Multi-Objective Optimisation Analysis for Off-Grid, On-Site Power Generation Comparing Hybrid Renewable Energy Systems and Gas-to-Power Systems In Upstream Applications

S. A. Ruvalcaba Velarde
{"title":"Multi-Objective Optimisation Analysis for Off-Grid, On-Site Power Generation Comparing Hybrid Renewable Energy Systems and Gas-to-Power Systems In Upstream Applications","authors":"S. A. Ruvalcaba Velarde","doi":"10.2118/204814-ms","DOIUrl":null,"url":null,"abstract":"\n As the oil and gas industry increases its focus on sustainability, including greenhouse gases emissions reductions and carbon footprint management, it is relevant to analyze optimal solutions integrating different renewable, green and hydrogen technologies into hybrid renewable energy systems and compare them with well gas-to-power approaches for off-grid, on-site power generation in upstream applications.\n This paper goes through a desk review of different types of upstream facilities and an overview of potential power requirements to consider for off-grid electrification. Then, different technologies used for off-grid hybrid renewable energy systems are introduced and compared in terms of potential uses and integration requirements. Furthermore, emission targets are presented along with potential economical constraints. With those aspects introduced, system sizing and assumptions are modeled, simulated and optimized.\n The different modeled cases, including integrated renewable energy systems and power-to-gas systems, are presented in terms of suitability in application to the facilities under consideration. For such cases, simulation results are presented in quantitative terms of equivalent optimized value for the multiple competing objectives in the study, in terms of sustainability targets and economics. Sensitivity analysis are also presented showing main parameters of influence on the optimal energy scheme approach.\n This paper provides a qualitative and quantitative analytical optimization approach evaluating multiple competing objectives in terms of green, renewable, hydrogen and gas-to-power technologies, economics and carbon footprint management for consideration in facilities power systems schemes.","PeriodicalId":11094,"journal":{"name":"Day 2 Mon, November 29, 2021","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 2 Mon, November 29, 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/204814-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

As the oil and gas industry increases its focus on sustainability, including greenhouse gases emissions reductions and carbon footprint management, it is relevant to analyze optimal solutions integrating different renewable, green and hydrogen technologies into hybrid renewable energy systems and compare them with well gas-to-power approaches for off-grid, on-site power generation in upstream applications. This paper goes through a desk review of different types of upstream facilities and an overview of potential power requirements to consider for off-grid electrification. Then, different technologies used for off-grid hybrid renewable energy systems are introduced and compared in terms of potential uses and integration requirements. Furthermore, emission targets are presented along with potential economical constraints. With those aspects introduced, system sizing and assumptions are modeled, simulated and optimized. The different modeled cases, including integrated renewable energy systems and power-to-gas systems, are presented in terms of suitability in application to the facilities under consideration. For such cases, simulation results are presented in quantitative terms of equivalent optimized value for the multiple competing objectives in the study, in terms of sustainability targets and economics. Sensitivity analysis are also presented showing main parameters of influence on the optimal energy scheme approach. This paper provides a qualitative and quantitative analytical optimization approach evaluating multiple competing objectives in terms of green, renewable, hydrogen and gas-to-power technologies, economics and carbon footprint management for consideration in facilities power systems schemes.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
离网、现场发电的多目标优化分析,比较混合可再生能源系统和天然气发电系统在上游的应用
随着油气行业越来越关注可持续性,包括温室气体减排和碳足迹管理,分析将不同的可再生、绿色和氢技术整合到混合可再生能源系统中的最佳解决方案,并将其与上游应用中离网现场发电的井气发电方法进行比较,是有意义的。本文对不同类型的上游设施进行了桌面审查,并概述了离网电气化需要考虑的潜在电力需求。然后,介绍了用于离网混合可再生能源系统的不同技术,并从潜在用途和集成要求方面进行了比较。此外,还提出了排放目标和潜在的经济约束条件。介绍了这些方面,对系统的规模和假设进行了建模、仿真和优化。不同的模型案例,包括综合可再生能源系统和电力制气系统,在考虑的设施的适用性方面提出。在这种情况下,模拟结果以研究中多个竞争目标在可持续性目标和经济性方面的等效优化值的定量形式呈现。对影响最优能量方案方法的主要参数进行了敏感性分析。本文提供了一种定性和定量分析优化方法,评估绿色、可再生、氢和天然气发电技术、经济和碳足迹管理方面的多个竞争目标,以供设施电力系统方案考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
How Leaders Can Shape the Oil & Gas Industry – Accelerating Innovations Through Business & Environmental Intelligent Systems High Performance Friction Reducer for Slickwater Fracturing Applications: Laboratory Study and Field Implementation CO2 Waterless Fracturing and Huff and Puff in Tight Oil Reservoir Switched Reluctance Motor for Electric Submersible Pump Sparse Water Fracture Channel Detection from Subsurface Sensors Via a Smart Orthogonal Matching Pursuit
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1