In Serbia, for heating of domestic hot water (DHW) it is customary to use electricity. As around 70% of electricity is produced by using low quality coal with high greenhouse emission, it is beneficial to environment to use solar energy by flat-plate solar collectors for heating of DHW in a solar DHW system (SDHWS). The SDHWS with variable tilt flat-plate solar collectors placed in north-south direction at roofs of houses are investigated for their optimal operation in Belgrade, Serbia. The investigated variable-tilt collectors annually take 2 tilts, 4 tilts, and 12 tilts. The used weather data are from the meteorological station. These investigations use three computer codes: EnergyPlus, GenOpt, and Hooke-Jeeves search algorithm. For different solar collectors, the investigations revile their optimum tilts that maximize the solar fraction by the SDHWS. Then, the solar fraction and avoided fossil energy by the SDHWS are maximized. In addition, the deficit in the solar fraction is estimated when the solar collectors are not at their optimum tilt.

1.
X. Q.
Zhai
and
R. Z.
Wang
, “
Experiences on solar heating and cooling in China
,”
Renewable Sustainable Energy Rev.
12
,
1110
1128
(
2008
).
2.
H.
Gunerhan
and
A.
Hepbasli
, “
Determination of the optimum tilt angle of solar collectors for building applications
,”
Build. Environ.
42
,
779
783
(
2007
).
3.
N.
Nijegorodov
and
P. K.
Jain
, “
Optimum slope of a north-south aligned absorber plate from the north to the south poles
,”
Renewable Energy
11
(
i
),
107
118
(
1997
).
4.
D.
Ibrahim
, “
Optimum tilt angle for solar collectors used in Cyprus
,”
Renewable Energy
6
(
7
),
813
819
(
1995
).
5.
L. E.
Hartley
,
J. A.
Martinez-Lozano
,
M. P.
Utrillas
,
F.
Tena
, and
R.
Pedros
, “
The optimisation of the angle of inclination of a solar collector to maximise the incident solar radiation
,”
Renewable Energy
17
,
291
309
(
1999
).
6.
R.
Tang
and
T.
Wu
, “
Optimal tilt-angles for solar collectors used in China
,”
Appl. Energy
79
,
239
248
(
2004
).
7.
M. A. H. M.
Yakup
and
A. Q.
Malik
, “
Optimum tilt angle and orientation for solar collector in Brunei Darussalam
,”
Renewable Energy
24
,
223
234
(
2001
).
8.
K.
Skeiker
, “
Optimum tilt angle and orientation for solar collectors in Syria
,”
Energy Convers. Manage.
50
,
2439
2448
(
2009
).
9.
T. P.
Chang
, “
The Sun's apparent position and the optimal tilt angle of a solar collector in the northern hemisphere
,”
Sol. Energy
83
,
1274
1284
(
2009
).
10.
A.
Shariah
,
M. A.
Al-Akhras
, and
I. A.
Al-Omari
, “
Optimizing the tilt angle of solar collectors
,”
Renewable Energy
26
,
587
598
(
2002
).
11.
I. M.
Michaelides
,
S. A.
Kalogirou
,
I.
Chrysis
,
G.
Roditis
,
A.
Hadjiyianni
,
H. D.
Kambezidis
,
M.
Petrakis
,
S.
Lykoudis
, and
A. D.
Adamopoulos
, “
Comparison of performance and cost effectiveness of solar water heaters at different collector tracking modes in Cyprus and Greece
,”
Energy Convers. Manage.
40
(
12
),
1287
1303
(
1999
).
12.
D. B.
Crawley
,
L. K.
Lawrie
,
F. C.
Winkelmann
,
W. F.
Buhl
,
Y. J.
Huang
,
C. O.
Pedersen
,
R. K.
Strand
,
R. J.
Liesen
,
D. E.
Fisher
,
M. J.
Witte
, and
J.
Glazer
, “
EnergyPlus: Creating a new-generation building energy simulation program
,”
Energy Build.
33
(
4
),
319
331
(
2001
).
13.
ENERGYPLUS, “Input output reference - The encyclopedic reference to EnergyPlus input and output,” University of Illinois & Ernest Orlando Lawrence Berkeley National Laboratory,
2009
.
14.
R. H.
Henninger
,
M. J.
Witte
, and
D. B.
Crawley
, “
Analytical and comparative testing of EnergyPlus using IEA HVAC BESTEST E100-E200 test suite
,”
Energy Build.
36
(
8
),
855
863
(
2004
).
15.
M.
Wetter
, “
GenOpt, Generic Optimization Program. User Manual
,” Lawrence Berkeley National Laboratory, Technical Report LBNL-54199,
2004
, p.
109
.
16.
M.
Wetter
, “
Simulation-based building energy optimization
,” Ph.D. dissertation (
University of California, Berkeley
,
2004
).
17.
C.
Audet
and
J. E.
Dennis
, Jr.
, “
Analysis of generalized pattern searches
,”
SIAM J. Opt.
13
(
3
),
889
903
(
2003
).
18.
M.
Wetter
and
E.
Polak
, “
Building design optimization using a convergent pattern search algorithm with adaptive precision simulations
,”
Energy Build.
37
,
603
612
(
2005
).
19.
R.
Hooke
and
T. A.
Jeeves
, “
Direct search solution of numerical and statistical problems
,”
J. Assoc. Comput. Mach.
8
,
212
229
(
1961
).
20.
Energy Efficiency & Renewable Energy, Weather Data, All Regions: Europe WMO Region 6: Serbia, US Department of Energy, http://http://apps1.eere.energy.gov/buildings/energyplus/cfm/weather_data3.cfm/region=6_europe_wmo_region_6/country=SRB/cname=Serbia#instructions, retrieved 4/15/2013.
21.
Report for year 2009 (in Serbian), Electric power industry of Serbia (EPS), Belgrade,
2010
, http://www.eps.rs, retrieved 6/17/2011.
22.
R.
Hendron
,
R.
Anderson
,
C.
Christensen
,
M.
Eastment
, and
P.
Reeves
, “
Development of an energy savings benchmark for all residential end-uses
,” in
Proceedings of SimBuild 2004, IBPSA-USA National Conference
, Boulder, CO, August 4–6
2004
.
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