基于线性规划技术构建炼化企业CO_(2)排放预测模型

CO_(2)emission prediction model of petrochemical plants based on linear programming technology

中国二氧化碳排放(CO_(2))力争于2030年前达到峰值,2060年前实现碳中和。炼化企业作为碳排放大户,面临前所未有的发展压力。从长远看,需要从工艺路线改进、流程优化、碳捕获、清洁能源利用、设备节能改造、能源有效利用等多方面着手才能从根本上解决这一问题。从短期看,有一个投入少且行之有效的方法,即通过线性规划技术构建CO_(2)排放预测模型,并和炼化企业计划优化模型相结合,计算最少碳排放下的原油采购方案及生产加工方案。介绍了利用线性规划技术构建炼化企业CO_(2)排放预测模型的方法,借助该方法可预测出特定的生产方案或原料方案下的CO_(2)排放量,将CO_(2)排放量作为优化目标或约束目标,求解出较少CO_(2)排放量下的生产加工方案、原油采购方案,助力炼化企业的低碳发展。

China’s goal is to peak CO_(2) by 2030 and achieve carbon neutrality by 2060.Petrochemical companies are major contributors to carbon emissions and under pressure to develop in a way that has never been the case before.For the future,petrochemical companies need to realize the process route improvement,process optimization,carbon capture,clean energy utilization,equipment energy-saving transformation,energy efficient utilization and other aspects to solve this problem fundamentally.In the short term,there is an effective method with less input,that is,to build a CO_(2) emission prediction model through linear programming technology,and combine it with the planning optimization model in petrochemical companies to calculate the oil procurement plan and production-processing plan under the minimum carbon emission.It is introduced a method of constructing CO_(2) emission prediction model of petrochemical companies by using linear programming technology.With the help of this method,the CO_(2) emission of specific production plan or raw material plan can be predicted.This method can also take CO_(2) emissions as the optimization target or constraint target to find out the production-processing plan and oil procurement plan with less CO_(2) emissions,help the low-carbon development of petrochemical companies.