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EU Action Plan for the Digitalisation of the Energy System in CEE - Panel 3- TEB 2nd Forum

· 44m

TL;DR

Digitalization is crucial for Europe's energy transition, enabling grid optimization, renewable integration, and consumer empowerment, but faces regulatory and cyber security hurdles.

Synopsis
The panel discusses the EU's digitalization action plan, emphasizing the need for implementation, data interoperability, and regulatory reform to accelerate the energy transition. Experts highlight the potential of AI and digital twins to optimize grid capacity and integrate more renewables, moving beyond worst-case scenario planning. However, challenges include data silos, cyber security risks, and the slow pace of regulatory adaptation, particularly in Central and Eastern Europe. The discussion also covers the unique advantages of smaller CEE countries for innovation, the importance of investing in European digital technologies, and the need for standardized solutions to ensure equitable access and consumer empowerment. Critical vulnerabilities like widespread default passwords for PV inverters and the disconnect behavior of older PV installations are raised as major cyber security and grid stability concerns.

Key metrics

by the numbers · 8
  • 1 GW
    Bland wind and PV capacity
  • 2.5 GW
    Bland total installed capacity
  • 62 years
    Average UK transformer age
  • 2,200 GW
    US grid connection backlog
  • 3 GW
    Europe's spinning reserve
  • 10 times
    PV capacity vs. spinning reserve
  • 0000
    Common inverter password
  • 9 GW
    Austria's installed PV capacity

Topics

8 tags
Digitalization PolicyGrid OptimizationAI in EnergyData SharingCyber SecurityRenewable IntegrationRegulatory ReformCEE Energy Transition
Stats
Duration
44m
Words
7.0k
Questions
27

Timeline

10 chapters
  1. Austrian R&D for Digitalization

    Sabina discusses Austria's R&D policies supporting the 4Ds of energy transition and international cooperation programs like Clean Energy Transition.

  2. EU Policy Implementation Gap

    Angela highlights the challenge of implementing high-level EU action plans and the difficulty of achieving a clear, unified vision among diverse experts.

  3. AI and Digital Twins for Grid Optimization

    Barat explains how AI and digital twins can move grid operations beyond worst-case scenario planning, enabling greater integration of renewables and EVs by using real-time data.

  4. Bland Energy's Hybrid Parks

    Michel details Bland Energy's experience with high renewable penetration (1 GW wind/PV, 2.5 GW total capacity) and the implementation of hybrid parks combining wind, PV, and BESS, requiring extensive digitalization.

  5. Industry View on Grid Challenges

    Alish from Siemens Energy discusses the unprecedented challenges to energy grids due to rapid renewable growth, increased consumption from heat pumps and EVs, and the need for digitalization.

  6. European Digital Technology Investment

    Sabina emphasizes the strategic importance for Europe to invest in its own digital technologies to reduce dependence on non-European suppliers and accelerate scale-up from research to market.

  7. Equitable Digital Access in CEE

    Angela addresses how the EU action plan can ensure equitable access to digital infrastructure in CEE, advocating for standardized technology adoption to allow these regions to build on Western European solutions.

  8. Utility Data Sharing Challenges

    Michel discusses the difficulties utilities face in sharing data, highlighting security concerns for online data and the need for standardization, trust, and clear governance frameworks.

  9. CEE as Innovation Leaders

    Alish argues that smaller CEE countries have a unique advantage for driving energy innovation due to their more controllable systems, citing examples of successful collaborations and technology development.

  10. Cyber Security Risks of PV Inverters

    Barat raises a critical cyber security threat: the widespread use of default passwords (e.g., '0000') on PV inverters across Europe, which could lead to a continental blackout given the high installed PV capacity versus spinning reserve.

Key insights

5 takeaways
  • 01

    Regulatory courage needed for grid optimization

    Current regulations often rely on worst-case scenarios, leaving significant grid capacity unused. A shift in regulatory mindset is required to fully leverage digital technologies like AI and dynamic line rating for real-time optimization.

  • 02

    CEE countries are innovation leaders

    Smaller Central and Eastern European countries, with their more manageable systems, are proving to be fertile ground for developing and testing innovative digital energy solutions, rather than merely following Western Europe.

  • 03

    Data silos hinder energy system progress

    Despite abundant data, its fragmentation across different systems and reluctance to share between utilities, startups, and researchers significantly impede innovation and efficient grid management.

  • 04

    Cyber security is critical grid vulnerability

    The widespread use of devices like PV inverters with default passwords poses a continental blackout risk, far exceeding Europe's spinning reserve capacity, demanding immediate regulatory and manufacturing intervention.

  • 05

    European digital tech independence crucial

    Europe's over-reliance on non-European digital technologies for critical infrastructure introduces significant security risks, necessitating faster development and market adoption of indigenous solutions.

Pull quotes

6 quotes
  • What is missing is that we have to bring this into implementation.
    Angela
  • So we're leaving out a lot of grid capacity on the table. So we can be integrating lot more renewable energy.
    Barat
  • The two biggest challenges is the topic of data structure, data quality, decision making.
    Michel
  • Digitalization is really the lowhanging fruit.
    Alish
  • It's really key that in Europe we invest more in their own digital technologies because we at the moment too much in dependent on Chinese and US technologies and that's really a risk for this critical infrastructure.
    Sabina
  • The spinning reserve of Europe is approximately 3 GW and we have 10 times that amount of photoolike installed in Europe and cyber security is extremely important in this situation and do the most famous password for all these inverters that is connected there 0000
    Barat
Transcript1010 cuesClick a timestamp to jump
  1. I would immediately come to the
  2. questions and would like to start with
  3. Sabina some regulatory perspective.
  4. So what do you think what are the
  5. implications of the EU action plan for
  6. digitalization of the energy system
  7. research and innovation and how would
  8. you address this in Austria?
  9. >> Yeah, thank you very much for the
  10. question and thank you for the
  11. invitation. I think first of all I
  12. can echo that we really also
  13. support the 4Ds of energy transition.
  14. We also have implemented this principles
  15. in all our R&D policies in the
  16. ministry of innovation. Yeah, we are
  17. responsible for energy R&D. So in my
  18. case for the energy programs and for
  19. industrial transformation
  20. and there of course all these
  21. topics are funded in different R&D
  22. programs. So we have the major
  23. program is the energy R&D program.
  24. it's located in the Camden energy fund
  25. but since two years we are funding it
  26. also additionally from the ministry.
  27. we have especially for this
  28. digitalization which is a it's a cross
  29. cutting topic it's an own research
  30. priority in most of the programs in
  31. energy transition of course we have a
  32. specific focus on it but we have
  33. other programs where we also see more
  34. and more digital projects coming up
  35. like for example in the metro cities
  36. in the industrial transformation
  37. information or in programs of mobility
  38. or heat transition and that's the
  39. national part and of course we also are
  40. working a lot with international
  41. programs it was mentioned by Angela the
  42. clean energy transition which is the
  43. major one for energy projects where you
  44. can really cooperate with countries
  45. 30 countries I think you only need
  46. three partners from three different
  47. countries but it's really a good
  48. opportunity But still there is a
  49. need to integrate better these
  50. central and European countries because
  51. it there are lacking I think research
  52. partners from that side and we also have
  53. IA programs where you can also
  54. cooperate with I think more than 50
  55. countries in the world and there are
  56. many in all different energy
  57. energy topics.
  58. >> Thank you very much. So to continue with
  59. angular you already touched the legal
  60. framework in your talk as well and
  61. Sabina mentioned some challenges ahead.
  62. So from your perspective what the
  63. current are the current and planned
  64. politics on European and even local
  65. level sufficient or is there anybody
  66. thing missing what would you like to
  67. have there if you can choose anything?
  68. >> Yes. as I already mentioned in my
  69. speech there are many things happen
  70. in Europe and also the European
  71. action plan is very have high goals
  72. and I think this is very good but
  73. what is missing is that we have to
  74. bring this into implementation.
  75. So when I talk about my topic I yes and
  76. so we thought we will start a
  77. revolution. So we point out a
  78. clear methodology, a clear way how to
  79. work together, specify together and so
  80. on and then everything would be
  81. interoperable. So that's what we
  82. thought. Now it's about five or seven
  83. years later and we don't have the
  84. community in the energy sector yet.
  85. So what I learned is that we have to
  86. take smaller steps but we have to do
  87. them and I think that is really
  88. important al also on European level
  89. I'm in the smart energy expert
  90. group from u from the commission and
  91. there's u so many experts on their topic
  92. and it's so hard to bring them together
  93. to develop a clear vision because
  94. everybody is
  95. sees his own expertise, his own topic is
  96. one of the most important and then it's
  97. very hard to get this overall picture.
  98. But this is what we will need in the
  99. next years and we have to accelerate
  100. this and there are so many solutions we
  101. can use them. If we combine them then we
  102. can make two steps in one
  103. approach.
  104. >> Thank you very much. So you need an
  105. energy bridge you would like to say with
  106. that.
  107. Okay then I would like to go to the
  108. research point of view now. So but you
  109. as well coming back to your talk a bit.
  110. So you talked about digital twins
  111. obviously and that predictive analytics
  112. are often mentioned as game changers
  113. together with dig digital twins. so
  114. from your perspective again how close
  115. are we to moving beyond pilots and
  116. toward real deployment and if digital
  117. process twins were integrated tomorrow
  118. what immediate benefit would utilities
  119. like Bungland and GC see from that?
  120. >>.
  121. Yeah, absolutely. like I
  122. mentioned in my presentation, I think we
  123. are at this AI inflection point. So
  124. because when we transition from very
  125. manual
  126. engineers sitting in front of the
  127. computer and then crunching numbers and
  128. then doing network planning and
  129. operation and not bringing in real-time
  130. data and getting inputs from from you
  131. know all these different sensors that
  132. are out there and using them to be able
  133. to make better informed decisions. I
  134. think that's the turning point. So we
  135. should be able to get all this
  136. information that's out there and put it
  137. into one system again single source of
  138. truth and then use this to make
  139. decisions. This is this is going to be
  140. far better than what's being currently
  141. done right now because right now so
  142. utilities DSOs TSOs they only use worst
  143. case scenario.
  144. So we're leaving out a lot of grid
  145. capacity on the table.
  146. So we can be integrating lot more
  147. renewable energy. We can be integrating
  148. lot more electric vehicles, heat pumps,
  149. so on and so forth into the current
  150. infrastructure already if we are able to
  151. get real-time information and predict
  152. and optimize it better. But right
  153. now we're not. So we're only assuming
  154. the worst and optimizing the system
  155. based on this worst case scenario. So I
  156. think that needs to change immediately
  157. and digital twins and AI can help us do
  158. that to make better decisions.
  159. >> Very interesting. So I now have to be
  160. careful to not get into the discussion
  161. working for a TSO but better continue
  162. with Michel at this point of view. So we
  163. already heard in the morning from Mr.
  164. Enza about the high ambitions in Austria
  165. regarding climate goals and
  166. decarbonization and Bland is here in
  167. Austria and I think in the whole of
  168. Europe a pioneer as well regarding
  169. integration of renewable energies and so
  170. I guess you have already handled quite
  171. some challenges through the introduction
  172. of such amount of reable renewable
  173. energies in your region and have there
  174. been already been measures implemented
  175. with focus on digitalization which is
  176. our topic here and are you ready or are
  177. you already do doing that that you share
  178. your experiences with energy suppliers
  179. in other regions and in particular in
  180. central eastern Europe which is our
  181. focus here and those might be facing
  182. questions you had to answer already so
  183. they could learn a lot from you I guess
  184. >> okay good afternoon ladies and gentlemen
  185. it's a pleasure to be here thanks for
  186. for the invitation you mentioned
  187. at the very beginning we should be an
  188. energy independent so-called
  189. 2030. Yeah, that's the plan. That's the
  190. strategy. whereas independent is
  191. a special a special discussion maybe
  192. what that means in particular. I take it
  193. as a compliment actually that energy has
  194. what do you say 150% of its
  195. electricity needs covered by its own.
  196. Maybe you from a TSO perspective
  197. see that a little different maybe.
  198. but we actually in Bergland at the
  199. Bland are very proud of this and of
  200. course u our portfolio at the moment
  201. we have around 1 gawatt of wind and PV
  202. installed at Bland Energy. In Burgland
  203. we have around 2, 500 megawatt or 2.5 GW
  204. of installed capacity capacity in total
  205. and a maximum load of let's say 300
  206. megawatt. So this also this already
  207. implies that there's a lot of need for
  208. digitalization otherwise we wouldn't
  209. have a chance to feed in all that energy
  210. and yeah what's what's the limit
  211. actually that we see or or the biggest
  212. challenge that we see is the limited
  213. grid capacity we would do more if we
  214. could yeah
  215. mostly yes but also of course I agree
  216. there's a lot a lot of space for
  217. digital improvement definitely this
  218. goes in parallel and but in
  219. Burnland we implemented so-called
  220. hybrid parks so we have we're coming
  221. actually in Bland from from from the
  222. wind production side so we developed
  223. our wind parks starting from 1997 up to
  224. now so we were only a wind operator
  225. first and now we have a capacity a
  226. grid capacity for wind and Then we add
  227. another double capacity of wind in PV
  228. and now we adding another
  229. amount of B storage systems to full
  230. hybrid parks. So we have for example 100
  231. megawatt of grid capacity. Then we have
  232. installed there 100 megawatt of wind,
  233. 100 megawatt of PV and then another 100
  234. megawatt of best systems. And this
  235. implies of course that we need a certain
  236. amount of digitalization and the
  237. challenges are huge. Definitely imagine
  238. the controller for the system for
  239. example it's very very complex to
  240. to calculate all the incomes
  241. that's coming from the market from the
  242. grid operator coming from the
  243. optimization of the grid. So this is
  244. this is a big challenge. The
  245. monitoring is a challenge because the
  246. the digitalization components that you
  247. use are all of different generations. So
  248. you need to get that on a certain level
  249. and what I see is the two biggest
  250. challenges is the topic of data
  251. structure, data quality, decision
  252. making. Yes. agree. But from a
  253. system security perspective, the data
  254. quality is decisive. And of course,
  255. we're coming in into a power system,
  256. so-called democratic energy system.
  257. that is a very welcome way, but it also
  258. on the other hand increases the complex
  259. complexity a lot. And also the topic of
  260. cyber security is also a very big
  261. challenge. That's what we see from our
  262. first experience.
  263. >> Thank you very much. So I hope we can
  264. cover this topic as well in this panel
  265. if we have enough time. And now we heard
  266. the perspectives from regulatory, we
  267. heard the research possibilities, we
  268. heard the needs from suppliers. And now
  269. I would come to Alish and ask you what
  270. is Seammen's energy's take on the
  271. digitalization of the energy systems and
  272. do you develop tools already to help
  273. enabling it and what is the view of the
  274. industry in general regarding the
  275. biggest challenges in the optimization
  276. of the energy system and are you
  277. actively investing in the integration of
  278. AI for example.
  279. >> Yeah, thank you very much for the
  280. question. I must say I loved the
  281. statement so far. I loved also the
  282. presentation of Barat. I think we have a
  283. very much in common. So in order for
  284. this to be a discussion, we need to look
  285. at it from a few different angles. But I
  286. think everybody here is
  287. completely on one page that
  288. the challenges to the energy grids are
  289. really unprecedented.
  290. we have seen so much growth of
  291. renewables and let's face it
  292. nowadays this has indeed become the most
  293. cost effective way how to add extra
  294. capacity to the grid if you
  295. want to buy build a power plant I'm not
  296. even talking about nuclear plants but
  297. just classical power plants it
  298. takes a long time to do it so the
  299. fastest and the cheapest way is to add
  300. renewables that there is definitely no
  301. going back from that what that does Of
  302. course, as everybody here also knows is
  303. that it adds a lot of uncertainty into
  304. the system, unpredictability into the
  305. system. We are getting much more
  306. dependent on weather, on being
  307. able to predict accurately what the
  308. weather forecast looks like., and I
  309. will also go back to what you said,
  310. but there is a lot of data out
  311. there, but it is in silos. we do not
  312. have so that's why that picture
  313. remains with me really very much you
  314. know the data silos need to be
  315. broken down regarding
  316. digitalization I also think if if we say
  317. now renewables are the answer to the
  318. extreme growth of demand that is the
  319. one side of the coin the other side is
  320. also the consumption because also the
  321. consumption has changed a lot
  322. you have you mentioned heat pumps
  323. electrical cars, we are talking about
  324. electrifying everything and that adds
  325. even further to the complexity. So I
  326. think there is just no
  327. alternative to digitalization of the of
  328. the power grids and to make use of
  329. all of this data. you mentioned
  330. artificial intelligence. Yes, of course,
  331. artificial intelligence is needed to
  332. interpret all of this, but it also adds
  333. a little bit to the problem because
  334. artificial intelligence is one of the
  335. biggest drivers of consumption nowadays,
  336. So, it goes actually hand
  337. in hand. But all of this happens you
  338. know in a period of tremendous growth
  339. and then we have remarkable
  340. projects like the salsber light for
  341. example here which we all know how long
  342. it took to build and we just don't have
  343. the time available in Europe to do
  344. that consistently because we will run
  345. out of road I'm afraid., in the US
  346. for example, where the AI
  347. growth is super strong, there are
  348. estimates that I think above 2, 200
  349. gawatt cannot be connected to the
  350. grid. That that's about two times the
  351. size of the entire grid. the same
  352. situation we have in many places. And
  353. on the other hand, how old are these
  354. networks? in Europe on average
  355. I heard the other day in the UK the
  356. average age of the transformer is 62
  357. years right so yes we also
  358. produce very good transformers here in
  359. Austria and yes they do last that long
  360. but it's not something that you
  361. should so now it's a big boom it's it's
  362. everybody is trying to find assets to
  363. use and to add to the grid so that's why
  364. coming back to your question I think
  365. digitalization is really the
  366. lowhanging fruit. what I see as one
  367. of the challenges however and that has
  368. also been touched upon is the regulatory
  369. environment because I also think that
  370. here Europe needs a lot more courage
  371. because everything is based on
  372. the worst case scenario and the
  373. regulatory bodies will need to make that
  374. shift in order to enable guys like you
  375. to take maximum use of this
  376. technology. Yeah. And that's it's an
  377. interesting future that we have in front
  378. of us for sure.
  379. >> Thank you. That's a perfect hand over to
  380. Sabina with the regulatory perspective
  381. again please. and I would like to ask
  382. you are there any specific measures and
  383. research priorities hearing all of that
  384. now from the first round of questions
  385. that should be tackled from your
  386. perspective and what could you do to
  387. help?
  388. yes I can say that maybe all our
  389. programs they are more or less challenge
  390. driven so we don't fix the research
  391. topic in advance we frame it quite open
  392. so that the yeah most interesting and
  393. and yeah the best projects can be
  394. funded according to the needs on the
  395. market but I want to maybe mention
  396. some aspects that I haven't heard so
  397. much so far. I think it's really
  398. key that in Europe we invest more in
  399. their own digital technologies
  400. because we at the moment too much in
  401. dependent on Chinese and US
  402. technologies and that's really a risk
  403. for this critical infrastructure. So
  404. all the developments that are in the
  405. process I think they need to come faster
  406. to the market and should then also be
  407. yeah rolled out and bought and yeah
  408. that's also already the second point
  409. that we need to be faster in the scale
  410. up because in the past we did well
  411. the innovation then it took some time
  412. and we had some demonstration
  413. projects and for example for the energy
  414. communities I know it because we
  415. financed the first projects pilot
  416. project in the year 2008. So it took
  417. more than 10 years 13 years until
  418. this was established really in a
  419. in a law. So
  420. now we need really to
  421. do everything at the same time. Do the
  422. research projects then implement it in a
  423. demonstration and fed it directly
  424. into into the regulatory fra framework.
  425. And for that also we have established
  426. in some of the research programs
  427. combinations. For example, in the
  428. transformation of industry, you can now
  429. apply for a research program
  430. together with an investment program. So
  431. you can get carpex and R&D opex funded
  432. at the same time so that we can support
  433. this this process from the research to
  434. the demonstration. And the third part I
  435. think it will be tackled in the last
  436. session is this user aspect. I think
  437. it's it's also very important that the
  438. technology yeah is made for the
  439. users and for people and that this is
  440. already considered in the in the
  441. research design and yeah that's
  442. integrated and that's what we are
  443. looking in the in the project
  444. criteria for example we really looked at
  445. gender aspects in the topic are
  446. essential.
  447. >> Thank you very much. so to come back
  448. a bit of on the focus of this conference
  449. to central eastern Europe and Angula
  450. again back to you., what do you
  451. think? How can the European Union ensure
  452. equitable access to digital
  453. infrastructure across urban and rural
  454. regions in CE? Because it's, let's say,
  455. easier in digital centers or capitals to
  456. to have such a change, but in the rural
  457. areas, it might be even harder. And how
  458. does the European Union action plan
  459. address the unique digitalization
  460. challenges faced in these regions and
  461. compared to Western Europe? because
  462. already in the last panel Carol for
  463. example mentioned that Slovika is like 5
  464. years behind Austria concerning smart
  465. meters and other challenges in that
  466. regard. So what's your take on that?
  467. >> Well the EU action plan shows that
  468. talks about common data spaces and u
  469. and consumer empowerment and digit
  470. interability standards. So if you make a
  471. roll out of digital technology then
  472. it's use it's doesn't make
  473. doesn't matter where you are located. So
  474. in the central European and
  475. eastern part they face big challenges
  476. like they have old grits and lack of
  477. investments and the action plan
  478. foresee funding for that but
  479. they should invest in standardized
  480. technology. So in the same way
  481. like we do in the western Europe
  482. European countries and they can build on
  483. on our solutions. So in the in the
  484. example of smart meters, the first
  485. generation of smart meters were not so
  486. smart but now they developed and now
  487. they can when we in roll out smart
  488. meters in central and eastern Europe
  489. then they can build on these experience
  490. and we should really take care that
  491. these investments follow these
  492. standardized solutions well otherwise
  493. they can't participate in digital
  494. markets and so on. So we really should
  495. think that harmonization on European
  496. level is
  497. the law there also.
  498. >> Do if this is already
  499. happening? Are they talking to each
  500. other?
  501. >> I know how how difficult it is on
  502. European level. well I don't know if
  503. they do it already but we have to try to
  504. do this and really show that the
  505. investments go in the right direction
  506. there.
  507. >> Okay. Thank you very much. So coming
  508. back to the research perspective but
  509. and I want again talk about technologies
  510. obviously with you. So what are emerging
  511. technologies? What emerging tech digital
  512. technologies are most promising for
  513. transforming the energy system after
  514. all. And as we all know and we heard
  515. about it in the second panel as well
  516. already, the most valuable asset here is
  517. data of course.
  518. >> And is there any one major puzzle piece
  519. missing for you which is maybe even from
  520. regulatory perspective necessary to
  521. facilitate data sharing which is key I
  522. guess.
  523. >> Yeah, absolutely. I've already
  524. highlighted this in my presentation. I
  525. think it's important to break the silos
  526. first of all crossber data exchange
  527. especially from the research perspective
  528. because right now it's still not very
  529. conducive at the moment it's it's it's
  530. difficult to get data from from
  531. different countries because of course
  532. first of all the network
  533. operators are very conservative and they
  534. it's it's valuable data of course they
  535. don't want to share this yeah in Austria
  536. for example AIT is in Austria so that
  537. makes it a bit more easier
  538. compared to getting data from a network
  539. operator outside of Austria. So we need
  540. to somehow break these or reduce these
  541. barriers. Yeah. In my opinion. So in
  542. terms of digitalization technologies
  543. themselves obviously AI there
  544. were some in for example my first
  545. local energy community project was
  546. called clue project. This was in 2018
  547. and I was a coordinator there and
  548. back then we were pushing for
  549. blockchain. that was like a big deal in
  550. 2018 and I can definitively say that
  551. we will not be pursuing that anymore.
  552. the one reason of course is because the
  553. law of local energy community in Austria
  554. really hinders this. There's not really
  555. any peer-to-peer market possible
  556. because it's energy accounting at least
  557. in the current version of the law. So
  558. that's definitely dead in Austria. But I
  559. think there's still some interest in
  560. some other parts of Europe about this
  561. and that's actually really
  562. interesting to see people are
  563. still pursuing this. That's that's
  564. actually great. yeah, I'm happy about
  565. that. But I would say definitely AI is
  566. the next big thing and I really
  567. see a lot of advantages with that.
  568. for sure. So
  569. I hope that answers your question. I
  570. don't if there were any other specific
  571. technologies that you were interested
  572. in.
  573. >> Of course, I would be happy to talk
  574. about any any technology with you, but I
  575. think in looking at the time it answered
  576. my question. Thank you. Thank you. And
  577. so I want to pass over to Mic again. And
  578. so we heard about in within Austria it
  579. might be easier to get some data for
  580. research at least. And so what do you
  581. think? How can data sharing between
  582. utilities, startups and public
  583. institutions like it be intensivized to
  584. foster innovation because I guess in the
  585. end everybody profits from innovation
  586. and is there something missing in
  587. particular from Bungland and Gil's
  588. perspective and have you set any steps
  589. already to provide researchers and
  590. innovators access to relevant data or
  591. are you little bit protective of the
  592. data?
  593. >> It's a tricky question for utility.
  594. The second question maybe first
  595. yeah we do have a lot of initiatives
  596. with universities with companies develop
  597. developers also startups and from
  598. this from this perspective when we when
  599. we want to innovate or develop a product
  600. or bring in a new solution I think to
  601. develop this the data exchange is
  602. not the issue actually because you can
  603. more or less portion the data and
  604. then or an anonymize the data and then
  605. work on it. but when it comes to
  606. online data it gets a little bit more
  607. tricky and this is mostly a security
  608. problem so far and coming back to the
  609. first part of the question
  610. to foster innovation
  611. standardization that's been said
  612. several times already that's a key issue
  613. from my point of view also mindset is a
  614. big topic you said smart meters I was
  615. still at the university in the
  616. university when the smart meters came in
  617. the first smart meter generation and the
  618. greatest fear of the users was then the
  619. grid operator can see when I'm watching
  620. TV and when I switch on my oven for
  621. example that was the greatest fear at
  622. that time so it's a it's also a
  623. mindset and the data is seen as a
  624. proprietary asset more or less and
  625. when we want to develop the world that
  626. we see in the future. This is must be
  627. more seen as a shared source more or
  628. less where everybody can profit from. I
  629. think it's a soft a soft parameter but a
  630. very important one and connected to
  631. these to this parameter I see trust
  632. and governance. I think they
  633. they influence each other and they need
  634. to have clear rules. Who's the owner of
  635. the data? What's the utilization of the
  636. data? so if you have governance you
  637. can build in trust and then you more or
  638. less reduce the barriers of
  639. interconnecting and exchange data. I
  640. think there's framework has developed in
  641. the last years. There's a lot of things
  642. still to do but you have a way better
  643. framework than like 5 years ago. So
  644. the framework is good but the solution
  645. to really transfer the data then is very
  646. individual still. That's a big challenge
  647. from my point of view.
  648. Okay, challenges ahead. Thank you very
  649. much., Alish, you already grabbed the
  650. mic. Very good., so CE countries are
  651. often seen as followers in digital
  652. energy transitions and we also heard
  653. that from a member of parliament from
  654. Slovakia today., how can countries
  655. change the picture and become leader and
  656. maybe even leaders in energy innovation
  657. rather than followers in the EU digital
  658. transition? And do you think that
  659. collaboration with other institutions
  660. like CTP and Bland Energy can accelerate
  661. this process?
  662. I would start with basically
  663. disagreeing on that. because I think
  664. actually the smaller countries
  665. featuring in central and eastern
  666. Europe have a really unique advantage
  667. in the sense that they are small. So the
  668. systems are a bit less controllable. I'm
  669. not going to use the word sandbox, but
  670. that is actually exactly what.
  671. And to drive that point home, we have
  672. actually as as Simmons energy seen some
  673. of the most innovative solutions and
  674. data application cases come out exactly
  675. out of these countries. We have had a
  676. very very fruitful cooperation in
  677. Croatia. We have signed bit less than
  678. a year ago a strategic cooperation
  679. partnership with the TSO in Slovenia
  680. with ALS exactly specifically for the
  681. purpose of jointly developing new
  682. technologies, new solutions.
  683. it's it helps that most of these grids
  684. are also quite I would say mature in the
  685. sense of stability and they also
  686. possess a certain I would say reserve
  687. they must be of course you cannot try
  688. new technologies on grids that that
  689. are in dire need of investment. but
  690. that that is certainly one thing. I can
  691. also give you a very good example. We
  692. have acquired less than a year ago a
  693. company that is an Austrian company or
  694. so but originally from Slovenia that
  695. is focusing and developing
  696. solutions for the dynamic line rating
  697. application and dynamic line rating I
  698. think is the most the biggest lowhanging
  699. fruit that we have here. they have
  700. been developing this solution for like
  701. 15 years. And how did they do it? Well,
  702. they did it because they were able to
  703. test it in collaboration with the local
  704. TSO also in Austria power grid.
  705. That is the case. So I think
  706. innovativeness is really in the blood of
  707. this part of the world. And but when
  708. it comes to finding new solutions, I
  709. would not say that we are
  710. behind other regions. I would
  711. actually argue the opposite. So I would
  712. encourage everybody to do that.
  713. >> I'm really glad to hear that honestly.
  714. Very good. so we have still time for
  715. next round of questions. 10 minutes.
  716. Perfect. So I would like to get a bit
  717. into risk and chances of digitalization
  718. in particular and start again with
  719. Sabina if I may. So what do you think
  720. what impact will digital systems have on
  721. achieving the EU's climate and sust
  722. sustainability goals after all? Will it
  723. be a major puzzle piece or just one
  724. small among many?
  725. >> Yeah, thanks for this question. I just
  726. wanted to add to the last round because
  727. Barat did not mention it on the AI
  728. that we currently also open an AI
  729. factory Austria at AIT that's a big
  730. laboratory for learning and testing
  731. AI innovations from Austria and it's
  732. open for industry public and
  733. researchers and I hope there will be
  734. many energy related AI technologies also
  735. de developed and tested there. yes
  736. concerning
  737. the digital systems of course as it
  738. was mentioned during the day this
  739. is a great enabler for the climate
  740. goals but what we have seen in the past
  741. we already heard it in other
  742. presentations that also on the EU
  743. level we had very different pillars
  744. and they did not they were not
  745. coordinated very well. So we had the
  746. green deal with all the different
  747. elements but we lost a little bit the
  748. competitiveness area. So it was
  749. not really linked to it and now we
  750. see that we are losing competitiveness
  751. and there are the discussions that this
  752. need to be changed for the next
  753. framework program that all the different
  754. policies and it need to be linked
  755. better together like education
  756. policy, innovation but then also the
  757. industrial policies and also yeah the
  758. qualification side
  759. and yes that's the discussion going
  760. on the European level that really the
  761. framework program and the EU
  762. competitiveness fund and the industrial
  763. policy will be integrated and yeah that
  764. we still follow the climate goals but
  765. also don't lose sight on the on the
  766. competitiveness.
  767. >> Okay, thank you very much. It's for sure
  768. important to keep competitive and
  769. Angula. So another big chance I think
  770. and it was mentioned today with energy
  771. communities and such things. So how can
  772. digitalization empower consumers to
  773. actively participate in energy markets
  774. like being consumers providing demand
  775. response and such stuff and we don't
  776. really have to get deep into that topic
  777. but I think it's also a very interesting
  778. topic. how can digital tools help to
  779. reduce energy poverty and improve energy
  780. access in underserved communities?
  781. probably
  782. >> well consumers can be can profit from
  783. digitalization because there are many
  784. new to tools and so on but they have to
  785. be interoperable because consumers don't
  786. want to they want to have plugandplay
  787. tools and not install drivers from
  788. anywhere like we did 20 years ago. So
  789. if if a consumer has a PV and a and a
  790. storage and an EV u electric vehicle
  791. for instance they need to be able
  792. to talk together otherwise he can just
  793. use it like we did it with for sale
  794. cars for instance. So we really
  795. have to look that we can provide
  796. solutions that are harmonized together
  797. that have platforms which can
  798. share data and then we open the
  799. access to new market models like this
  800. demand response and peer-to-peer trading
  801. and so on. So this I think we have to
  802. do we the legal framework the
  803. technology providers we really have to
  804. look to provide those assets in a in an
  805. interroper way and for vulnerable
  806. households if they have low threshold
  807. access to those tools then we can
  808. provide solutions for them to make
  809. their consumption visible and so on.
  810. So they have already some tools to
  811. work on this and if they are able to
  812. participate for instance in energy
  813. communities because they have a smart
  814. meter and so on then there can be
  815. solutions where we can help them
  816. without many other efforts.
  817. >> Okay. Thank you very much. Interesting.
  818. and to finally address the elephant
  819. in the room, I guess, which is data
  820. security, cyber security.
  821. >> Yeah, right.
  822. >> And not you're not the elephant in the
  823. room, but
  824. there is of course an extensive
  825. exchange of data and ongoing out there
  826. and progressing digitalization beers
  827. increased cyber security risks. So what
  828. are the main threats or maybe the two
  829. main threats from your perspective to
  830. data security associated with
  831. digitalizing energy systems and
  832. >> what do you think how can they be
  833. mitigated so people trust into data
  834. transfers
  835. >> right elephant is my favorite animal so
  836. yeah I don't mind so I think I want to
  837. highlight especially you're from APG
  838. grid operator so I think it was also
  839. mentioned earlier one of the
  840. very important how should I put So a
  841. concern, a security concern would be
  842. this massive amount of photovoltaic
  843. installations across Europe which is
  844. reaching significant amount of
  845. share of our energy share in Europe and
  846. all of these are manufactured in a
  847. different country and we don't have
  848. control over the these devices. So the
  849. spinning reserve of Europe is
  850. approximately 3 GW and we have 10 times
  851. that amount of photoolike installed in
  852. Europe and cyber security is extremely
  853. important in this situation and do you
  854. know the most famous password for all
  855. these inverters that is connected there
  856. 0000
  857. so I think it's it's a huge
  858. vulnerability that we are currently I
  859. think ignoring in my opinion so we
  860. should definitely put high focus on this
  861. this issue and try to get control of
  862. all this distributed inverter based
  863. devices that are across Europe and
  864. it's directly linked to the inertia of
  865. Europe. The spinning reserve is 3 GW
  866. where we can lose one nuclear power
  867. plant in Europe and still be connected
  868. and then the frequency is still stable.
  869. But just imagine that there is a cyber
  870. attack on all of these inverters and
  871. then everything turns off. We cannot
  872. recover from this. So there's going to
  873. be a continental blackout. Yeah, I think
  874. this is super important. That's why I
  875. want to like highlight this. And of
  876. course, I want to echo what Sabina
  877. mentioned about the AI factory. so we
  878. also welcome all of you to submit to
  879. this and be part of it. Yeah, but that's
  880. that's one of the biggest
  881. vulnerabilities that we face right now.
  882. >> So how do we get people to change the
  883. passwords from 0 0?
  884. >> I think this is directly linked to what
  885. Angela just mentioned. So everything
  886. needs to be automated. So we this is one
  887. additional step is too much for a
  888. lot of people. So this needs to be
  889. inherently integrated into what we
  890. sell on the European market. So there
  891. needs to be a very strict regulation on
  892. on cyber security and make sure that
  893. this is somehow already integrated. So
  894. the manufacturers need to put this
  895. in their devices already so that it's
  896. it's safe for everybody. And then there
  897. should not be another step where people
  898. go and change the password.
  899. >> Yeah. Good point., for the Wi-Fi,
  900. that's the case, for example, there, but
  901. that's more important obviously to
  902. people that nobody connects to their
  903. Wi-Fi., for sure.
  904. >> So, Michelle, I would like to continue
  905. with you., what are the key barriers
  906. to creating interoperable and secure
  907. data ecosystems in the energy sector?
  908. What measures have been set by Bung and
  909. Energy, for example, to locally ensure
  910. your data security, if you're allowed to
  911. share that information?
  912. of course at a certain level but
  913. let me get back on this. Of course the
  914. democratization of the energy system has
  915. also its risks in cyber security. We
  916. need to face that but not with fear
  917. but more with just being aware of
  918. that. That happened all the time and it
  919. still happens and I think that that
  920. what's we should care about. I don't
  921. know if somebody in here knows the
  922. 50.2 hertz problem of PV starting
  923. 2000 around 2000. Yeah. Where they had a
  924. normative regulation where they said PV
  925. should disconnect immediately at the
  926. frequency of 50.2 Hz or 49.8
  927. hertz automatically because there were
  928. just a few PV assets in the
  929. grid. So that doesn't really matter. And
  930. with this regulation, the first PV
  931. increase up to 2010 2012 went into the
  932. grid and we had gigawatt in Europe 30
  933. 40 gawatt of PV installed with this
  934. characteristic. So if the frequency
  935. would have gone to 50.2 hertz, you would
  936. have lost
  937. gawatt gawatt 10 15 20 gawatt of that
  938. power with a primary regulation reserve
  939. of 3 gaw. So then now another bad news
  940. the biggest power plant in Austria is
  941. not controllable controllable in a
  942. way from a system security point of
  943. view. PV again so we have more than 9 GW
  944. of PV installed at the moment 80% of
  945. these are not controllable from a
  946. security point of view. So that's not
  947. good news. And then electric vehicles
  948. they coming into the grid. How do they
  949. react when you have a blackout and the
  950. grid power is coming back? How do they
  951. react? That's crucial for getting a
  952. stable grid grid restoration. So
  953. these are things actually that we should
  954. just be aware of and we should think of
  955. when we bring in thousands of units the
  956. digital units what is the system need
  957. for them and what is the effect when
  958. some something goes wrong. I know
  959. there's always the utilities are very
  960. conservative and they are very on
  961. the break. but still they have their
  962. system security somewhere in mind and
  963. that's what breaks them a little but I
  964. think it's a good it's a good balance if
  965. you have the progressive way of
  966. innovation and on the other side you
  967. have the utilities who are okay
  968. taking care of the of the overall
  969. security I think in the last years we
  970. have done a good job in Europe so far
  971. >> that's very positive thank you for that
  972. and so for the last question to Alish
  973. how does a fully digitalized energy
  974. system in CE would look like by 2030
  975. which is in 5 years already and what
  976. milestones must be achieved to get
  977. there. So what will be maybe the
  978. contribution of seammen's energy in
  979. achieving this vision and please a short
  980. answer because somebody's getting
  981. nervous about it.
  982. >> I think my colleagues touched many of
  983. these points already but u I think
  984. crucial is there are different
  985. starting points to getting there. So the
  986. first thing that needs to happen is it
  987. was mentioned standardization
  988. and making as much use of the
  989. data as we can. I wish in 2030 we will
  990. indeed have a fully digitalized energy
  991. system. Not just in terms of putting it
  992. to better use as we have heard, but
  993. definitely also in terms of system
  994. reliability and security because all of
  995. these assets are under immense strain
  996. and we really really are working towards
  997. achieving a transparency of the assets
  998. installed for TSOs so they can be
  999. reliably used. And also last
  1000. but not least that they can be tested
  1001. virtually under difficult different
  1002. stress conditions so that we cover all
  1003. of the scenarios in a digital manner
  1004. and ensuring that the physical system
  1005. remains stable. I think that is key and
  1006. I wish in five years we're all going to
  1007. say yeah good job. Thanks.
  1008. >> Thank you very much to all of the
  1009. panelists. Was a great discussion very
  1010. interesting for me as well. Thank you.