YT YouTube2Text

YouTube2Text → Transcripts → From Wired to Wireless: Scaling Smart Building Integration and Energy Intelligence with IoT

From Wired to Wireless: Scaling Smart Building Integration and Energy Intelligence with IoT — Transcript

by LoRa Alliance · 8,913 words · 1,335 segments · language en · Watch on YouTube

Open in transcriber Summarize with AI Download SRT/VTT

Full transcript

0:00Alliance webinar.
0:03Hello everyone to the Lura Alliance
0:05webinar. Wire to wireless scaling smart
0:08building integration and energy
0:10intelligence with IoT. My name is Yan
0:12Philip Exner from Zenna International
0:14and I'm very happy to welcome you as
0:17host for today. Um on the next slide we
0:21do have some information about the
0:22housekeeping notes. So uh you have to
0:26know that this session is going to get
0:27recorded and you can see the video later
0:30on on the website of the alliance as a
0:34video on demand and uh you can type in
0:37questions regarding the webinar and the
0:39speeches all of the time and we answer
0:41them at the end of our Q&A session. So
0:45uh this is about the basic things from
0:47the housekeeping notes. Um on the next
0:50slide you'll see um that we have some
0:52information about the Laura Alliance. So
0:54I'll also keep it quite short at this
0:57point that um the alliance um has its
1:01journey from in the IoT landscape since
1:03more than 10 years and uh we are very
1:06glad that we um built up an ecosystem
1:09very wide which shows very good
1:12possibilities from various sectors and
1:14especially about the smart building
1:16domain that we are going to present
1:18today. Um
1:20in case if you haven't joined the lower
1:22alliance so far, there is a direct link
1:24to see uh where you can get there and to
1:28join the benefits as uh we have it also
1:30today during this webinar here. On the
1:33next slide, um I'm going to hand over to
1:37some kind of introduction that we're
1:39having today. And uh I want to also want
1:42to give some introduction regarding the
1:45reason and the success for scaling that
1:48we'll see here in the smart building
1:49sector for IoT.
1:52Um on the next slide um it's an
1:56information about uh where do we need
1:59the smart buildings in general which are
2:01the sectors which are relevant and are
2:04important. You can see that especially
2:06when it comes to the domains of the
2:08business, business owners, the
2:10residential domains and also industrial
2:14fields. We do have also in those fields
2:16or buildings which need to be uh
2:20improved with smart um building
2:22technologies with Lauravan and um this
2:25is all plays a role where you have the
2:27demand for monitoring and maintenance
2:31and where you also have and this is a
2:34very good point for Lola when it
2:36exceeding the technological requirements
2:38when you just need to have um a wide
2:41possibility of various ecosystem a very
2:44use case and where do you need to have a
2:46good ecosystem in terms of sensors,
2:49gateways and solutions and especially
2:52also when it comes to buildings where we
2:54later on see some very good examples
2:56from our speakers. We do have a lot of
2:59existing buildings but what we do um do
3:03need to have are existing solutions for
3:06retrofitting those buildings and this is
3:08a key uh component in order to make
3:11those use cases successful.
3:14Next slide. Um
3:17what is um the basic or one of the basic
3:20foundations of the things we're talking
3:22today are one of the findings that you
3:24can also see in the research study by
3:27Beum Research. Um this is going to get
3:31presented as well at the um at our Guru
3:34Alliance web page. And you see basically
3:37also the building sector itself as a
3:39very strong sector and uh you see also
3:42the strong dependences between the smart
3:45building sector as well as to the smart
3:47city uh topics because the use case
3:50often overlapping. uh me myself I'm also
3:54the the chair for the smart city at
3:56smart building work group and the reason
3:58also to bring those things together is
4:01that we also have in terms of the use
4:02case and also in terms of the the
4:05operating uses many correlating issues
4:08in the way where you see those
4:10overlapping use cases but we're going to
4:12focusing on a specific thing of the use
4:15cases by today just one pre thing on the
4:18you can see on the next slide those are
4:20our famous lura alliance infographics
4:24and uh as you can see all of those small
4:26yellow dots are dedicated use case that
4:29I just mentioned and as you can see here
4:32either it's a residential building or
4:34it's an office building you have many
4:37many uh different chances and
4:39possibilities of use cases to implement
4:42in either newly built things or
4:45especially the existing buildings and um
4:48also the modes of operation if you're um
4:51office operator of it comes to heat
4:53systems to energy monitoring are very
4:55wide and we will see a very good
4:57overview of those different kind of use
5:00cases later on on the next slide
5:04we're already
5:06in um in a way that we are scaling
5:10Lauravan we uh also saw in the beach
5:14research report that there was an um an
5:18annual growth rate from 60% full seen in
5:22the last years until 2028.
5:24And when you just take a look at the
5:26device, we're very proud as Laura Aines
5:28to exceeding at the moment 125 million
5:31of Luran and devices globally deployed.
5:34And if you take a look backwards in the
5:36last year, we had an annual growth rate
5:39of 25%. So this is actually a really
5:42impressive growth rate and shows the
5:44potential and the versatility of Luroan.
5:48The next slide is um is now the thing
5:52that I want to get on to the topics that
5:55we're talking today. So our topic is
5:57from wire to wireless scaling smart
5:59building integration with energy
6:00intelligence with IoT and I'm very glad
6:03and very happy that either you on the
6:06one hand side you as a visitor or
6:09audience are there but I'm very happy
6:10that I can uh present today a couple of
6:13lura alliance members to present their
6:15use cases. So we have from Elvis um
6:20talking about the building um and then
6:24for the heat system integration on the
6:26one hand side we'll have also Mario from
6:29um um
6:31from Terrocon um to talk about the
6:34evolution of um wired rooms classical
6:39wired rooms to wireless rooms. We have V
6:42Violeta from um climate talking about
6:44the thing about climate and energy
6:46controls and Mikuel from Veco about the
6:51smart buildings in terms of the
6:53monitoring and energy controls. So those
6:55is a very wide range of um of speakers
7:00and topics today embracing the whole
7:02topics of smart sensoring in the uh with
7:06the IoT devices in the smart building
7:08session. And now I'm handing over my
7:11virtual microphone to a from Elvis. The
7:14floor is here. Thanks a lot.
7:20>> Thank you.
7:22Um
7:24so as just a short intro, my name is a
7:27account manager of Elsis. Um, and a
7:30short intro of the company for those who
7:33don't know us. Uh, we're a Swedish
7:35wireless sensor manufacturer for smart
7:38building cities and industries and based
7:41in Sweden and have over 20 years of
7:44experience of developing high quality
7:47sensors. Um, quality and reliability is
7:50at the core of everything we do. And
7:54we focus on long-term performance, ease
7:57of installation, and also low
7:59maintenance for our products. And this
8:01has made us a trusted partner of
8:03customers um worldwide with more than
8:06500,000 sensors installed across a wide
8:09range of applications.
8:12And uh as you might know a lot of us our
8:15sensors are based for indoor climate
8:17control, energy efficiency, dynamic
8:20workplaces and uh industrial monitoring.
8:23And by delivering accurate and reliable
8:25data over many years, we help customers
8:28optimize buildings uh operations while
8:31reducing both costs and environmental
8:34impacts.
8:36So with the technologies such as
8:37Lauravan and others in our portfolio, we
8:40have the opportunity to to participate
8:43in many different projects across the
8:45market and uh all with varying needs.
8:49So today I would like to show you how
8:51you can work smarter in buildings and
8:54you can change the slide. Yes, thank
8:56you. Um smarter and buildings and
8:59significantly reducing costs at the same
9:02time. And this by showing two great use
9:05cases that our wireless sensors are in.
9:07And by optimizing how how energy and
9:10spaces are used within buildings, uh
9:13resources can be freed up and instead
9:15invested where they create real value
9:18for the business or society
9:22and I think you can change
9:25slide again.
9:29Yes. Uh in many properties today uh
9:31energy is used inefficiently without
9:33having anyone having full insight into
9:36it and uh buildings are heated even when
9:38they are empty. Ventilation systems run
9:41at full capacity in rooms that are
9:43rarely used and cooling is produced for
9:47areas where no one is present. This is
9:49not only inefficient, it also drives up
9:52energy costs unnecessarily.
9:54And uh one major advantage by using well
9:57wireless sensors uh in the is the
9:59flexibility of it. Uh sensors can easily
10:02be added even after a building has uh
10:05already been constructed without any
10:08costly rewiring or or major renovations.
10:13Um and this opens up a lot of
10:14possibilities for well property owners
10:17and facility managers to adapt and
10:19expand uh their smart building solution
10:22over time. Um,
10:25and the wireless installations also help
10:28reduce both installation complexity and
10:30overall project costs, making smart
10:32building technology more accessible and
10:35scalable.
10:37So, how do you take the step toward a
10:40more smart building? And in this case,
10:41we are going to talk about a more energy
10:44efficient building with wireless
10:46sensors. Uh and um one of our great
10:51partners Stockholm XGE from Sweden has a
10:54great example of this where they have
10:57installed sensors uh for their customers
10:59Stockholm. Um and that was to to measure
11:03temperature and humidity in apartments.
11:06It's one of Sweden largest property
11:09rental firms in Stockholm. uh and aims
11:12to become uh carbon neutral by 2030 and
11:16also reduce carbon emissions across its
11:18operations.
11:21So previously they adjusted the heating
11:23based on outdoor temperature but this
11:25often resulted in individual apartments
11:28becoming either too warm or too cold. I
11:32think we can change the slide.
11:41>> Yeah, thank you.
11:43Um the solution was wireless sensors
11:45installed in the hallway of each
11:48apartment and in total there were 22,000
11:52sensors deployed to measure temperature
11:54and humidity and the data sent through a
11:57gateway to the property owners building
12:00management system. And with access to to
12:03the real-time uh indoor climate data,
12:05they were able to optimize the heating
12:07and ensure a more stable indoor
12:10temperature in every apartment.
12:14As a result, this uh property owner
12:17estimated energy savings equivalent to
12:21heating demand of 1,200 apartments while
12:25also reducing operation costs by 6% per
12:29year. And this was the first year. Um,
12:32and this case shows how well smart
12:35wireless sensor technology and real-time
12:38data can transform property management
12:41from reactive to proactive. And um, by
12:46understanding the actual indoor climate
12:48in each apartment, the CP company was uh
12:51able to improve tenant comfort. they
12:54were possible to lower engine energy
12:57consumption and also significantly
12:59reduce carbon emissions which was in the
13:01case here. Um and the result clearly
13:05demonstrate that sustainability and
13:07profitability can go in hand in hand
13:08here proving that datadriven building
13:11operations are becoming a key part of
13:14the future and uh sustainable real
13:17estate as well.
13:19And I think you can change the slide
13:21here as well. Thank you. Um, but smart
13:25buildings are not only about energy
13:26optimization, of course. Uh, wireless
13:29sensors can also be used to optimize how
13:32offices and building spaces are
13:34utilized, for example. And this is
13:36exactly what we're going to take a
13:38closer look at now through one of our
13:41great fantastic partners, Aensa has been
13:43in H, and I think it's quite still
13:46ongoing. Um
13:48and just short, a Kenza platform
13:51provider uh worked with a Swiss um
13:54public organization and they needed a
13:57scalable solution to to monitor and
14:01improve the use of office spaces across
14:03its buildings with the goal of improving
14:07efficiency and also supporting long-term
14:11workspace strategy.
14:14So this project covered five buildings
14:16and included a deployment of our
14:19sensors, occupancy sensors across
14:237,600 desks and also in 1,200 meeting
14:27rooms.
14:30So this installation was of course with
14:33our sensors and as I mentioned before it
14:36eliminates the need for costly and time
14:38consuming cabling and uh extensive
14:42installation work. Uh instead the
14:44sensors could just be mounted directly
14:47on the walls or the desks and be up and
14:50running immediately.
14:51And through the combination with the
14:54with our sensors uh and the Aensa
14:57platform that gives you valuable
14:59insights of your building, the customer
15:01gained access to both valuable insights
15:05for reporting and also through a PowerBI
15:09dashboard. H they could also have the
15:11application of find your desk solution
15:14uh to help them quickly locate available
15:17workspaces in real time. For example,
15:21um
15:23this type of installation uh with
15:25occupancy in offices or large buildings
15:27is uh something we increasingly see
15:30across the market today. And the great
15:32thing is you don't need to decide today
15:33what your need will be before a building
15:36is constructed. You can expand the smart
15:38building solution over time.
15:41What is also great about an installation
15:43like this with desk sensors and a cupcy
15:46is that many of our customers uh by
15:49using real-time data organizations can
15:52reduce unused space, improve operational
15:56efficiency and in some cases even avoid
15:58unnecessary climate intensive new
16:01construction when sufficient capacity
16:04already exist in in empty buildings. Um
16:08so there's some very valuable insights
16:10here. Um and I think you can skip to the
16:13next slide.
16:17Um to conclude that was the two use
16:20cases that I had. Um and this example as
16:23I said before show how wireless sensor
16:25technology can help create a smarter and
16:28more sustainable and specifically a more
16:31costefficient buildings. And by using
16:33real-time data, these property owners
16:36can optimize both energy usage and
16:38workspace utilization while improving
16:42comfort for the people inside the
16:44buildings.
16:45And one big advantage, as I've said
16:48throughout this webinar now, is the
16:50flexibility for wireless technology that
16:52it enables. Um, you can easily add and
16:56expand after a building is completed. It
16:59not only lowers installation costs but
17:01also gives gives buildings the ability
17:04to evolve and become smarter over time
17:07as the needs and um opportunities arise.
17:12Um and that was it from from Elsis. Um
17:17thank you. Um
17:20yeah
17:28and thanks a lot Edah for this point. Uh
17:31the next one in our discussion round
17:33Marco deitz from Tamogan floor is yours
17:38may thanks for the introduction also for
17:40hosting us today for his webinar. Um as
17:44we already heard that today's webinar is
17:46under the scope of scaling smart
17:49building and integration and energy
17:50intelligence with IoT technology. We
17:54want to focus um
17:55>> oh um Marco your your um audio is a
17:59little fuzzy.
18:02>> Okay. So is it now better?
18:04>> Um wait can you try and talk again?
18:08>> Yeah. Hello.
18:09>> Uh no not really. Um, can you try
18:14replplugging in your headphones?
18:24So, I reconnected my phone. Hopefully
18:26now you can hear me perfect. Okay.
18:28>> Yeah,
18:29>> better.
18:29>> Yeah, many thanks. Okay. As we already
18:32heard that um the today's webinar is
18:35under the scope of scaling smart
18:37building integration and energy
18:38intelligence. We want to focus um today
18:42with our part here on the hybrid
18:44intelligence that um comes up if we
18:46combine wired and wireless technology
18:48together smart buildings and we want to
18:51have a closer look on um single room
18:54control for that. Yeah, my name is
18:56Marco. As already mentioned, I'm the
18:58technical product manager at um Tamocon.
19:00And since now nearly four years, we are
19:04doing we are producing sensor solutions
19:07for Hback applications and um yeah
19:09building automations.
19:11On the next slide, I want to start
19:14today's um on my part with a small
19:17dilemma that nearly hopefully everybody
19:20knows who is yeah in this building the
19:24building game. On the one hand side we
19:26have the user requirements on a smart
19:28building and the other hand side the
19:30operational requirements that somehow
19:33might stand against each other. Users
19:36for example want to have situational
19:39adaptive their comfort and well-being is
19:41very important and on the other hand
19:43side the costs for operate for running a
19:47building is also the most important
19:49point for the building operators.
19:53But a really smart building is not only
19:55dedicated to run somehow or to function.
19:58It also has to contribute to the um
20:01users um well-being within the building.
20:08Yeah, on the next hand side then we see
20:09how can wireless IoT technology then try
20:12to um solve this dilemma. How can um
20:15yeah this technology helps us with that
20:17and for that we want to go to the single
20:20room control case study as we at Tamocon
20:22see that um in the room in the real
20:24single room control this is where the
20:27energy is consumed where um that
20:29integration takes place as this is the
20:31place where um the users of the building
20:34are somehow connected with the building.
20:39Yeah, I guess the best step is that we
20:41first of all have a look on the status
20:43quo that we have in yeah commercial
20:45buildings. For sure you have many new um
20:49buildings which are freshly equipped
20:50with technology with some technical
20:52building equipment. They have um very
20:55good connectivity across all systems.
20:58you have data transparency and yeah they
21:01they are nearly optimized to find a
21:04balance between the users and the
21:06operators um operational requirements.
21:09On the other hand side,
21:12if we talk about um older buildings or
21:14all the let me say existing stuff that
21:16we find on the next slide here is that
21:20we often times see duplicated systems
21:23which are somehow installed in buildings
21:25and yeah which are no longer maintained
21:27and which causes a kind of data silos.
21:30That means data somewhere are exist in a
21:33building but they not coming out of
21:35that. And yeah most of the buildings we
21:38are living in um in the next um 30 to 40
21:42years are already built. That means we
21:45have enormous retrofit potential out of
21:47there. And yeah especially when we have
21:50a look on the latest papers from the
21:52European Union they estimate that around
21:5523 of uh of all buildings have this
21:59potential to be energetically
22:02um retrofitted.
22:05Yeah. Next we have to I want to um
22:09detail a little bit more what we
22:11understand with a single room control
22:12and why is um possible to why is it it's
22:16necessary to
22:18connect this in order to achieve an
22:20energy intelligence. There are typical
22:23components that you need for a room
22:25control single room control. It's a
22:27ventilation. It's um yeah fan call unit
22:29for example. It's a heating or cooling
22:31system. It's somehow an interface where
22:34you can control the room where you can
22:35um adjust something and you need sensors
22:38for detecting the room's actual status.
22:41In most times um this are wired somehow
22:45they are connected with each other and
22:47yeah the room is running for sure. You
22:50also see sometimes um radio or radio
22:53sensors which are radio devices which um
22:57which are also in the systems but mostly
23:00they are wired. If you have then an up
23:02connection to an upstream system like a
23:04building management system um those are
23:07most times realized by traditional um
23:10protocols like backnet mod bus and oh kx
23:14so what does this mean for us um if we
23:18talk about so many different components
23:21we'll see on the next slide that it can
23:23up in situations like that that you have
23:25um somehow points where all this cable
23:27came together and this causes real me
23:30masses And yeah, but on the other hand
23:32side um I guess everybody will agree
23:34that we won't get rid of cable in the
23:36future. They have their clear advantages
23:40where you have for example if you talk
23:42about safety where we talk about um the
23:44amount of data that can be transmitted
23:46about latency times. So we um totally um
23:51we are sure that we somehow will have
23:54hybrid solutions um within buildings
23:57also within single room controls also in
23:59the future.
24:02On the next slide I try to um yeah
24:05summarize how
24:07how such a um setup could look like in
24:10reality. You have this um the setup that
24:12I already mentioned the components that
24:14you need. Then you have a room
24:15controller that is yeah controlling this
24:18somehow and where you they are connected
24:20wirelessly
24:22wireless with wired together in order to
24:25operate the room as a standalone
24:27solution. The setup can be in 20 30 40
24:31100 times together in one application
24:34and then you can connect this via um bus
24:37protocols to an upstream system. But in
24:40many applications this connectivity to
24:43um building management system is not
24:45possible as there are no um wires for
24:49communication with the building
24:51management system and that is where
24:52exactly where Laura comes into the game
24:54and where we see the big advantage. If
24:58you change the interface between this
25:00room and the upper stream system for
25:03example with the Lauravan interface, it
25:06opens up all these advantages that
25:09Lauravan gives you which we try to
25:11summarize on the next slide.
25:15If you have a Lauravan um communication
25:18for from the room directly to an
25:22upstream system, you can take advantage
25:24of keeping the legacy infrastructure as
25:26it is. you are not forced to remove all
25:28the components which are within a room
25:31um and just have to add an additional
25:35interface to it for connecting it to
25:38yeah all well-known systems to building
25:40management system or also to cloud-based
25:42control algorithms to um yeah
25:45optimization algorithms that also can be
25:47um executed then on that part also it's
25:50very easy to um use this for retrofit
25:53applications that means you don't have
25:55to shut down um a room for lay for
25:59running communication cables to it
26:03or establishing a bus connection. Um you
26:07can also take advantage of the big
26:08coverage that Lauravan
26:11gives you within a building due to its
26:13deep um radio penetration.
26:17Yeah. typical use case where this
26:20application can be
26:23can be run or is installed that we find
26:25on next hand slide I try to um work it
26:28out a little bit is typically for
26:30apartment hotels or offices. This are
26:32most times applications which are
26:35somehow similar to each other. the rooms
26:37are comparable or the
26:40the units are comparable and for for
26:43that application it's very easy to
26:46achieve this scalation that we talked in
26:49the beginning and in the end also this
26:53energy intelligence when we are able to
26:56control the energy consumption that we
26:59need for the single room control
27:02yeah there I hope um that that part I
27:05could make clear how we see that yeah
27:09wired and wireless solutions together
27:12can help us to um integrate the scaling
27:17to increase this um smart building
27:20integration and scale it and also to
27:22increase the energy intelligence um with
27:25I in buildings when we are able to yeah
27:30control the energy consumption directly
27:33um in the buildings
27:35That's it from my side so far and then I
27:38hand over to Violeta from M Climate
27:42to see what they want to present to us.
27:45Many thanks.
27:48>> Thanks Marco. Hi everyone. Um really
27:50nice to be talking to you today and
27:53joining the Laura Alliance and uh some
27:54ecosystem partners to discuss the topic.
27:57It is quite a range of topics uh that we
28:00have to cover. Uh Eda mentioned um the
28:02challenges of buildings. Uh also Marco
28:04managed the integration piece as well
28:06and I'm really going to focus also on
28:08the IoT and BMS. Uh if we can move on to
28:11the next slide, just a few words about M
28:13Climate. Uh we company uh based in
28:16Bulgaria. We produce in two
28:17manufacturing facilities um there. Um
28:22all of our clients are around Europe,
28:24but we're also covering now USA and
28:25Middle East with over 60 markets. and we
28:28have over 2,500 um international
28:31clients. U what we focus on is not
28:34simply sensors, we also do a lot of
28:36actuators. And I think the beauty of uh
28:38the system is that we're not only
28:40monitoring and sensing the data, but we
28:42also allowing people to control it. On
28:45the next slide,
28:47I'm just going to briefly talk about BMS
28:49and IoT. uh historically BMS and IoT
28:52were in a bit of a competition and uh
28:54people who are focused on BMS were
28:56seeing maybe IoT is a threat and again
28:59the evolution of IoT and Laura 1 is just
29:02a it's a way to show that actually IoT
29:05works on a big scale. So some people got
29:08discouraged in the past using B2C
29:10technologies like Wi-Fi, Bluetooth,
29:12Ziggb uh to achieve something that uh
29:15wasn't possible. So right now we have uh
29:17Laura 1 as a scalable technology that
29:19allows us to have battery operated
29:21devices with 10 years of battery
29:23lifetime. I think no one mentioned that
29:25um so far but really that's a key
29:27differentiating factor for most of our
29:30customers uh which are building
29:31something to scale. So BMS on one side
29:34was built for the plant. It was not uh
29:36allowing room by room control. One of
29:38the part most important part is that
29:40this was based on cost. So again, you
29:43had zone level, HVAC control, um
29:45different chillers and air handling
29:47units, but none of them had the data
29:49points that they required to make the
29:52building more efficient. So all of the
29:54BMS that's existing in place is uh
29:56sometimes legacy BMS from 20 years ago.
30:00Some buildings don't even have a BMS.
30:02And again, it all required a lot of
30:04wiring, costly work, and slower
30:06repayment. So if we were to add wired
30:08sensors to for room control, we had to
30:11close a building have a downtime. Right
30:13now with the Laura one IoT technology,
30:16we have really no downtime uh for
30:18closing a building. We can automate it
30:20within a day. Uh we have customers with
30:23over 100 to 200 rooms that are
30:25automating a building within a day and
30:27really that's uh with minimum uh
30:29downtime for um any operations of the
30:32building which allows also a quick
30:33repayment. Again, nothing that we talked
30:36so far about, but all these savings that
30:38can be achieved with a combination of
30:39BMS and IoT will allow a return
30:42investment within uh one heating season
30:44or cooling season depending on the
30:46geography to two. And that is quite um a
30:50big selling point for the combination of
30:52the two technologies. So when we bring
30:54those two together, we actually give BMS
30:57better inputs. We're not saying that
30:59they're competing with each other,
31:00they're complementing each other. We
31:02also allow operators who are knowing the
31:05experience of BMS to something that they
31:08already know instead of using a software
31:10on top of that they're just uh getting
31:12more data points into the system that
31:14they already know and operate. So we are
31:16also removing um most of the cost
31:18required for further wiring and then we
31:21kind of unlock this whole project um
31:23value that stays within uh losing the
31:27room by room control and just having a
31:29zone level uh BMS system. Again on top
31:32of that we have a lot of partners that
31:33use AI to do analytics uh for example
31:36with the seaman's connect box and bible
31:39in Switzerland. So really the
31:41opportunities for BMS and IoT go further
31:44beyond in the future uh with AI. Uh on
31:47the next slide
31:50it's just a quick presentation of power
31:52sensors and actuators. So um in addition
31:55to the standard sensors like humidity
31:57and temperature and occupancy we have
31:59developed a lot of actuators who control
32:01which allow you to control around 80% of
32:03the energy in the building. This is
32:05quite significant for retrofitting and
32:07again most of the retrofit is based on
32:09older buildings historical heritage
32:11buildings that really have thick walls
32:14where the lower one technology is best
32:16um applicable for. So on one side is the
32:19first Laura one tier view on the market
32:21which which we allow to have up to 35%
32:24savings by just using uh that retrofit
32:28alone. On the other side we have fan
32:30code thermostats um something like the
32:32the presentation as well. It is uh a
32:35wired piece that allows you to control
32:37the building cooling and heating. Uh and
32:40again it is allowing you to on board on
32:42a room by room basis. We have the
32:44wireless thermosite as well that allows
32:45you to control multiple TRVs in a room.
32:48Uh it has occupancy detection so you can
32:50make scenarios around if a building is
32:52not occupied or a room specifically is
32:54not occupied you don't have to heat it.
32:57And we're launching soon um smart AC
32:59controller in most of the warmer
33:01countries in the Mediterranean. we have
33:03a lot of individual split AC units that
33:06are not controlled within the BMS. Um on
33:09the next slide,
33:13since I mentioned actuators again to the
33:16standard humidity and temperature
33:18sensors and the standard humidity and
33:20temperature sensors with occupancy
33:21detection, we have developed a few
33:23switches. Again, the switches are a very
33:26it's a cabled way again, but very much
33:28easier to install. They fit between any
33:31uh switch or power socket and allows you
33:34to take over control of let's say
33:36vending machines, fans, presentation
33:38screens, even uh desks at um the office
33:42where you can just uh first get uh
33:44metering if you need it's submetering so
33:47electric power control. You have the dry
33:49switch as well uh which allows you to um
33:52have um the dry switch relay for on and
33:55off and it allows you to put schedules
33:57in all those uh equipment that you have
33:59plugged into a socket. On the next
34:02slide,
34:05I think here I just picked a few cases
34:07uh just to illustrate the BMS and IoT
34:10together. Instead of just having IoT uh
34:13data going into a platform that is not
34:15connected to the BMS, uh I've picked
34:17some examples where these two
34:19technologies work together quite well. I
34:21probably won't have time to go through
34:23all of the examples. I will pick one or
34:24two. Uh here is educational
34:26institutions. I have another slide that
34:28is about health care and we have uh
34:31public buildings and offices. But
34:33essentially u at your own time I could
34:35share more slides but right now I just
34:37want to illustrate how easy it works to
34:39have the BMS integration. So you
34:41wouldn't necessarily have to do uh
34:43coding and a lot of work on the on that
34:46piece. You will have to have the sensors
34:48on one side and the actuators that I
34:50mentioned. You will have a gateway that
34:52is not a standard Laura one gateway.
34:54It's a Laura 1 gateway that converts
34:56Laura 1 into uh BMS protocols like
34:59backnet mob bus kx 3D omniadara. So
35:04essentially um your your setup is quite
35:06easy. Again, we still have one gateway
35:08for the full fuel building. Maybe two,
35:10maybe five. In this case of the Brussels
35:13University of British, it's uh nine
35:15gateways that we had. Uh it's quite a
35:17wide building. Again, right now we have
35:19uh 420
35:21Vicky's and another 200 air quality
35:24sensors, but the installation itself,
35:26the nine gateways cover um 2,000 devices
35:29that we're currently installing without
35:31needing to add more gateways because we
35:33managed to get the whole building uh
35:34with that. With the first pilot phase,
35:36we managed to save 31.5% of the energy
35:39cost. There was a gateway in the middle
35:41from Colorado that made those uh points
35:44from the Vicki uh as native objects to
35:47the backnet BMS and that was really u an
35:50easy way to do it. So the the university
35:52itself with its own facility management
35:54and property management together with
35:56Colorado which was the gateway
35:57manufacturer managed to install those uh
36:00devices quite quickly and get to those
36:02returns within one year. Um on the other
36:05side I'm just showing another uh school
36:07again over three floors. uh it's
36:09classrooms and some apartments uh 130
36:12devices uh a few third party sensors
36:16this is also illustrating the beauty of
36:17Laura 1an it's open protocol you can mi
36:20mix and match different sensor providers
36:22and manufacturers and then integrate all
36:25this data uh without without any
36:28integration issues with the existing uh
36:29building management system in this case
36:31we achieve 35% savings again from
36:34switching to normal from normal TVs to
36:36the dickv
36:38Laura one tier V and got to 18 months
36:41return investment achieved. On the next
36:44slide
36:56Chancy
37:01>> is it not showing?
37:03>> No.
37:03>> Okay.
37:04>> Oh yeah. Yeah.
37:05>> Okay. Great.
37:06>> So yeah. So this is just an example and
37:08I won't won't walk through all of the
37:10examples here. Uh it's just mentioning
37:12that healthcare and welfare again
37:14historical buildings that are uh with an
37:17old BMS system are very much um our
37:20target to benefit from energy savings
37:21and in most cases we've proven the 30%
37:24savings and 30% and above savings. And
37:27here it's just another illustration that
37:29it doesn't matter how big your project
37:30is. on on the very right right hand side
37:32we have uh rehabilitation center in
37:35Norway with only 70 devices and on the
37:38other side we have the 2,000 devices
37:40that I mentioned in the university so
37:42really doesn't matter the scale of the
37:44project everything can have the BMS
37:46integration with IoT here I think I have
37:49two more examples of different gateways
37:52in the middle like the seams connect box
37:55and cycling BMS essentially they allowed
37:58those uh Laura one points data points
38:00points to come as native uh in the
38:02integration to the existing BMS allowing
38:04for this to scale much quicker uh for
38:06all sorts of um institutions and again
38:09uh thank you very much for the time and
38:11um I'll hand over to Michael and yeah
38:14the slides will be available with more
38:16details from us on the integration
38:17between BMS and IoT.
38:28Hello everybody. Uh well, thank you very
38:31much Vonita for the introduction and and
38:34to my other uh colleagues from the
38:37industry for for all this insightful
38:40information. So let me present myself.
38:42I'm Michael. I'm an account manager at
38:45Wico overlooking the international
38:48business. Um maybe just a few words
38:52about what we we come from if we thank
38:56you. Uh so WCO is a is a European
39:00manufacturer of Lawan sensors. We're
39:02actually based in France. We have a
39:04couple of ENT entities. We do produce
39:06our products locally in France. So there
39:09are 100
39:11French bred devices. Uh to date uh Wico
39:15has um has uh over
39:2040 plus certified Lauraan devices. Uh we
39:25also have
39:27OEM activity. Uh
39:30actually WO is is a has a 30-year-old
39:34experience in RF technology and
39:38obviously many manufacturing electronic
39:41components.
39:42Uh so altogether we are based out of
39:45Briti where everything happens. And uh
39:48really today the idea is for us to show
39:52you how scalable uh uh we can provide
39:57help our partners obviously being in the
40:00Lawan environment it's a entire
40:04ecosystem just not collecting data from
40:07a Lawan standpoint but there are we also
40:09have other industry partners on which we
40:13heavily rely on in order to to build
40:16projects. So it's like more like a team
40:19effort. Um we do have interoperable
40:25wireless sensing solutions. uh and maybe
40:28a little note on the various challenges
40:32that we face uh in the industry whether
40:35it's in smart building whether it's in
40:38energy efficiency uh industrial
40:41environment or also uh we we we cover
40:45ATEX certified environments in some
40:49cases which include explosive
40:52environments. So uh Wiko is also al also
40:56specializes in in that department. Um
41:01so maybe if we can move to the next
41:03slide. Thank you.
41:07So uh about all about what products um
41:11we try to make it seamless as possible
41:14to uh integrate our products in in the
41:18the ecosystem. Obviously, I'm sure most
41:21of the people are more than well aware
41:24of the uh the uh the law architecture
41:27and and what it needs to to to bring. Um
41:31so maybe we can skip that one and move
41:34on to the next slide please. Uh Chy.
41:39Uh so seamless integration into building
41:42ecosystems. So obviously the the overall
41:46idea is to uh is to make it as simple as
41:49possible. I mentioned several partners.
41:53There are a lot more than the the ones
41:55which are actually shown here. Uh but we
41:58are talking about gateway manufacturers.
42:00We're talking about LNS providers and
42:05and um well application desks or
42:10application platforms where actually
42:13data is is is read. Um the overall idea
42:18is that we try to uh have as much
42:21partnership as possible to have native
42:23integration with the LNS major LNS and
42:27IoT platforms and obviously have
42:31an extended compatibility such as
42:33backnet for instance. I believe that my
42:35my previous colleagues mentioned that on
42:38on a on a larger scale as well. Um next
42:43slide please.
42:50Uh just to give you a very brief
42:52overview of some of our products uh
42:56linked to the air quality uh
43:00we we talked about uh a lot in the
43:04previous sessions or in the previous
43:05examples of indoor air quality. So uh
43:09yes what is is part of that uh or as
43:14well typically I can we can show typical
43:18product measuring various parameters
43:20within the indoor air quality management
43:23and I believe that Vita mentioned a key
43:26element of the Laurawan devices which is
43:29obviously the uh the length uh that is
43:34possible with with Lauraan sensors.
43:36Obviously they are low power and and
43:39very long range. Um maybe one point
43:43where I would like to insist a little
43:45bit more is to go a little bit further
43:47than just the indoor management of the
43:51smart building. Uh but actually looking
43:54at the broader view of the uh smart
43:58building. Uh we we already mentioned
44:02ventilation. So to some extent it's it
44:06in a lot of cases it happens down below
44:09outside
44:12in in difficult places where it's
44:15accessible. So we have another devices
44:17device device typically in order to
44:20measure um the differentiatorial
44:23pressure of an HVAC system in order to
44:27accurately monitor it from a from a
44:29distance. Um if we can move to the next
44:32slide and I would like to introduce you
44:35to uh something that we may not see as a
44:39user within the indoor quality
44:42management uh air quality management.
44:45It's the uh products more related to the
44:50energy efficiency where we actually
44:53focus on meters. Uh and at Watu we we we
44:57carry a full range of different uh um
45:00devices enabled to uh read all type of
45:04meters ranging from water, electricity
45:08and gas. Uh typically uh these meters
45:12are are
45:15well our devices are more rugged into an
45:17industrial environment because these are
45:20uh uh down in the cave or where where
45:25all the the metering happen in the in
45:28the basement of a building for instance
45:30and clearly the Lawan environment
45:33enables uh to get access uh to to to to
45:38to these difficult parts
45:41enabling remote monitoring. Uh so in
45:44terms of energy efficiency typically a
45:47couple of devices um either by flash
45:52monitoring typically for electricity
45:54meters or pulse monitoring uh which
45:58would relate to water, gas or or even
46:03electricity to to some extent with again
46:06a large uh uh life battery lifetime. Um
46:11maybe you can move to the next slide
46:13please Jansy.
46:21So, uh, focusing on on one of the use
46:25cases that that WCO has been able to to
46:28put forward with with its uh with its
46:31ecosystem partners is looking at a huge
46:35camping and remote mobile homes. uh
46:39where we actually deployed uh efficiency
46:43monitoring devices such as the the
46:45flasho in this case uh which uh is a
46:49meter electricity meter reading device.
46:52Uh so overall more than 300 devices were
46:56were spread across the uh the site in
47:01order to um
47:03do submittering monitoring and
47:06consumption tracking. Um so uh the idea
47:11was to have the devices extremely easily
47:16um deployed. Uh it's almost plug and
47:20play. Um
47:22we bring up uh the um the the insurance
47:27or the ease of having an autonomy
47:30battery life span of of about 12 years
47:34which is huge for a site like that. So
47:36you don't have to worry about changing
47:38anything. Um
47:41and maybe moving to the next slide so we
47:44can go a little bit more into details of
47:45the into how this really benefited uh
47:49for for this campsite. Um so as I
47:52mentioned we deployed about 300 plus
47:56electricity meters. Uh as you can easily
47:59understand uh we eliminate uh the manual
48:03reading because now it's all remotely
48:06monitored. Um
48:09we can create alerts or have immediate
48:13detection of over consumption or
48:15abnormals consumption. Typically um it's
48:18a very simple retrofit.
48:21uh so that makes it uh seamless for for
48:25the integrators to uh to to to use that
48:28and obviously uh turns turns out to be a
48:32very scalable infrastructure for uh for
48:35future energy services.
48:38So
48:40overall um that's uh that's about it on
48:44what equals part. Uh I would like to to
48:47to thank you for for your attention. Uh
48:50and uh um I will hand it over back to uh
48:54Yan from Zaner who will take over in in
48:59terms of questions and answers and uh
49:02and follow up with that. Thank you.
49:05>> Thank you Michael for your for your
49:06presentation. Um and also thank you to
49:09all of the other speakers to your for
49:11your talks. Always impressive to see how
49:13wide the range of solutions for Lurovan
49:16is. Um taking a first look to the
49:20questions. There was one uh questions
49:22coming up about just right at your uh
49:26call Michael about the that luran
49:29provides a lot of advantages for energy
49:32for quality aspects but the energy
49:35consumptions is a significant challenge
49:38to monitor. So this is true but I think
49:40also you gave a quite good example how
49:42wo in this manner managed to focus on
49:46the energy consumption as well as in the
49:48talks from Marco and uh I guess also
49:52Vleta and EDA more or less all had some
49:55content about the management of energy
49:58consumptions with Laura. Is there
50:00anything from the audience uh to give
50:03more insights about what is there
50:06specific issue about energy moni energy
50:08consumption with Lauravan?
50:17I guess it was quite a comprehensive few
50:20that we got here. In case if anything
50:21comes to your mind, just let us know.
50:25I'm heading over to the next questions.
50:27Um so I think this is regarding via
50:31letters uh presentation
50:34um that the um the the the savings were
50:40quite high and um
50:45how it was calculated was it the 30% of
50:49energy savings which is calculated in a
50:51one two or three year return of
50:53investment
50:54>> so yeah I think I mentioned the return
50:56on investment period In most of the
50:58cases uh the around 30% is uh repayment
51:02within the first year of operation. So
51:04one heating season 12 months uh usually
51:07six months of heating or a maximum two
51:10years depending on the energy prices.
51:12Again most of our installations when
51:15it's hardware um and the and the gateway
51:17and the infrastructure repay themselves
51:19within the first or the second year of
51:21operation. The actual savings the way
51:23they are calculated is weather
51:24adjustment savings. So essentially it
51:27will take down the effect of weather uh
51:29getting warmer let's say in in the
51:31winter. Uh but yeah the usual range is
51:3315 to 35% and return on investment
51:36within one or two years depending on the
51:38energy price.
51:40>> And I guess thank you I guess it comes
51:43from uh it also addressed to you from
51:45the same person. What in your opinion is
51:48the largest challenges to overcome
51:49installation? Is it battery usage
51:52powered uh or um what is the what are
51:55the challenges in installing the devices
51:58and maintaining them?
51:59>> Um I think there is not that much of a
52:02challenge in installing the devices. Uh
52:04pretty much most of them are taking one
52:06to five minutes to install. I think uh
52:09the integration piece when we talk about
52:11IoT and BMS could be more challenging
52:13but that's why we used the recommended
52:16gateway manufacturers that have made
52:18that onboarding process quite quick. So
52:20essentially instead of people having to
52:22write their own drivers or do the
52:24integration themselves there is now
52:26gateways from uh semens multitech that
52:29has this BMS integration done natively.
52:32IQ Nexus is another example. Vatsense.
52:34So really I think the Laura one market
52:36has evolved into removing that
52:39operational challenge. It's not the
52:40installation uh in this in this case.
52:43It's kind of the integration piece
52:44between the Laura one technology and the
52:46existing BMS. And this has been kind of
52:48solved by our partners.
52:51>> And I can also say from my perspective
52:53the advantage of Laura to be that energy
52:55efficient uh that you have devices in in
52:58the feed for for a couple of years. It's
53:00just a a huge benefit just compared when
53:03it comes to thermal set controls where
53:06you in the old days has to go there a
53:08couple of times in a week. So this is a
53:11huge benefit in terms of labor cost
53:14efforts that we're raising here.
53:17Um next question there is also the
53:20question uh about uh there seem to be a
53:23lot of developments of Laura
53:24technologies in internal building
53:26management systems. What are few? I
53:29think it's addressed to the whole group.
53:31What have you seen in terms of
53:32development a need for outdoor climate
53:35sensing controls and building
53:36applications? I guess it's uh it intends
53:39to somehow refer to outdoor climate and
53:43indoor climate itself. Does anyone from
53:45Europe want to answer the question
53:53again? I'm noting it. What have you seen
53:56in terms of development? Yeah, maybe I
54:00can try to I mean looking at outdoor
54:02environment I mean I believe that
54:07we we we uh we also have quite a lot of
54:10outdoor products. So we do understand
54:13the uh the the necessity for uh making
54:18the products uh outdoor ready uh which
54:22is already a big challenge. I think we
54:24uh nobody's not aware everybody's well
54:27aware of of the IP the different IP
54:31ratings whether you have any kind of
54:33humidity or you need full waterproof
54:36devices in in outdoor management
54:38especially when you're close to water
54:40meters or purely outdoors and that that
54:43requires a lot of attention. Uh so
54:46that's uh I hope this tends to answer
54:50the the initial question. Um
54:54>> yeah, thank you.
54:57Um I guess it's it gives a a good um
55:00answer for that one. We have a couple of
55:03more questions coming up. So I'm heading
55:05to the next one. So there is a question
55:06about what is your opinion about
55:08batteryless solutions in smart building.
55:10So uh of course those devices existing
55:13also with Luron. We uh use case wise
55:17have now a lot of um partners here
55:19within the webinar. I guess none of you
55:21offers better batteryless
55:24devices, right?
55:26>> Do we have some? Yeah, maybe Eda has as
55:28well. Sorry.
55:29>> Okay, so go on.
55:31>> We use uh solar solar technology and
55:33solar panels. So, essentially they're
55:35light harvesting indoor and outdoor.
55:37These are quite good for CO2 monitoring
55:40and humidity and temperature monitoring.
55:42When it comes to actuators, they consume
55:44a lot more energy like the TRV. And
55:46there are some energy harvesting um
55:49solutions on the market. But right now,
55:51um we believe that energy harvesting for
55:54actuators is much more complicated. You
55:56still need to have um battery embedded
55:59and again that has a life. So even
56:01though they're marketed as batteryless
56:04devices, they actually have a
56:06capacitator inside uh which is a is is a
56:10sort of a battery. So we think that it
56:12works for humidity and temperature for
56:14CO2 uh light solar panels do work. Uh
56:18energy harvesting for actuators a little
56:20bit different story
56:27>> you're nodding your head.
56:30same.
56:30>> Yeah. Yeah. We have a better batteryless
56:34sensors ourselves um solar panel and uh
56:39I really really do think it's the
56:40future. Um it not only measures the same
56:44thing as all other sensors for example
56:46in our portfolio but it also one key
56:49point is that it reduce the maintenance
56:52of u going and
56:55taking out the batteries and changing
56:57them every year. It's a lifetime sensor,
57:00so it really is the future, I think, and
57:03it has a some great great uh valuable
57:07benefits with it. So, yeah, absolutely.
57:09I believe it's the future.
57:12>> Thank you, Eda. Uh the next question, uh
57:15very happy to see the name Remy, a
57:17well-known person in the alliance, uh
57:20asking the the very good question about
57:22what about matter? Uh so does anyone
57:24here within the the speakers round have
57:27any specific experience with matter as a
57:31standard connecting those various
57:34worlds?
57:43>> Sorry. Uh where are you talking about
57:45meters?
57:46>> Matter matter the the matter standard.
57:49So
57:51>> not meters. Sorry matters. No, I got it
57:53wrong. Sorry.
57:57>> No, it it came up a couple of years, but
57:59it seems to be much more um especially
58:03in the smart building market being more
58:05prominent there. So from your mline and
58:09fate and also
58:14have you any kind of projects who refer
58:16which are explicitly using matter or do
58:19you have any kind of matter experience
58:21in that sense?
58:23>> Uh we don't we have done research and
58:25development on the technology itself or
58:28the connectivity part of it. uh but we
58:31we thought it's more B2C market or I I
58:34need to check but if that person who
58:35asked the question we have some research
58:37available to compare it maybe with Laura
58:391 but the reason why we stayed with
58:41Laura 1 at the end is the battery
58:43lifetime the price of the components and
58:45uh really the connectivity benefits uh
58:48but yeah I can maybe provide some um
58:50research from from our team on on the
58:52matter
58:54>> thank you what also I can say from
58:56designer perspective is that also we saw
58:59matter at least at the stage now in the
59:02B2C uh perspective there. Um but the
59:06more it's getting popular to the B2B
59:08market of course I think all of the
59:11device manufacturers are going to take a
59:13deeper look to it. But at the moment uh
59:17it isn't as far as it can go but maybe
59:19we would have such kind of a kind of
59:21webinar next year at the same time the
59:23situation might have changed.
59:26Um let's just look and then the last
59:29question is um
59:32quite a general question. Uh are we
59:35research wise how active are the uh
59:37companies here with you universities in
59:40that in that sense? Is there any kind of
59:43specific research project uh somebody
59:45wants to refer?
59:55I mean I would say but I also can say
59:57from my perspective that I mean more or
1:00:00less all of us are actively in internal
1:00:03research but especially when it comes to
1:00:05to the building aspect this is and in
1:00:08the B2B market this is quite a a
1:00:11specific thing another foundational
1:00:13research so the the scope of traditional
1:00:16research projects with European
1:00:18universities might be limited but it
1:00:20doesn't mean necessarily that we don't
1:00:22do any kind of research going over it
1:00:24but uh uh the scope is maybe not on the
1:00:27traditional theoretical research in that
1:00:30way with classical university research
1:00:32projects.
1:00:36Okay. Well, uh I see in my question
1:00:41screen no open questions so far and we
1:00:44almost precisely hit the 60 61 minutes.
1:00:48So this is uh a very good point from my
1:00:51side now to um to cut it down. So first
1:00:54of all, I want to thank the audience for
1:00:57spending the time with us with the Laura
1:00:58Alliance webinar to share your ideas
1:01:01within the Q&A session. So, it's a
1:01:03pleasure um to have you here all within
1:01:07the webinar and of course a very big
1:01:09thank you to the works of our speakers
1:01:11here to all of you to share as well your
1:01:14time and um it is always a pleasure also
1:01:18for me to host such good speakers and
1:01:21also such a fruitful uh um discussion
1:01:24later on. So, thanks a lot. We uh hope
1:01:27to see you again either in the alliance
1:01:29at some shows or whe in the connected
1:01:32IoT virtual. Thanks a lot again from my
1:01:34side and I wish you a pleasant afternoon
1:01:37or good day wherever you stay at the
1:01:39world. So thanks a lot and goodbye.
1:01:43>> Thank you. Bye
1:01:45>> bye.

About this transcript

This page contains the full transcript of From Wired to Wireless: Scaling Smart Building Integration and Energy Intelligence with IoT by LoRa Alliance, generated from the public captions YouTube serves with the video. The transcript has 8,913 words across 1,335 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.

What you can do with it

Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to translate the transcript into 100+ languages.

Free YouTube transcript tool

YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, translation to 100+ languages, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.