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DTSTART:19700329T030000
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BEGIN:VEVENT
CREATED:20250703T143501Z
LAST-MODIFIED:20250703T143501Z
DTSTAMP:20260612T011354Z
UID:1781216034@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.tuc.gr/el/to-polytechnei
 o/ilektronikes-ypiresies/imerologio/
 imerologio-ekdiloseon-1?tx_tucevents
 2_tuceventsdisplay%5Baction%5D=show&
 tx_tucevents2_tuceventsdisplay%5Bcon
 troller%5D=Event&tx_tucevents2_tucev
 entsdisplay%5Bevent%5D=7891&cHash=c0
 8cd4cfb418bcd559898aea7a70a2f7\nTECH
 NICAL UNIVERSITY OF CRETE\n School o
 f Electrical and Computer Engineerin
 g \n Undergraduate Program\n Present
 ation of the Diploma Thesis\n by Era
 smus student Yago Fernandez Alonso t
 itled:\n Design of a zero-emission b
 uilding with Renewable Energy Source
 s in Simulink / Matlab\n Thesis comm
 ittee\n Professor Eftychios Koutroul
 is (supervisor)\n Assistant Professo
 r Georgios Peppas\n Professor Daniel
  Morinigo-Sotelo (University of Vall
 adolid)\n Abstract \n This study is 
 focused on the design and simulation
  of a residential zero-emission buil
 ding (ZEB) equipped with integrated 
 Renewable Energy Sources (RES), such
  as photovoltaic (PV) panels, and an
  energy management algorithm. The pr
 imary goal is to optimize the buildi
 ng’s energy performance by increasin
 g the self-consumption of locally ge
 nerated Renewable Energy Sources (RE
 S) and minimizing reliance on the po
 wer grid. A dynamic simulation model
  was developed in MATLAB/Simulink to
  replicate realistic building energy
  behaviour, considering actual energ
 y loads such as heating, ventilation
 , air conditioning (HVAC), and house
 hold appliances. A smart energy mana
 gement algorithm was implemented as 
 a MATLAB model to control the use of
  energy based on supply-demand balan
 ce, efficiency goals, and economic i
 ncentives. The simulation was applie
 d to a building with a total interna
 l volume of 1200 m³, and its its per
 formance was evaluated under three r
 epresentative weather conditions for
  a place in Valladolid (41.626, -4.7
 32): a typical day, the coldest day 
 of the year, and the hottest day of 
 the year. For each condition, a base
 line configuration was analysed alon
 gside two optimization strategies—on
 e aimed at minimizing energy deficit
 s and the other at maximizing econom
 ic return through energy exports to 
 the grid. The results revealed that 
 both optimizers significantly improv
 ed energy use performance across all
  scenarios. On a typical day, energy
  deficits were reduced by approximat
 ely 45%, while on the coldest and ho
 ttest days, the improvements reached
  aroundpproximately 22% and 62%, res
 pectively. These findings demonstrat
 e that even under challenging condit
 ions, strategic energy management ca
 n lead to meaningful reductions in e
 nergy waste and unmet demand. Overal
 l, this work confirms that the combi
 nation of RES integration, realistic
  load modelling, and smart control s
 trategies can significantly enhance 
 the environmental and economic perfo
 rmance of residential buildings. The
  proposed methodology contributes to
  the broader goal of decarbonizing t
 he built environment and provides a 
 foundation for 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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