness with which energy is converted into useful output or service; ISO50001:2018 however defines it as ‘measurable result(s) related to energy efficiency, energy use, and energy consumption’. I struggle to find practical meaning in that, and I suspect the drafting committee members themselves got confused by it.
Furthermore, the committee have ignored warnings about ambiguity in the way they use the term Energy Performance Indicator (EnPI). There are always two aspects to an EnPI: (a) the method by which it is calculated—what we might call the EnPI formulation—and (b) its numerical value at a given time. Where the new standard means the latter, it says so, and uses the phrase ‘EnPI value’ in such cases. However, when referring to the EnPI formulation, it unwisely expresses this merely as ‘EnPI’, which is open to misinterpretation by the unwary. For example Section 6.4, Energy Performance Indicators, says that the method for determining and updating the EnPI(s) shall be maintained as documented information. I bet a fair proportion of people will take the phrase ‘determining and updating the EnPI(s)’ to mean calculating their values. It does not. The absence of the word ‘values’ means that you should be determining and updating what EnPIs you use and how they are derived.
Failure to explicitly label EnPI ‘formulations’ as such has also led to an error in the text: section 9.1.1 bullet (a) (2) says that EnPIs need to be monitored and measured. That should obviously have said EnPI values.
The new version adds an explicit requirement to ‘demonstrate continual energy performance improvement’. No such explicit requirement appeared in the 2011 text, but since last year thanks to the rules governing certifying bodies, you cannot even be certified in the first place if you don’t meet this requirement. There was a lot of debate on this during consultation, but this new requirement survived even though it does not appear in the much-vaunted High Level Structure which ISO50001 was rewritten supposedly to conform to. That being the case, it is paramount that users adopt energy performance indicators that accurately reflect progress. Simple ratio-based metrics like kWh/tonne (or in data centres, Power Usage Effectiveness) are not fit for purpose and their users risk losing their certification because EnPIs of that kind often give perverse results and may fail to reflect savings that have really been achieved.
On a positive note, the new version of the Standard retains the requirement to compare actual and expected energy consumption, and to investigate significant deviations in energy performance. These requirements are actually central to effective ongoing energy management. Moreover, a proper understanding of how to calculate expected consumption is the key to the computation of accurate EnPIs, making it a mission-critical concept for anyone wanting to keep their certification.
One ironic and highly satisfying way to debunk the claims for magnetic fuel conditioning is to pitch one supplier against another. I have been digging in the archive for claims made by different suppliers, and with assistance from eagle-eyed newsletter reader Mark J., have compiled the following account. Let’s start with Magnatech. Their web site makes a bald assertion that passing fuel through a magnet’s negative and positive (sic) fields makes it easier for the fuel to bond with oxygen and burn. They offer no explanation of how this works but say it creates a rise in flame temperature of “an extra 120°C or more”. However, their competitor Maximus Green says that the flame temperature only rises by 20°C, but they gamely have a crack at explaining how: they claim that hydrocarbon fuel molecules clump together in large “associations” because they are randomly charged positive and negative (although even if that were true, wouldn’t they just pair up?). Passing through a magnetic field, they say, gives all the molecules a positive charge, breaking up these supposed big clusters of fuel molecules. They don’t say where all the resulting spare electrons go.
Or at least that’s what Maximus Green used to say. In a recent (unsuccessful) submission to the Advertising Standards Authority they offered a completely different story. Quoted in the ASA ruling they said that “the hydrogen and carbon compound of gas and oil had two distinct isometric (sic) forms – ‘Ortho-state’ and ‘Para-state’ – which were characterised by different, opposite nucleus spins. The Ortho-state was more unstable and reactive in comparison to the Para-state, and therefore that state was desired because it resulted in a higher rate of combustion. They said that when fuel passed through the magnetic field the hydrocarbon molecule changed from the para-hydrogen state to the ortho-hydrogen state, and that the higher energised spin state of the ortho-hydrogen molecules produced high electrical potential (reactivity), which attracted additional oxygen and therefore increased combustion efficiency”.
Another player, Maxsys, meanwhile, are having none of this ionised oil, lumpy gas or nuclear spin stuff. Their 2014 brochure lays the blame on very fine dust in the fuel. By applying a magnetic field, they say “nanoparticles that would normally pass through the combustion or reduce heat transfer efficiency, by clinging to and fouling surfaces, begin to cluster together”, an effect which forms “larger colloids, less likely to create a film deposit and compromise a plant’s performance”. Now pardon my scientific knowledge, but a “colloid” is a stable suspension of very fine particles in a liquid. Milk is a good example. Be that as it may, Maxsys are saying that magnetic fields cause things to clump together, in direct contradiction to what we heard earlier from Maximus Green in one of their versions of how magnetism supposedly works.
Someone is telling porkies and I will leave it to you, dear reader, to work out who.
Footnote: an independent test of the efficacy of magnets on fuel lines was carried out by Exeter University in 1997. Their report, which strangely is never quoted by vendors, can be downloaded here.
Recent press reports suggest that some types of electricity meter (including so-called ‘smart’ meters) are susceptible to gross errors when feeding low-energy lamps, variable-speed drives and other equipment that generates electromagnetic interference.
According to an investigation and review by metering expert Kris Szajdzicki, such measurement errors do occur and their magnitude depends upon the current-sensing technology used by the meter, although the effect may be negligible in normal situations in the domestic market. However, potential for gross error remains in unfavourable circumstances, particularly in industrial or commercial installations or where there is deliberate intent to fool the meter.