Demand response scheduling of copper production under short-term electricity price uncertainty

IF 3.9 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Chemical Engineering Pub Date : 2023-10-01 DOI:10.1016/j.compchemeng.2023.108394
Sonja H.M. Germscheid , Fritz T.C. Röben , Han Sun , André Bardow , Alexander Mitsos , Manuel Dahmen
{"title":"Demand response scheduling of copper production under short-term electricity price uncertainty","authors":"Sonja H.M. Germscheid ,&nbsp;Fritz T.C. Röben ,&nbsp;Han Sun ,&nbsp;André Bardow ,&nbsp;Alexander Mitsos ,&nbsp;Manuel Dahmen","doi":"10.1016/j.compchemeng.2023.108394","DOIUrl":null,"url":null,"abstract":"<div><p>Marketing demand response of industrial processes on electricity spot markets can reduce operational cost. We apply our simultaneous day-ahead and intraday electricity market participation approach (Germscheid et al., AIChE J. 2022;68:e17828) to analyze the demand response potential of power-intensive copper production with our previously derived resource–task network model (Röben et al., J. CLEAN. PROD. 2022;362:132221). Specifically, we tackle intraday price uncertainty by stochastic scheduling optimization considering both risk-neutral and risk-averse market participation. Risk-averse participation allows for 1.9% weekly savings compared to only participating on the day-ahead market. Risk-neutral participation allows for 6.4% savings, but is connected to higher financial risks on weekends. Moreover, we show that load-shifting capabilities significantly depend on modeling on/off decisions either as first or second-stage integer decisions and that sequential day-ahead and intraday scheduling allows to participate in both markets while balancing financial risk, expected cost, and computational complexity compared to stochastic scheduling.</p></div>","PeriodicalId":286,"journal":{"name":"Computers & Chemical Engineering","volume":"178 ","pages":"Article 108394"},"PeriodicalIF":3.9000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0098135423002648","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

Marketing demand response of industrial processes on electricity spot markets can reduce operational cost. We apply our simultaneous day-ahead and intraday electricity market participation approach (Germscheid et al., AIChE J. 2022;68:e17828) to analyze the demand response potential of power-intensive copper production with our previously derived resource–task network model (Röben et al., J. CLEAN. PROD. 2022;362:132221). Specifically, we tackle intraday price uncertainty by stochastic scheduling optimization considering both risk-neutral and risk-averse market participation. Risk-averse participation allows for 1.9% weekly savings compared to only participating on the day-ahead market. Risk-neutral participation allows for 6.4% savings, but is connected to higher financial risks on weekends. Moreover, we show that load-shifting capabilities significantly depend on modeling on/off decisions either as first or second-stage integer decisions and that sequential day-ahead and intraday scheduling allows to participate in both markets while balancing financial risk, expected cost, and computational complexity compared to stochastic scheduling.

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
短期电价不确定性下铜生产的需求响应调度
在电力现货市场上营销工业过程的需求响应可以降低运营成本。我们应用我们的同步日前和日内电力市场参与方法(gerscheid等人,AIChE J. 2022;68:e17828),用我们先前推导的资源任务网络模型(Röben等人,J. CLEAN.)来分析电力密集型铜生产的需求响应潜力。刺激。2022;362:132221)。具体而言,我们通过考虑风险中性和风险厌恶市场参与的随机调度优化来解决日内价格的不确定性。与只参与前一天的市场相比,规避风险的参与每周可以节省1.9%。风险中性参与可以节省6.4%,但与周末较高的金融风险有关。此外,我们表明,负载转移能力在很大程度上取决于建模的开/关决策,无论是作为第一阶段还是第二阶段的整数决策,与随机调度相比,连续的日前和日内调度允许在平衡财务风险、预期成本和计算复杂性的同时参与两个市场。
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
Computers & Chemical Engineering
Computers & Chemical Engineering 工程技术-工程:化工
CiteScore
8.70
自引率
14.00%
发文量
374
审稿时长
70 days
期刊介绍: Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems.
期刊最新文献
Editorial Board Application and interpretability of a hybrid-enhanced XGBoost model for corrosion-rate prediction in alkylation unit piping Data-driven hybrid control for coordinated operation of multicolumn NGL separation systems Manifold-aware stationary subspace and divergence analysis for nonstationary process monitoring Generative learning for slow manifolds and bifurcation diagrams
×
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:604180095
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