← All episodes
S1E05

Bridging Research & Industry: Smart Grids, ML,&P2P Markets with Bharath Varsh Rao - TEB Podcast S1E5

Status · pending

No auto-captions available for this episode

YouTube didn't return a transcript for this video, so we couldn't generate the AI breakdown. You can still watch it above — and if captions become available later, we'll re-run the pipeline.

Transcript1577 cuesClick a timestamp to jump
  1. From
  2. purely power system perspective, they
  3. stabilize the grid way more than
  4. renewable energy because renewable
  5. energy is more independent in nature
  6. >> and it's not it's not easily
  7. controllable.
  8. >>.
  9. >> So if you have a lot of fossil based
  10. generation,
  11. >> you don't need a lot of flexibility.
  12. >> Okay.
  13. >> Yeah. You have it.
  14. >> That's the reality. Yeah. I'm giving I'm
  15. giving you guys straight. Yeah. That's
  16. that's how it is.
  17. Okay. Yeah, there we are.
  18. Wow, perfect.
  19. So,
  20. welcome to a new episode of Energy
  21. Bridge. We are here with Vat inside the
  22. AIT Austrian Institution of Technology.
  23. Yeah.
  24. >>
  25. >> in the smartest lab.
  26. >> In the smartest lab. So, I don't know
  27. you, but I feel like a kid in a I don't
  28. know in a playroom like making so much
  29. test. We are going to try to shoot
  30. something here and there., so yeah,
  31. welcome Barat. Thank you for
  32. >> giving us this time and we're very
  33. excited to know about your work.
  34. >> Yeah, thanks for having me guys. Yeah,
  35. you're welcome to AIT.
  36. >> Amazing.
  37. >> And the smartest lab. Hey but before
  38. we get into your career career journey,
  39. could you explain this place a bit?
  40. >> Sure. Yeah. So AIT has quite a lot of
  41. laboratories. and this is one of the
  42. the biggest ones. So this is called
  43. the smartest lab. so smartest lab
  44. was mainly designed as an
  45. accreditation laboratory for providing
  46. test reports for at the beginning for
  47. inverters but now we've branched out to
  48. not only inverters but electric
  49. storage systems for electric vehicle
  50. charging stations and so on and so
  51. forth. We also had a micro grid set up
  52. here a few months ago to test the
  53. the viability of a micro grid. So this
  54. is a commercial laboratory which means
  55. that our clients come to this lab
  56. >>. and then they bring their devices
  57. and this is an entry point for them
  58. to sell their products in Austria. So
  59. they need to get certified
  60. >> and AIT is one of the very few
  61. certifying or AIT provides test
  62. reports and then they can later go and
  63. get it certified to be able to sell
  64. their products in Austria.
  65. >> And you told us about that place that
  66. this is the clim
  67. >> the KMA chamber. Yeah,
  68. >> KMA chamber. Yeah. So the test
  69. specifications requires the device to
  70. operate in certain environmental
  71. conditions and then we can test that in
  72. the in the clean chamber. So we can have
  73. a varying degrees of temperature,
  74. humidity, so on so for other tests
  75. other parameters and we can connect the
  76. the device on load. So that's important.
  77. So the device are actually functioning.
  78. So it's on load and we can vary this
  79. temperature profiles to get
  80. different parameter characteristics and
  81. we can see that and make sure that the
  82. the devices adhere to the to the
  83. standard.
  84. >> Amazing.
  85. >> Amazing.
  86. >> So that's the main focus.
  87. >> Get into your journey. So tell
  88. us about yourself a bit where you from
  89. what did you study and how did you
  90. end up in a in a KMA chamber?
  91. Yeah. I am u a researcher right now.
  92. So I'm a scientist as well as business
  93. developer at a department or group
  94. or we call a competence unit. it's
  95. called power and renewable gas systems.
  96. And I moved to IIT approximately 10
  97. years ago. I came here to do my master
  98. thesis.
  99. >> Yeah.
  100. >> And before that I was doing my I was
  101. studying my masters at Goblin in
  102. France in Grenobyl in the middle of
  103. Alps. And before that I'm come from
  104. India from from Bangalore. So I studied
  105. my bachelor's in electrical engineering
  106. from Vua Technological University in
  107. Bangalore and yeah it's been a hell
  108. of a journey. Yeah. And right now 10
  109. years in Austria before that in
  110. France and then I'm originally from from
  111. India.
  112. >> Okay. And how old are you?
  113. >> Yeah I'm 33 years old.
  114. >> Yeah.
  115. >> Yeah. And I got my PhD four years
  116. ago.
  117. >>. And yeah, it's it's it's very
  118. interesting to work at AIT and
  119. looking at all this amazing
  120. infrastructure.
  121. >> and yeah, meeting a lot of
  122. interesting researchers across Europe
  123. and yeah, I coordinate European level
  124. projects. I get to travel a lot, meet
  125. incredible researchers across the
  126. European continent.
  127. >>. and a bit more about your subject
  128. of study at the PhD and so you
  129. started at a doing your PhD you did
  130. your master thesis in at AI then you
  131. continued doing your PhD
  132. >> absolutely yeah so my master thesis was
  133. on datadriven methods for customer
  134. profiling basically
  135. >> so we have quite a lot of data
  136. this is 10 years ago approximately so
  137. we had a large scale installation of
  138. smart meters back then in France There
  139. was a very big push for linky smart
  140. meters as you may you may know and in
  141. Austria as well the smart meters were
  142. coming up that were being installed
  143. in Austria and the regulator EC
  144. control of Austria wanted to know if
  145. it's possible to get the
  146. forecasting accuracy lower for
  147. for mainly retailers
  148. >> to better manage their portfolio
  149. >> and then they can go to the market with
  150. a better forecast and better portfolio
  151. and that's the reason I was
  152. aggregating creating different profiles
  153. of different types to help retailers
  154. do better load forecasting. So that was
  155. the focus of my of my master thesis and
  156. then for my PhD I moved into move
  157. back to my roots which is power system
  158. >> to do very detailed power system
  159. control implementation. So mainly
  160. control for low water distribution
  161. grids. So doing a lot of lowflow
  162. simulations, optimal power flow, I
  163. I developed a method to manage
  164. flexibilities in distribution grids and
  165. then this evolved into local energy
  166. community control because as you may
  167. know in 2018 or was it 2019 European
  168. Commission adopted the clean energy
  169. transition as a clean energy partnership
  170. and the clean energy package of
  171. the European Commission first created
  172. local energy communities. the concept of
  173. local energy community and that really
  174. blew up in Austria and Austria was one
  175. of the very first countries to adopt
  176. this transformation.
  177. >> We have seen a lot of developing in this
  178. area. So you have been here 10 years
  179. so far and we are in a very exciting and
  180. fast growing industry.
  181. What what changes have you seen in this
  182. 10 years researching?
  183. >> Right.
  184. >> Yeah. the biggest change
  185. would be digitalization.
  186. >> Okay. So in the last 10 years
  187. digitalization has gone into every
  188. single domain because traditionally
  189. power system is a very conservative
  190. domain
  191. >> and there's nothing really happened
  192. for the last I don't know 100 years and
  193. then in the last 10 20 years everything
  194. changed
  195. >> because you have the invention of the
  196. smart grids.
  197. >>. So smart grids started
  198. coming into forefront because we are
  199. installing or we have a desire to
  200. install a lot of renewable energy in
  201. in the solution grids again because of
  202. the climate goals that we have and
  203. this poses a lot of challenges.
  204. >> Could you tell a bit more about what
  205. exactly we mean by smart grid?
  206. >> Absolutely. Yeah. So the desire for us
  207. yeah for Europeans as well as across
  208. the world is to minimize our carbon
  209. footprint.
  210. >>. So we want to electrify most of
  211. the traditionally carbon based
  212. loads for example you don't want to
  213. transition from heating
  214. >> using renewable
  215. using gas for example or or wood or coal
  216. you want to transition to electricity
  217. because electricity we can make it more
  218. green
  219. >> and we can make electricity move also
  220. move away from carbon based generation
  221. like coal power plants
  222. diesel power plants for example. So our
  223. goal is to make it more green. So we
  224. have more renewable energy that is
  225. solar. We want to have more wind for
  226. example. And this poses a lot of
  227. challenges
  228. >> and that's the reason we want some
  229. intelligent way to manage these these
  230. challenges that that comes up with this
  231. renewable energy because you can't
  232. predict solar accurately. You can't
  233. predict wind very accurately because
  234. wind is blowing whenever the wind wants
  235. to blow and that's the reason there
  236. is smart grid. So it's a intelligent way
  237. of controlling different assets within
  238. the grid. So that there are concepts
  239. like self-healing for example if
  240. there's a fault then there are
  241. algorithms which automatically heal the
  242. grid to restore the
  243. electricity to the customers and
  244. minimize the blackout time for
  245. example. All of these things are
  246. smart grids.
  247. >> Amazing. So it's a smart grid is a
  248. concept of coordination between
  249. assets in a sector load generation and
  250. how to manage the balance. How
  251. important is the storage in this
  252. concept?
  253. >> Absolutely. so we're producing a
  254. lot of energy and this is
  255. renewable energy that we're talking
  256. about. so it's important that we
  257. utilize it as much as possible
  258. >> because if we have too much renewable
  259. energy so we saw this a few weeks ago
  260. or was it last week in Spain and in
  261. the Iberian Peninsula. So we have a lot
  262. of renewable energy that's being
  263. produced. So we want to efficiently
  264. utilize it because it's a shame to
  265. curtail it.
  266. >> Exactly.
  267. >> So we don't want to curtail solar power
  268. because there is quite a lot of solar in
  269. Europe right now. So during midday when
  270. the sun is at the highest in summer
  271. there's so much solar production that we
  272. won't be able to consume it. Yeah.
  273. >> And then right now we're curtailing it
  274. and that's a shame. Yeah. Because
  275. you have such a large infrastructure of
  276. solar energy and we don't want to
  277. waste it. And that's the reason
  278. batteries are important but batteries
  279. are beyond that. So it's not just
  280. storage. Batteries can also support the
  281. the grid. Batteries can help customers
  282. manage their renewable energy
  283. production, their load, the loads and
  284. their consumption in general. And it can
  285. also support the distribution grid or
  286. transmission grid to provide some
  287. kind of services to the grid. So
  288. there are more than that. Yeah.
  289. >> Yeah. Just one more thing it's let us
  290. know if it's related or not because
  291. we saw last days we are 13 of May
  292. reporting this and the day ahead market
  293. >> showed prices near to minus500
  294. per megawatt hour. Is it related with
  295. the production of renewables?
  296. >> 100%. Yeah. Yeah. Because the
  297. there's a concept called merit order
  298. at the at the any any market that
  299. you're looking at. So any for example
  300. Apex the head market. So the
  301. the concept of merit order is
  302. persistent in all the markets. Of course
  303. there's a lot of discussion about this
  304. needs to be changed and so on and so
  305. forth.
  306. >> We're going to make an episode just
  307. exactly. Sure.
  308. >> Yeah. So the concept is very simple. You
  309. want to give priority to the generators
  310. which is the cheapest
  311. >> because you want to keep the generators
  312. that are cheapest to be able to
  313. produce more electricity so that it's
  314. cheaper for everybody. So which is the
  315. cheapest energy in Europe right now?
  316. >> Solar.
  317. >> It's solar. Yeah. Solar and wind.
  318. >> That's the cheapest
  319. >> and the concept of
  320. load and generation. So there's an
  321. intersection at a point. So it's
  322. there's also this this concept in
  323. merit order where there's an
  324. intersection everything beyond that
  325. point so it's called the market clearing
  326. point everything beyond that point is
  327. not considered in the in the market
  328. action
  329. >> everything below it is considered so if
  330. you have a lot of solar production
  331. and wind production across Europe so
  332. all of these are very cheap and then
  333. that's the reason for example the
  334. thermal power plant which is very
  335. expensive to run and which cannot be
  336. turned off very easily It's at the end
  337. of the
  338. >> it's at the end of the merit order and
  339. they need to make it cheaper
  340. >> to be able to participate in
  341. the market. So if they go beyond the
  342. market clearing price, they're out of
  343. the market and they will they'll have to
  344. shut down.
  345. >> So for them it's
  346. >> more expensive to shut down and come
  347. back again next week or next day
  348. >> than the heating system.
  349. >> Exactly. Yeah. It's more expensive and
  350. that's the reason they offer a ne
  351. negative price. So they're willing to
  352. pay you to be connected. Okay. So this
  353. is a parenthesis because we want to go
  354. into your research but thank you for
  355. that
  356. >> also about just adding to that and it
  357. it addresses grid and the stability of
  358. the grid how more and more renewable
  359. has to be integrated within the grid and
  360. you're working with digitalization with
  361. the ML model for the grid and with the
  362. smart grid how important it gets more
  363. and more because we are in Vienna
  364. the grids are slightly modernized
  365. compared to Eastern Europe and they have
  366. very
  367. >> let's say quote unquote somebody said
  368. shitty grid
  369. >> why it's it's so important for them to
  370. to integrate smart grids then
  371. >> right absolutely now the
  372. the because there's so much diverse
  373. set of loads and generations that are
  374. connected to the distribution grid
  375. >> it is impossible for DSOs to
  376. manage this because there there's the
  377. one main issue is observability. So
  378. distribution grids are not observed. So
  379. the smart meters that are connected
  380. >> especially in Austria due to GDPR
  381. laws and data protection laws, it cannot
  382. be used by a DSO to do some kind of
  383. real-time control. It's not allowed. So
  384. the distribution system operators are
  385. not allowed to use this data for
  386. network planning as well as real-time
  387. operation.
  388. >>.
  389. >> Yeah. What what are the hurdles for
  390. them?
  391. >> Like why? It's data protection because
  392. you can know quite a lot about
  393. your personal behavior like for example
  394. if I have your profile your your you
  395. know apartment for example your
  396. consumption profile I can I can say a
  397. lot about what you do in the in the
  398. house I can I can say when you watch a
  399. TV I can say when you're taking a
  400. shower all of this is possible yeah
  401. >> is it like considered a personal data
  402. >> it's personal data yeah so your
  403. consumption data is personal data
  404. >> because it gives a lot of information
  405. about your behavior and it's
  406. rightfully protected It needs to be
  407. protected. It's rightfully protected.
  408. Yeah. And that's the reason DS at
  409. least in the current regulation envir
  410. regulatory environment, they're not
  411. allowed to use this data in real time.
  412. And that's the reason we have
  413. developed some AI methodologies to be
  414. able to predict at a rather high
  415. accuracy
  416. >> with a subset of these measurement
  417. devices. So we don't have full
  418. observability. We can have few
  419. measurement devices strategically placed
  420. in a in a distribution grid to be
  421. able to predict everything else like the
  422. distribution grid.
  423. >> Aggregated data with many consumers.
  424. >> Exactly.
  425. >> Not one one by one.
  426. >> No, but we can we can also do one by
  427. one. So we just need to have a certain
  428. number of smart meters connected
  429. from from the DSO or from the
  430. customers who are willing to provide
  431. this data to the DSO. so with the
  432. help of this we can predict everybody
  433. else in the in the vision grid. So this
  434. is one example where digitalization
  435. as well as AI applications
  436. helps in and good management because
  437. observability is the biggest hurdle
  438. >> and we're trying to solve this
  439. observability issue.
  440. >> Okay. And you worked on a project
  441. called grid cloud.
  442. >> Yeah.
  443. >> what were what exactly was the
  444. project and how did it apply to the
  445. topic that we have just touched on?
  446. >> Absolutely. so grid cloud is
  447. European initiative. So it's funded
  448. under Aronet funding instrument part
  449. of the EU. It's a transnational
  450. funding scheme and the main focus of
  451. the of the grid cloud project is
  452. digital twins to enable digital twins to
  453. support grid operation. So that's the
  454. main focus of the of the grid cloud
  455. project.
  456. >> so we have different countries
  457. part of the grid project. We have
  458. actually three countries. So it's
  459. Austria, Germany as well as Turkey.
  460. >> Yeah.
  461. >> so we have different use cases that
  462. we are addressing in these three
  463. countries. So I think the most
  464. interesting one right now especially
  465. with the with the climate change is the
  466. Turkish use case
  467. >> where
  468. >> because there there is this this area
  469. called Karabun. So it's a peninsula in
  470. in Turkey in Ismir region of Turkey on
  471. the Mediterranean like right across
  472. Greece
  473. >> and they're they're experiencing
  474. quite a large number of storms and
  475. weather events
  476. >> and that's the reason you have this this
  477. transmission poles right which is
  478. carrying cable because they're overhead
  479. lines in Turkey and they're being
  480. affected. So a lot of them are just
  481. falling off
  482. >> because of the heat
  483. >> because of the storms
  484. >> extremely high wind conditions rain
  485. hail because of that the cables are
  486. being affected and then the poles
  487. just
  488. >> drop because it's so windy because it's
  489. it's the Mediterranean and it's it's
  490. extremely stormy weather and we want to
  491. be able to predict this that it's
  492. it's going to happen somewhere I don't
  493. know in the next 24 hours
  494. >> with weather data with electrical
  495. information that we have also historical
  496. data so that the crew who's
  497. responsible for fixing this issue can
  498. already preemptively start driving or
  499. they're ready that this is going to
  500. happen and they can go and they can
  501. minimize the blackout time so that
  502. our customers are not affected for
  503. for longer than than they should be. You
  504. know, that's the that's the focus
  505. >> and what we were talking just before we
  506. we started shooting about how exactly
  507. these these fundings and how how these
  508. projects work within AIT. if you could
  509. just tell us a bit more about the
  510. structure of project that are under AIT
  511. how are they funded and who are the
  512. stakeholders
  513. >> right yeah so AIT gets one/ird of its
  514. funding from funded projects so
  515. which is for example national
  516. level funding FFG so the Austrian
  517. research promotion agency
  518. >> is one of the funding agencies
  519. that funds projects again this is
  520. like a public call that we as AIT a
  521. research institution we partner up with
  522. with our large network of partners.
  523. So we create a consortia
  524. >> and we come up with a very nice
  525. proposal. We submit to this and then we
  526. win this proposal.
  527. >> Who who are the partners that AIT work
  528. with industry and
  529. >> yeah we have partners from industry from
  530. from public organizations from
  531. from all all sorts of life. So because
  532. we are doing such a complex project
  533. right now so it's not really focused on
  534. one industry anymore..
  535. >> So it's more sector coupling
  536. >> and we are focusing on social
  537. scientists for example, universities and
  538. institutions that focus on social
  539. science. They're also part of the
  540. project. So it's it's quite broad at the
  541. moment. So it's a sector coupled
  542. solutions. So this this is one
  543. funding agency that we apply for
  544. funding to of course the European Union.
  545. So we have the Horizon Europe funding
  546. instruments life of course the
  547. CTP clean energy transition partnership
  548. and so on and so forth. quite a lot
  549. of funding agencies that that that
  550. provide research funding and we also
  551. create a consortia and submit a proposal
  552. to this consort to this call
  553. and we win proposals. So this is
  554. one/ird of the funding bulk. Yeah. And
  555. then the other one/ird is
  556. coming from private contracted
  557. research.
  558. >>. So we contract research or we
  559. contract with the industries and
  560. different companies technology companies
  561. to help develop a prototype for them.
  562. >>.
  563. >> so they may not have the expertise
  564. and knowledge to domain
  565. knowledge to develop this prototype.
  566. >> So we develop it for them and then we
  567. hand it hand it off to them and they
  568. bring it to the market.
  569. >> Okay.
  570. >> So this is the second
  571. funding instrument or or the way we
  572. derive funding. So it's the direct
  573. conduct of research and then the
  574. remaining one/ird is funding from
  575. the government of Austria.
  576. >> Okay.
  577. >> So this is fixed funding that we receive
  578. every year from from the ministry of
  579. innovation of Austria.
  580. >> Yeah.
  581. >> And this enables us to do a lot of
  582. supporting work for the first two. So
  583. all the background research that needs
  584. to be done that cannot be funded
  585. >> from the European Commission or from
  586. the Austrian funding agency is
  587. done with this
  588. >> with this. Yeah. Yeah, this is something
  589. that we discussed before recording. It's
  590. you are bridging the industry with
  591. >> research and academia. So it's it's
  592. amazing.
  593. >> absolutely. So AIT is we
  594. work as a bridge between academia as
  595. well as industry. So it's really
  596. bringing all the low tier low technology
  597. readiness level research so that
  598. universities develop. It's it's very
  599. innovative ideas that they're
  600. developing. So we bridge it. So we build
  601. a prototype or we build a concept that
  602. that goes beyond the low tier
  603. research so that the industry can adopt
  604. it and bring it to the market.
  605. >> Amazing. And maybe something that
  606. you have done in this research if we can
  607. go to the CE region h how do you see the
  608. have you done some research in CE?
  609. >> Yeah so we have multiple
  610. projects. Yeah, absolutely. that we
  611. have worked with the partners from from
  612. the CE region for sure. Austria,
  613. Central European and also Eastern
  614. European regions. Yeah, absolutely. So
  615. we have partners from Romania, Czech
  616. Republic, Bulgaria. Absolutely.
  617. >> And what kind of projects and what
  618. have you seen there in the in these
  619. countries?
  620. >> Yeah. so the European grid is one
  621. grid. So it's a single grid across
  622. across Europe. And the challenges that
  623. we are facing, everybody's facing across
  624. Europe. Yeah. From from Northern Europe,
  625. from from Finland to Portugal. Yeah.
  626. So this is one European grid. Of course,
  627. there are specific national level
  628. challenges that that different
  629. countries across Europe have, especially
  630. in Eastern Europe. We could look at the
  631. energy mix for example. It's more carbon
  632. based
  633. >> compared to Austria. Austria is
  634. strategically located in the Alps. So we
  635. have a lot of hydro power
  636. >> and a lot of wind right now. So that's
  637. that's that's an advantage. but I
  638. think there are countries in Eastern
  639. Europe still transitioning to renewable
  640. energy at the moment and the progress
  641. is incredible. I think
  642. >> they're very fast.
  643. >> Yeah, a lot of countries are really
  644. pushed towards yeah large scale
  645. implementation of renewable energy
  646. projects.
  647. >>. And of course they will now
  648. start facing all the challenges of this
  649. new integration of renewable energy that
  650. we have already faced in central
  651. Europe and Eastern Europe
  652. >> like 5 10 years ago.
  653. >> So all the solutions that can be that
  654. developed and tested actually quite well
  655. tested can be easily implemented in the
  656. Eastern European regions. Can I add
  657. just one thing short answer because Raul
  658. is
  659. no
  660. >> we also see this knowledge gap between
  661. Eastern Europe and Western. How do you
  662. see that it could be better this
  663. knowledge transfer with those
  664. professionals?
  665. >> I would say to create more projects
  666. to create more consorts together with
  667. the with the research entities,
  668. universities, industry partners from
  669. from Eastern Europe to share
  670. knowledge because I think working in a
  671. project together that's funded by the
  672. European Commission or anybody else that
  673. doesn't really matter is extremely
  674. advantageous because we learn from each
  675. other because we attend meetings
  676. together. we have brainstorming
  677. meeting to really discuss all the
  678. issues that we have and then find a
  679. unifying solution. So I think that's
  680. really again I'm coming from the
  681. research point of view. Of course from
  682. the commercial point of view there are
  683. different ways to do this but from the
  684. research point of view it's really to
  685. collaborate and then exchange
  686. researchers. So we from AIT go to a
  687. university in an Eastern European
  688. country or vice versa and that's how you
  689. you build this
  690. >> collaboration collaboration. Absolutely.
  691. Hey you worked a lot with energy
  692. communities as well designing energy
  693. communities and I believe in you
  694. were telling us that in 2018 you already
  695. started working on that.
  696. >> Tell us a bit more about what exactly
  697. energy community means and how you
  698. designed them and what's the benefit of
  699. it.
  700. >> Absolutely. so in 2018 end I think I
  701. don't remember exactly the date at the
  702. moment but European commission
  703. adopted officially the clean energy
  704. package
  705. >> which for the first time put it in
  706. law what an energy community is so
  707. there are two kinds of energy
  708. communities a renewable energy
  709. community
  710. >> and a citizen energy community
  711. >> okay
  712. >> so this is fully defined already so a
  713. renewable energy community is a
  714. community that is local
  715. >> okay So it's it depends on the country
  716. of course and how the regulations are
  717. transposed but it's it's local. So it's
  718. it's one street or or one small
  719. village and if you look at the
  720. the power grid so it's usually a one one
  721. feeder or multiple feeders together.
  722. >> Okay.
  723. >> Are in one community.
  724. >>.
  725. >> So this is a legal entity by the way. So
  726. community is a legal entity
  727. >> and anyone can start it.
  728. >> Anyone can start it. Anyone can be part
  729. of it. So there is of course there are
  730. specific requirements but generally yes.
  731. >> And in citizen energy community it's not
  732. in one location. It can be anywhere
  733. in a country.
  734. >> Okay.
  735. >> So if you are living in Foralberg
  736. I'm living in Vienna. So we can create
  737. energy community together.
  738. >>.
  739. >> Call a citizen citizen energy community
  740. and we can share energy. So in forber if
  741. you're producing a lot of photoike power
  742. you can sell it to me in Vienna.
  743. >> So it's independent of the of the
  744. location. So it can be anywhere in
  745. Austria in a particular country and of
  746. course across Europe. this
  747. transposition has happened in different
  748. ways
  749. >> and it's still happening.
  750. >> Yeah.
  751. >> So currently I'm developing a
  752. study for the European Commission DJNR
  753. on exactly looking at the current
  754. LEC ecosystem across Europe.
  755. >> LC what is that? local energy community
  756. ecosystem
  757. >> across Europe to really check what's
  758. the current status
  759. >> of this transposition so of
  760. the of the EU level regulation into
  761. national laws
  762. >> to see how well it's happen so for
  763. example in Austria it's fully done so
  764. it's been fully transposed of course
  765. there are some challenges that we're
  766. still trying to address in some
  767. countries it's not fully done so there's
  768. only certain parts of it is done and in
  769. in some countries it's absolutely
  770. not done
  771. >> and Austria had a lot of energy
  772. community coming up.
  773. >> Why is that? And what are the
  774. enabling regulation for it?
  775. >> So it's mainly there was this
  776. incentive to create local energy
  777. communities because of the prices.
  778. >>.
  779. >> So couple of years ago due to war you
  780. might already know that the energy
  781. prices were rather high during this time
  782. and there was a lot of investment in
  783. photoalt generation across Europe
  784. mainly Austria. So there's a there's a
  785. bit of a panic buying of PV plants and
  786. that's the reason if you have a photo
  787. volic panel and you would want to
  788. also provide this energy to your family
  789. members. So that's really the main
  790. initiative the main incentive. So you
  791. want to provide your for example
  792. parents living in the countryside they
  793. have a lot of space they have you
  794. know rooftops that they install PVs
  795. with and then there's a lot of excess
  796. energy that they don't use. So they'll
  797. do their children and piano. So
  798. that's really the main focus. I
  799. would say a large number of energy
  800. communities are owned by few people
  801. in Austria, a handful of people.
  802. >> Okay.
  803. >> and of course there are bigger
  804. ones right now, but the incentive is
  805. that that they want to share energy comm
  806. energy across the community. But do
  807. you think that energy community will
  808. play a role
  809. in demand respond
  810. >> side in energy transition
  811. >> right yeah that's a it's a difficult
  812. question at the moment to answer because
  813. the regulations are very stringent so
  814. right now there are very few countries
  815. across Europe where local energy
  816. communities can provide flexibility to I
  817. don't know what to the grid or to
  818. to an aggregator and finally the
  819. aggregator goes to a market. This is not
  820. fully defined at the moment.
  821. >> Okay.
  822. >> Yeah. But there is an interest at least
  823. from the European Commission to
  824. see how this could be done.
  825. >>.
  826. >> And that's the reason the study that
  827. I'm I'm doing with the with DJR is
  828. also looking at flexibilities.
  829. >> Okay. And how what could be the
  830. enabling barriers or enabling conditions
  831. and barriers for flexibility inclusion
  832. flexibility extraction from energy
  833. communities.
  834. >> And do you think there could be it
  835. should be done more in the fossil
  836. dependent countries in the eastern
  837. European region such as Poland maybe
  838. >> right
  839. >> should be done more there.
  840. >> Yeah. So from a power system
  841. perspective fossil based generation
  842. especially synchronous generators
  843. are from again from purely power system
  844. perspective they stabilize the grid
  845. way more
  846. >> than renewable energy because renewable
  847. energy is more independent in nature
  848. >> and it's not it's not easily
  849. controllable.
  850. >>.
  851. >> So if you have a lot of fossil based
  852. generation
  853. >> you don't need a lot of flexibility.
  854. >> Okay.
  855. >> Yeah.
  856. >> You have it.
  857. >> That's the reality. Yeah. I'm giving I'm
  858. giving you guys straight. Yeah, that's
  859. that's how it is from the power system
  860. perspective.
  861. >> but that's not what we want. So we
  862. don't we are
  863. >> okay. we're willing to sacrifice
  864. a bit of control to increase the
  865. share of renewable energy.
  866. >>.
  867. >> And renewable energy goes hand in hand
  868. with flexibility.
  869. >> Yeah. And well this is the friend
  870. that you don't want in the room but it's
  871. needed. Do you think that gas will play
  872. a role in the next 10 15 years or
  873. >> glass will gas will of course
  874. play play continue to play a role
  875. because the transition from from
  876. again gas based heating mainly to
  877. electric based heating is happening
  878. right now but it's it takes time to
  879. to replace all the new houses that are
  880. being built in Vienna are have to
  881. be electric heating or they're at
  882. least trying to do that across Austria
  883. as well.
  884. >>. And all the new constructions,
  885. they're of course going to be electric
  886. based. but there's still a lot of
  887. houses that have gas heating.
  888. >> And then it takes a lot of time to
  889. transition this to electric. And it
  890. it's a long process.
  891. >> But not in heating. not only
  892. heating but in electrical generation,
  893. electric generation. Gas will play a
  894. role in this flexibility. this
  895. is anyways not a lot especially in
  896. summer because like you mentioned
  897. >> negative pricing. So there is not
  898. a lot of gas generation anyways in
  899. in summer. In winter sure there are
  900. still gas palants that are active in
  901. Europe but not a lot.
  902. >> Okay.
  903. >> So I don't think gas is going to again
  904. from the electricity point of view not a
  905. lot
  906. >> but heating massive massive
  907. >> massive
  908. >> amazing and because we saw all the
  909. work that you have done so far you
  910. you also designed some P2P market. Yeah.
  911. >> Yeah. This this was part of a project
  912. called blockchain grid project.
  913. >> Yeah.
  914. >> this was I think finished was it four
  915. or five years ago. and this was again
  916. during the whole blockchain hype.
  917. >> we wanted to see if if it's
  918. possible to create a peer-to-peer
  919. energy market within a community in
  920. in Styrark.
  921. >>. So this is actually a real
  922. village where we deploy this
  923. market and there all the customers
  924. who produce electricity can sell
  925. this to their neighbors with the help of
  926. the of the blockchain. So we have smart
  927. contracts. It automatically computes
  928. how much you're producing,
  929. >> how much you're feeding into the grid
  930. and you can virtually sell this power
  931. and you can earn u cryptocurrency
  932. >> and what was the out the outcome of
  933. the study? Is it possible or
  934. >> so the main outcome of the study is
  935. you need to automate it.
  936. >> Okay,
  937. >> automation is the most important thing
  938. because these are microtransactions and
  939. unlike u the European level or or
  940. country level markets, you can't
  941. preemptively
  942. manage this..
  943. >> So it needs to be done automatically.
  944. >> Yeah, that's the main outcome. And of
  945. course, blockchain is losing its edge
  946. at the moment, at least in energy.
  947. There's not a lot of funding and not
  948. a lot of interest in energy in
  949. blockchain. So
  950. >> yeah, it's it's dying down, I would say.
  951. We're at the end of the year of the
  952. whole blockchain, but there's still a
  953. lot of proponents of blockchain who
  954. who really believe in it. but
  955. we'll see how it goes. Yeah, that's
  956. that's what I could say at the moment,
  957. too.
  958. >> For now, we'll leave it to the crypto
  959. guys. Yeah, exactly.
  960. >> Hey, it we were discussing about the
  961. role of academy and industry
  962. collaboration and AIT is doing it
  963. wonderfully and we saw that you are a
  964. research scientist also a business
  965. developer. You're contracting with
  966. bigger industry companies.
  967. >> How tell us a bit more about how you
  968. collaborate with different stakeholders
  969. and what you have to do in to get all
  970. the research going here.
  971. >> Right. Yeah. for the first part
  972. for contractor research.
  973. so it really depends on the
  974. client's requirements.
  975. >>.
  976. >> Yeah. So we have a large
  977. collection of solutions that that we
  978. have developed within AIT. so it
  979. really depends on the on the
  980. requirements of the of the client. So we
  981. have control engineering expertise.
  982. So we have a lot of algorithms, a lot
  983. of prototypes that are controllers
  984. for distribution groups. Again, I'm
  985. of course AIT is quite wide, but I'm I'm
  986. really narrowing it down to
  987. digitalization and power system
  988. applications here.
  989. >> Sure.
  990. >> so we have things related to AI
  991. applications. We have a lot of advanced
  992. forecasting methods, statistation
  993. methods, predictive maintenance
  994. methods that that we can provide
  995. to solution operators
  996. the companies which develop
  997. scatter systems for example the
  998. companies which provide solutions for
  999. local energy communities for example. So
  1000. all of these are our clients. So we
  1001. develop this based on their needs and
  1002. then we provide this prototype to them
  1003. and they need to put a lot of effort of
  1004. course to bring this to the market
  1005. and make it more viable in the market
  1006. based on their own requirements.
  1007. >> Okay.
  1008. >> So this is the first stream. Yeah. This
  1009. is really a client relationship AIT
  1010. client relationship and then we develop
  1011. this exclusively for them.
  1012. >> Of course the funded research is more
  1013. broad. We have a lot of consorcia
  1014. members and we have consorcia members
  1015. who are from industry, from academia,
  1016. from research
  1017. >> with different set of exploitation
  1018. criterias that that they need. So
  1019. universities mainly focus on
  1020. publications. They don't really care
  1021. about software solutions for example.
  1022. Industrial partners, they care about
  1023. software solutions but we need to
  1024. test them in the relevant environment to
  1025. make sure that they actually work
  1026. >> and then they can take it away.
  1027. So there's another exploitation plan. So
  1028. it's it's very customizable. It's very
  1029. diverse. So that's the key here.
  1030. >> Yeah. And of course AIT is also doing
  1031. spin-offs.
  1032. >> Those are who are helping spin-offs and
  1033. we have different models how to
  1034. transfer the IP the intellectual
  1035. property that AIT owns to the startups.
  1036. >> That's great. And we were discussing
  1037. Daniel about also how successful
  1038. spin-off gets to the market and also
  1039. about time for them to get into the
  1040. market. Tell us about some successful
  1041. case studies that
  1042. >> Yeah, absolutely. infrared is one of
  1043. the highly successful
  1044. spin-offs from from AIT. So this
  1045. startup is coming out of the group of
  1046. digital resilient cities. DRC is
  1047. also part of Center for Energy and
  1048. they're developing AI tools,
  1049. visualization tools, showcases for city
  1050. planners.
  1051. So if you want to plan a city
  1052. >>.
  1053. >> if you want to make it more green, you
  1054. can in no time actually with
  1055. virtual reality, you need to wear some
  1056. virtual reality glasses and you're able
  1057. to build the city with different
  1058. stakeholders. So you can contact
  1059. different community owners, you can
  1060. contact people who are interested in
  1061. in making the city more green. You can
  1062. bring just general public into this
  1063. design process
  1064. >> and really see how what they need
  1065. actually
  1066. >> and based on this you can design this
  1067. this city or a portion of the city or do
  1068. renovations for the city
  1069. >> and then yeah so you can develop
  1070. detailed plans out of it so that the
  1071. builders know exactly what to what to
  1072. build.
  1073. >> Okay. Amazing. And what are your next
  1074. research? How do you see the next 5
  1075. years?
  1076. >> definitely AI applications for
  1077. sure. Yeah. so the current research
  1078. interest for me is to minimize the
  1079. the amount of time it takes to
  1080. connect a new power plant.
  1081. >>.
  1082. >> To the transmission or distribution
  1083. grid.
  1084. >> Okay.
  1085. >> Yeah. So if you are for example Rahul
  1086. you are interested to build a wind
  1087. power plant
  1088. >>.
  1089. >> in Lower Austria. So you are able to
  1090. convince some u venture capitalist
  1091. to give you some funding to
  1092. build this wind power plant.
  1093. >>.
  1094. >> But the problem is you should be able to
  1095. connect this wind power plant to the
  1096. closest medium voltage or high voltage
  1097. feeder.
  1098. >> This connection takes 9 years.
  1099. >> Wow.
  1100. >> There's a queue. Yeah.
  1101. >> Or Okay.
  1102. >> So there's a queue. So you need to get
  1103. on this queue even before you start
  1104. building anything.
  1105. >> Okay.
  1106. >> So it takes about 9 years to actually
  1107. >> to be able to connect this plant. So in
  1108. the meanwhile if you're already finished
  1109. with the plant so all the wind wind
  1110. turbines are already up and it's
  1111. spinning already but you can't
  1112. connecting energy
  1113. >> you can't connect it.
  1114. >> So what do you think that it can be
  1115. solved? It's a regulatory challenge or
  1116. >> it's a it's both. So of course there's
  1117. very stringent regulation on exactly how
  1118. to connect this but there's also a
  1119. lot of power system simulations that
  1120. we need to do
  1121. >> to be able to provide this test
  1122. report
  1123. >> okay
  1124. >> and make sure that the win turbines
  1125. or whatever generation that is connected
  1126. is actually capable of following
  1127. some parameters that they need to follow
  1128. and we're trying to address this with AI
  1129. to make it more fast so that we want to
  1130. reduce this this 9 years waiting time by
  1131. a factor of I don't know how many
  1132. still still the research but
  1133. >> whatever it takes. there's
  1134. approximately 15 trillion 15 terowatt of
  1135. of renewable energy that is sitting
  1136. in the queue right now.
  1137. >>.
  1138. >> Wow.
  1139. >> 15 terowatt.
  1140. >> We're going to stay aware what is
  1141. happening with this study will be
  1142. interesting
  1143. >> and but just about so also with
  1144. research what happens that if it's
  1145. taking too long it becomes redundant in
  1146. the market. Absolutely.
  1147. >> How do you make sure that the
  1148. research is up to date with the market
  1149. and what's needed in the market?
  1150. >> Absolutely. some of the research that
  1151. we do is it's quite ambitious. So
  1152. they're already 10 years beyond
  1153. state-of-the-art.
  1154. >> So then we have enough time to catch up
  1155. >> at least the solutions we can catch
  1156. up and bring it to the market. But there
  1157. are some solutions which are
  1158. >> maybe one year beyond the market or two
  1159. years beyond the market. And then these
  1160. research projects are very very long. So
  1161. European projects are four years and
  1162. yeah completely get that the
  1163. products or the research that we do at
  1164. the beginning of the four year but at
  1165. the end of the project it's already
  1166. obsolete and that's the reason I think
  1167. we should really focus on creating
  1168. more agile project management style. So
  1169. I think agility is super important in
  1170. research and then this is not currently
  1171. being done. So this is one something
  1172. that I'm pushing as well
  1173. >> within our group to make it more
  1174. agile. So we want to have a minimum
  1175. viable product.
  1176. >> Yeah.
  1177. >> Maybe the first year and already try to
  1178. look at exploitation with the indust
  1179. partners part of the project.
  1180. >> So that's one way.
  1181. >> Do they function at a startup or already
  1182. or that they need to get into the market
  1183. they need to be adapt to the market or
  1184. they are more orthodox in the
  1185. research way first they get the
  1186. research on board and then but how how
  1187. do they function now?
  1188. >> Yeah there are different methods here.
  1189. So we can either so the IP that
  1190. is generated within the project can be
  1191. adopted by the industrial partner
  1192. already part of the project.
  1193. >>.
  1194. >> Or we can go for a startup. So both is
  1195. possible. So we can either just license
  1196. the solution that is developed within
  1197. the project
  1198. >> to a partner an industry partner and
  1199. they use this license to
  1200. >> develop it further and bring it to the
  1201. market or we go for the startup
  1202. route.
  1203. >> Yeah. And it's also possible to put the
  1204. startup plan already part of the
  1205. proposal
  1206. >> for the research project. So Europe
  1207. funds this. So EU funds
  1208. >> all the prerequisites to fulfill all
  1209. the prerequisites for the for the
  1210. startup as part of the project.
  1211. >> Okay. And
  1212. >> this is not being done at the moment. So
  1213. there's such a huge gap right now and
  1214. nobody is really utilizing this this
  1215. opportunity. I think that's where AIT is
  1216. really the bridge and then they
  1217. they go out of the system of AIT or they
  1218. are still within the
  1219. >> they will go out of the system of AIT
  1220. because AIT will help with all the
  1221. knowledge transfer IP of course and all
  1222. the initial steps that are needed
  1223. to establish this this entity this
  1224. this independent entity or a startup
  1225. >> and then this will be out of the AI
  1226. ecosystem.
  1227. Okay.
  1228. >> Right. So the invitation is for the
  1229. industry to come here and collaborate.
  1230. Right.
  1231. >> Absolutely.
  1232. >> And then they can raise money when once
  1233. they are out of the system they can get
  1234. in the VC money because before that it's
  1235. a funded money from the
  1236. >> Exactly. Y so once the independent
  1237. entity is created so they can it's it's
  1238. out of ecosystem.
  1239. >> So they can yeah raise money and then
  1240. they can develop the product they can do
  1241. whatever they want after that. And do
  1242. industries sorry just one more question
  1243. about it. Do industries already because
  1244. of your partnership they take it to
  1245. scale.
  1246. >> Yes. So this is also possible. we
  1247. recently had a conversation about
  1248. corporate venturing
  1249. >> or comp corporate clienting as well. So
  1250. if there is a particular industry
  1251. which is very niche and they're looking
  1252. for a very niche product then we develop
  1253. it together within a research project
  1254. like we always do. funded partially
  1255. by public funding from from
  1256. research calls basically and then the
  1257. startup is created.
  1258. >>.
  1259. >> And typically big companies they do not
  1260. want to assume the risk of the of
  1261. this very innovative new solution.
  1262. >> Y
  1263. >> and that's the reason they do
  1264. corporate clienting.
  1265. >>.
  1266. >> So you have a startup that is a direct
  1267. client or the single client of
  1268. the startup is this big industrial
  1269. partner.
  1270. >> Okay.
  1271. They fund that and then they're able to
  1272. scale it up rather quickly.
  1273. >> Okay. Amazing. well maybe to be
  1274. closing from here AIT labs you can
  1275. see the hear the noise of the like
  1276. feeling here in the lab. So maybe
  1277. what would you recommend to future
  1278. professionals in energy field
  1279. researchers
  1280. to get into this energy transition
  1281. flow?
  1282. >> Yeah. Yeah. Yeah, absolutely. I
  1283. think the most important item
  1284. that you need to do is yeah just just
  1285. get up and then go around talk to
  1286. people and then you can do a lot without
  1287. formal education in power system.
  1288. So formal education electrical
  1289. engineering or energy system. So you can
  1290. do quite a lot because the energy
  1291. transition is not a problem of
  1292. engineers.
  1293. It's the problem of citizens.
  1294. >> Wow.
  1295. >> So, it's anybody who is a citizen of
  1296. Europe or across the world
  1297. >> is involved in energy transition. So,
  1298. it's everybody that that needs to stand
  1299. up and then and push for renewable
  1300. energy, push for push for more
  1301. green solutions across all the sectors,
  1302. not just energy, all the transportation
  1303. sector, which also needs to be
  1304. transitioned to renewable energy.
  1305. Basically, all the sectors. Yeah. So I
  1306. think that's the most important thing.
  1307. >> That's a great statement.
  1308. >> Yeah, for sure. And also since you are
  1309. doing it successfully, what what would
  1310. you tell others why is so needed to
  1311. bridge academia industry and research
  1312. together? Why why how can also
  1313. it be successfully replicated by others?
  1314. >> Yeah, absolutely. it's super
  1315. important to bridge the all the let's
  1316. put it this way all the stakeholders in
  1317. the technology readiness level.
  1318. >>.
  1319. >> So where universities are at the lower
  1320. end of the of the spectrum and
  1321. industries are at the higher end of the
  1322. spectrum..
  1323. >> It's very important to bridge all
  1324. this this entire entire spectrum because
  1325. all innovation like all the amazing
  1326. ideas concepts are developed at the
  1327. university and the only way to bring
  1328. this to the market
  1329. >>.
  1330. >> is that we have a bridge between all the
  1331. different stakeholders along the
  1332. technology relevance level because
  1333. industry wants something that the
  1334. universities have
  1335. >> or that they're coming up with.
  1336. >> But it's an extremely high feat. to
  1337. bring whatever innovation that that this
  1338. brilliant minds they come up
  1339. with to the market.
  1340. >> Theory to reality
  1341. >> theory to reality. So this is extremely
  1342. challenging.
  1343. >>.
  1344. >> And that's the reason we need to work
  1345. together to involve multiple partners
  1346. along the spectrum to push the solution
  1347. from theory to reality.
  1348. >> That's what we are trying to do to
  1349. bridge the all stakeholders. So yeah,
  1350. thank you very much for receiving us
  1351. here in your lab and I think we're going
  1352. to come again.
  1353. >> Absolutely. Hey, you're welcome.
  1354. >> Because we went to the other lab with DC
  1355. solutions and trying and pushing till
  1356. the limit the
  1357. >> Yeah, why not? We just
  1358. >> go there now and ask her a couple more
  1359. questions on the way. Yeah, let's do it.
  1360. >> Let's see. Okay. Oh,
  1361. okay. So, we came here to the other lab
  1362. and now
  1363. all this equipment is to test DC.
  1364. >> Absolutely. Yeah. Right. So,
  1365. >> can you tell us a bit more about this
  1366. lab and what happens?
  1367. >> yeah, sure. so, this is our the
  1368. brand new direct current laboratory. So,
  1369. this is the DC cube. So, that's what
  1370. we call it..
  1371. >> So it's a it's a bank of rectifiers
  1372. basically. So diode diode bank
  1373. >> with rectification element to it and we
  1374. can test the protection devices.
  1375. So that's the focus of the light. So
  1376. DC protection devices
  1377. >>
  1378. >> in the laboratory with very high
  1379. current values.
  1380. >> So that is what we want to do. So we
  1381. want to pass very high through the
  1382. production device and make sure that it
  1383. the standard
  1384. >> that the devices are supposed to be.
  1385. >> Actually we last week we went to inter
  1386. solar and we realized that there are
  1387. starting to be more DC solutions to
  1388. avoid the inverter and just going from
  1389. the PV DC bar and then superchargers or
  1390. DC loads
  1391. >> like a vehicles for example. Yeah. So
  1392. how do you see the
  1393. >> the like current DC use
  1394. >> in electric current?
  1395. >> That is the next step
  1396. actually. So you're absolutely right. So
  1397. we're trying to transition from from
  1398. converting from DC. So a lot of DC
  1399. renewable energy is DC mainly to AC and
  1400. then back to DC. So we can do basically
  1401. everything in DC right now because a lot
  1402. of electric vehicles are actually all
  1403. the electric vehicles are DC. So you
  1404. need to like lose some some power
  1405. there and it loses AC. Exactly. And
  1406. that's the reason DC powers DC devices
  1407. are getting a lot of potential right
  1408. now.
  1409. >> And it's going to be increasing
  1410. for sure in the next coming years. DC is
  1411. going to be one of the main topics.
  1412. >> Okay.
  1413. >> And especially when there's renewable
  1414. energy, you want to stay in DC to
  1415. avoid losses.
  1416. >> And we heard some noise. What kind of is
  1417. going on? So right now the colleagues
  1418. are clearing up I think for
  1419. performing the tests. So this is a
  1420. commercial laboratory. So we have
  1421. clients bringing their devices here
  1422. >> to this lab to be able to
  1423. >> to be destroyed actually.
  1424. >> To be destroyed. Yeah. To be destroyed.
  1425. >> Yeah. So that they adhere to the to the
  1426. standards that the devices are supposed
  1427. to be.
  1428. >> And then you certify them.
  1429. >> No. A doesn't certify. They provide a we
  1430. provide a test report.
  1431. >> Yeah. so that they can take this to the
  1432. certification agency and then of course
  1433. the agency looks through this report
  1434. >> and then then they certify the
  1435. device
  1436. >> and you said most of the clients
  1437. that are coming are from Korea and China
  1438. >> all over the world all over the world.
  1439. So absolutely
  1440. >> and AIT is one of its kind. Who does
  1441. this report?
  1442. >> U for Austrian ecosystem. So you we're
  1443. in the smartest laboratory. That's
  1444. >> I think one of the only ones in Austria
  1445. which provides this test reports for
  1446. inverters
  1447. >> mainly and this is one of the very few
  1448. if not the only one in Europe which does
  1449. high voltage or high current DC
  1450. testing.
  1451. >> Okay. and there were a deer lab that
  1452. you mentioned there about how many of
  1453. them are
  1454. >> I don't know the current number so
  1455. probably 30 labs across Europe the labs
  1456. initiative
  1457. >> yeah just to make a context that this is
  1458. a association to coordinate all the labs
  1459. across Europe right so to know overlap
  1460. work and yeah if you can tell us a
  1461. bit more about it
  1462. >> yeah so dabs is a European initiative
  1463. to it's an association of all the
  1464. research laborator countries
  1465. >> mainly on renewable energy across
  1466. Europe.
  1467. >> so we have members from basically all
  1468. the countries and the goal was to
  1469. establish cooperation between
  1470. research institutions so that we don't
  1471. develop similar competencies.
  1472. So we don't want to overlap our comp
  1473. competencies
  1474. >> so that we don't basically waste
  1475. funding to because it's it's a lot of
  1476. funding that that's being used to
  1477. develop this this and it takes years to
  1478. develop and we don't want to
  1479. >> waste it by by developing
  1480. competences and compete against each
  1481. other.
  1482. >> So we want to complement each other. So
  1483. I think that's the reason. So if you
  1484. have a client with a particular product
  1485. so they can go to the their lab
  1486. consortia and then they can ask which
  1487. laboratory can can do this testing
  1488. >> and then that their lab will send it to
  1489. us or to any other research laboratory
  1490. across Europe.
  1491. >> Okay. Maybe we could reach them.
  1492. >> Yeah.
  1493. >> Totally. I can put you in touch with
  1494. them.
  1495. >> Daniel is electrical engineer so
  1496. he understands everything already but
  1497. what's there if you could explain a bit.
  1498. >> Yeah. So this is the DC.
  1499. >> Show me.
  1500. >> Yeah you can we can go inside. Yeah.
  1501. >> Okay. Wow. Let's go. We're improvising
  1502. here. And
  1503. Okay. Amazing.
  1504. Wow. Okay. So, so here
  1505. >> put it here.
  1506. >> Okay. We still have battery. So, we can
  1507. do something.
  1508. >> Yeah. So the main goal of the DC cube
  1509. is to convert electricity from AC
  1510. alternate current to direct current.
  1511. >> here we have a rack of diodes which
  1512. does that in a rectifying
  1513. >> in a rectification fashion.
  1514. >> Yeah.
  1515. >> Wow. This is
  1516. >> so you have different diodes.
  1517. >> Yeah.
  1518. >> Wow. I can here. Yeah.
  1519. >> And this is fully customizable. So we
  1520. can get multiple combinations of
  1521. of voltage and current. So we can have
  1522. very high current application. We can
  1523. have very high voltage application. So
  1524. this is fully customizable.
  1525. >> Wow.
  1526. >> This is all copper and then there are
  1527. transformers right above.
  1528. >> Wow.
  1529. >> Super. Do you have more questions,
  1530. Robert, of this?
  1531. >> Yeah, I'm just actually very I feel like
  1532. a kid, but it's interesting.
  1533. And also if we can go where you blow
  1534. up.
  1535. >> Yeah, sure.
  1536. >> Wow. Yeah.
  1537. Oh, this is so amazing.
  1538. Wow. Now we are walking through the
  1539. lab,
  1540. >> the external test chamber.
  1541. >> Okay, the external test chamber. So here
  1542. you make the test to blow the
  1543. this is for the protections right?
  1544. >> Yep. Exactly.
  1545. >> Amazing. So fuses, protection
  1546. devices, relays, circuit breakers, so
  1547. on and so forth.
  1548. >> And how often these tests happen?
  1549. >> quite a lot. Right now it's very busy
  1550. >> and that's the reason we are here
  1551. super early otherwise this will
  1552. already be starting.
  1553. >> Yeah, we came here super early just to
  1554. for the note.
  1555. It
  1556. >> is amazing. It worth it.
  1557. Okay. So, it has been amazing being
  1558. here. Thank you very much for having
  1559. us
  1560. >> and yeah, I think we can come back for
  1561. more insights.
  1562. >> It's it's it's really cool.,
  1563. especially thank you for taking ush
  1564. for the spin in the in the lab because
  1565. >> being in the office is always fun, but
  1566. it's it's it's about people behind the
  1567. energy and also in the environment that
  1568. they work in.
  1569. >> 100%. So thank you Barrett.
  1570. >> Thank you so much.
  1571. >> Thank you very much and probably see you
  1572. again.
  1573. >> Yeah absolutely for
  1574. >> another interview. So
  1575. >> thank you for the community for watch
  1576. the interview and stay tuned for the
  1577. next episode. See you there.