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CREATED:20260110T110421Z
LAST-MODIFIED:20260110T110421Z
DTSTAMP:20260909T123932Z
UID:1788946772@tuc.gr
SUMMARY:"Power systems planning for the ener
 gy transition. Analytical methodolog
 ies and key challenges" by Dr. Thoma
 s Nikolakakis
LOCATION:Λ - Κτίριο Επιστημών/ΗΜΜΥ, 145Π-58
DESCRIPTION:https://www.ece.tuc.gr/el/katalogos-
 ekdiloseon?tx_tucevents2_tuceventsdi
 splay%5Baction%5D=show&tx_tucevents2
 _tuceventsdisplay%5Bcontroller%5D=Ev
 ent&tx_tucevents2_tuceventsdisplay%5
 Bevent%5D=8223&cHash=ee313c6ea3d1c20
 943f0675955db079e\nAbstract\n Moving
  towards carbon neutrality requires 
 gradually transforming the technolog
 ical, regulatory and fuel landscape 
 of the energy system. The power sect
 or is expected to grow significantly
 , as low carbon electricity -primari
 ly from renewable and nuclear source
 s- is likely to supply an increasing
  share of end-use demand across all 
 sectors (industry, buildings, transp
 ort). In addition, several parts of 
 the energy sector are difficult to d
 ecarbonize without the use of electr
 ofuels which are produced using elec
 tricity.  The transformation of the 
 power sector faces numerous challeng
 es. Integrating high shares of solar
  and wind power makes the process of
  balancing electricity supply and de
 mand more challenging. Addressing th
 is challenge requires enhancing flex
 ibility across regulatory, operation
 al and technical dimensions (includi
 ng flexibility in all generation, tr
 ansmission/distribution, demand, ele
 ctricity storage, Power to X). At th
 e same time, reliability must be mai
 ntained in power systems dominated b
 y inverter-based, low-inertia techno
 logies. Early planning is key to ach
 ieving the transition at minimal cos
 t. A variety of analytical methodolo
 gies and tools/models have tradition
 ally been used to simulate power sys
 tem operations, optimize investments
  on generation and transmission and 
 ensure system reliability. More rece
 ntly, research has advanced toward i
 ntegrated modelling approaches where
  decisions in the power sector are a
 nalyzed/optimized through soft linki
 ng different type of models - such a
 s macro-economic models, least-cost 
 optimization models, and grid analys
 is tools – while accounting for emer
 ging technologies like electricity s
 torage, electrolyzers and electric v
 ehicles. This presentation discusses
  key modelling approaches, important
  challenges and current research are
 as in the analysis of low carbon pow
 er systems.\n \n About the Speaker\n
  Thomas Nikolakakis is an engineer a
 nd expert on power systems planning.
  He has multi-year experience on mod
 eling the different aspects of elect
 ricity generation and transmission a
 nd studying the role of the power se
 ctor as part of the wider energy sec
 tor, the energy transition and the e
 conomy. Contemporary topics of engag
 ement include impacts of solar and w
 ind integration on system operations
 , the impact of EV’s on the electric
 ity load and related investments, an
 d enhancing system flexibility (flex
 ible generation, electricity storage
 , EVs, smart grids, regional integra
 tion, electrofuels etc). In differen
 t cases Thomas has worked closely wi
 th energy ministries and utilities a
 nd has done analysis on power system
 s from more than 20 countries and/or
  regions. Thomas has worked as a sen
 ior modeling expert with many intern
 ational organizations including the 
 World Bank (ESMAP), the Internationa
 l Atomic Energy Agency (IAEA), the I
 nternational Renewable Energy Agency
  (IRENA) and the International Energ
 y Agency (IEA). Since 2023, Thomas h
 as also worked as senior researcher 
 with the DSS lab of the NTUA where, 
 under the Horizon project (DIAMOND),
  has supported the development of th
 e electricity and heat modules of th
 e EU-CLEWs model using OSEMOSYS. Tho
 mas holds a PhD on energy systems mo
 deling from Columbia University and 
 a diploma in environmental engineeri
 ng from the Technical University of 
 Crete. \n
STATUS:CONFIRMED
ORGANIZER;RSVP=FALSE;CN=TUC;CUTYPE=TUC:mailto:webmaster@tuc.gr
DTSTART:20260112T110000
DTEND:20260112T120000
TRANSP:OPAQUE
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