Sustainable crude oil transportation: design optimization for pipelines considering thermal and hydraulic energy consumption

管道运输 折旧(经济) 能源消耗 节能 工程类 燃料效率 化石燃料 消费(社会学) 能源会计 管道(软件) 石油工程 工艺工程 土木工程 环境工程 废物管理 经济 机械工程 汽车工程 电气工程 经济增长 资本形成 社会学 金融资本 社会科学 人力资本
作者
Bohong Wang,Haoran Zhang,Meng Yuan,Yufei Wang,Brenno C. Menezes,Zhongjie Li,Yongtu Liang
出处
期刊:Chemical Engineering Research & Design [Elsevier]
卷期号:151: 23-39 被引量:36
标识
DOI:10.1016/j.cherd.2019.07.034
摘要

Abstract The oil and gas industry has paid increasing attention to energy consumption and is taking steps to reduce emissions owing to growing environmental concerns. In this study, a method for designing the optimization of crude oil pipelines is proposed to achieve both construction and energy consumption cost reductions. The method applied in this study is derived from a mathematical programming model with minimal annual construction depreciation cost and energy consumption cost as the objective functions. The model aims to determine the size of the pipeline, as well as the location and operational plan of each station. The hydraulic and thermal calculations, the relationship between viscosity and temperature, and the uncertainty of the flow rate are all included to ensure that the model satisfies all engineering demands. In terms of its application, the constructed model has been applied to two real cases to verify its effectiveness and potential to achieve energy conservation. Moreover, the energy consumption and CO2 emission were estimated and analyzed with varying electricity and fuel prices, as well as varying flow rate. The results demonstrate that the construction plan is not affected by the price of electricity, while fuel prices and flow rates are the main factors influencing both the construction and operational plans.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
崽崽发布了新的文献求助30
刚刚
1秒前
科研通AI2S应助kk采纳,获得10
1秒前
cxl666完成签到,获得积分10
1秒前
1秒前
研友_Zza50n发布了新的文献求助50
1秒前
2秒前
奶油橙子完成签到,获得积分10
2秒前
2秒前
3秒前
3秒前
王昱旻完成签到,获得积分10
3秒前
兜哥发布了新的文献求助10
4秒前
静静子完成签到,获得积分10
4秒前
4秒前
18746005898发布了新的文献求助10
5秒前
大模型应助OK采纳,获得10
5秒前
36456657应助人间npc采纳,获得10
5秒前
7秒前
大模型应助月颜采纳,获得10
7秒前
Flora发布了新的文献求助10
7秒前
miaomiao发布了新的文献求助10
7秒前
TBI发布了新的文献求助10
7秒前
科研剧中人完成签到,获得积分0
8秒前
学术脑袋发布了新的文献求助10
9秒前
Wendy含发布了新的文献求助10
9秒前
顾矜应助走形采纳,获得10
9秒前
9秒前
Sunny完成签到,获得积分10
9秒前
小贾同学完成签到,获得积分10
9秒前
Eve关注了科研通微信公众号
10秒前
10秒前
子车茗应助漂亮雅寒采纳,获得10
10秒前
焱焱不忘完成签到,获得积分10
11秒前
8R60d8应助小巧的大米采纳,获得10
11秒前
子期完成签到,获得积分10
11秒前
12秒前
AsRNA完成签到,获得积分10
12秒前
Ava应助郭元强采纳,获得10
12秒前
田様应助荷兰香猪采纳,获得10
13秒前
高分求助中
Medicina di laboratorio. Logica e patologia clinica 600
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
Sarcolestes leedsi Lydekker, an ankylosaurian dinosaur from the Middle Jurassic of England 500
Machine Learning for Polymer Informatics 500
《关于整治突出dupin问题的实施意见》(厅字〔2019〕52号) 500
2024 Medicinal Chemistry Reviews 480
Women in Power in Post-Communist Parliaments 450
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3217408
求助须知:如何正确求助?哪些是违规求助? 2866722
关于积分的说明 8152917
捐赠科研通 2533503
什么是DOI,文献DOI怎么找? 1366301
科研通“疑难数据库(出版商)”最低求助积分说明 644741
邀请新用户注册赠送积分活动 617717