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Saving energy in China’s industry with a focus on electricity: a review of opportunities, potentials and environmental benefits

AbstractIndustry is the largest electricity consuming sector in the world. China consumes about 25% of global electricity demand, and 69% of this is used in industries. The high electricity demand in industry is responsible for 45% of CO2, 25% of SO2, 34% of NOx and 14% of PM emissions in China. This study aims to fill the knowledge gap on the potential for electricity savings in China’s industries, thereby providing important implications for the potential of reducing emissions in electricity-intensive industrial subsectors in general. Available studies are reviewed and compared to identify electricity-saving potentials. The findings show that China’s industrial energy system is shifting to higher electricity and relatively lower fossil fuel use due to accelerated end-use electrification. China’s industry can reduce electricity use by 7–24% in 2040, compared to baseline levels, and generate emission reductions of 192–1118 Mt-CO2, 385–2241 kt-SO2, 406–2362 kt-NOx and 92–534 kt-PM2.5. The iron & steel subsector has the largest contribution to the industrial electricity savings, followed by non-ferrous metals, chemicals, cement and pulp & paper. Policies that combine environmental targets, demand-side efficiency and supply-side retrofits in the power sector should be adopted. Given the different performance of policies in terms of energy savings and emission reduction, sector- and region-specific policies would be preferred.
- Utrecht University Netherlands
- Beihang University China (People's Republic of)
- International Institute for Applied Systems Analysis Austria
- Beihua University China (People's Republic of)
China, 660, 330, Energy efficiency, General Energy, Electricity saving, Industry, Air pollutants, Carbon emissions
China, 660, 330, Energy efficiency, General Energy, Electricity saving, Industry, Air pollutants, Carbon emissions
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).13 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
