U N I V E R S I D A D T E C N O L Ó G I C A D E L C H O C Ó
“ D I E G O L U I S C Ó R D O B A ”
PERFORMANCE ANALYSIS OF 20 kWp
GRID-CONNECTED PHOTOVOLTAIC SYSTEM
A g e n d a
1 . I n t r o d u c t i o n .
2 . R e n e w a b l e E n e r g y
L a b o r a t o r y .
3 . B I P V S S y s t e m D e s c r i p t i o n .
4 . B I P V S R e s u l t s .
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Fig. 1. Fuente principal de iluminación en el departamento del Chocó
Fuente: Encuestas de consumos y usos de energía PERS Chocó – 2015
1.Introducción
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Fuente: http://atlas.ideam.gov.co/visorAtlasRadiacion.html
1.Introduction
Fig. 3. Solar radiation map
.
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1.Introduction
Fig. 4. Hourly precipitation
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Fuente:
http://apolo.creg.gov.co/Publicac.nsf/1c09d18d2d5ffb5b05256eee00709c02/83b41035c2c
4474f05258243005a1191/$FILE/Creg030-2018.pdf
1.Introduction
Ley 1715 , Año 2014.
Resolución Creg030 de 2018
Decreto 348 de 2017 e x p r e s a q u e “ e l m e c a n i s m o d e l o s
e x c e d e n t e s d e a u t o g e n e r a c i ó n a p e q u e ñ a e s c a l a q u e u t i l i c e n
F N C E R , l o s e x c e d e n t e s q u e e n t r e g u e n a l a r e d d e d i s t r i b u c i ó n
s e r e c o n o c e r á n m e d i a n t e u n e s q u e m a d e m e d i c i ó n
b i d i r e c c i o n a l , c o m o c r é d i t o s d e e n e r g í a ” .
2 . R E N E W A BL E E N E R G Y
L A B O R A T O R Y
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M U N I C I P I O D E L M E D I O S A N J U A N – A N D A G O Y A
# d e h a b i t a n t e s
C a b e c e r a : 5 8 0 5
R u r a l : 9 7 8 2
T e m p e r a t u r a 2 8
0 C .
P r e c i p i t a c i ó n
a n u a l : > 8 0 0 0 m m
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P h o tov o lta ic
G e n e r a tor
B a t tery energy
s t o ra ge s y s t em
B i o m a s s p l a nt
W i n d T u r b i n e
W e a t h er
S t a t i o n
E n ergy s t orage i n
h y d rog en f u e l c e l l s
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3 . S y s t em D e s c ri pt i on
Fig. 5. Block diagram of the BIPV system, including the devices of the monitoring system.
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px?page=01a62d44-cc38-44b2-8351-
8f72a91b9289&plant=0df07738-7e1c-4d41-b5c2-
79aa870a945b&splang=es-ES
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S u n n y P o r t a l
4. RESULTS
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Fig. 6. Annual profile of the average daily DC Energy
and the PV Array Efficiency. Year 2017.
DC energy: 35016
kWh/year.
Average DC power: 2918
kWh/month.
PV array efficiency: 14 %
Minimum was 12 % in
April;
maximum was 15 % in
March, May, Oct and
December.
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Fig. 7. Annual profile of the average daily Solar
Irradiance and the Ambient Temperature on the PV
array. Year 2017.
Lowest solar radiation:
November, and December,
with up to 3.5 kWh/m2-day.
Augusto recorded the highest
radiation with 4.6 kWh/m2-
day.
Total annual average was 4.0
kWh/m2-day.
Temp. was between 23.78 °C
to 27.9 °C.
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Fig. 8. Annual profile of the average System
Efficiency and the AC Energy. Year 2017.
October with values above
14 % eff.
Feb, April, Jun, Aug and
Nov 10% eff.
The whole system average
efficiency was 11 %.
AC energy was 25745
kWh/year.
The average AC energy was
2145 kWh/month.
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Fig. 9. Annual profile of the average Inverter
Efficiency and the AC Voltage. Year 2017.
Monthly average inverter
Efficiency: 91% varying
between 86 % and 96%.
The voltage was always
maintained in 10% of the
nominal voltage of the
electrical grid: the lowest
recorded value was 208.33 V
in Dec while the highest was
220.9 V in Jan.
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Fig. 9. Annual profile of the average frequency. Year 2017.
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Fig. 10. Annual profile of the average Battery energy storage
system. Year 2017.
Average:
DC input energy B1: 4.7
kWh.
DC input energy B2: 8.3
kWh.
Temperature B1 and B2: 30
0C.
DC output energy B1: 3.8
kWh.
DC output energy B2: 7.7
kWh.
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Fig. 11. Annual profile of the average state of charge
(SOC) battery. Year 2017.
Average SOC 91 and 92 %.
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Front panel
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B l o c ks d i a gram
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Average voltage error: 0.33%, 0.59%
and 0.45% respectively.
Average SOC error : 0.57%
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S o l a r k i t 2 k W
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H y b r i d S y s t e m – P l a y a P o t e s
W i n d T u r b i n e
P h o t o v ol t ai c s y s te m
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S y s t em d e s c ri pt i on ( k i t
s o l a r)
Appropriation of the
knowledge social.
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Appropriation of the
knowledge social.
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Appropriation of the
knowledge social.
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Appropriation of the
knowledge social.
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International researchers - UK:
Imperial College London, University College London.
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Unión Wounaan
Noanamá
Playa potes
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Health care post
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“Las energías renovables, son una alternativa para mejorar
la calidad de vida, en aquellas ZNI de nuestro
departamento”

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