摘要：Based on process principles and the operational features of crude oil pipelines, this research developed mathematical models to optimize steady-state pipeline operation, to apportion monthly flow into daily or hourly flow rates, and to predict monthly energy consumption. Corresponding algorithms were also developed. Because these models and corresponding algorithms are process-based, they are suitable for predicting monthly energy consumption of existing isothermal and hot crude oil pipelines. The predicted monthly energy consumption of crude oil pipelines depends on which flow distribution method is used, which pumping operation scheme is used and which heating operation scheme is used, with different flow distributions, different pumping and heating operation scheme yielding a range of monthly energy consumption predictions for a given transportation volume. The minimum monthly energy consumption can be determined from these predictions, and the interval of the predictions can indicate the extent to which the flow rate fluctuation affects pipeline energy consumption. Both of these findings can be used by pipeline operators to reduce the amount of energy needed to operate crude oil pipelines.
Copyright © 2018 ASME

卷、期、页：v 3,

发表日期：2018-01-01

期刊分区（SCI为中科院分区）：无

收录情况：国际学术会议论文集

发表期刊名称：Proc. Bienn. Int. Pipeline Conf. IPC

参与作者：刘松,姜勇

通讯作者：张晓瑞

第一作者：左丽丽,吴长春

论文类型：会议论文

论文概要：左丽丽,吴长春,刘松,姜勇,张晓瑞，Predicting monthly energy consumption of crude oil pipelines using process simulation and optimization，Proc. Bienn. Int. Pipeline Conf. IPC，2018，v 3,

论文题目：Predicting monthly energy consumption of crude oil pipelines using process simulation and optimization