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Hello, welcome, and thanks for listening to Carbon Climates, an energy podcast dedicated

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to discussing all things energy, carbon and sustainability. We also like to talk about

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what's getting hot, aside from our planet. I'm your host, Enya, and today I'm joined

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by my Carbon Climate and co-host, Shane Brady. Hello.

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Like that. Be cheery. Hello. But yes. So, Shane, how has your week been? And can you

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tell us a bit about yourself?

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Yes, I can indeed. I don't know if my week tells you a little bit about myself in itself.

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I have been spending the weekend mostly drinking and getting people over from England, my partners

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from England, and every once in a while we get people over to the massive city of Bangor

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that I'm living in at the moment.

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Right. People I'm forgetting. It's a city?

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It's a, yeah, it's some city. It's about 60,000 people or something. But yes, I bring

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people over at the weekend every once in a while and they're all Laura's friends. And

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basically, the premise is they come over and I try to make them think that Bangor is not

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the worst place to live. Usually it does all right. It's mostly the sea, does a lot of

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heavy lifting, you know, on a few pubs or ground.

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Goats toe.

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Goats toe is good. I mean, I've seen some pretty offbeat bands there, which were not

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ideal, but that's, I might come up with the podcast later. I used to do myself. So every

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once in a while I just try to support. But yeah, so me, I grew up in West Belfast and

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moved out to Bangor as a salt and soul. And yeah, just a bit about me, I guess I originally,

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like it is topical, I originally was very much focused on music. It's not really necessarily

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how I thought I would get to where I am now. But it was very much all based around whenever

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I was a teenager, it was, I'm going to be, Perko being number two. And yeah, so basically

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my whole premise was I'll do this kind of skilled stuff and that's fine. It'll all

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be a waste because at the end of the day, what I'm here for is to make the greatest

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album of all time. And it took me to about 22, realized that wasn't going to happen.

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I had a very strategic plan of when you like first album out 21, it's going to really like

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cause a lot of shock waves. And when I'm 24 is going to be the best thing of all time,

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actually speaking, but number three, when I'm 27 is going to be the critically acclaimed

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thing that goes down in history. And I made that first one when I was about 20, 21, and

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it was just rubbish. It was just absolutely awful. And it was far from like the greatest

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thing of all time at the very least. So at that point, I guess I was, I picked, I guess

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for my A levels and towards my university degree. Originally, what I wanted to do was

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be David Attenborough. If the rock star thing didn't pan out, I was going to be David Attenborough.

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David Attenborough was your fallback.

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That was my fallback. But I realized that you can't really have two dreams at the same

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time. You know, you've got to have your dream and you've got to have your like pragmatic

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fallback. Yeah. That was just, or else you're not going to get either. So my pragmatic fallback

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turned to, well, at least I would like to move to Canada. I was very focused about moving

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to Canada. I watched Scott Pilgrim. It was all related. Scott Pilgrim was basically what

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I was planning to do with my life. At least my kids could do that in Canada, in the glorious

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country of Canada. So my whole plan was very much, I'll do chemical engineering. They

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need a whole pile of them out there. I'll work at ExxonMobil. They have a sister company

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out in, I think it's called Imperial Oil. I say, I think I've obviously thought about

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this a lot. They had a little refinery outside Toronto and was going to work there by the

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time I was 26. And I got one year into my chemical engineering degree. Realized that,

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you know, the rock star thing wasn't really planning out. And this is what was becoming

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more and more a reality. And apologies to all the chemical engineers out there. Absolutely

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not for me. And I think it led me down a little bit of a course to where I am now, which is

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that I thought, you know, well, if I can't become a rock star, I'll just go mine oil

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because that's what the world deserves. And it turns out it wasn't actually that good

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with resting with that in my own mind. And I did the first year, it was fine. I did well

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in the classes and whatever, but I think signing up for a five years degree or a five year

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degree in it wasn't for me. As much as telling you a little bit about myself, that's probably

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a lot, but essentially what happened was I got the first job that I did in a kind of

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more finance stuff. I did a currency, ended up working in a facility management company

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and then floated off the back of that to a, an IOT based company that looked at facilities

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management. And that was four years ago. And the company helped it more and more originally

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looking at sensors to work out when rooms weren't being used and then they could get

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cleaned. But essentially what we worked out was those same sensors were telling us that

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the rooms were usually like 23 degrees and there was no one there. And we thought it

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was a probably much better use of the technology to start kind of calling that out. And that's

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what I've been doing for the last four years. The music unfortunately has, has long since

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left me. Unfortunate for me, but more unfortunate for the planet.

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Yes, exactly. I can post when I upload the episode, I can post links.

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Oh yeah, there we go. Now's the time. Now's the time, Jean Braley on YouTube. It's all

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coming.

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I do have sign off music, but it'll just be the sign off music will just be your album.

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You want this podcast to succeed at some point, don't you? Because I would maybe stay clear

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if that's your intention. Yeah. So that's, that's a little hope.

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Very good. Oh, that's class. Okay. So you said you diverged into the internet things

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company. So what is your current job title then?

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COO. It's very lofty considering there's not massive amounts of us working there. But yes,

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I became a director with them after I was there for about a year.

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Very impressive.

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Yes. There we go. And so at the start, I was very much based more on the sales side of

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things. And I taught myself a good bit of software. I did a master's in IoT when I was

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there. And then the probably the brightest idea I ever had, and the most technically

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capable decision that I ever made was to bring in somebody who actually knew how to make

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software rather than me do it. So for the first few months, I made some things in Python

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show the general idea of sensor movement, green light on a floor plan kind of thing.

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That was a pretty concept, but I actually brought in like my childhood best friend,

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he actually followed me on to that chemical engineering degree. Okay, coincidentally got

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the chemical engineering degree, he actually followed through and got the masters. But

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his talents were being wasted in anything other than basically creating a platform from

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scratch. Yeah, got him on board I think in 2021, maybe end of 2020. And then yeah, with

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that kind of team we built up and alongside the company I used to work for, the facilities

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management company I used to work for, we kind of built the product from there. But

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essentially, I think your original question was wrong, right? But like what IoT has to

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do with the whole thing?

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Honestly, it can diverge into whatever you want.

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Yes. Like the main thing was, like I said before, we were trying to get useless sensors

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to be able to tell when to clean and when not to clean. But it built up more and more

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towards sustainability, it turned out was a massive benefit that these things could

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actually do. The sensors we use have temperature in them as well as occupancy. So we were able

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to find out that loads of the companies that we were in and universities as well, just

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have general issues with, I guess if you're looking after building management system until

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relatively recently, your main thing is your complaints come from the fact that it's too

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cold, but people tend to not really complain when they come into the office on Monday morning

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and it's 20 degrees, you know, because it's been heated all weekend. Don't very few complaints

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in that bit. But what we were able to work out is that quite often there is that gap

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where people aren't really necessarily aware that their heating is still on over the weekend,

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over evenings. And that's what the sensors help do. So we started focusing more and more

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on that side of things.

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That's class. And then the idea is when the sensors like you see it's on, okay, I see

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it's on, I know I'm going to correct this, like maybe create a profile for it. Well,

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what's it called a program? There we go. And then like, okay, the heat's not going to go

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on at that time. And that means you're using less heat and that lowers your carbon. And

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yeah, it's saving the planet. So yeah, great.

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It's one of the easier cells when it comes to carbon cutting, you know, it pays for itself.

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Doesn't cost a lot to install the sensors in the first place. You get all these other

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benefits with the space management side of things. And, you know, it's one of those bits

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where nobody's really complaining. You're reducing your carbon output in these empty

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rooms that aren't being used. Everybody's like, yeah, okay, well, that's a, that's a

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low hanging fruit for cutting carbon out. Let's stop eating things at the weekend when

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no one's there. Step one, you know, step two, planting trees, whatever. But just that stuff.

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Step one, maybe stop eating empty rooms. Well, it's surprising how many, how many buildings

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actually have that issue, you know? Right. Yeah. Well, it's how we actually know each

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other. We met at the 30 under 30 program that people over there in beautiful runs, hosts,

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developed anyway. And I think one of the first things we were talking about, you were talking

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about your job and what you do. I said about EMS systems or building management systems. And it's

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like, so I'm going to tell you how I actually know about that. Right. Okay. This goes back to when

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I was the ripe old age of 21. Yeah. Twenty, twenty one. Yeah. Only last year. Yeah. Back in

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2015, I like, I, it was my placement year during uni. And I was working with the Belfast Health

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and Social Care Trust placement there in their energy department. And I was working with this

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great company. He boss. Yes. I know them. Yes. I love them. Like worked, worked with them and

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developed them like a trial. Like their trial technology to be like installed in an office.

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So around the radiator valves. Yes. Yes. The TRVs. So just talking about TRV valves today.

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Yeah. I really was. I haven't talked about TRVs. Sorry for anyone who took TRVs is

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stands for thermostatic radiator valve. That I would have been able to say.

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They're the wee things that you turn on. Yes. The turn off radiators.

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And it's funny because I didn't realize how many different types of TRVs there were. Well,

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sorry, like just valves even because there's the manual valve and like, you know, that was like,

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kind of like you see them in old buildings. Like the very, and then there's the,

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there was a lock shield valve, which is like the wee cone almost. And then the TRVs, they're the

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very, they're the ones with numbers on them. Yeah. But yeah, their one was very like, you know,

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I thought it was cool and trendy. I know you're luckier than engineers.

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Since like, what is it? It was last 2015, 2016 since I was last speaking to them. So probably

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since now they've like upgraded it. Like, you know, and all. Yeah. I mean, we were just chatting

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about something similar, which is, um, so we'll essentially use as lower one. Uh, so it's just a

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particular kind of, it's like an extended version of wifi essentially. Um, and that you can put one

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router in a building and that will cover the entire building usually. Um, and I'm not the size,

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it's the size is three or four story building. Um, but that's the difference. The main difference

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is that it's a really low powered, it can do long range, which is all that Laura actually stands for.

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But all our sensors, based off that, um, and one of the things that we've kind of extended out into

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is the ability to take in, like I said, for our platform. Um, we kind of identify when rooms are

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not being used and are occupied, uh, and they're heated above a certain temperature. But that next

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step is to have something like heat bus and to be able to say, right, okay, now automatically

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switch off that radiator. A lot of our focus is working with buildings that are already constructed

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or older buildings as well. So it's retrofitting these sensors into these buildings, not necessarily

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about when they're getting built. Um, so we're working with, with a lot of buildings that have

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radiator file or sorry, old, old style kind of radiators. Um, that's just the kind of high tech

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technology to be able to do something with that. It's, it's very interesting. Cause one of the

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things I find working with them when we're installing and we're doing the trial run.

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So we're installing the equipment and people seen us like change stuff on the radiators.

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And I think it was, we installed it and then it was maybe a day or two before it was like actually

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like active or like, you know, we're actually using the technology and then people were complaining

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about, um, the temperature in the room. You've done something to my room. Like it's, it's so cold.

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And then we're like, actually it's not, we didn't control it at all. And it's very interesting that

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you have the psychology that people see you changing stuff. Yeah. This is, this is one of the

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bits that I try to stay clear of is that, you know, um, as in like the benefit of me getting to make

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more on the software side of things, I say me, it's our team and I am just, um, very thankful

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for them doing their job. Uh, but the main thing is that we try not to stay, or try not to tell

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people how to do their jobs. There's usually in the buildings that we're, uh, working with, there's

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somebody in that actually specializes in the BMS for that particular building. So what we give them

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is the tools to actually do something with about it rather than make the rules ourselves. It's a

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bit like where our original idea, which was for the cleaning, we are able to send off messages to say,

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Oh, the room wasn't used all day. Um, how you actually change your cleaning to affect that.

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And I have, I want very little to do with it. I just handed over to the facilities management

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company and back away slowly. The data itself is factual. Uh, and then how you end up using that

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is quite subjective. And if you want to, um, you know, for, for not occupant spaces and then

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heating that up just in time for somebody coming in and it's comfortable, there's a lot of balance

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in act of how you do that. You know, it's already the benefit that we have in the way that the reason

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that we went into it is because there's such a stark issue with the fact that heating is being

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left on all, all weekend and in the evenings for a lot of places that there's so much room for

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improvement. We don't really need to find that particular line on a building by building. We

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just need to improve on what's already there. Um, and, uh, it works really well with reducing

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carbon and those things, but the actual battle that happens on a day to day basis on an, in

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particular room and somebody says it's 19 degrees when it should be 27 or whatever and far, far,

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far away from, which is great. But no, that's, that's really good to hear. You certainly

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know your stuff. I don't know what to do, but I definitely know how to gloss over it.

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There's like, I like, I myself, I've got like a script in front of me and the questions that

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like I was going to ask you for actually like slipped in. I'm just like, oh my goodness,

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you've covered that. Um, but yeah, I do have another story, but the Belfast health and social

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care trust, I just, while we're on the topic of like people and you know, how they occupy the

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buildings. Um, I, one of the studies I had to do, it was, so I was a placement student and they're

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like, do this TRV survey. Oh my, oh my God. Okay. Well, what is this? But I had to go around and

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this like building was like a health center in North Belfast and check the TRVs, the valves and

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the radiator because people were complaining that it's really like cold and like they couldn't find

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anything wrong with the systems. Like it's like, it shouldn't be cold. Sorry. I went for it there.

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It shouldn't be cold. Yeah. And so I was going around and I could see they like, you know,

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there was a mix. I'm like, oh, these are switched off. Like why are these switched off? Do they,

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something happening? Like, you know, are they the wrong way around or is this how they operate?

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And I had to survey each level. I got to the top level and I coincidentally came across this

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woman and she was just like, oh yeah, it gets way too hot up there, up here. So I actually

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turned them all off. I'm like, oh, you're the problem. Yeah. Like, and it's, it's, it's amazing.

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The only thing I can really go into is, or I assume the bit that I'm really interested in is

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alerts for, you know, it's too hot, it's too cold. But accounting for the way that humans go about

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doing their business is something I try to stay as clear from as I can. But, you know, the kind of

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thing that our platform really does is that kind of, it's a one day morning, it's five o'clock and

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it's 13 degrees. That's not good. Switch on from there. But yeah, I think it was just always that

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case. You know, it would probably be me if it was, you know, if I was working in those kind of

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environments that I'm always kind of tinkering with things. Not necessarily to that degree, but

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I definitely think there's always, you have to always account for that. I mean, one of the

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things that we realized that we can't do is really work in shopping centers. That's one of the

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many experiences that we've done for different kinds of industries. And whenever we went into

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shopping centers, these sensors are all very, they're redeployable. They're basically command stripped

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to the wall. And that's how you tell the, you've been seeing the temperature. But whenever you were

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in shopping centers, it's just, I don't know what it is with people that whenever you get that amount

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of people coming into a space and it's just public like that, but they just kept stealing them. They

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just kept, who wants these things? I don't know who, the kind of people that are going in and

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stealing these. I have no idea what they're doing, but they're bringing this thing home. I go like,

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yes, finally got myself a Lora Wan based, you know, heating light occupancy sensor. It's just,

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but like just for the sake of stealing it. It's just fun. Yeah. It's amazing that people,

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like if anyone did know what they were, like, you know, it's like, how did, what are you doing?

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I mean, I'm almost interested, you know, it's like, all right, okay. We've got ourselves

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somebody that's like, you know, we're trying to get their own little IOT project. We're going to

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get out there and we're just going to have the money. This is all your competitors. Like,

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it's the Kenzie and that's what it's just like this. This guy just wants to help, you know,

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use these occupancy sensors and then make a project. But that kind of stuff, the more

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what we, what we tend to work in is like, uh, uh, work environments. Um, you know, universities are

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really good because there's just a certain amount, there's already quite a lot of stuff on the wall.

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Anyway, it's kind of foreign plastic amongst an element of foreign plastic. And, uh, there's just

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those, but that still doesn't guarantee anything, you know, whenever you're, you're working with

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actually deploying sensors. Um, some of them just walkies because somebody or else, you know, you

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deploy heat both and somebody on the top floor decides, you know what, actually this technology

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that somebody specifically installed, I think I know a little step better off switch. Like, like,

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like that's the thing. Um, like I, like, I love, like, cause you're fine. Like people are going to

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like be warm or like a cold at different temperatures. Like it's your own personal preference.

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And it's, it's even like what, what, what I love, especially with the Lexa thermostats or like,

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you know, the sensors pick up is like when you actually show them the temperature and then they

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always see like, Oh, 22 degrees, nothing needs to be 25 degrees or 26. Then actually that's really

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warm. I know. Yeah. That's it. You've got, uh, in working environments where there's a number of

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people in the same space, they're never going to agree on something specifically. And, uh, again,

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I just feel like, well, that's why we mostly focus on unoccupied space. It's just about right. Okay.

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The world of what's the right temperature for when people are in the space is, is a mess that no

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algorithm will ever get just right. Um, but whenever it comes to the unoccupied space,

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that's where it's like, okay, well, nobody's really complaining about the fact that the room

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is pulled down whenever they're not there and warm when they arrive. So that was the only bit

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that made us go like, okay, let's maybe get into that particular role. But if I had to think of,

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you know, it's the same thing we have with, uh, our sensors also do lighten.

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We kind of develop based on what people are asking for whenever we install what they find really

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interesting. And one of the things that we have these sensors and we're able to tell the lighting

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levels are able to say the occupancy, they're able to say what temperature it is. And for some

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reason, well, it's with the light inside of things, it's really interesting to be able to find out

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when the lights are left on. That's a big one, but they actually say, um, whether the lights

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perlect on with these particular lux level sensors. Um, when there's some light outside

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is like a AI based algorithm in itself. And the demand isn't anywhere near there that people are

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really that the amount of carbon you can save or the amount of cost you can save on electricity

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for those lights, especially if you've moved over the LED. Um, that was originally where the

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building part of the company that I worked for started. It was all about moving people from

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fluorescent on the LED. So it was one premise that we thought, no, this is going to take over.

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And then we're like, okay, well, that's not really working. Maybe about the cleaning.

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So I was like, okay, well, that's not really working. Um, and we get to this position where

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people are really interested in, I guess, understanding when their spaces are unoccupied.

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But there's some things I think, um, that are not really, it's, it's about trying to work out what's,

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what's worthwhile to develop because of the demand out there. I think one of the good things about,

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um, the modern world and even post COVID is there's a lot more demand for that dynamic heating stuff

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than there was even a few years ago. I think I can feel a certain element of people being more

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interested in reducing their carbon output. Um, as in pragmatic people that would not necessarily

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have very warm hearts for this kind of stuff. They're even thinking, and you know, as I used to be,

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um, or I used to do accountancy, um, I'm working with accountants who are actually interested in

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carbon. Yeah. I think there was a new thing came out there with the IFRS. Um, it's, it's

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accountancy standards and they brought out that you have to essentially do with your normal financial

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accounts. You also have to do this kind of, um, carbon accounts. And, uh, it means that those,

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what sounds quite boring ends up making a really big difference because all of a sudden these

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people are putting all their efforts into now, oh, right. Okay. We need to get these low hanging

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fruits. Um, you know, so it's been interesting. It's been interesting seeing the change. There's

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so much about, um, when I first started, there was maybe, it was just before COVID, um, and it was

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going into that world. And then hybrid working has really changed everything, you know, uh, from what,

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what I look at is that there probably wasn't the same shift day to day and how much rooms are being

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used and all that side of things until after kind of, it seems they've settled somewhere around

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lots of people like to work somewhat hybrid, you know, it's not necessarily fully remote or some

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jobs are fully remote. It's not necessarily five days a week for a lot of places. A lot of people

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tend to live in a world where they maybe go in, I don't know, Tuesday to Thursday seems to be the

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most normal thing that I can see on, from data we're collecting. Um, but it's interesting to see how

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things like that have impacted the way that we're doing this, that we wouldn't have been able to do

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even five or 10 years ago. Um, it's, it's being able to shift up and down to how the buildings

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are being used. It's changed quite a lot recently. Yeah. Okay. Well, that's very interesting. Again,

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just like a pointy full of knowledge. I absolutely love that. Cause like that's the thing. If you,

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if you explain clearly to people, this is what it does. Something they become interested because

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I myself like say if someone, okay, talking about Python script in there, if like someone came out

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of the firm and was just like, yeah, this Python script, if you do this, this and this, it can

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reduce your monitoring by this percentage. I'm like, I've got no interest in Python scripting.

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But then if you, like, if you said, okay, no, it's actually very simple. Y equals whatever. And I'm

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like, okay, maybe, maybe. Yeah, that's it. I think that kind of, I learned so much about software

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development. I still don't actually know how to develop software properly myself. I can do

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little tiny bits. Thankfully I have people who are way better than I am, but the amount of,

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the amount of problems you can fix just by essentially understanding. We, we originally

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actually built a lot of our, our platform on Power BI. And I know a lot about Excel. I've heard of

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Power BI. Power BI'd myself. Whenever I built, or whenever we were working on this kind of stuff,

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originally I did a lot of data analysis and that was kind of my background was commercial analysis

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in FM. And I loved kind of stuff to do with Excel and being able to take data, at least sensors and

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be able to understand, I guess I understand the, the use of the data. And that's the most important

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part. I think a lot of companies actually have quite a lot of sensors and they collect a lot of

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data, but there's not a lot of that's being transferred into real world actions. And to me,

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if you're not doing that, the whole thing's pointless. I think one of the best bits about

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taking that next step, like I said, we originally went from like Excel sheets, downloads of these,

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of the, of the data and finding out, oh, you know, Heaton's left on quite late. You can still get

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that information just from the data in Excel. And then you kind of go like, right, well, that's,

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we now know that and I now need to make a few graphs. And then I can give this person a call

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and I can say, here's my little sheet. That's, you know, it's like kind of consultant stuff.

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But I can only really do one of those at a time. And it might take a long time to set up the

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reports and it can get a little bit faster than that. But the next step was really going like,

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well, why don't we get a power BI platform where there's a live dashboard? And that was,

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that's how we got into it. It was not necessarily that we were set up to our, from the, from the

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get-go, really thinking that to make a whole software platform based on this, it was just an

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easier thing for, okay, more and more people are going to care about this. More people are going

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to want to log in and I can only do one little report at a time. You want to have hundreds of

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thousands of people going on the list. That's the dream. And essentially that ended up becoming,

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well, power BI, you know, at that point, from my perspective, and for anybody who doesn't really

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know a lot about software development, it's, yeah, why do you need, why do you even need to

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do software development? What's the, what's the benefit? And you start to see that because,

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you know, especially in IoT, there's loads of sensors and they're all spitting out a lot of

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data at the same time. And then that's fine at the start. But essentially what happens when you're

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there for a year, two years, three years, is that same graph that you were trying to load,

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all of a sudden it takes about three minutes to get up and running. And the kind of people that

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you were trying to get on, you're just trying to grab their time for 20 seconds to log into this

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thing. You find out that there's a problem with the heating and it's just human nature to assume

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as you start the log in, it's like, oh, this thing takes too long. You know what it is. I'll just go

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do this a little bit. That's when software starts to make sense where it's like, okay,

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what they can do with that is real world, make this a lot faster, make sure like, well, this person

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only really cares about the heating side of things. This person cares about space management. Let's

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make a rule that you can only really see the heat and stuff. So again, real world stuff where

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if you're inundated with loads and loads and loads of dashboards, you're just, you look at it

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and go like, okay, you know what it is. I'm going to go make a coffee. Whereas if you make that rule

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so that they come in and just see the bit that's really important to them, it gets you into the

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bit where I've always been interested is real world changes. So they just see a very small bit

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that matters for them. And then they go in and say, okay, it's super simple. It's just, it almost

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flags up straight away. It's just here, you have an issue with your heating has been left on all

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weekend. Like a lot of the places where it's just like Christmas period, we say like, oopsie doosies,

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left Christmas and nobody was in the building, but we just heated it for like two weeks. And

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you know, a lot of the time when we were having the energy kind of crisis that was over 2021,

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but it would blow your mind how many buildings were being heated nonstop over like two weeks

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over Christmas. And that's the kind of bit where it instills a kind of been initially set out to

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do what we're doing, but it makes you passionate about it. And then you want to go like, right,

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okay, I have stumbled upon this thing that is actually, you would think surely the MS is

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are doing all this. It's all automatic. It's all happening already. And there's definitely technology

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out there that does it, but it's just not actually brought into quite a lot of buildings. And it's

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maybe bought for brought in for very, very new buildings. But in 20, 30 years, a lot of the

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buildings that are going to be around, if we're worried about carbon should be buildings that are

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already here. And we need to think about, well, what are we doing for those ones? What are we

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doing that that's going to be the vast majority of the real issues are going to be coming from

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these older buildings trying to heat themselves. They're not particularly efficient. What do we

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do about those ones? And yes, there's going to be new buildings. They're going to be great,

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hopefully, and perfect. But for now, it's very much about that's what drives me a lot with what

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we're doing is just, okay, can we fix what we're dealing with right now with something that's

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available right now that doesn't cost an absolute fortune? And we can all just instead of just

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saying something that's a hypothetical, well, we all had an infinite amount of money, we would do

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all this. Yeah, but something that's really achievable for most businesses and then pays

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for itself. That was just okay. And that's why I ended up going on to that 30 under 30 piece,

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which I never really seen. That's something that was for me. But I guess it was a good platform

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for me to get talking to other people like you and doing exactly what we're doing right now,

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which is we can all kind of share ideas and get, we're all trying to achieve the same thing from

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lots and lots of different angles. And it's been specifically for me and you, I was wanting us to

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do something that was very specifically around smart buildings and something along the lines that

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we were able to look into that world, which is already difficult enough to enter. It's got a

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kind of high barrier or interest, I'm sorry, but you have to be interested in the first place.

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Yeah. It's quite taxing academically if you really want to get in and understand what you're talking

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about. And then you have to be passionate about it beyond just like what's capable right now,

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you have to actually have that drive to be like, let's change something. And I think 30 under 30

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is probably a perfect amount of number for Northern Ireland. There probably only is a

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small amount of cohorts each year born that has those pieces all together. So it's been great that

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you do something like that and you end up meeting people. It's funny because a couple of people

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that I was talking to, one of the guides, Kieran Boyle, he was like, oh yeah, is there,

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I won't say his age, but like, you know, I was like, oh, is there...

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It's older than 30.

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Yeah. Was there a 40 under 40?

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But yeah, like on that, like, you know, just like trying to get people understand,

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say anyone who is willing to go into this as actor, developing sensor technology, and by

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your explanation, very much an extensive amount of work around it, not just in the development,

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but then talking to people. But is there any specific guides you would recommend someone reading?

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Let me see. Well, first of all, if I can do it, you can do it. That would be the general premise.

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If you are hell bent on becoming a rock star at 22 and nothing else that particularly interests you,

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before you turn 30, you can be really well ingrained in this particular industry. There's

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so much benefit that you can bring from lots of different angles. Like I said, it could be the

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software development piece, but it's also, you know, it's even quite rare to be able to go into

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that and be able to, I think one of the pieces that I can do for potential customers is a bit

380
00:35:04,880 --> 00:35:10,160
like what you were saying before is that make them feel that this is important for them because it's

381
00:35:10,160 --> 00:35:16,560
kind of difficult, you know, it's make it real. One of the things like I used to do back in my

382
00:35:17,440 --> 00:35:23,680
entry assessment days when I was showing like an estimated, like, you know, okay, our software,

383
00:35:23,680 --> 00:35:28,720
software, the SAP software, that shows your estimated fuel cost. This is when you go with

384
00:35:28,720 --> 00:35:33,120
the system, this is when you go with that system. We'll always find if you're dealing with stuff like

385
00:35:33,120 --> 00:35:40,800
the client or the quantity is fair, the person whose job it is to worry about money, when you

386
00:35:40,800 --> 00:35:45,280
put it in money terms, they're like, here, forget the carbon, the money.

387
00:35:45,280 --> 00:35:50,880
Yeah, and that crossover is difficult. I think that's one of the rare bits that I was able to

388
00:35:50,880 --> 00:35:58,960
do, which was, you know, sometimes with reducing carbon, it can play into the part of my mind

389
00:35:58,960 --> 00:36:03,520
that's more like the rock star, it's an idealist, you know, you can sit around and think about, oh,

390
00:36:03,520 --> 00:36:10,960
but what could be, you know, some kind of utopia. And that doesn't transfer well whenever you're

391
00:36:10,960 --> 00:36:15,680
trying to talk to people who are just in the world we live in. A lot of people are just trying to

392
00:36:15,680 --> 00:36:21,760
just get by with whatever their job is and move forward. And realistically, we have to find a way

393
00:36:21,760 --> 00:36:30,240
to get through to people that, you know, the planet and climate control are carbon emissions

394
00:36:30,240 --> 00:36:36,160
in general, not high up in their priorities, and you're trying to make it a very easy win for them.

395
00:36:36,160 --> 00:36:36,640
Yeah.

396
00:36:36,640 --> 00:36:40,240
Well, at least that's where I come from. You know, some people could argue that it shouldn't be an

397
00:36:40,240 --> 00:36:44,800
easy one, it should just be done, which is fair enough to I'm not really going to be able to show

398
00:36:44,800 --> 00:36:51,600
you about that. But my position is very much that you can use your skills, you can use your

399
00:36:51,600 --> 00:36:57,840
skills, you can still have fun and learn things and have a career while also trying to do,

400
00:36:58,640 --> 00:37:03,360
well, basically something a little different than what I initially joined, which was, you know,

401
00:37:03,360 --> 00:37:07,840
trying to mind the world for oil and make your money off the back of that. You can actually come

402
00:37:07,840 --> 00:37:12,880
home at the end of the day and you're building something towards, oh, right. Okay. This is,

403
00:37:12,880 --> 00:37:18,880
I'm a net potential in this world, this part of the world, at least a net positive, you know.

404
00:37:18,880 --> 00:37:28,720
And I think if you're interested enough, you can absolutely, there's so many ways that we can improve

405
00:37:28,720 --> 00:37:34,800
in this particular, it would surprise and or shock you about how much improvement there is to be done

406
00:37:34,800 --> 00:37:38,880
in all different parts of the world. You can look into your kind of local region, I can guarantee

407
00:37:38,880 --> 00:37:43,840
you, no matter where you are, there's massive improvements to be made there. And you don't need

408
00:37:43,840 --> 00:37:48,960
to keep reinventing the wheel. You can see what's out there and just apply it to your own local kind

409
00:37:48,960 --> 00:37:54,400
of area and say, well, you know what, by the time I'm dead, at least I helped with this segment of

410
00:37:54,400 --> 00:38:00,880
the planet. And that's, so if I could give you any kind of advice, if you were trying to start it up

411
00:38:00,880 --> 00:38:07,840
in this field is get into some part of, some part of just what you're really interested in,

412
00:38:07,840 --> 00:38:11,840
you'll eventually curve it back around. I mean, I said, I was really interested apart from the rock

413
00:38:11,840 --> 00:38:20,400
started thing. I think eventually that turned into a skill of being able to explain stuff that most

414
00:38:20,400 --> 00:38:24,720
people find a little bit though in a way that's a little bit more entertaining, perhaps maybe that's

415
00:38:24,720 --> 00:38:30,400
a very loose thread that I can connect with all those years spent learning instruments and recording

416
00:38:30,400 --> 00:38:36,800
music. But you can, the next bit that I really got into was very much around finance and Excel.

417
00:38:36,800 --> 00:38:43,440
And I was in a world where you felt miles and miles away from what I'm doing now. It isn't really,

418
00:38:43,440 --> 00:38:49,840
you can learn about your particular part to improve that. I guess it all, all those skills

419
00:38:49,840 --> 00:38:55,200
built together and it's an opportunity to say, right, okay, well, I've done all this for my life

420
00:38:55,200 --> 00:39:02,640
and now I'm going to apply, like say sensor technology. It's so new, the IOT kind of

421
00:39:02,640 --> 00:39:07,760
said in the world. I just applied that to what I knew, which was facilities management.

422
00:39:07,760 --> 00:39:14,320
And that was in that particular world, earthquake or anything like a world shattering

423
00:39:15,040 --> 00:39:20,000
in that very specific niche of I've worked in facilities management. I knew the commercials of

424
00:39:20,000 --> 00:39:26,560
it. I knew how we could benefit it with IOT sensors, but I find a couple of things like that,

425
00:39:26,560 --> 00:39:35,280
that are unusual, say for instance, to be interested in building management systems or energy reduction,

426
00:39:35,280 --> 00:39:41,120
and then also the world of podcasts at the same time. And you're creating something that's really

427
00:39:41,120 --> 00:39:48,160
needed, because there's so much of a mixture of skills there that there's probably very few

428
00:39:48,160 --> 00:39:52,080
people out there doing it, nevermind doing it well. So it's really interesting.

429
00:39:52,080 --> 00:39:58,560
It's a thing, it's got no competition. What do you see? Like it's going to be next year.

430
00:39:58,560 --> 00:40:00,960
I'm just like, you know, they're going to be number one.

431
00:40:02,240 --> 00:40:06,880
No, you'll have a million views and then people will eventually go back here and then go and say,

432
00:40:06,880 --> 00:40:13,360
well, okay, I've mined all the episodes. So last one on the list, there's this guy, Shane,

433
00:40:14,480 --> 00:40:18,160
and then those people will listen to my main one.

434
00:40:18,160 --> 00:40:19,920
This is it. This is what it's all about.

435
00:40:19,920 --> 00:40:24,560
That was the strategic plan I made at 22 of how I was going to make it big.

436
00:40:25,200 --> 00:40:26,080
This is the long game.

437
00:40:26,720 --> 00:40:30,640
It's all part of a long game for me to become the rock star that I was always built to be.

438
00:40:31,440 --> 00:40:36,400
Well, Shane, thank you very much for explaining just everything. You've been very informative.

439
00:40:37,040 --> 00:40:40,640
We're now moving on to a section of the podcast that I like to do,

440
00:40:40,640 --> 00:40:47,360
like tailor a fun wee section to my guests and just ask them a couple of questions or

441
00:40:47,360 --> 00:40:52,160
discuss a couple of topics, get their opinion, like try to come up with a name for it.

442
00:40:52,160 --> 00:40:55,440
So this section is called VMS. Okay.

443
00:40:56,320 --> 00:40:58,160
It's called being more sustainable.

444
00:40:58,160 --> 00:40:59,360
Being more sustainable.

445
00:40:59,360 --> 00:41:00,000
Very good.

446
00:41:00,000 --> 00:41:00,880
Did you like that?

447
00:41:00,880 --> 00:41:01,120
Yeah.

448
00:41:01,120 --> 00:41:02,240
There's another skill set.

449
00:41:05,120 --> 00:41:07,360
Okay. Well, I'm going to ask you a question.

450
00:41:08,000 --> 00:41:10,480
If you don't know it, you have to leave immediately.

451
00:41:10,480 --> 00:41:13,040
You know, it's like, you don't know it.

452
00:41:13,040 --> 00:41:13,520
I have to leave.

453
00:41:13,520 --> 00:41:14,020
Yeah.

454
00:41:14,020 --> 00:41:20,340
Okay. Do you know when the first sensor was invented?

455
00:41:20,340 --> 00:41:25,460
The first sensor, like electrical sensor or, oh wait, I think I've seen something.

456
00:41:27,060 --> 00:41:31,140
I think I've seen something from Roman times. I don't know if that's like, you're probably

457
00:41:31,140 --> 00:41:34,740
going to say, no, no, she's wrong, completely wrong thing. It's 1963.

458
00:41:35,780 --> 00:41:40,020
But I think I've seen something, I have to feed back my memory kind of stuff.

459
00:41:40,020 --> 00:41:42,980
I don't know if it was in Pompeii or something along those lines.

460
00:41:42,980 --> 00:41:50,100
Maybe it was more along the kinds of times of Da Vinci, which is not very Roman at all.

461
00:41:50,900 --> 00:41:55,220
I'm going to go ahead and just throw out 1433 because Da Vinci time.

462
00:41:55,220 --> 00:41:56,660
You know what? You're so close.

463
00:41:56,660 --> 00:41:57,380
Oh, there you go.

464
00:41:57,380 --> 00:41:59,300
Like, yeah, 1917.

465
00:41:59,300 --> 00:42:02,900
Ah, okay. Yeah. I thought that was going to be the case.

466
00:42:02,900 --> 00:42:08,500
There was, there's genuinely, there's somebody made a system that was basically like,

467
00:42:08,500 --> 00:42:13,780
kind of like the way radiators work. I'm not even, I've obviously just fluffed that through there.

468
00:42:13,780 --> 00:42:15,300
So 1917.

469
00:42:15,300 --> 00:42:22,420
But pretty much what it was in 1905, there was just the discovery of the photoelectric effect.

470
00:42:22,420 --> 00:42:23,140
Yes.

471
00:42:23,140 --> 00:42:27,460
And then the invention of the photocell in 1917, like, you know,

472
00:42:27,460 --> 00:42:31,140
no, look, we're in our key developments in light sensor technology.

473
00:42:31,140 --> 00:42:31,620
Yes.

474
00:42:31,620 --> 00:42:32,340
So.

475
00:42:32,340 --> 00:42:36,100
Right. Okay. So, you know, you didn't tell me, you're talking about electric-based systems.

476
00:42:36,100 --> 00:42:39,620
I'm sorry.

477
00:42:39,620 --> 00:42:41,780
I would define a sensor beyond that.

478
00:42:41,780 --> 00:42:43,460
You know what? We'll go back.

479
00:42:43,460 --> 00:42:46,980
We'll go back. We'll find out what non-electric sensor is.

480
00:42:46,980 --> 00:42:50,660
And I guarantee you it was 1433 or whatever it was that I just said.

481
00:42:51,220 --> 00:42:53,620
I swear I wasn't just making that up.

482
00:42:53,620 --> 00:42:57,540
No, that's amazing. There you go. So we're in an industry where,

483
00:42:58,340 --> 00:43:04,420
you know, because this is mixtures between sensors and IoT is generally just using radio

484
00:43:04,420 --> 00:43:09,460
technology and sensor technology at the same time. And that's the general premise.

485
00:43:10,020 --> 00:43:15,140
There's not a lot more to it. Obviously, what you do with that data that you get is the really

486
00:43:15,140 --> 00:43:21,300
important and interesting part as well on top of that. But all these things are coming together

487
00:43:21,300 --> 00:43:27,220
that because the technology itself, again, just putting those two things together,

488
00:43:27,220 --> 00:43:31,140
even if you're looking at the oldest sensors, which is what, 100 years ago,

489
00:43:31,140 --> 00:43:36,500
that's not a long time considering how much innovation could be made off the back of that

490
00:43:36,500 --> 00:43:40,500
technology. We're still getting more and more and more out of the back. But it's a really interesting,

491
00:43:40,500 --> 00:43:46,740
I believe, a really interesting part of the world to be looking at right now.

492
00:43:46,740 --> 00:43:51,460
I wish I knew a little bit more about it, say, for instance, been the first one with built-in

493
00:43:51,460 --> 00:43:57,540
plants. There's perhaps somebody who is, I would have to be honest and say that my engineering

494
00:43:57,540 --> 00:44:02,660
ability, although I did well in my masters in IoT, I think there's, I could say, working with people

495
00:44:02,660 --> 00:44:06,660
who are really amazing in software and different pieces. There's people out there who are a lot

496
00:44:06,660 --> 00:44:12,820
better than I am in the engineering side of how sensors could work. One of the bits that I've

497
00:44:12,820 --> 00:44:18,820
always thought would be really cool, there's this thing called a microwave sensor. And essentially

498
00:44:18,820 --> 00:44:23,620
how it works is, I'm about to completely fill up this for anybody who actually knows how microwave

499
00:44:23,620 --> 00:44:27,780
sensors work, but you'll think I know how they work. Essentially, it's a bit like radar and they're

500
00:44:27,780 --> 00:44:35,140
really, really cheap. I think they're about 20p just to get this thing. So this sensor is able to

501
00:44:35,140 --> 00:44:42,580
tell whenever it kind of gets like a, it's almost like it gets a image of the room without, and then

502
00:44:42,580 --> 00:44:48,740
a few seconds later, it gets more like sonar. If you move the tool, it's able to tell the pattern

503
00:44:48,740 --> 00:44:54,180
difference. So it's able to tell occupancy, like occupied, not occupied. They don't really use it

504
00:44:54,180 --> 00:44:59,780
in any commercially available sensors, but this thing can actually see through walls. It's like

505
00:44:59,780 --> 00:45:04,740
it's like proper magic kind of stuff. It feels like it anyway. So a lot of the stuff we work with

506
00:45:04,740 --> 00:45:11,140
is about PIR. And it's like you'll see in most kind of commercial buildings, it's kind of able

507
00:45:11,140 --> 00:45:16,340
to see like vision and that you have a walk in front of it, picks up your heat signature. But

508
00:45:16,340 --> 00:45:21,300
microwave sensors, I feel like are something that if somebody's particularly interested in the world

509
00:45:21,300 --> 00:45:26,020
of making their own sensor, I feel like they're such a major opportunity with those. They're a

510
00:45:26,020 --> 00:45:31,220
little bit, because they kind of see through walls, they're not ideal for being able to pick up in

511
00:45:31,220 --> 00:45:35,300
this particular room that we're occupied because, you know, somebody out there could be moving and

512
00:45:35,300 --> 00:45:39,060
can also see them. It doesn't really curve. There's a wall in the way or whatever, but I swear there's

513
00:45:39,060 --> 00:45:43,860
something. There is something with those things that are, they, I couldn't believe how cheap they

514
00:45:43,860 --> 00:45:50,180
were. I couldn't believe how amazing that they can go meters away from where you are. It's a little

515
00:45:50,180 --> 00:45:54,260
creepy if you look at it as well, but potentially you can make something that doesn't creep you out

516
00:45:54,260 --> 00:45:59,700
of it. But it was, it's genuinely, whenever you see things like this and the engineers putting this

517
00:45:59,700 --> 00:46:04,260
thing to work. And one of the things that I did when I was testing out when I was a student was

518
00:46:05,140 --> 00:46:10,100
just something as simple as, you know, put this thing in a different room. And I walked into the

519
00:46:10,100 --> 00:46:16,260
building, away from the room, way through closed doors, a light comes on and there's nothing there.

520
00:46:16,260 --> 00:46:21,140
There's nothing that was actually able to, I could see that actually was able to tell just magically.

521
00:46:21,140 --> 00:46:25,380
It felt like magic. It genuinely felt like something you could go back 50 years or go back to

522
00:46:25,380 --> 00:46:29,540
the time when they made that original sensor and go like, yeah, when you see where this ends up.

523
00:46:30,580 --> 00:46:37,060
It felt like magic. You know, a lot of the things that we are going to build, a lot of your kind of

524
00:46:37,060 --> 00:46:42,420
medieval magic kind of ideas will be possible because of things that you just like, all right,

525
00:46:42,420 --> 00:46:46,420
there's a slight change in how you look at microwave sensing technology. And then all of

526
00:46:46,420 --> 00:46:51,300
a sudden you can tell if somebody's moving on the other side of the wall. It's absolutely mad. But

527
00:46:51,300 --> 00:46:55,860
yes, anyway, apologies. What other factoids have you got for me? Because you talk about microwave

528
00:46:55,860 --> 00:47:00,500
sensors all day. I'm trying to think, see, when talking about microwave sensors, I was trying to

529
00:47:00,500 --> 00:47:04,980
think of a pun off the top of my head. And I really, you know, I'm trying to think of a pun

530
00:47:04,980 --> 00:47:12,100
off the top of my head. And I really can't announce too late. That's not good. That's not good.

531
00:47:12,100 --> 00:47:16,580
You know what? You must have had plenty of time for that BMS one because, look,

532
00:47:17,780 --> 00:47:22,420
if you're having less amount of skills, this is the best part. This is a point in case there's

533
00:47:22,420 --> 00:47:27,220
people out there who will do puns way quicker and faster than you. But will they do microwave

534
00:47:27,220 --> 00:47:33,300
sensor based puns faster than you? Probably not. You know, so just have it. Take your time, go home,

535
00:47:33,300 --> 00:47:37,380
think about it. What microwave sensor could have been it? What kind of pun could you have done

536
00:47:37,380 --> 00:47:42,980
with that? But it'll be the best microwave sensor based pun that's ever happened. Oh, yeah.

537
00:47:42,980 --> 00:47:48,580
Yeah. You know, I know if you like, I'll make it seem natural in this episode, I'll just be

538
00:47:48,580 --> 00:47:53,140
added in. Yeah. The sign can be different. There'll be different platforms. That's going to be

539
00:47:53,140 --> 00:48:00,020
different. Yeah, I'll try. I'll try and work it out myself later. I'm just coming much lower in

540
00:48:00,020 --> 00:48:11,540
pressure. OK, brilliant. So no more factoid. So the Northern Ireland Energy Statement was released

541
00:48:11,540 --> 00:48:19,700
in December 2021. One of the months, definitely, I know 2021 was key, but it came out with an

542
00:48:19,700 --> 00:48:26,100
action plan after that. And I love talking about the Northern Ireland Energy Statement because

543
00:48:26,100 --> 00:48:31,780
it's the first one we have. And it sets out a clear list of what's going to happen, what the

544
00:48:31,780 --> 00:48:37,860
rules are, what we need to do for buildings. But because the work I've been doing, the work I've

545
00:48:37,860 --> 00:48:45,860
been doing for the past six years here, I would work with buildings over in the mainland, England

546
00:48:45,860 --> 00:48:52,020
or Scotland. And they've had maybe energy statements or energy action plans since 2006.

547
00:48:52,020 --> 00:48:55,620
Right. So now if we get one, I'm like... That's how early it came out for...

548
00:48:57,300 --> 00:49:02,580
Well, OK, so it said in an action that it's one of the actions supposed to prepare a Northern

549
00:49:02,580 --> 00:49:10,900
Ireland smart systems and flexibility plan. And I was going to originally take a snippet of that

550
00:49:10,900 --> 00:49:17,620
and I was going to roast this. I'm like, it is 2024 and there's still no plan. What's this about?

551
00:49:17,620 --> 00:49:22,180
But then I had to stop myself because there's a consultation currently out on it.

552
00:49:22,180 --> 00:49:26,260
There you go. That's the herd, your podcaster. They knew it was...

553
00:49:26,260 --> 00:49:27,780
Oh God. They knew I was going to talk.

554
00:49:27,780 --> 00:49:29,220
They were like, we need to roast us.

555
00:49:30,740 --> 00:49:33,620
It's just going to come up with a really clever pun eventually, by the way.

556
00:49:33,620 --> 00:49:36,420
And we're going to be screwed. That's the most important thing.

557
00:49:37,140 --> 00:49:43,140
But just to kind of reiterate what we're saying, it talked about the... So it's currently open

558
00:49:43,140 --> 00:49:47,620
and it's actually still open as we speak. OK, guys, it closes end of April.

559
00:49:48,580 --> 00:49:51,780
This will probably won't be released end of April.

560
00:49:51,780 --> 00:49:52,260
But like...

561
00:49:52,260 --> 00:49:56,740
Well, you missed your chance in Northern Ireland going down in flames.

562
00:49:56,740 --> 00:50:01,860
Exactly. Exactly. I'll give an update on the response of the consultation.

563
00:50:01,860 --> 00:50:07,540
They talked about the importance of monitoring and just kind of summed up exactly what you're

564
00:50:07,540 --> 00:50:13,460
saying. A smart and flexible energy system reduces consumer energy bills, reduces the

565
00:50:13,460 --> 00:50:19,300
amount of generation and network assets that need to be built to meet peak demand, and it

566
00:50:19,300 --> 00:50:25,300
gives consumers greater control over their energy bills through access to smart technologies and

567
00:50:25,300 --> 00:50:34,820
services. So... And this is... So I will... You know what? I'll put it out on Instagram tonight.

568
00:50:34,820 --> 00:50:42,020
And like, guys, don't forget to respond to this. But I just also kind of like the point,

569
00:50:42,740 --> 00:50:46,180
educating consumers on how smart or BMS systems work.

570
00:50:46,980 --> 00:50:51,940
Like, I know you're saying, like, yeah, dealing with people. Then if we educate them,

571
00:50:52,820 --> 00:50:56,900
they're likely to install them in their building. If they're installing their building, they lower

572
00:50:56,900 --> 00:51:02,260
carbon. Less carbon means less carbon emissions. We're saving the planet, like, slowly.

573
00:51:02,260 --> 00:51:06,900
That's exactly how this all comes back to me being a rock star and you being a podcast star.

574
00:51:07,620 --> 00:51:13,860
No, it genuinely... I'll give you a real world kind of reason of how that kind of looks.

575
00:51:13,860 --> 00:51:20,980
Eventually, people who are looking after facilities management or building management systems,

576
00:51:22,260 --> 00:51:26,900
small cohort of them will be interested in media about their job. You know, there's going to be

577
00:51:26,900 --> 00:51:32,500
very niche things that we just share a bit of information that whenever somebody comes up with

578
00:51:32,500 --> 00:51:38,020
a cool piece of technology, it's not the first time they're hearing about it. We've heard small

579
00:51:38,020 --> 00:51:42,260
samples of like, oh, that sounds really cool. You might hear me in the future, you know, like,

580
00:51:42,260 --> 00:51:47,540
you people who are the million listeners. And go like, I wonder what they're doing now.

581
00:51:48,580 --> 00:51:51,780
I realized that that... Because most of the problem that we have isn't so much

582
00:51:51,780 --> 00:51:57,620
developing the technology. We've got that. It's actually getting it out there. You know, a lot of

583
00:51:57,620 --> 00:52:04,660
people in their minds think, okay, well, in order to reduce carbon or to do any of these really high

584
00:52:04,660 --> 00:52:08,260
tech systems with the building management system. First of all, my building management system

585
00:52:08,260 --> 00:52:13,940
already does all this, which isn't true. The second part is it's really expensive and hard

586
00:52:13,940 --> 00:52:21,380
to do or whatever. It's just that's also not true. And I can try and pump money in a way

587
00:52:21,380 --> 00:52:28,020
into marketeers and everything. But regardless, the main piece is people just haven't heard yet

588
00:52:28,660 --> 00:52:33,860
that these innovations come through and it's in small pockets of the world. It's normal to

589
00:52:33,860 --> 00:52:39,380
have this kind of shift up and down of their energy to go with how people are using the building.

590
00:52:40,420 --> 00:52:43,540
And it's all about just connecting up those bits where you might be saying,

591
00:52:43,540 --> 00:52:50,900
well, all I have is I don't know necessarily much about the... Say for instance, from your side of

592
00:52:50,900 --> 00:52:58,420
things, maybe the sensors not massively been a big piece of how your background is based in sensor

593
00:52:58,420 --> 00:53:04,020
technology, but you're using your platform to be able to share that knowledge out there. And then

594
00:53:04,020 --> 00:53:09,140
all of a sudden somebody listens to that and you only need to get, there's probably only, I don't

595
00:53:09,140 --> 00:53:15,780
know, a few hundred BMS engineers out there on the island of Ireland. You only need to get to them

596
00:53:15,780 --> 00:53:20,740
to make all the differences for all those buildings across the entire island. And that's not a massive

597
00:53:20,740 --> 00:53:29,620
amount of people to make a massive difference. And that's kind of interesting where you only have

598
00:53:29,620 --> 00:53:34,740
to use your bit. You just have to focus on what can I do? And then eventually it ends up snowballing

599
00:53:34,740 --> 00:53:41,940
into something that's major. Like I said, it's never been a massive focus of mind, the carbon

600
00:53:41,940 --> 00:53:48,260
side of things of anything. In fact, in oil days it was trying to make the planet worse. But I can

601
00:53:48,260 --> 00:53:52,660
then realize that, oh, right, okay. It's actually, it's not something for somebody else to deal with.

602
00:53:52,660 --> 00:53:58,100
It's something for everybody can help in some kind of way. And me and you, even in the 30 under 30

603
00:53:58,100 --> 00:54:04,500
piece, oh, it turns out in here, there's only a small cohort of us. And then you can't really

604
00:54:04,500 --> 00:54:07,860
get a lot of people out there. There's a lot of us that are actually talking about the kind of

605
00:54:07,860 --> 00:54:12,900
building emissions. There's loads of people interested in all the other bits that carbon

606
00:54:12,900 --> 00:54:19,540
emission comes from or how to get the message out there. But all we can do, me and you, is just

607
00:54:19,540 --> 00:54:26,260
focus on those puns. We get some really particularly good puns out there. Somebody else will work out

608
00:54:26,260 --> 00:54:31,860
the IoT technology. They'll get it all going and save the planet. And it started right here.

609
00:54:31,860 --> 00:54:38,740
The business proposal, it's just like full of puns. It's like, you know.

610
00:54:38,740 --> 00:54:47,700
Yeah, that's great. Thank you very much. You've been absolutely brilliant to have on the podcast.

611
00:54:47,700 --> 00:54:55,060
Can I just say, really informative. So before we go, do you have one last bit of advice to any

612
00:54:55,060 --> 00:54:59,860
future engineers looking to get into this sector? Send me a message.

613
00:54:59,860 --> 00:55:08,260
One, because Smart Tech, our platform, is going to be the biggest thing in this particular field in

614
00:55:08,260 --> 00:55:12,340
about two or three years when you're listening to this. So send me a message and say, look,

615
00:55:12,340 --> 00:55:16,900
Shane, I listened to your music. It's unbelievable. Can I have a job?

616
00:55:16,900 --> 00:55:19,620
Yeah, that's actually prerequisite for that you give them an interview.

617
00:55:21,380 --> 00:55:26,980
That's the key. And then we'll look at your degrees and qualifications afterwards. But the main thing

618
00:55:26,980 --> 00:55:34,580
is really just being a big fan of that YouTube channel. Now, I would say the main takeaway I

619
00:55:34,580 --> 00:55:40,020
would have is that you could be sitting in something that doesn't feel very related to

620
00:55:40,020 --> 00:55:46,900
carbon or it's only passing in its relation. But at any time, you can be building all those skills

621
00:55:46,900 --> 00:55:53,700
and you don't know that in five or 10 years, as long as you build that interest in yourself,

622
00:55:53,700 --> 00:55:57,780
that it's always a perfect time to start thinking about that in your day to day.

623
00:55:57,780 --> 00:56:03,300
And you know, everybody has a job or a house that they're working in or they're living in.

624
00:56:03,300 --> 00:56:09,540
And you can start applying some of these bits of knowledge that it's there is actually quite a low.

625
00:56:09,540 --> 00:56:16,740
If I want to force it on the side of IoT, there's a little barrier of entry for applying a lot of

626
00:56:16,740 --> 00:56:20,820
this technology, a lot of it's quite simple to do. I mean, Smart Tech is the easiest thing if you're

627
00:56:20,820 --> 00:56:28,180
in a corporate environment. But there's things you can do at home with just Amazon sensors that can

628
00:56:28,900 --> 00:56:34,660
connect to the Wi-Fi. You go on to Amazon, there's loads of things that you can do just to make sure

629
00:56:34,660 --> 00:56:39,460
that even on your own scale, apply all the same principles with stuff that was never possible

630
00:56:39,460 --> 00:56:44,980
15 years ago. If you can just get a sensor that's able to tell when somebody in the room heated up

631
00:56:44,980 --> 00:56:49,380
and whenever you leave it automatically switches off. Have a little look on a YouTube channel for

632
00:56:49,380 --> 00:56:53,060
that. And that's your starting point. That's genuinely the kind of stuff that I was doing a

633
00:56:53,060 --> 00:56:59,860
couple of years ago. And you're making a platform that's that's the same rules apply. It just scales

634
00:56:59,860 --> 00:57:07,860
up. So yeah, that's that's the main thing. Don't feel that you are not capable of making your own

635
00:57:07,860 --> 00:57:09,860
you're changing your own part of the world.

636
00:57:09,860 --> 00:57:18,020
Yeah. Well, my advice is it's actually referenced. I remember the photo. So I think

637
00:57:18,020 --> 00:57:27,460
it's time. Remember the photo. So yes, I made a photo self-actoid. And I gave this. I forgot to

638
00:57:27,460 --> 00:57:32,660
do a follow up. So I'm like, did you like that? Did it keep you switched on? Nice.

639
00:57:35,220 --> 00:57:40,340
Still don't really see the microwave. It's going to need more time. It's going to absolutely kill

640
00:57:40,340 --> 00:57:43,700
you tonight. When you think about it. There it is. You have to let it cook. Like, you know,

641
00:57:43,700 --> 00:57:52,420
let it cook. Like that. OK. Yes. There you go. Yes. OK. OK. Podcast complete. Yeah. We did.

642
00:57:52,420 --> 00:57:57,060
There's now a million viewers. Yeah. Just logged off. Very good.

643
00:57:58,580 --> 00:58:03,300
Oh, brilliant. Oh, Shane, thanks again for being on the podcast. You'll definitely be back

644
00:58:03,300 --> 00:58:09,860
for more entertaining discussions and chats and yeah, and more promo for your music.

645
00:58:09,860 --> 00:58:15,700
Excellent. Of course, which is always the main. Yeah, the main. Yeah. Even I might actually start

646
00:58:15,700 --> 00:58:20,900
making some good music and some people listen to that. That'll be the intro for the next season.

647
00:58:23,460 --> 00:58:32,820
Actually, Beyonce is on a podcast for graphic design and graphic design and film. They have

648
00:58:32,820 --> 00:58:39,620
like what you were saying before, there's a little segment in it where they basically needed a little

649
00:58:39,620 --> 00:58:46,180
bit of music. And they called Laura, a fiancee, to go find somebody in the film industry, the next

650
00:58:46,180 --> 00:58:51,860
person in the industry to get on the podcast. And they called it Laura Goes Digging. And so they

651
00:58:51,860 --> 00:58:58,260
asked, would I be able to make a bit of music for that bit? Yeah. And that's we made like there's

652
00:58:58,260 --> 00:59:02,980
like a little segment where instead of introducing, they just press the button and it goes like Laura

653
00:59:02,980 --> 00:59:10,180
goes, that's probably the bit of music I've been most proud of in my life. I've probably got the most listeners.

654
00:59:10,180 --> 00:59:18,500
What's the podcast called, Tina? Opening credits. Opening credits. Opening credits. Okay. Very good.

655
00:59:18,500 --> 00:59:24,420
That's class. Well, shout out to opening credits. Like I love to. If you're in the overlapping

656
00:59:24,420 --> 00:59:28,900
world of being really interested in this side of engineering, but also about how they make

657
00:59:28,900 --> 00:59:34,340
movies and the graphic design side of things. There you go. You've just found two of your favourite podcasts.

658
00:59:34,340 --> 00:59:41,620
Brilliant. Okay. Well, thanks for listening to Carbon Climates. If you follow us on Instagram

659
00:59:41,620 --> 00:59:49,860
at carbon underscore climates, you can keep up to date with our latest news and articles and updates.

660
00:59:49,860 --> 00:59:56,100
And if you follow Shane Brady on YouTube, sorry, follow if you look up Shane, if you subscribe to

661
00:59:56,100 --> 01:00:02,740
Shane Brady on YouTube. You were in for a treat to listen to his album. I was actually trying to find,

662
01:00:02,740 --> 01:00:07,700
I was trying to search on Google for your name there. But like then it just came up, like not

663
01:00:07,700 --> 01:00:10,740
connected to internet. So I'm like, ah brilliant. Okay. Yeah. Well that's not going to help.

664
01:00:12,180 --> 01:00:16,340
I would also probably say you should probably look into Smart Work Plus, which is the whole

665
01:00:17,140 --> 01:00:23,300
thing that I do these days. Do that after the YouTube channel because the YouTube channel needs

666
01:00:23,300 --> 01:00:33,780
you more. But yes, absolutely Smart Work Plus. Thanks for listening. Bye.