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Emissions Scenarios - IPCC

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128 Scenario Driving Forces<br />

Such development is hard to measure in material terms.<br />

Many writers refer to "dematerialization" and the<br />

emergence of the "knowledge-based" economy.<br />

• The start of a new "Kondratiev wave" may be<br />

underway, to be revealed in the early 2P' century in a<br />

surge of economic growth, with the massive<br />

development of high-technology industries leading to<br />

new products of increasing value and renewed<br />

opportunities for fast developmental catch-up.<br />

As a result, scenarios can span from low dematerialization to<br />

high dematerialization futures associated with a wide range of<br />

income levels. In the former, the shift toward more value-added<br />

products in industry would be compensated by rising labor<br />

productivity and hence lower product costs. Economic<br />

production remains material oriented. It may be a world with<br />

huge underground cities, air-conditioned tourist resort areas<br />

with indoor beaches, a significant fraction of people in lowdensity<br />

regions may fly their own aiфlanes, and robots may do<br />

housework in most homes. In the latter, much of the money<br />

flow would be associated with exchange of information and<br />

services. Industrial value added would be, to a large extent,<br />

generated from R&D and know-how, and less from increasing<br />

productivity in traditional industries. Educational, childcare,<br />

and medical services would make up a large part of personal<br />

expenditures. Already, all kinds of artistic and handicraft work<br />

have become part of the formal monetary economy, partly<br />

because of the booming world tourist industry. Much<br />

"economic growth" may revolve around the (re)distribution of<br />

scarce, positional goods such as space and valuable artworks.<br />

Therefore, the task of future scenario development entails more<br />

than just the adoption of altemative quantitative assumptions.<br />

The overall context within which altemative assumptions on<br />

productivity growth or energy and materials intensity take<br />

place needs to be made explicit. This is simply because many<br />

key influencing factors (e.g., institutions) cannot be assessed<br />

quantitatively, or the relationship between factors is known<br />

only qualitatively. The development of altemative qualitative<br />

scenario "storylines" (see Chapter 4) is therefore an important<br />

advance over previous <strong>IPCC</strong> scenario methodologies.<br />

3.4. Energy and Technology<br />

3.4.1. Introduction<br />

In this section, energy end-uses, resources, and technologies<br />

are reviewed. Their future evolution is of critical importance to<br />

future emissions levels. First, major pattems of energy end-use<br />

and emissions by sector are considered, followed by a<br />

discussion of energy resources; then energy supply<br />

technologies that might become of greater importance in the<br />

future are reviewed briefly before the current understanding<br />

and modeling of technological change are discussed.<br />

3.4.2. Energy Use and <strong>Emissions</strong> by Major Sectors<br />

3.4.2.1. Overview<br />

Sectoral energy use and GHG emissions changes are often<br />

discussed in terms of trends in the major end-use sectors (e.g.,<br />

Sathaye et al., 1989; lEA, 1997c; Schipper et al, 1997a; Price<br />

et al, 1998). Trends reveal striking differences between sectors<br />

and regions of the world. The key sectors of the economy that<br />

use energy are industry (including agriculture), commercial,<br />

residential, and institutional buildings, and transportation. Key<br />

drivers of energy use and carbon emissions include activity<br />

drivers (total population growth, urbanization, building, and<br />

vehicle stock, commodity production), economic drivers (total<br />

GDP, income, and price elasticities), energy intensity trends<br />

(energy intensity of energy-using equipment, appliances,<br />

vehicles), and carbon intensity trends. These factors are in tum<br />

driven by changes in consumer preferences, energy and<br />

technology costs, settlement and infrastructure patterns,<br />

technical progress, and overall economic conditions.<br />

Table 3-4 shows that global primary energy use grew from<br />

191 EJ in I97I to 307 EJ in 1990 at an average annual growth<br />

rate of 2.5% per year. This growth tapered off in all sectors<br />

after 1990, and total global primary energy increased to only<br />

319 EJ by 1995, mainly because of the large declines<br />

experienced in the REF region (see Chapter 1 for definition of<br />

SRES world regions) as a result of the political and economic<br />

restracturing of the countries within it. Table 3-4 shows that<br />

the industrial sector clearly dominates total primary energy<br />

use, followed by the buildings sector (commercial,<br />

residential, and institutional buildings combined), transport<br />

sector, and agriculture sector.<br />

Energy intensity is the amount of energy used to perform a<br />

particular service, such as to produce a ton of steel, power a<br />

refrigerator, or propel a vehicle. Technical progress generally<br />

leads to improved energy efficiency in technologies such as<br />

lights, vehicles, refrigerators, and manufacturing processes.<br />

Many studies show that considerable energy efficiency<br />

improvement can be realized (technically and economically) in<br />

the short term (10-15 years) with available technologies<br />

(Szargut and Morris, 1987; Ayres, 1989; Jochem, 1989; Lovins<br />

and Lovins, 1991; Nakicenovic et al, 1993; WEC, 1995b;<br />

Watson etal., 1996; Worrell etal., 1997).<br />

In 1990, industry accounted for two-fifths of global primary<br />

energy use, residential and commercial buildings for a slightly<br />

smaller amount, and transportation for one-fifth of the total.<br />

These shares vary according to economic structures in each<br />

region (see below). Carbon emissions that result from energy<br />

use depend on the carbon intensity of the energy source.<br />

Changes in carbon intensity mainly result from fuel<br />

substitution, but can also arise from changes in technology or<br />

process. The largest shifts in carbon intensity over the long<br />

term are associated with changes in the energy sources used for<br />

power generation since 1850 (Nakicenovic and Grübler, 1996).<br />

Smaller but still significant shifts resulted from fuel switching

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