安全、健康和环境2025，Vol.25Issue(2)：26-36,11.DOI:10.3969/j.issn.1672-7932.2025.02.004
基于工业大数据的天然气净化过程能耗控制方法
Energy Consumption Control Method of Natural Gas Purification Process Based on Industrial Big Data
摘要
Abstract
The energy consumption of high-sulfur natural gas purification process accounts for more than 80%of the total energy consumption of the whole natural gas development process,and the energy saving poten-tial is huge.The energy consumption analysis and optimization of the purification equipment were completed by deeply studying the current situation,characteristics and energy consumption law of the purification process of high sulfur natural gas.The historical operation data of key operating parameters and energy consumption were collected,and the relationship prediction model between key operating parameters and energy consumption was established by using neural network.Intelligent optimization algorithm combined with neural network relation-ship prediction model was used to obtain the optimal energy consumption of the device under different treatment conditions as the benchmark energy consumption,and the optimization results of key operating parameters were the benchmark conditions under the treatment conditions.The energy consumption characteristics of the purifi-cation unit were analyzed,the model of combined opening and load optimization distribution of the purification unit was established,and the intelligent optimization algorithm was used to solve it,and the device opening combination scheme with the lowest energy consumption and the corresponding load optimization distribution re-sults of the opening unit were found under different processing volumes of the whole plant.The energy consump-tion model of public projects was established,the model parameters were determined through the analysis of his-torical operation data,and the intelligent optimization algorithm was used to optimize the solution,and the matc-hing production scheme of public projects with the lowest energy consumption was found.This study will guide the collaborative optimization of the consumption of energy-carrying working medium between the purification de-vice and the public project,and effectively realize the efficient and comprehensive utilization of energy.关键词
天然气净化/大数据/公用工程/能源综合利用/预测Key words
natural gas purification/big Data/public works/comprehensive utilization of energy/forecasting分类
石油、天然气工程引用本文复制引用
胡景梅,厉建祥,杨国栋..基于工业大数据的天然气净化过程能耗控制方法[J].安全、健康和环境,2025,25(2):26-36,11.基金项目
中国石化科技部科研项目(R24038),中国石化HSE管理体系要求与"三基"工作要求基层落实方法. （R24038）
