摘要
利用已建电站的设计、运行信息资源,同时收集、整理和归纳主流供应商的各类常用机型技术信息,通过深入分析各种机型组合工况,系统研究燃料消耗及操作费计算方法,研发出电站、热站燃料消耗及操作费优快计算平台,填补了前期阶段电站、热站优快设计研究的空白,实现了多方案筛选的高效性和准确性.将选型时需考虑的各因素样本数据作为基础,利用灰色关联度分析方法描述因素间关系的强弱、大小次序,均值量化选型影响因素,定量地计算出不同电站方案的关联度并对其进行排序,进而快速筛选最优方案.首次建立了基于灰色关联度分析方法的海上平台电站方案优快比选技术,为电站方案的优选提供了新的量化分析方法,提高了前期研究阶段电站方案筛选的准确性.
By using the design and operation information resources of established power stations,col- lecting,sorting and summarizing the technical information of various common types from mainstream suppliers,deeply analyzing combined working conditions of various types,the calculation method of fuel consumption and operation cost is systematically studied,and a fast and optimum calculation plat- form of fuel consumption and operation cost for the power station and heating station is developed, which fills the blank of the optimal and fast design research for the power station and heating station in the early stage and realizes the efficiency and accuracy of multi-scheme screening. Based on the sample data of each factor considered during the selection,the gray correlation analysis method is used to de- scribe the strength and size order of the relationship among the factors,and the influence factors of se- lection are averaged and quantized. The correlation of different power station schemes is quantitatively calculated,so as to select the optimal scheme quickly. The optimum and fast selection technology for the offshore platform power station scheme based on the grey relational analysis method is established for the first time,which provides a new quantitative analysis method for the optimal selection of power sta- tion scheme and improves the accuracy of power station scheme screening in the early research stage.
作者
马金喜
陈丰波
郝铭
邹昌明
周新刚
高国强
MA Jinxi;CHEN Fengbo;HAO Ming;ZOU Changming;ZHOU Xingang;GAO Guoqiang(Bohai Oil Research Institute of Tianjin Branch,CNOOC)
出处
《油气田地面工程》
2019年第11期71-75,共5页
Oil-Gas Field Surface Engineering
关键词
海上平台
电站方案
优快比选
燃料消耗
操作费
灰色关联度分析
offshore platform
power station scheme
fast and optimum comparison and selection
fuel consumption
operation cost
grey correlation analysis