油田联合站分布式能源系统优化
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摘要
为了提高油田联合站的经济效益,达到进一步节能降耗的目的,对分布式能源系统的科学用能、节能方法进行研究,将分布式能源系统的设备及运行策略进行合理配置,使其能量输出与联合站的用能需求相匹配。以年平均总支出费用最低为目标函数,能量平衡和设备安全运行为约束条件,建立并求解油田联合站分布式能源系统的混合整数线性规划(Mixed-integer Linear Programming,MILP)模型。实例计算结果表明:与传统集中式能源和冷热电三联供系统相比,基于该模型求解的方案经济效益明显,能源利用率高,且更节能环保。(图5,表3,参20)
In order to improve the economic benefit of oilfield united stations and reach the target of further energy saving,a series of studies were carried out in this paper to adopt the scientific energy utilization and saving method of distributed energy system and allocate the equipment and operation strategy of distributed energy system rationally, so that its energy output could match the energy demand of united stations. Then, the Mixed Integer Linear Programming(MILP) model for the distributed energy system of united stations was established and solved with the minimization of annual average total expenditure as the objective function and the energy balance and the safe equipment operation as the constraints. The case calculation results show that compared with the traditional centralized energy and combined cooling heating and power system, the scheme based on the solution of this MILP model is more advantageous with remarkable economic benefit, high energy efficiency and efficient energy saving and environmental protection.(5 Figures, 3 Tables, 20 References)
In order to improve the economic benefit of oilfield united stations and reach the target of further energy saving,a series of studies were carried out in this paper to adopt the scientific energy utilization and saving method of distributed energy system and allocate the equipment and operation strategy of distributed energy system rationally, so that its energy output could match the energy demand of united stations. Then, the Mixed Integer Linear Programming(MILP) model for the distributed energy system of united stations was established and solved with the minimization of annual average total expenditure as the objective function and the energy balance and the safe equipment operation as the constraints. The case calculation results show that compared with the traditional centralized energy and combined cooling heating and power system, the scheme based on the solution of this MILP model is more advantageous with remarkable economic benefit, high energy efficiency and efficient energy saving and environmental protection.(5 Figures, 3 Tables, 20 References)
引文
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[15]蔡广星,许康,马猛.油气集输分布式能源系统的构成及节能效果[J].油气储运,2015,34(10):1119-1123.CAI G X,XU K,MA M.Composition of distributed energy system for oil&gas gathering and its energy saving effect[J].Oil&Gas Storage and Transportation,2015,34(10):1119-1123.
[16]于洪良,郭林,宋述生.集输联合站能耗分析及控制措施[J].科技传播,2011(3):39-45.YU H L,GUO L,SONG S S.The analysis and control measures of gathering transportation joint station[J].Public Communication of Science&Technology,2011(3):39-45.
[17]ZHOU Z,LIU P,LI Z,et al.An engineering approach to the optimal design of distributed energy systems in China[J].Applied Thermal Engineering,2013,53(2):387-396.
[18]YANG Y,ZHANG S J,XIAO Y H.Optimal design of distributed energy resource systems based on two-stage stochastic programming[J].Applied Thermal Engineering,2017,110:1358-1370.
[19]林世平,李先瑞,陈斌.燃气冷热电分布式能源技术应用手册[M].北京:中国电力出版社,2014:16-20.LIN S P,LI X R,CHEN B.Application manual of gas combined cooling heating and power distributed energy technology[M].Beijing:China Electric Power Press,2014:16-20.
[20]赵敏,张卫国,俞立中.上海市能源消费碳排放分析[J].环境科学研究,2009,22(8):984-989.ZHAO M,ZHANG W G,YU L Z.Carbon emissions from energy consumption in Shanghai city[J].Research of Environmental Sciences,2009,22(8):984-989.
[2]侯绪荣.油田联合站全流程参数优化[D].青岛:中国石油大学(华东),2013:31-42.HOU X R.Operating parameter optimization for oil field multipurpose station[D].Qingdao:China University of Petroleum(East China),2013:31-42.
[3]寇杰,孙思聪,李云.基于粒子群算法的联合站优化[J].油气储运,2016,35(9):990-993.KOU J,SUN S C,LI Y.Optimization of united stations based on PSO[J].Oil&Gas Storage and Transportation,2016,35(9):990-993.
[4]李岩芳.联合站工艺优化设计研究[D].青岛:中国石油大学(华东),2007:5-44.LI Y F.The study of design and optimization for central gathering station[D].Qingdao:China University of Petroleum(East China),2007:5-44.
[5]曹斯亮.塔河稠油集输系统优化研究[D].青岛:中国石油大学(华东),2008:53-65.CAO S L.Study on optimization of Tahe Oilfield heavy oil gathering and transportation system[D].Qingdao:China University of Petroleum(East China),2008:53-65.
[6]王文生.丘陵联合站优化工艺流程及效益评价[J].化学工程与装备,2017(12):103-105.WANG W S.Optimizing process flow and benefit evaluation of Qiuling central processing facility[J].Chemical Engineering&Equipment,2017(12):103-105.
[7]王彦龙,曹伟丽,郭明,等.王圈联合站污水处理工艺优化研究[J].石油化工应用,2014,33(6):89-93.WANG Y L,CAO W L,GUO M,et al.Research on optimization of oil production sewage treatment-process in the union station of Wangjuan[J].Petrochemical Industry Application,2014,33(6):89-93.
[8]AUGUSTINE A,RADZUAN J,ASMA Y,et al.Comparative study of continuous and intermittent ultrasonic ultrafiltration membrane for treatment of synthetic produced water containing emulsion[J].Chemical Engineering and Processing,2018,132:137-147.
[9]LIU L,ZHU T,PAN Y,et al.Multiple energy complementation based on distributed energy systems-Case study of Chongming county,China[J].Applied Energy,2017,192:329-336.
[10]何源.分布式能源系统的分析及优化[D].天津:天津大学,2007:2-10.HE Y.Analysis and optimization of distributed energy system[D].Tianjin:Tianjin University,2007:2-10.
[11]高思静.分布式能源系统适应条件及配置的研究[D].济南:山东建筑大学,2013:1-7.GAO S J.Research on adaptive conditions and configuration of distributed energy system[D].Jinan:Shandong Jianzhu University,2013:1-7.
[12]ALANNE K,SAARI A.Distributed energy generation and sustainable development[J].Renewable and Sustainable Energy Reviews,2006,10(6):539-558.
[13]JING R,ZHU X Y,ZHU Z.A multi-objective optimization and multi-criteria evaluation integrated framework for distributed energy system optimal planning[J].Energy Conversion and Management,2018,166:445-462.
[14]李正茂,王红涛.天然气分布式能源联供技术在油气田集气站的应用[J].发电与空调,2017,38(1):1-5.LI Z M,WANG H T.Application of natural gas distributed energy cogeneration technology in oil and gas field[J].Power Generation&Air Condition,2017,38(1):1-5.
[15]蔡广星,许康,马猛.油气集输分布式能源系统的构成及节能效果[J].油气储运,2015,34(10):1119-1123.CAI G X,XU K,MA M.Composition of distributed energy system for oil&gas gathering and its energy saving effect[J].Oil&Gas Storage and Transportation,2015,34(10):1119-1123.
[16]于洪良,郭林,宋述生.集输联合站能耗分析及控制措施[J].科技传播,2011(3):39-45.YU H L,GUO L,SONG S S.The analysis and control measures of gathering transportation joint station[J].Public Communication of Science&Technology,2011(3):39-45.
[17]ZHOU Z,LIU P,LI Z,et al.An engineering approach to the optimal design of distributed energy systems in China[J].Applied Thermal Engineering,2013,53(2):387-396.
[18]YANG Y,ZHANG S J,XIAO Y H.Optimal design of distributed energy resource systems based on two-stage stochastic programming[J].Applied Thermal Engineering,2017,110:1358-1370.
[19]林世平,李先瑞,陈斌.燃气冷热电分布式能源技术应用手册[M].北京:中国电力出版社,2014:16-20.LIN S P,LI X R,CHEN B.Application manual of gas combined cooling heating and power distributed energy technology[M].Beijing:China Electric Power Press,2014:16-20.
[20]赵敏,张卫国,俞立中.上海市能源消费碳排放分析[J].环境科学研究,2009,22(8):984-989.ZHAO M,ZHANG W G,YU L Z.Carbon emissions from energy consumption in Shanghai city[J].Research of Environmental Sciences,2009,22(8):984-989.
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