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Impacts of regional industrial electricity savings on the development of future coal capacity per electricity grid and related air pollution emissions - A case study for China

机译:区域工业电力节约对各电网未来煤炭能力发展的影响及相关空气污染排放 - 以中国为例

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Moving to a sustainable industry and weaning electricity supply off coal are critical to mitigate ambient air pollution and climate change. This is particularly true in China which is globally the largest manufacturer and relies heavily on coal-fired electricity. Research that explores the linkages between industrial electricity use and the electricity supply sector to curb air pollution is limited. In this study, an integrated modeling framework is developed that quantifies the impact of industrial electricity savings on the evolution of the coal power plant fleet in China, and on air pollutants for the different power grids in the period 20162040. The framework includes a rich set of efficiency technologies and detailed unit-level information (geo-coordinates, thermal efficiency, environmental performance). We find that the reduced electricity load due to the industrial efficiency improvements can effectively scale down the coal power fleet, and most importantly allows closing the most polluting units. The potentials for electricity savings vary amongst the industrial sectors and provinces, resulting in significant heterogeneity of coal plant phaseout per power grid. Because energy-intensive industrial plants are mostly found in the North, Central and Northwest grids, these three grids provide 66% of the total displaced coal capacity. The closing of coal units leads to a variation in annual emission reductions per power grid of 13-85 kt-SO2, 19-129 kt-NOx, 3-17 kt-PM and 21-167 Mt-CO2, compared to business-as-usual emissions. The iron & steel, aluminium and chemical sectors, together contribute to 84% of the total electricity savings by 2040, and are thereby most important to target.
机译:迁移到可持续行业和断奶电力供应煤炭对于减轻环境空气污染和气候变化至关重要。这在中国尤其如此,这是全球最大的制造商,并依赖于燃煤电力。探索工业用电力使用与电力供应部门来遏制空气污染的联系的研究受到限制。在这项研究中,开发了一个集成的建模框架,这些框架量化了在201620年4040时期的煤炭电厂舰队的演变对中国煤炭电厂舰队演变的影响。该框架包括丰富的套装效率技术和详细的单位信息(地理坐标,热效率,环境性能)。我们发现,由于工业效率的改善导致的电力负荷降低可以有效地缩小煤电车队,最重要的是允许关闭最多的污染部队。电力储蓄潜力在工业部门和省份之间变化,导致每个电网煤炭膨胀的显着异质性。由于能源密集型工厂主要在北部,中央和西北网格中发现,这三个网格提供了总流离失所煤炭能力的66%。与企业相比,煤炭单元的闭合机电网每年减排每年减排13-85 kt-o2,19-129 kt-nox,3-17 kt-pm和21-167 mt-co2。 - 傲慢的排放。钢铁,铝和化学部门,共同有助于2040年的总电量的84%,从而对目标最重要。

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