Tuesday 10 September 2019
Michael Prager, Chairman, Optimal Monitoring
Artificial Intelligence, AI is a new form of computing in which the system is pre-programmed with logic that allows it to mimic the way that humans learn and perform cognitive functions. We see it now as speech recognition, optical character recognition and increasingly pattern recognition and early forms of logical reasoning. (see Duncan Everett’s, ‘What the hell is AI’ blog). So instead of being programmed with rules that will always be hard coded and apply to all situations, without reference to what they are or why they happened AI will compare data it is seeing to patterns it ‘knows’ and make a logical inference from these two streams.
In energy that means two things:
The system learns from each experience rather than having knowledge programmed in a hard coded way. That’s AI.
Let me try to answer the questions that might be flying through your mind rather than just waffling on about the merits, myths and bunk around AI.
Will AI be widely used in the Energy sector any time soon?
Yes. EMMA AI is live now, others will follow no doubt. AI isn’t a coming technology, it’s already in our lives now. Siri uses speech recognition to let you control your iPhone or iPad by voice rather than a keyboard. Amazon Echo does much the same but from a much more diverse knowledge base. Chatbots and robotics use AI rather than rules based computing to determine what the question means and where things are respectively. Energy, with vast reams of data which are slow and expensive for humans to interpret, is a very good area for AI to add value to the process.
Does that mean my job will disappear?
Unlikely. There is no case in recent history of new technology destroying more jobs than it creates but it will probably change your job. Filing Clerks have gone away and returned as admin assistants or office managers. Ledger clerks and bookkeepers have given way to cost & revenue accountants. Flight engineers on aircraft have gone away but the demand for pilots has never been higher (so much so that BA pilots feel confident enough to go on strike for more pay). AI systems will take away the grunt work and if you only do grunt work like collecting and sorting masses of data on excel spreadsheets expect that to disappear (that should make you quite happy no?). Think about what you will be able to do with the knowledge that an AI system provides rather than how you might compete with it. There will be opportunities aplenty for those who can make this small mindset adjustment.
Will this help me realise efficiency savings?
Yes. Firstly by having the system suggest what the fix is to the problem or opportunity you will be able to send instructions straight to site or outsource provider; get a plumber to check the valves for a leak in the men’s toilets in building C. Have a boiler maintenance guy inspect the burners as they have started to use much more gas etc. The need to spend hours on figuring out what the data is telling you rather than acting on it will dramatically speed up resolution time across the board and from being able to oversee, say five sites, you will be able to do that for fifty sites on an AI platform
We only do capital projects with a guaranteed return.
In the words of Mrs. Brown. ‘That’s nice.’ As you well know there are three levels to energy efficiency and AI will make all of them more efficient:
a) Pick the low hanging fruit. Reset heating controls that have gone out of sync, see leaks in gas and water and get them fixed etc
b) Change behaviours. Have people switch off non-essential equipment when not being used e.g. gas burners in a commercial kitchen that are left permanently on because someone might come in and ask for an omelette! Or lighting in an empty building, or heating the building three hours too early etc
c) Capital projects like replacing old halogen lighting with LED’s. Installing heat exchangers etc
All of these contribute towards saving energy, reducing C02 and making the business and the planet a better place. The problem has been that in many situations, retail is a prime example, the cost of fixing lots of small issues has been greater than the savings that could be generated hence ‘we only do capital projects….’. AI will eliminate or dramatically reduce that cost so e.g. saving £10 a week on energy in an estate of 1,500 sites – is a pittance per site but do the maths £10*52*1,500 = £780,000. Worth doing and with AI the modelling that a reliable ROI analysis requires can be done way more accurately and using the efficiencies above at a much better ROI than previously so as an energy manager you will be far better placed to handle behaviour change as well as capital and the blindingly obvious efficiency issues than ever before.
We have already implemented a behavioural program, so we are good thanks
Well good for you if you have, but as we know, it’s really hard to keep this going, so maintaining savings made is tough, let alone building on them. In general people support what they help to create. By making the findings of your AI system available and even usable by your internal constituencies they become part of the solution rather than remaining part of the problem. Nobody wants data, they want solutions. (you want data, we know that and you will get it, it’s just the site level personnel for whom data = more work. Solutions as instructions on what to do = job made easier) . AI systems will give you proof positive of how the changes you and your teams make are effecting kwH and C02 . That can only be helpful.
We’re a small business. We won’t be able to afford an AI system
You are wrong. This is one of those examples of where the deployment of a new technology is actually reducing the cost of it. In general, and this is a wide definition so may have some variability but an AI energy system will cost around 1-2% of existing energy use and should generate 10-15% sustainable annual savings or efficiencies. For large multi-site enterprise the investment requirement at the moment for EMMA AI is a one-time user license of £5,000 per annum and £20 per meter. That surprised you didn’t it.
If you would like to know more you can contact Mike by emailing mike@optimalmonitoring.com or contact Optimal Monitoring on 01494435106.
Optimal Monitoring will also be running a demo of EMMA, the world’s first AI Energy Manager, at Energy Live EXPO 2019 on the 5th of November at the QEII Centre in Westminster. You can put EMMA through its paces by letting EMMA study your building’s energy usage, suggest recommendations and afterwards you will receive one to one feed back on the day.
If you are interested, get in touch with Harry.Matyjaszek@energylivenews.com.
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