Delivering Energy and CO2 Savings through Machine Learning

by | Jul 29, 2020 | Mixergy News | 0 comments

Over the last 4 years, Mixergy has deployed 100s of smart hot water tanks through field trials with support from IUK and BEIS (for which we’re very grateful!). Each Mixergy tank is capable of adapting it’s own heating schedule according to the demand it measures. One of the most interesting insights has been that people rarely use more than a small fraction of their tank in any one go and often less than half their installed capacity over the course of a single day. This gives our Machine Learning (ML) algorithms a significant amount of headroom to play with, enabling us to defer heating until electricity prices are cheap and adapt the state of charge required to last until the next off-peak (or low cost) time period. Where a gas system boiler is in use, the Mixergy tank is able to minimise heat losses and thermal cycling to derive gas savings in excess of 10%.

In order to quantify the value of ML for electric consumption, we monitored trial data from a subset of 66 electric tanks using an Economy 7 (E7) tariff. During off-peak hours, the price of electricity on E7 typically drops below 10p/kWh compared with a high of around 20p/kWh during the day. Armed with this information, alongside a demand forecast synthesized by our on board state of charge measurement, the Mixergy tank is able to shift a significant fraction of its heating into the off-peak hours. The following image shows this shift in power usage associated with our E7 test fleet:

By allowing the tank to take charge of their heating schedule, we were able to reduce cost by 40% (principally through better use of off-peak electricity). Along with this, there was a 12% decrease in energy consumption and a 16% reduction in carbon intensity. This 16% reduction in CO2/kWh came on top of the reduction in energy consumption achieved by only heating what you need. The reason for this is that the UK’s electricity grid uses more wind and baseload nuclear as a proportion of total demand during off-peak hours at night. As electricity consumption ramps up during the day, most of the extra generation comes from gas power plants ramping up. Although solar energy starts to come on line as well, the net effect of all this is that CO2/kWh trends up during the day. The following graph (annotated from Grid-Watch) illustrates what’s going on:

As our tanks shifted consumption to night rate electricity, the carbon intensity of hot water production dropped from 220gCO2/kWh to 183gCO2/kWh  which means that hot water from a Mixergy tank is now delivered at a 15% lower carbon intensity than an A-rated combi-boiler (see our journal paper here which provides more info on combi boiler efficiencies). The following figure gives a sense of the volatility of the UK’s carbon intensity since the beginning of this year:

 With the roll-out of smart meters and connected devices, it feels like we’re on the cusp of some exciting developments in domestic energy which will allow us to facilitate more renewable energy by going beyond traditional tariffs such as E7. The Mixergy tank can now switch between using electricity or gas depending on price or carbon intensity acting as a real bridging technology towards the electrification of heat. Do get in touch if you’d like to find out how you can join us on this mission!

 

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