CN104318013A - Method for computing optimal inclination angles of distributed photovoltaic systems of roofs - Google Patents

Method for computing optimal inclination angles of distributed photovoltaic systems of roofs Download PDF

Info

Publication number
CN104318013A
CN104318013A CN201410564559.7A CN201410564559A CN104318013A CN 104318013 A CN104318013 A CN 104318013A CN 201410564559 A CN201410564559 A CN 201410564559A CN 104318013 A CN104318013 A CN 104318013A
Authority
CN
China
Prior art keywords
alpha
cos
photovoltaic module
incidence
max
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201410564559.7A
Other languages
Chinese (zh)
Other versions
CN104318013B (en
Inventor
陈嘉汝
张臻
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Changzhou Campus of Hohai University
Trina Solar Co Ltd
Original Assignee
Changzhou Campus of Hohai University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Changzhou Campus of Hohai University filed Critical Changzhou Campus of Hohai University
Priority to CN201410564559.7A priority Critical patent/CN104318013B/en
Publication of CN104318013A publication Critical patent/CN104318013A/en
Application granted granted Critical
Publication of CN104318013B publication Critical patent/CN104318013B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The invention discloses a method for computing the optimal inclination angles of distributed photovoltaic systems of roofs. The optimal inclination angles include the optimal inclination angles of single rows of photovoltaic assemblies and the optimal inclination angles of a plurality of rows of photovoltaic assemblies. The method has the advantages that the optimal inclination angles of the distributed photovoltaic systems of the roofs can be designed by the aid of the method under the condition that various factors are considered; the optimal inclination angles of the single rows of photovoltaic assemblies and the optimal inclination angles of the multiple rows of photovoltaic assemblies are computed under the condition that the minimum unit kilowatt-hour output electric costs of the photovoltaic systems are guaranteed, and the photovoltaic systems can be mounted at the optimal inclination angles according to actual conditions, so that the power generation efficiency of the photovoltaic systems can be improved.

Description

The optimum angle of incidence computing method of a kind of roof distributed photovoltaic system
Technical field
The present invention relates to the optimum angle of incidence computing method of a kind of roof distributed photovoltaic system, belong to photovoltaic system applied technical field.
Background technology
Constantly destroyed along with the nowadays development of traditional energy industry in recent years arrives bottleneck and the ecosystem, the mankind are more and more urgent for the demand of clean regenerative resource, and therefore, solar photovoltaic industry obtains significant development.Can become the main force of future source of energy industry for photovoltaic industry, its generating efficiency be deciding factor.
For the generating efficiency of photovoltaic system, its mounted angle can be described as very important influence factor.Therefore the method for designing of the optimum angle of incidence of photovoltaic system is concerned to the development trend in photovoltaic industry future.
Summary of the invention
For solving the deficiencies in the prior art, the object of the present invention is to provide a kind of effectively rapidly to the method that the optimum angle of incidence of roof distributed photovoltaic system calculates.
In order to realize above-mentioned target, the present invention adopts following technical scheme:
The optimum angle of incidence computing method of a kind of roof distributed photovoltaic system, comprise the optimum angle of incidence of single photovoltaic module and the optimum angle of incidence of plural number row photovoltaic module, it is characterized in that: the optimum angle of incidence of described plural number row photovoltaic module, its computing formula distributes as follows according to the ratio that blocks of front-seat photovoltaic module to rear row's photovoltaic module:
Blocking ratio is y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × η α ;
Blocking ratio is y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos ( 1 - x ) × Q max × ( 1 . 0825 - 0.825 x × s ) × η α ;
Blocking ratio is y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.64 × η α ;
Blocking ratio is
y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.64 × [ 0.717 - 0.775 × ( x - 1 3 ) × s ] × η α ;
Blocking ratio is y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.33 × η α ;
Blocking ratio is
y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.33 × [ 0.4125 - 0.825 × ( x - 2 3 ) × s ] × η α ;
Block ratio now do not generate electricity, do not do to consider;
Wherein, parameter meaning is as follows: the rent on roof is m, and roof is long is a, and wide is b; Single photovoltaic panel area is long is k, and wide is t; Single photovoltaic module cost is n, single photovoltaic module be in optimum angle of incidence and shadow-free blocks time annual generated energy be Q max; The inclination angle of photovoltaic arrays is α, and the block ratio of front-seat photovoltaic module to rear row's photovoltaic module is x; Photovoltaic module battery row is s; The cost of every kilowatt hour generated energy is y; η αfor the generated energy Q under unobstructed different angle and the generated energy Q under unobstructed optimum angle of incidence maxbetween ratio;
The by-pass diode of each described photovoltaic module is provided with 3; The described roof side of being flat-top; In described assembly, every block battery is all be in perfect condition.
The optimum angle of incidence computing method of aforesaid a kind of roof distributed photovoltaic system, is characterized in that: the optimum angle of incidence of described single photovoltaic module, adopt " solar radiation calculation procedure " to calculate optimum angle of incidence.
The beneficial effect that the present invention reaches: the present invention is when considering many factors, the optimum angle of incidence method for designing of a kind of roof distributed photovoltaic system of proposition; Output energy cost is minimum when ensureing photovoltaic system per kilowatt, the optimum angle of incidence of single plural number row photovoltaic module being calculated, the inclination angle of the best can be installed according to actual conditions, improve the generating efficiency of photovoltaic system.
Accompanying drawing explanation
Fig. 1 is that single battery shade blocks number percent and affects statistical form to power;
Fig. 2 is η αwith the function relation figure at inclination angle;
The cross section structure schematic diagram on roof, library, Tu3Shi Hohai University, Changzhou.
Embodiment
Below in conjunction with accompanying drawing, the invention will be further described.Following examples only for technical scheme of the present invention is clearly described, and can not limit the scope of the invention with this.
For the generating efficiency of photovoltaic system, its mounted angle can be described as very important influence factor.Therefore the method for designing of the optimum angle of incidence of photovoltaic system is concerned to the development trend in photovoltaic industry future.
Now design the optimum angle of incidence computing method of a kind of roof distributed photovoltaic system, comprise the optimum angle of incidence of single photovoltaic module and the optimum angle of incidence of plural number row photovoltaic module.
The optimum angle of incidence of plural number row photovoltaic module, its computing formula distributes as follows according to the ratio that blocks of front-seat photovoltaic module to rear row's photovoltaic module:
Blocking ratio is y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × η α ;
Blocking ratio is y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos ( 1 - x ) × Q max × ( 1 . 0825 - 0.825 x × s ) × η α ;
Blocking ratio is y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.64 × η α ;
Blocking ratio is
y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.64 × [ 0.717 - 0.775 × ( x - 1 3 ) × s ] × η α ;
Blocking ratio is y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.33 × η α ;
Blocking ratio is
y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.33 × [ 0.4125 - 0.825 × ( x - 2 3 ) × s ] × η α ;
Block ratio now do not generate electricity, do not do to consider;
Wherein, parameter meaning is as follows: the rent on roof is m, and roof is long is a, and wide is b; Single photovoltaic panel area is long is k, and wide is t; Single photovoltaic module cost is n, single photovoltaic module be in optimum angle of incidence and shadow-free blocks time annual generated energy be Q max; The inclination angle of photovoltaic arrays is α, and the block ratio of front-seat photovoltaic module to rear row's photovoltaic module is x; Photovoltaic module battery row is s; The cost of every kilowatt hour generated energy is y; η αfor the generated energy Q under unobstructed different angle and the generated energy Q under unobstructed optimum angle of incidence maxbetween ratio;
The by-pass diode of each photovoltaic module is provided with 3, and in assembly, every block battery is all be in perfect condition.The roof side of being flat-top.
The optimum angle of incidence of single photovoltaic module, adopts " solar radiation calculation procedure " to calculate optimum angle of incidence.Shanghai University Of Electric Power's software adopts C language to work out by Shanghai University Of Electric Power, is suitable as photovoltaic generating system designing and calculating aid.
Be described below in conjunction with two embodiments:
Represent Shanghai for Yangtze River Delta Area, single photovoltaic module optimum angle of incidence sees the following form, and gets 22 °;
Following table is the single photovoltaic module optimum angle of incidence statistical form of District of Shanghai:
η αsee Fig. 2, and approximate meet function η α=-8.65 × 10 -5× (α-22) 2+ 1;
Therefore, for the optimum angle of incidence of plural number row photovoltaic module, the cost y of every kilowatt hour generated energy can be listed and block the relational expression of ratio x and inclination alpha:
Block ratio y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × [ ( - 8.65 × 1 0 - 5 ) × ( α - 22 ) 2 + 1 ] ;
Block ratio
y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × ( 1.0825 - 0.825 x × s ) × [ ( - 8.65 × 1 0 - 5 ) × ( α - 22 ) 2 + 1 ] ;
Block ratio y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.64 × [ ( - 8.65 × 1 0 - 5 ) × ( α - 22 ) 2 + 1 ] ;
Block ratio
y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.64 × [ 0.7175 - 0.775 × ( x - 1 3 ) × s ] × [ ( - 8.65 × 1 0 - 5 ) × ( α - 22 ) 2 + 1 ] ;
Block ratio
y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.33 × [ ( - 8.65 × 1 0 - 5 ) × ( α - 22 ) 2 + 1 ] ;
Block ratio
y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.33 [ 0.4125 - 0.825 × ( x - 2 3 ) × s ] × [ ( - 8.65 × 1 0 - 5 ) ( α - 22 ) 2 + 1 ] .
We select this roof of Fig. 3 as case, and Fig. 3 is roof, Hohai University, Changzhou library, can completion roof, and making long is 13400mm, and wide is 45850mm.
We select Trina Solar TSM-250P05A photovoltaic module as calculating sample, and power is 250W.The wide 992mm of the long 1650mm of this photovoltaic module, cell number is 6 × 9 pieces.Price is 1075 yuan, support price 200 yuan.Suppose that roof rent is 300 yuan of/square metre of years.
Therefore, when computing time is 20 years:
Blocking ratio is y = 3678000 × ( 1 - x ) + 278842.5 × cos α 3193020 × cos α × [ - 8.65 × 1 0 - 5 × ( α - 22 ) 2 + 1 ] ;
Get the then cost minimization y when α=8 ° as can be seen from Table 1 min=1.258956385 yuan/kilowatt hour.
Inclination alpha/° Often spend electric cost/unit Inclination alpha/° Often spend electric cost/unit
0 1.280006305 45 1.779679031
1 1.2752369 46 1.817675346
2 1.271091657 47 1.857999028
3 1.26756232 48 1.900818732
4 1.264641955 49 1.946320423
5 1.262324925 50 1.994709568
6 1.260606859 51 2.046213659
7 1.259484639 52 2.101085141
8 1.258956385 53 2.159604821
9 1.259021451 54 2.22208585
10 1.259680421 55 2.288878385
11 1.260935116 56 2.360375092
12 1.262788603 57 2.437017646
13 1.265245216 58 2.519304458
14 1.26831057 59 2.607799909
15 1.271991599 60 2.703145439
16 1.276296584 61 2.806072935
17 1.2812352 62 2.917421009
18 1.286818561 63 3.038154894
19 1.29305928 64 3.169390954
20 1.299971532 65 3.312427095
21 1.307571131 66 3.46878079
22 1.315875606 67 3.640237054
23 1.324904303 68 3.828909523
24 1.334678484 69 4.037319018
25 1.345221445 70 4.268495717
26 1.356558647 71 4.526113619
27 1.36871786 72 4.814669902
28 1.381729325 73 5.13972762
29 1.395625934 74 5.508249492
30 1.410443425 75 5.929065296
31 1.426220611 76 6.413539663
32 1.442999619 77 6.976548218
33 1.460826169 78 7.637941943
34 1.47974988 79 8.424810468
35 1.499824607 80 9.37510358
36 1.521108828 81 10.54366738
37 1.543666064 82 12.01280791
38 1.567565362 83 13.91190993
39 1.592881825 84 16.45667498
40 1.619697216 85 20.03544633
41 1.648100634 86 25.42502246
42 1.678189279 87 34.43809992
43 1.710069314 88 52.5130484
44 1.743856846 89 106.842345
Table 1 blocks ratio time, system inclination angle with often spend electric cost relation table
Blocking ratio is y = 3678000 × ( 1 - x ) + 278842.5 × cos α 3193020 × cos α × ( 1.0825 - 7.425 x ) × [ - 8.65 × 1 0 - 5 × ( α - 22 ) 2 + 1 ] ;
y x = 2070405.56 × cos α + 2327715 3193020 × cos α × [ - 8.65 × 1 0 - 5 × ( α - 22 ) 2 + 1 ] × ( 1.0825 - 7.425 x ) 2 ;
Visible, when x increases, y increases, so should get therefore, its result should be identical with table 1, the cost minimization y when α=8 ° min=1.258956385 yuan/kilowatt hour.
Blocking ratio is y = 3678000 × ( 1 - x ) + 278842.5 × cos α 2043520 × cos α × [ - 8.65 × 1 0 - 5 × ( α - 22 ) 2 + 1 ] ;
Get then as can be seen from Table 2, when α=9 °, y min=1.3507984 yuan/kilowatt hour.
Inclination alpha/° Often spend electric cost/unit Inclination alpha/° Often spend electric cost/unit
0 1.373862371 45 1.891629738
1 1.368736486 46 1.931193358
2 1.364267087 47 1.973178377
3 1.360445418 48 2.017759755
4 1.35726411 49 2.0651304
5 1.354717142 50 2.115503437
6 1.352799825 51 2.169114823
7 1.351508773 52 2.226226384
8 1.350841899 53 2.287129346
9 1.3507984 54 2.352148455
10 1.351378762 55 2.421646819
11 1.35258476 56 2.496031599
12 1.354419471 57 2.575760746
13 1.356887291 58 2.661351011
14 1.359993958 59 2.75338751
15 1.363746579 60 2.852535208
16 1.36815367 61 2.959552793
17 1.373225196 62 3.075309537
18 1.378972624 63 3.200805911
19 1.385408982 64 3.337198975
20 1.392548924 65 3.485833876
21 1.400408807 66 3.648283249
22 1.409006779 67 3.826396902
23 1.418362873 68 4.022365099
24 1.428499116 69 4.238799937
25 1.439439653 70 4.478841179
26 1.451210876 71 4.746295553
27 1.46384158 72 5.045822526
28 1.477363126 73 5.383185714
29 1.49180963 74 5.765598631
30 1.507218167 75 6.202208828
31 1.523629001 76 6.704789628
32 1.541085841 77 7.28875124
33 1.559636129 78 7.974657586
34 1.579331348 79 8.790570683
35 1.600227388 80 9.775801894
36 1.622384928 81 10.98716431
37 1.645869887 82 12.50991484
38 1.670753916 83 14.47807569
39 1.697114951 84 17.11507811
40 1.725037837 85 20.82317953
41 1.75461503 86 26.4070078
42 1.785947389 87 35.74419618
43 1.819145071 88 54.467927
44 1.854328544 89 110.7447463
Table 2 blocks ratio time, system inclination angle with often spend electric cost relation table
Blocking ratio is y = 3678000 × ( 1 - x ) + 278842.5 × cos α 2043520 × cos α × ( 3.0425 - 6.975 x ) × [ - 8.65 × 1 0 - 5 × ( α - 22 ) 2 + 1 ] ;
y x = 1944926.44 × cos α + 14463735 2043520 × cos α × [ - 8.65 × 1 0 - 5 × ( α - 22 ) 2 + 1 ] × ( 3 . 0425 - 6.975 x ) 2 ;
Visible, when x increases, y increases, so should get its result should be identical with table 2, when α=9 °, and y min=1.3507984 yuan/kilowatt hour.
Blocking ratio is y = 3678000 × ( 1 - x ) + 278842.5 × cos α 1053696.6 × cos α × [ - 8.65 × 1 0 - 5 × ( α - 22 ) 2 + 1 ] ;
Get then as can be seen from Table 3, when α=9 °, y min=1.424211125 yuan/kilowatt hour.
Inclination alpha/° Often spend electric cost/unit Inclination alpha/° Often spend electric cost/unit
0 1.45008035 45 1.944217782
1 1.444650994 46 1.98253536
2 1.439876594 47 2.023192348
3 1.435748208 48 2.066356295
4 1.432258253 49 2.112211914
5 1.429400472 50 2.16096324
6 1.427169911 51 2.21283613
7 1.425562895 52 2.268081157
8 1.424577015 53 2.326976982
9 1.424211125 54 2.389834287
10 1.424465333 55 2.457000388
11 1.425341008 56 2.528864673
12 1.426840789 57 2.605865022
13 1.428968601 58 2.688495453
14 1.431729674 59 2.77731524
15 1.435130571 60 2.872959869
16 1.439179223 61 2.976154275
17 1.443884972 62 3.087728914
18 1.449258613 63 3.208639424
19 1.455312454 64 3.339990841
20 1.46206038 65 3.483067634
21 1.469517924 66 3.639371267
22 1.477702347 67 3.810667583
23 1.486632735 68 3.999047135
24 1.496330097 69 4.207002775
25 1.506817485 70 4.437530555
26 1.518120119 71 4.69426253
27 1.530265533 72 4.981643869
28 1.543283732 73 5.305172531
29 1.557207371 74 5.671728877
30 1.572071952 75 6.090037203
31 1.587916043 76 6.571325168
32 1.604781523 77 7.130287671
33 1.622713852 78 7.786532819
34 1.641762377 79 8.566816753
35 1.661980665 80 9.508619595
36 1.683426885 81 10.66610562
37 1.706164229 82 12.12055389
38 1.73026138 83 13.99972994
39 1.755793048 84 16.51662965
40 1.78284056 85 20.05471674
41 1.811492536 86 25.38101761
42 1.841845637 87 34.28540791
43 1.87400543 88 52.137762
44 1.908087344 89 105.7880071
Table 3 blocks ratio time, system inclination angle with often spend electric cost relation table
Blocking ratio is y = 3678000 × ( 1 - x ) + 278842.5 × cos α 1053696.6 × cos α × ( 5.3625 - 7.425 x ) × [ - 8.65 × 1 0 - 5 × ( α - 22 ) 2 + 1 ] ;
y x = 2070405.56 . 56 × cos α + 7585875 1053696.6 × cos α × [ - 8.65 × 1 0 - 5 × ( α - 22 ) 2 + 1 ] × ( 5 . 3625 - 7.425 x ) 2
Visible, when x increases, y increases, so should get its result should be identical with table 3, when α=9 °, and y min=1.424211125 yuan/kilowatt hour.
In sum, be 8 ° when getting inclination angle, and make to block ratio and be time often spend electricity cost minimum, now the spacing of front and rear row photovoltaic module is 1.71m.
The present invention is when considering many factors, the optimum angle of incidence method for designing of a kind of roof distributed photovoltaic system of proposition; Output energy cost is minimum when ensureing photovoltaic system per kilowatt, the optimum angle of incidence of single plural number row photovoltaic module being calculated, the inclination angle of the best can be installed according to actual conditions, improve the generating efficiency of photovoltaic system.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the prerequisite not departing from the technology of the present invention principle; can also make some improvement and distortion, these improve and distortion also should be considered as protection scope of the present invention.

Claims (2)

1. the optimum angle of incidence computing method of a roof distributed photovoltaic system, comprise the optimum angle of incidence of single photovoltaic module and the optimum angle of incidence of plural number row photovoltaic module, it is characterized in that: the optimum angle of incidence of described plural number row photovoltaic module, its computing formula distributes as follows according to the ratio that blocks of front-seat photovoltaic module to rear row's photovoltaic module:
Blocking ratio is y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × η α ;
Blocking ratio is y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × ( 1.0825 - 0.825 x × s ) × η α ;
Blocking ratio is y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.64 × η α ;
Blocking ratio is
y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.64 × [ 0.7175 - 0.775 × ( x - 1 3 ) × s ] × η α ;
Blocking ratio is y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.33 × η α ;
Blocking ratio is
y = m + b t × a k cos α ( 1 - x ) × n b t × a k cos α ( 1 - x ) × Q max × 0.33 [ 0.4125 - 0.825 × ( x - 2 3 ) × s ] × η α ;
Block ratio now do not generate electricity, do not do to consider;
Wherein, parameter meaning is as follows: the rent on roof is m, and roof is long is a, and wide is b; Single photovoltaic panel area is long is k, and wide is t; Single photovoltaic module cost is n, single photovoltaic module be in optimum angle of incidence and shadow-free blocks time annual generated energy be Q max; The inclination angle of photovoltaic arrays is α, and the block ratio of front-seat photovoltaic module to rear row's photovoltaic module is x; Photovoltaic module battery row is s; The cost of every kilowatt hour generated energy is y; η αfor the generated energy Q under unobstructed different angle and the generated energy Q under unobstructed optimum angle of incidence maxbetween ratio;
The by-pass diode of each described photovoltaic module is provided with 3; The described roof side of being flat-top; In described assembly, every block battery is all be in perfect condition.
2. the optimum angle of incidence computing method of a kind of roof according to claim 1 distributed photovoltaic system, is characterized in that: the optimum angle of incidence of described single photovoltaic module, adopt " solar radiation calculation procedure " to calculate optimum angle of incidence.
CN201410564559.7A 2014-10-21 2014-10-21 A kind of optimum angle of incidence computational methods of roof distributed photovoltaic system Active CN104318013B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410564559.7A CN104318013B (en) 2014-10-21 2014-10-21 A kind of optimum angle of incidence computational methods of roof distributed photovoltaic system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410564559.7A CN104318013B (en) 2014-10-21 2014-10-21 A kind of optimum angle of incidence computational methods of roof distributed photovoltaic system

Publications (2)

Publication Number Publication Date
CN104318013A true CN104318013A (en) 2015-01-28
CN104318013B CN104318013B (en) 2017-07-21

Family

ID=52373244

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410564559.7A Active CN104318013B (en) 2014-10-21 2014-10-21 A kind of optimum angle of incidence computational methods of roof distributed photovoltaic system

Country Status (1)

Country Link
CN (1) CN104318013B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110690854A (en) * 2019-11-18 2020-01-14 合肥阳光新能源科技有限公司 Photovoltaic module layout method and device

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102594211A (en) * 2012-01-19 2012-07-18 北京工商大学 Optimizing method and tracking device for output power of partially shielded photovoltaic power generation system
CN103020766A (en) * 2012-12-10 2013-04-03 上海电力设计院有限公司 Photovoltaic power generation planning method for photovoltaic power generation system
CN103576036A (en) * 2013-11-22 2014-02-12 海南天能电力有限公司 Comprehensive quality evaluation technology for grid-connected photovoltaic (PV) power generation system
CN103823927A (en) * 2014-02-12 2014-05-28 西安建筑科技大学 Array-type configuration method for tracking-type photovoltaic devices

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102594211A (en) * 2012-01-19 2012-07-18 北京工商大学 Optimizing method and tracking device for output power of partially shielded photovoltaic power generation system
CN103020766A (en) * 2012-12-10 2013-04-03 上海电力设计院有限公司 Photovoltaic power generation planning method for photovoltaic power generation system
CN103576036A (en) * 2013-11-22 2014-02-12 海南天能电力有限公司 Comprehensive quality evaluation technology for grid-connected photovoltaic (PV) power generation system
CN103823927A (en) * 2014-02-12 2014-05-28 西安建筑科技大学 Array-type configuration method for tracking-type photovoltaic devices

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
姜猛等: "功率优化器对太阳能组件发电性能的研究", 《太阳能学报》 *
李芬等: "并网光伏系统性能精细化评估方法研究", 《太阳能学报》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110690854A (en) * 2019-11-18 2020-01-14 合肥阳光新能源科技有限公司 Photovoltaic module layout method and device

Also Published As

Publication number Publication date
CN104318013B (en) 2017-07-21

Similar Documents

Publication Publication Date Title
Emziane et al. Performance assessment of rooftop PV systems in Abu Dhabi
Ceran et al. An analysis of hybrid power generation systems for a residential load
CN104361406B (en) A kind of photovoltaic plant can utilize solar power generation amount Forecasting Methodology
Madhlopa et al. Optimization of a PV–wind hybrid system under limited water resources
CN204578424U (en) A kind of high-efficiency solar-powered photovoltaic Blast Furnace Top Gas Recovery Turbine Unit (TRT)
Shezan et al. Techno-economic analysis of a hybrid PV-wind-diesel energy system for sustainable development at coastal areas in Bangladesh
CN204334458U (en) A kind of efficient light harvesting Dual-side generating appts
Begovic et al. Distributed renewable PV generation in urban distribution networks
Jiang et al. Performance analysis of a photovoltaics aided coal-fired power plant
CN104318013A (en) Method for computing optimal inclination angles of distributed photovoltaic systems of roofs
CN203617953U (en) Double-sided photovoltaic power generation device capable of collecting light with large reflecting surface
Altas et al. Solar energy and PV systems
CN110113003B (en) Method for calculating back irradiation unevenness of double-sided photovoltaic module
Awan Comparative analysis of 100 MW concentrated solar power plant and photovoltaic plant
CN203691345U (en) Photovoltaic power generation system solar cell module water cooling apparatus
CN106301186A (en) High-efficiency solar electricity generation system
CN106026111A (en) New energy penetration rate assessment method based on probability power flow calculation
Chen et al. Numerical analysis on the performance of high concentration photovoltaic systems under the nonuniform energy flow density
Gharibshahian et al. The Design and Evaluation of a 100 kW Grid Connected Solar Photovoltaic Power Plant in Semnan City
CN210467856U (en) Solar cell for non-shielding component packaging technology
Farhangi Khanghah et al. The Design Pattern of Optimal Combined Envelope in Generating Solar Electricity Using Genetic Algorithm in Iran's Cold Climate
Chowdhury et al. Exploratory study of PV industry, 1990–2008: Lesson from Japan and Germany
CN203896291U (en) Concentrating solar power generation light-guide funnel
CN202871821U (en) Novel solar cell silicon wafer capable of reducing waste
CN203896287U (en) Concentrating solar power light-guide funnel

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C41 Transfer of patent application or patent right or utility model
TA01 Transfer of patent application right

Effective date of registration: 20160215

Address after: 210022 Changzhou Jin Ling North Road, Jiangsu, No. 200

Applicant after: CHANGZHOU CAMPUS OF HOHAI University

Applicant after: CHANGZHOU TRINA SOLAR ENERGY Co.,Ltd.

Address before: 210022 Changzhou Jin Ling North Road, Jiangsu, No. 200

Applicant before: CHANGZHOU CAMPUS OF HOHAI University

GR01 Patent grant
CP01 Change in the name or title of a patent holder

Address after: 210022 Changzhou Jin Ling North Road, Jiangsu, No. 200

Co-patentee after: TRINA SOLAR Co.,Ltd.

Patentee after: CHANGZHOU CAMPUS OF HOHAI University

Address before: 210022 Changzhou Jin Ling North Road, Jiangsu, No. 200

Co-patentee before: trina solar Ltd.

Patentee before: CHANGZHOU CAMPUS OF HOHAI University

Address after: 210022 Changzhou Jin Ling North Road, Jiangsu, No. 200

Co-patentee after: trina solar Ltd.

Patentee after: CHANGZHOU CAMPUS OF HOHAI University

Address before: 210022 Changzhou Jin Ling North Road, Jiangsu, No. 200

Co-patentee before: CHANGZHOU TRINA SOLAR ENERGY Co.,Ltd.

Patentee before: CHANGZHOU CAMPUS OF HOHAI University

CP01 Change in the name or title of a patent holder