Arrowhead compliant virtual market of energy

L. Ferreira, Laurynas Siksnys, P. Pedersen, Petr Stluka, C. Chrysoulas, Thibaut Le Guilly, M. Albano, A. Skou, César Teixeira, T. Pedersen
{"title":"Arrowhead compliant virtual market of energy","authors":"L. Ferreira, Laurynas Siksnys, P. Pedersen, Petr Stluka, C. Chrysoulas, Thibaut Le Guilly, M. Albano, A. Skou, César Teixeira, T. Pedersen","doi":"10.1109/ETFA.2014.7005193","DOIUrl":null,"url":null,"abstract":"Industrial processes use energy to transform raw materials and intermediate goods into final products. Many efforts have been done on the minimization of energy costs in industrial plants. Apart from working on “how” an industrial process is implemented, it is possible to reduce the energy costs by focusing on “when” it is performed. Although, some manufacturing plants (e.g. refining or petrochemical plants) can be inflexible with respect to time due to interdependencies in processes that must be respected for performance and safety reasons, there are other industrial segments, such as alumina plants or discrete manufacturing, with more degrees of flexibility. These manufacturing plants can consider a more flexible scheduling of the most energy-intensive processes in response to dynamic prices and overall condition of the electricity market. In this scenario, requests for energy can be encoded by means of a formal structure called flex-offers, then aggregated (joining several flex-offers into a bigger one) and sent to the market, scheduled, disaggregated and transformed into consumption plans, and eventually, into production schedules for given industrial plant. In this paper, we describe the flex-offer concept and how it can be applied to industrial and home automation scenarios. The architecture proposed in this paper aims to be adaptable to multiples scenarios (industrial, home and building automation, etc.), thus providing the foundations for different concept implementations using multiple technologies or supporting various kinds of devices.","PeriodicalId":20477,"journal":{"name":"Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)","volume":"14 1","pages":"1-8"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2014.7005193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25

Abstract

Industrial processes use energy to transform raw materials and intermediate goods into final products. Many efforts have been done on the minimization of energy costs in industrial plants. Apart from working on “how” an industrial process is implemented, it is possible to reduce the energy costs by focusing on “when” it is performed. Although, some manufacturing plants (e.g. refining or petrochemical plants) can be inflexible with respect to time due to interdependencies in processes that must be respected for performance and safety reasons, there are other industrial segments, such as alumina plants or discrete manufacturing, with more degrees of flexibility. These manufacturing plants can consider a more flexible scheduling of the most energy-intensive processes in response to dynamic prices and overall condition of the electricity market. In this scenario, requests for energy can be encoded by means of a formal structure called flex-offers, then aggregated (joining several flex-offers into a bigger one) and sent to the market, scheduled, disaggregated and transformed into consumption plans, and eventually, into production schedules for given industrial plant. In this paper, we describe the flex-offer concept and how it can be applied to industrial and home automation scenarios. The architecture proposed in this paper aims to be adaptable to multiples scenarios (industrial, home and building automation, etc.), thus providing the foundations for different concept implementations using multiple technologies or supporting various kinds of devices.
箭头兼容的虚拟能源市场
工业过程使用能源将原材料和中间产品转化为最终产品。为了尽量减少工业工厂的能源成本,已经做了许多努力。除了研究工业流程“如何”实施之外,还可以通过关注“何时”执行来降低能源成本。虽然,一些制造工厂(例如炼油或石化工厂)在时间方面可能不灵活,因为必须尊重性能和安全原因的过程中的相互依赖关系,但还有其他工业部门,如氧化铝工厂或离散制造,具有更多程度的灵活性。这些制造工厂可以考虑更灵活地调度最能源密集型的过程,以响应动态价格和电力市场的整体状况。在此场景中,能源请求可以通过称为灵活报价的正式结构进行编码,然后聚合(将多个灵活报价合并为一个更大的报价)并发送到市场,进行调度,分解并转换为消费计划,并最终转换为给定工厂的生产计划。在本文中,我们描述了灵活报价的概念以及如何将其应用于工业和家庭自动化场景。本文提出的架构旨在适应多种场景(工业、家庭和楼宇自动化等),从而为使用多种技术或支持各种设备的不同概念实现提供基础。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信