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CO_2 Emission Reduction for Power System Based on Total Emission Control of CO_2 (II): A Case Study

机译:基于CO_2(II)总排放控制的电力系统CO_2减排:一个案例研究

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摘要

Power industry as the main source of CO_2 emissions, is facing tremendous challenge of CO_2 emission reduction during the periods of "12th Five-year" and "13th Five-year". How to maximize the reduction of power CO_2 emissions under the premise of regional economic development and energy requirements is the significant manage ment objective for administrative department. In this study, a mixed integer stochastic chance-constraint programming model based on CO_2 emission reduction from power industry is applied to the power system in Heilongjiang province, in order to obtain the CO_2 emission reduction schemes of energy conservation, reduction project and power structure adjustment in Heilongjiang province during the periods of the "12th Five-year" and "13th Five-year". According to the model calculation and the results analysis, the power CO_2 emission growth in periods of the "12th Five-year" and "13th Five-year" are less than 23.82% and 20.13% respectively, significantly lower than the regional CO_2 emission growth. It means the power industry has made a great contribution to CO_2 emission reduction in Heilongjiang province. Meanwhile, the results of model application show that the developed model can meet the management target of maximizing the reduction of power CO_2 emissions, and provide reasonable reference to the administrative department.
机译:电力产业作为CO_2排放的主要来源,在“十二五”和“十三五”期间,面临CO_2减排的巨大挑战。如何在区域经济发展和能源需求的前提下最大限度地减少电力CO_2排放是行政部门的重大管理宗旨。在本研究中,基于电力行业的CO_2减排的混合整数随机机会 - 约束模型应用于黑龙江省的电力系统,以获得节能,减排项目和电力结构调整的CO_2减排方案在黑龙江省在“十二五”和“十三五”时期。根据模型计算和结果分析,“12日五年”和“十三五年”期间的电力CO_2排放增长分别小于23.82%和20.13%,显着低于区域CO_2排放增长。这意味着电力行业对黑龙江省的CO_2减排作出了巨大贡献。同时,模型应用结果表明,开发的模型可以满足最大化电力CO_2排放减少的管理目标,并为行政部门提供合理的参考。

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