ABCDEFGHIJKLMNOPQRSTUVWXYZAAABACADAEAFAGAHAIAJAKAL
1
This sheet is collecting the module composition and other model data as used in other literature sources to approximate waste composition.
2
Wambach, Karsten, Kerstin Baumann, Matthias Seitz, Boris Mertvoy, and Birgit Reinelt. 2020. “Photovoltaic (PV) Recycling, Reusing, and Decommissioning: Current Landscape and Opportunities for Standardization.” Standards Research. bifa Umweltinstitut GmbH, CSA Group. https://www.csagroup.org/article/research/photovoltaic-pv-recycling-reusing-and-decommissioning/.Weckend, Stephanie, Andreas Wade, and Garvin A Heath. 2016. “End of Life Management: Solar Photovoltaic Panels.” NREL/TP-6A20-73852, 1561525. IRENA. https://doi.org/10.2172/1561525.
Heath, Garvin A., Timothy J. Silverman, Michael Kempe, Michael Deceglie, Dwarakanath Ravikumar, Timothy Remo, Hao Cui, et al. 2020. “Research and Development Priorities for Silicon Photovoltaic Module Recycling to Support a Circular Economy.” Nature Energy 5 (7): 502–10. https://doi.org/10.1038/s41560-020-0645-2.
S. Mahmoudi, N. Huda, and M. Behnia, “Photovoltaic waste assessment: Forecasting and screening of emerging waste in Australia,” Resources, Conservation and Recycling, vol. 146, pp. 192–205, Jul. 2019, doi: 10.1016/j.resconrec.2019.03.039.
A. Domínguez and R. Geyer, “Photovoltaic waste assessment in Mexico,” Resources, Conservation and Recycling, vol. 127, pp. 29–41, Dec. 2017, doi: 10.1016/j.resconrec.2017.08.013.
A. Domínguez and R. Geyer, “Photovoltaic waste assessment of major photovoltaic installations in the United States of America,” Renewable Energy, vol. 133, pp. 1188–1200, Apr. 2019, doi: 10.1016/j.renene.2018.08.063.
J. R. Peeters, D. Altamirano, W. Dewulf, and J. R. Duflou, “Forecasting the composition of emerging waste streams with sensitivity analysis: A case study for photovoltaic (PV) panels in Flanders,” Resources, Conservation and Recycling, vol. 120, pp. 14–26, May 2017, doi: 10.1016/j.resconrec.2017.01.001.
A. Paiano, “Photovoltaic waste assessment in Italy,” Renewable and Sustainable Energy Reviews, vol. 41, pp. 99–112, Jan. 2015, doi: 10.1016/j.rser.2014.07.208.
H. Kim and H. Park, “PV Waste Management at the Crossroads of Circular Economy and Energy Transition: The Case of South Korea,” Sustainability, vol. 10, no. 10, Art. no. 10, Oct. 2018, doi: 10.3390/su10103565.
J. D. Santos and M. C. Alonso-García, “Projection of the photovoltaic waste in Spain until 2050,” Journal of Cleaner Production, vol. 196, pp. 1613–1628, Sep. 2018, doi: 10.1016/j.jclepro.2018.05.252.
K. Sander et al., “Study on the development of a take back and recovery system for photovoltaic products,” Institut für Ökologie und Politik, Hamburg [u.a.], 2007. doi: 10.2314/GBV:59163323X.
3
CSA Group, 2020IRENA EoL 2016Heath 2020
Mahmoudi, Australia 2019
Dominguez & Geyer, Mexico 2017
Dominguez&Geyer, USA 2019Peeters, 2017Paiano 2015Kim and Park 2018Santos 2018Sander et al 2007
4
2014202020302000200520102014202020301990-205020032007
5
Module Composition (%)Glass76768065.465.465.4
8 manufacturers datasheets
74.1665.47664.4363636474.16
6
Aluminium88716.516.516.510.316.5820.3090909110.3
7
Silicon3530.7910.7910.7913.350.79154.0818181823.48
8
Copper1110.7310.7310.7310.570.73110.370.57
9
Silver<1%0.10.05770.05770.05770.0050.05770.10.140.005
10
Plastics10108?6.56.56.511.316.510
11
Steel9.519.519.519.51
12
Tin (Sn)0.120.12
13
Lead (pb)0.120.07
14
SUM98100.19199.489799.489799.489799.69599.4897100.189.5772727388.705
15
Marketshare of PV technology (%)c-Si929273.344.8Fig. 5909580928270.491Onlyonly
16
other silicon1020
17
CdTe755.24.7021755.24.750
18
CIGS25.26.4125.815.720
19
Other1116.344.2179.20
20
21
c-Si Module Properties (various)Average Module Efficiency
21 *grown 0.3% last decade
14.3333333314.3333333311-19
22
Average Module Power (W)270226.3333333226.3333333224215250215
23
mass of module average (kg)18.62323232218.6kg/kWpkg/kWp
24
Area of Module1.46 (EcoInvent 2009)0.5x1
0.7x1.4
0.55x1.2
0.8x1.2
0.8x1.6
0.7x1.5
1x1.5
1x1.65
1.48 m^2
25
mass/power factor
y = 5E+20e^(-0.021x) (ish)
76 (ton/MW)0.1030.10162002950.1026785714
3 factor functions, Fig.1.A, based on industry and lit data
0.1020.0744104.8809091102.3
26
mass/power factor [t/MW]103101.6200295102.678571410274.4
27
Weibull shape factor (early)2.49282.4928
3 scenarios with different failure rates and lifetimes, including bathtub curve
28
Weibull shape factor (regular)
5.37595.3759
29
30
31
18.6270 W
32
INPUTS PV_ICE
33
IRENA to PV ICE Inputs
34
Equation Mass Factor:
482667855953696000000*e(-0.0214646902984754*x)
Path A - Mass BasedPath B - Power Based
35
YearMass Factor Power [tonnes/MW] from fitModule Weight 2014 [kg]Module Power 2014 [W]CALC MASS FACTOR 2014 DATAModule POWERGlass Mass Glass Mass Module MASSGlass Mass Glass Mass
36
1970208.6004154
37
1971204.1705847
38
1972199.8348256
39
1973195.5911406
40
1974191.4375743
41
1975187.3722131
42
1976183.3931836
43
1977179.4986527
44
1978175.6868259
45
1979171.9559469
46
1980168.3042968
47
1981164.7301929
48
1982161.2319886
49
1983157.808072
50
1984154.4568656
51
1985151.1768252
52
1986147.9664397
53
1987144.8242298
54
1988141.7487478
55
1989138.7385766
56
1990135.7923293
57
1991132.9086484
58
1992130.0862052
59
1993127.3236993
60
1994124.6198579
61
1995121.973435218.6270152.49222077.6246110351413632.932827513.525028.9489
62
1996119.383211818.6270155.80080087.790040041413632.2334671913.524497.43506
63
1997116.847994318.6270159.18116627.959058311413631.5489584613.523977.20843
64
1998114.366614618.6270162.63487448.1317437211413630.8789859413.523468.02931
65
1999111.937929418.6270166.16351688.3081758381413630.2232409313.522969.6631
66
FOR VALIDATION LATER
1ton1000kg2000109.560819618.6270169.7687198.4884359521413629.5814212913.522481.88018
67
76ton1000000W76000kg2001107.234190118.6270173.45214248.6726071181413628.9532313213.522004.4558
68
270W20.52kg
efficiency
2002104.956968718.6270177.21548398.8607741931413628.3383815613.521537.16998
69
Glass15.59522003102.728106418.6270181.06047759.0530238761413627.7365887313.521079.80743
70
Aluminum1.64162004100.546576118.6270184.98889499.2494447451413627.1475755513.520632.15742
71
Silicon0.6156200598.4113727118.6270189.0025469.4501273011413626.5710706313.520194.01368
72
Copper0.2052200696.3215124118.6270193.10328029.6551640091413626.0068083513.519765.17435
73
Silver#VALUE!200794.2760323118.6270197.29298689.8646493411413625.4545287213.519345.44183
74
Plastics2.052200892.2739899518.6270201.573596310.078679811413624.9139772913.518934.62274
75
200990.3144628918.6270205.947080910.297354051413624.3849049813.518532.52779
76
68.88888889ton1000000W68888.88889kg201088.3965482818.6270210.415455810.520772791413623.8670680313.518138.97171
77
270W18.6kg201186.5193624218.6270214.980779810.749038991413623.3602278513.517753.77317
78
2014.... 2030?
2030201284.6820404218.6270219.645156310.982257811413622.8641509113.517376.75469
79
Power Per Module
Mass per Module
Glass Per Module
Glass per Meter Square
Efficiency
Area of Module
201382.8837357218.6270224.410734411.220536721413622.3786086413.517007.74257
80
1980170ton1000000W109.411764718.614.1367.0685.4705882352201481.1236197518.627068.8229.279709911.463985491413621.9033773313.516646.56677
81
1990145ton1000000W128.275862118.66.413793103201579.4008815418.6270234.254326111.712716311413621.4382380213.516293.06089
82
1995122ton1000000W152.459016418.67.62295082201677.7147273418.6270239.336875211.966843761413620.9829763813.515947.06205
83
#DIV/0!18.6#DIV/0!201776.0643802418.6270244.529698912.226484951413620.5373826713.515608.41083
84
#DIV/0!18.6#DIV/0!201874.4490798618.6270249.835189812.491759491413620.1012515613.515276.95119
85
#DIV/0!18.6#DIV/0!201972.8680819318.6270255.255792512.762789621413619.6743821213.514952.53041
86
#DIV/0!18.6#DIV/0!349471224.34900000202071.3206580218.6270260.794004413.039700221413619.2565776713.514634.99903
87
#DIV/0!18.6#DIV/0!349.4712243202169.8060951418.6270266.452377313.322618861413618.8476456913.514324.21072
88
205038ton1000000W489.473684218.624.47368421202268.3236954718.6270272.233518313.611675911413618.4473977813.514020.02231
89
202366.8727759818.6270278.14009113.907004551413618.0556495213.513722.29363
90
202465.4526681718.6270284.17481714.208740851413617.6722204113.513430.88751
91
202564.0627177118.6270290.340476714.517023841413617.2969337813.513145.66967
92
202662.7022841918.6270296.63991114.831995551488016.9296167313.513543.69339
93
202761.3707407918.6270303.076022215.153801111488016.5701000113.512593.27601
94
202860.0674739918.6270309.65177615.48258881488016.2182179813.512325.84566
95
202958.7918833218.6270316.37020215.81851011488015.873808513.512064.09446
96
523644767.59100000203057.5433810418.6270323.234395716.161719791488015.5367128813.511807.90179
97
203156.3213919218.6270330.247519916.5123761488015.2067758213.511557.14962
98
203255.1253529118.6270337.412805916.870640291488014.8838452813.511311.72242
99
203353.9547129418.6270344.73355517.236677751488014.5677724913.511071.50709
100
203452.8089326318.6270352.213140317.610657021488014.2584118113.510836.39298