摘要
为降低天然气管网碳排放量,基于不同能源结构,提出了天然气管网低碳运行优化模型。使用测试函数对比分析麻雀搜索算法(sparrow search algorithm,SSA)、鲸鱼优化算法(whale optimization algorithm,WOA)和人工蜂鸟算法(artificial hummingbird algorithm,AHA),结果表明AHA算法的优化性能较好。以陕京天然气管网为例,建立以碳排放量最小为目标的碳排放优化模型,采用AHA算法求解模型,结果表明:能耗优化方案(目标1方案)倾向使用天然气,碳排放优化方案(目标2方案)倾向使用电能;目标1方案降低能耗21.75%,目标2方案降低能耗21.32%,而目标1方案降低碳排放量21.18%,而目标2方案降低碳排放量24.06%,故碳排放优化方案可使管网碳排放量最低,但无法使管网能耗最低。综上,本文建立的优化模型能够实现管网能耗优化与碳排放优化等功能,助力建设智慧管网。
A low carbon operation optimization model for natural gas pipeline networks is proposed based on different energy structures to reduce carbon emissions.SSA(sparrow search algorithm),WOA(whale optimization algorithm),and AHA(artificial hummingbird algorithm) were compared using test functions.Results show that AHA has better optimization performance.The Shanxi-Beijing natural gas pipeline network was taken as an example.A carbon emission optimization model with the goal of minimizing carbon emissions was established.AHA was used to solve the model.Results show as follows.The energy consumption optimization scheme(objective 1 scheme) tends to use natural gas,and the carbon emission optimization scheme(objective 2 scheme) tends to use electricity.The objective 1 scheme reduces energy consumption by 21.75%,while the objective 2 scheme reduces energy consumption by 21.32%.The objective 1 scheme reduces carbon emissions by 21.18%,and the objective 2 scheme reduces carbon emissions by 24.06%.Therefore,the carbon emission optimization scheme minimizes carbon emissions from the pipeline network but cannot minimize energy consumption.In conclusion,the optimization model established in this paper can realize the functions of pipe network energy consumption optimization and carbon emission optimization and help to build a smart pipe network.
作者
刘恩斌
李茜
鲁绪栋
赖品蓉
郝天舒
周廉乐
LIU En-bin;LI Xi;LU Xu-dong;LAI Pin-rong;HAO Tian-shu;ZHOU Lian-le(Petroleum Engineering School,Southwest Petroleum University,Chengdu 610500,China;Jiangsu Guoxin Co.,Ltd.,Nanjing 210005,China;Zhonglian Coalbed Methane Co.,Ltd.,Taiyuan Branch,Taiyuan 030082,China)
出处
《科学技术与工程》
北大核心
2024年第26期11215-11224,共10页
Science Technology and Engineering
基金
四川省自然科学基金(2023NSFSC0422)。
关键词
天然气管网
运行优化
算法测试
能耗
碳排放量
natural gas pipeline network
operational optimization
algorithm testing
energy consumption
carbon emission volume