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Comparing Various Indicators for the LCA                        213

              The environmental impact of the PV system will be quantified by using various
            environmental indicators. We will mention some one-dimensional indicators:
            Global Warming Potential (GWP), Cumulative Energy Demand (CED), Energy
            Payback Time (EPT), Net Energy Ratio (NER), and Fossil Energy Requirement
            (FER). Also, one multidimensional indicator will be discussed here, namely the
            Eco-Indicator 99 with its three perspectives: Hierarchist (H,A), Egalitarian (E,E)
            and Individualist (I,I). Many other methods can be found in the literature; a
            nonexhaustive overview can be found in the Ecoinvent report n° 3 (Frischkneicht
            and Jungbluth 2007). The main difference between a one-dimensional indicator
            and a multidimensional is that the latter combines multiple environmental effects
            into one number, and thus aims to provide a more nuanced picture of the envi-
            ronmental impact of a good or service.
              Most of the LCA studies, however, focus only on one-dimensional indicators,
            mainly related to the impact on climate change, (fossil) energy use and energy
            efficiency. For example, two recent reviews by Varun and his colleagues focus
            almost entirely on GHG emissions (Varun et al. 2009a, b). Others mainly consider
            the energy payback time (Ito et al. 2003; Kato et al. 1997; Mason et al. 2006). This
            one-dimensional view has the advantage of being relatively simple to interpret. On
            the other hand, it has the obvious disadvantage of leaving many—possibly
            important—parameters unexplored. The Eco-Indicator 99 method can be a tool to
            overcome this issue and obtain a broader perspective.
              Comparing results from the literature is often not straightforward since a
            multitude of assumptions regarding the lifetime of the panel and the solar irradi-
            ation is used. These two parameters are hugely important to estimate the impact of
            PV electricity. As Table 1 shows, the irradiation in a sunny region can be twice as
            high as a sun-deprived region. This variation in irradiation will obviously affect the
            amount of electricity produced by a given PV system during its lifetime.
              In this chapter, we will compare the results from the one-dimensional indicators
            with the Eco-Indicator 99 (EI 99) and we will show in detail how different methods
            and assumptions shape the final results of an environmental impact assessment. All
            the results are evaluated in detail and compared with data found in the literature.
            The goal is to obtain a very broad, nuanced, and clear picture of the environmental
            impact of a residential PV system.



            Table 1 Horizontal irradiation
                                                                        2
                             2
            Low irradiation (kWh/m /year)  Moderate irradiation  High irradiation (kWh/m /year)
                                           2
                                     (kWh/m /year)
            Brussels      960        Istanbul   1,320  Seville         1,700
            Cologne       960        Bordeaux   1,300  Cyprus          1,750
            London        980        Turin      1,340  Malta           1,770
            Stockholm     940        Minneapolis  1,430  San Francisco  1,715
            Vancouver     1,100      Seattle    1,200  Los Angeles     1,788
            Sources EU (Suri et al. 2007), US National Renewable Energy Laboratory, 2010, Canada:
            National Resources Canada, 2010
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