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CREATED:20250703T143501Z
LAST-MODIFIED:20250703T143501Z
DTSTAMP:20260721T004558Z
UID:1784583958@tuc.gr
SUMMARY:Thesis presentation of Erasmus stude
 nt Yago Fernandez Alonso - School of
  ECE
LOCATION:Λ - Κτίριο Επιστημών/ΗΜΜΥ, 141Π-36,1
 41Π-37
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=7891&cHash=b41a58c568cb7ff
 67cd3953ff9c0b87d\nTECHNICAL UNIVERS
 ITY OF CRETE\n School of Electrical 
 and Computer Engineering \n Undergra
 duate Program\n Presentation of the 
 Diploma Thesis\n by Erasmus student 
 Yago Fernandez Alonso titled:\n Desi
 gn of a zero-emission building with 
 Renewable Energy Sources in Simulink
  / Matlab\n Thesis committee\n Profe
 ssor Eftychios Koutroulis (superviso
 r)\n Assistant Professor Georgios Pe
 ppas\n Professor Daniel Morinigo-Sot
 elo (University of Valladolid)\n Abs
 tract \n This study is focused on th
 e design and simulation of a residen
 tial zero-emission building (ZEB) eq
 uipped with integrated Renewable Ene
 rgy Sources (RES), such as photovolt
 aic (PV) panels, and an energy manag
 ement algorithm. The primary goal is
  to optimize the building’s energy p
 erformance by increasing the self-co
 nsumption of locally generated Renew
 able Energy Sources (RES) and minimi
 zing reliance on the power grid. A d
 ynamic simulation model was develope
 d in MATLAB/Simulink to replicate re
 alistic building energy behaviour, c
 onsidering actual energy loads such 
 as heating, ventilation, air conditi
 oning (HVAC), and household applianc
 es. A smart energy management algori
 thm was implemented as a MATLAB mode
 l to control the use of energy based
  on supply-demand balance, efficienc
 y goals, and economic incentives. Th
 e simulation was applied to a buildi
 ng with a total internal volume of 1
 200 m³, and its its performance was 
 evaluated under three representative
  weather conditions for a place in V
 alladolid (41.626, -4.732): a typica
 l day, the coldest day of the year, 
 and the hottest day of the year. For
  each condition, a baseline configur
 ation was analysed alongside two opt
 imization strategies—one aimed at mi
 nimizing energy deficits and the oth
 er at maximizing economic return thr
 ough energy exports to the grid. The
  results revealed that both optimize
 rs significantly improved energy use
  performance across all scenarios. O
 n a typical day, energy deficits wer
 e reduced by approximately 45%, whil
 e on the coldest and hottest days, t
 he improvements reached aroundpproxi
 mately 22% and 62%, respectively. Th
 ese findings demonstrate that even u
 nder challenging conditions, strateg
 ic energy management can lead to mea
 ningful reductions in energy waste a
 nd unmet demand. Overall, this work 
 confirms that the combination of RES
  integration, realistic load modelli
 ng, and smart control strategies can
  significantly enhance the environme
 ntal and economic performance of res
 idential buildings. The proposed met
 hodology contributes to the broader 
 goal of decarbonizing the built envi
 ronment and provides a foundation fo
 r the design of future zero-emission
  residential systems.\n
STATUS:CONFIRMED
ORGANIZER;RSVP=FALSE;CN=TUC;CUTYPE=TUC:mailto:webmaster@tuc.gr
DTSTART:20250709T110000
DTEND:20250709T120000
TRANSP:OPAQUE
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