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Chapter 22 • Life Cycle Analysis of Photovoltaics: Strategic Technology Assessment  441



                 Table 22.3  The Primary Energy Consumption of the BOS Components for Two Types
                 of PV Systems, and the EPBT and EROI on a System Level
                                                 Rooftop                  Grount-Mount PV Plant
                 Module                  1         2        3        1        2         3
                 Structure, cabling/     225       225      225      645      645       645
                 MJ m −2
                 Inverter/MJ m −2        704       675      614      254      243       222
                 Total/MJ m −2           929       900      839      899      888       867
                 EPBT/yr                 0.9       0.7      0.7      0.8      0.7       0.7
                 EROI (E out /E in )     13        15       15       14       16        16

                 Source: Data are from [2].

                 over 30 yr by 2025 compared to 15 yr now) and low-cost support structures, cabling and
                 electrical connections. As Table 22.3 shows the inverter accounts for a considerable share
                 of the CEd of rooftop systems, and even a modest increase in the inverter lifetime would
                 therefore significantly decrease the system EPBT. The inverter is less important in the case
                 of large-scale PV plants, where the support structure dominates the CEd.
                   Table 22.3 also shows the system EROI values of crystalline silicon PV in 2020 with old
                 BOS data.

                 22.8  Conclusion

                 In this chapter, we summarized life-cycle impacts from (1) current vintage of commercial
                 PV technologies and (2) future c-Si modules via a prospective LCA of crystalline silicon
                 PV technologies expected to materialize on or about the year 2020. To do so, we devel-
                 oped three technological scenarios (two based on monocrystalline silicon and one based
                 on quasi-monocrystalline silicon), building on various existing roadmaps. To summarize,
                 increasing the cell efficiency is (after scaling up) the most important lever to reduce en-
                 ergy demand and costs. By using high quality passivation and BJ higher efficiencies can be
                 achieved while simultaneously reducing the wafer thickness, which reduces the embodied
                 energy even further. however, thinner wafers also require novel cell processing and encap-
                 sulation schemes, which we accounted for. We forecast that the EPBT of crystalline silicon
                 modules could be reduced to 0.5 yr (0.7 yr when including BOS) provided that planned
                 technological advances will occur. The EROI of PV modules could increase by a factor two
                 to three in the coming years, and lie in the same range as electricity from coal-fired power
                 plants.
                   This is a prospective LCA, subject to technological improvements taking place, and as
                 such it carries a considerable degree of uncertainty. To address parameter uncertainty,
                 results were provided with a 95% confidence interval, but scenario uncertainty remains.
                 however, since the general tendency of maturing technologies is to become less energy
                 and material intensive and we have used data that are representative of, at best, the situa-
                 tion today, these forecasts can be considered conservative.
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