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18                                                Managing Global Warming

         emitted. The amounts of these gases and their dilution in the atmosphere create a
         sociopolitical and engineering challenge of unprecedented proportions. Climatically
         relevant scale is orders of magnitude greater than industrial scale, and the
         interdependence of the options available to policymakers means that portfolios of
         individually plausible policies may not be plausible in aggregate.
            This chapter does not promote any particular net emissions technology (NET) to
         deliver greenhouse gas removal (GGR). Instead, it treats them as a generic set of tech-
         nologies that have in common the capture and permanent sequestration of atmospheric
         CO 2 . The question addressed here is how much GGR will be required, not which
         NETs will deliver it [1].
            Solar radiation management (SRM) can assist in meeting the temperature targets by
         reducing net insolation, thereby allowing a more gradual path to zero emissions, but it
         cannot contribute to reducing greenhouse gases (GHGs), a necessary element of any
         long-term sustainable climate policy. SRM is therefore outside the scope of this chapter.
            The chapter uses outputs from a calculator designed to show how the
         interdependent policy variables affecting energy consumption and emissions combine
         to produce future consumption and emissions scenarios extrapolated to 2100. The core
         assumptions and relationships that define the algorithms behind the calculations are
         described in Section 2.2.
            A critical challenge for policymakers is to decide which of the infinite range of
         possible futures are policy relevant. The chapter deploys the complexity theory con-
         cept of plausibility to define the feasible range of policy options and assess the extent
         to which they rely upon zero emissions energy (ZEE) and GGR. The concept of plaus-
         ibility is explained in Section 2.3.In Section 2.4, the interconnectedness of the input
         parameters and their relative sensitivities are discussed without considering their feas-
         ibility. In Section 2.5 plausibility is used to discard infeasible policy options, and
         Section 2.6 looks at the policy implications of a range of feasible policy portfolios,
         ranked according to their dependence on GGR. In Section 2.7, the plausibility of
         meeting the demand for ZEE is assessed. The chapter closes with conclusions in
         Section 2.8.
            Notation used in this chapter follows the conventions set out in Box 2.1.


         2.2   Methodology


         This analysis is based on global aggregates without reference to geographic or national
         distributions of energy consumption or production. It relies on three core axioms.
         First, total final energy consumption (TFC) can be met either from fossil fuels (FF)
         or from ZEE (biomass, nuclear, solar, wind, geothermal, tidal, and hydro). Second,
         in a heterogeneous market-based global economy, global energy consumption is
         market driven and cannot be determined by government fiat. Third, public policy
         can influence the rate and direction of change in energy consumption, its primary
         sources, and energy efficiency.
            The analysis also makes the assumption that the climatic effect of a unit of GHG
         removed is the same as a unit not emitted. However, the reduction in atmospheric
         aerosols resulting from reduced FF combustion may generate countervailing net
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