燃煤电厂生产决策中的最佳碳排放研究

Yadong Dou, Xiaolong Zhang, Ling Chen
{"title":"燃煤电厂生产决策中的最佳碳排放研究","authors":"Yadong Dou, Xiaolong Zhang, Ling Chen","doi":"10.1108/ijesm-07-2023-0019","DOIUrl":null,"url":null,"abstract":"Purpose The coal-fired power plants have been confronted with new operation challenge since the unified carbon trading market was launched in China. To make the optimal decision for the carbon emissions and power production has already been an important subject for the plants. Most of the previous studies only considered the market prices of electricity and coal to optimize the generation plan. However, with the opening of the carbon trading market, carbon emission has become a restrictive factor for power generation. By introducing the carbon-reduction target in the production decision, this study aims to achieve both the environmental and economic benefits for the coal-fired power plants to positively deal with the operational pressure. Design/methodology/approach A dynamic optimization approach with both long- and short-term decisions was proposed in this study to control the carbon emissions and power production. First, the operation rules of carbon, electricity and coal markets are analyzed, and a two-step decision-making algorithm for annual and weekly production is presented. Second, a production profit model based on engineering constraints is established, and a greedy heuristics algorithm is applied in the Gurobi solver to obtain the amounts of weekly carbon emission, power generation and coal purchasing. Finally, an example analysis is carried out with five generators of a coal-fired power plant for illustration. Findings The results show that the joint information of the multiple markets of carbon, electricity and coal determines the real profitability of power production, which can assist the plants to optimize their production and increase the profits. The case analyses demonstrate that the carbon emission is reduced by 2.89% according to the authors’ method, while the annual profit is improved by 1.55%. Practical implications As an important power producer and high carbon emitter, coal-fired power plants should actively participate in the carbon market. Rather than trade blindly at the end of the agreement period, they should deeply associate the prices of carbon, electricity and coal together and realize optimal management of carbon emission and production decision efficiently. Originality/value This paper offers an effective method for the coal-fired power plant, which is struggling to survive, to manage its carbon emission and power production optimally.","PeriodicalId":46430,"journal":{"name":"International Journal of Energy Sector Management","volume":"325 5","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on optimal carbon emissions in the production decision of the coal-fired power plant\",\"authors\":\"Yadong Dou, Xiaolong Zhang, Ling Chen\",\"doi\":\"10.1108/ijesm-07-2023-0019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose The coal-fired power plants have been confronted with new operation challenge since the unified carbon trading market was launched in China. To make the optimal decision for the carbon emissions and power production has already been an important subject for the plants. Most of the previous studies only considered the market prices of electricity and coal to optimize the generation plan. However, with the opening of the carbon trading market, carbon emission has become a restrictive factor for power generation. By introducing the carbon-reduction target in the production decision, this study aims to achieve both the environmental and economic benefits for the coal-fired power plants to positively deal with the operational pressure. Design/methodology/approach A dynamic optimization approach with both long- and short-term decisions was proposed in this study to control the carbon emissions and power production. First, the operation rules of carbon, electricity and coal markets are analyzed, and a two-step decision-making algorithm for annual and weekly production is presented. Second, a production profit model based on engineering constraints is established, and a greedy heuristics algorithm is applied in the Gurobi solver to obtain the amounts of weekly carbon emission, power generation and coal purchasing. Finally, an example analysis is carried out with five generators of a coal-fired power plant for illustration. Findings The results show that the joint information of the multiple markets of carbon, electricity and coal determines the real profitability of power production, which can assist the plants to optimize their production and increase the profits. The case analyses demonstrate that the carbon emission is reduced by 2.89% according to the authors’ method, while the annual profit is improved by 1.55%. Practical implications As an important power producer and high carbon emitter, coal-fired power plants should actively participate in the carbon market. Rather than trade blindly at the end of the agreement period, they should deeply associate the prices of carbon, electricity and coal together and realize optimal management of carbon emission and production decision efficiently. Originality/value This paper offers an effective method for the coal-fired power plant, which is struggling to survive, to manage its carbon emission and power production optimally.\",\"PeriodicalId\":46430,\"journal\":{\"name\":\"International Journal of Energy Sector Management\",\"volume\":\"325 5\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2023-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Energy Sector Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/ijesm-07-2023-0019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Energy Sector Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijesm-07-2023-0019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0

摘要

目的 自中国启动统一碳交易市场以来,燃煤电厂面临着新的运营挑战。如何在碳排放和发电量之间做出最优决策已成为燃煤电厂面临的重要课题。以往的研究大多只考虑电力和煤炭的市场价格来优化发电计划。然而,随着碳交易市场的开放,碳排放已成为发电的限制因素。本研究通过在生产决策中引入碳减排目标,实现燃煤电厂环境效益和经济效益的双赢,积极应对运营压力。 设计/方法/途径 本研究提出了一种既有长期决策又有短期决策的动态优化方法,以控制碳排放和发电量。首先,分析了碳市场、电力市场和煤炭市场的运行规律,提出了年产量和周产量的两步决策算法。其次,建立了基于工程约束条件的生产利润模型,并在 Gurobi 求解器中应用贪婪启发式算法,得出每周的碳排放、发电量和煤炭采购量。最后,以某火力发电厂的五台发电机为例进行了分析说明。 研究结果 研究结果表明,碳、电力和煤炭等多个市场的联合信息决定了电力生产的实际盈利能力,可以帮助发电厂优化生产,增加利润。案例分析表明,根据作者的方法,碳排放量减少了 2.89%,而年利润提高了 1.55%。 实践意义 燃煤电厂作为重要的发电企业和高碳排放企业,应积极参与碳市场。与其在协议期末盲目交易,不如将碳、电、煤三者的价格深度关联,有效实现碳排放和生产决策的优化管理。 独创性/价值 本文为生存艰难的燃煤电厂提供了优化管理碳排放和电力生产的有效方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Research on optimal carbon emissions in the production decision of the coal-fired power plant
Purpose The coal-fired power plants have been confronted with new operation challenge since the unified carbon trading market was launched in China. To make the optimal decision for the carbon emissions and power production has already been an important subject for the plants. Most of the previous studies only considered the market prices of electricity and coal to optimize the generation plan. However, with the opening of the carbon trading market, carbon emission has become a restrictive factor for power generation. By introducing the carbon-reduction target in the production decision, this study aims to achieve both the environmental and economic benefits for the coal-fired power plants to positively deal with the operational pressure. Design/methodology/approach A dynamic optimization approach with both long- and short-term decisions was proposed in this study to control the carbon emissions and power production. First, the operation rules of carbon, electricity and coal markets are analyzed, and a two-step decision-making algorithm for annual and weekly production is presented. Second, a production profit model based on engineering constraints is established, and a greedy heuristics algorithm is applied in the Gurobi solver to obtain the amounts of weekly carbon emission, power generation and coal purchasing. Finally, an example analysis is carried out with five generators of a coal-fired power plant for illustration. Findings The results show that the joint information of the multiple markets of carbon, electricity and coal determines the real profitability of power production, which can assist the plants to optimize their production and increase the profits. The case analyses demonstrate that the carbon emission is reduced by 2.89% according to the authors’ method, while the annual profit is improved by 1.55%. Practical implications As an important power producer and high carbon emitter, coal-fired power plants should actively participate in the carbon market. Rather than trade blindly at the end of the agreement period, they should deeply associate the prices of carbon, electricity and coal together and realize optimal management of carbon emission and production decision efficiently. Originality/value This paper offers an effective method for the coal-fired power plant, which is struggling to survive, to manage its carbon emission and power production optimally.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.80
自引率
22.60%
发文量
63
期刊介绍: The International Journal of Energy Sector Management aims to facilitate dissemination of research on issues relating to supply management (covering the entire supply chain of resource finding, extraction, production, treatment, conversion, transportation, distribution and retail supply), demand and usage management, waste management, customer and other stakeholder management, and solutions thereto. The journal covers all forms of energy (non-renewable and renewable), forms of supply (centralised or decentralised), ownership patterns (public or private, cooperative, joint, or any other), market structures (formal, informal, integrated, disintegrated, national, international, local, etc.) and degress of commoditisation (e.g. internationally traded, regionally traded, non-traded, etc.). The journal aims to cover a wide range of subjects relevant to the management of the energy sector, including but not limited to: Management of scarce resources (economic, financial, human and natural), projects, activities and concerns (e.g. regulatory, social and environmental aspects), technologies and knowledge Business strategy, policy and planning as well as decision support systems for energy sector management Business organisation, structure and environment, and changes thereto Globalisation and multi-cultural management Management of innovation, change and transition.
期刊最新文献
Research on optimal carbon emissions in the production decision of the coal-fired power plant Examining the consumption of oil on total factor productivity and CO2 emissions: an analysis of highly oil-consuming countries Factors influencing purchase intention towards energy efficient air conditioners: a study of Indian households Functional view and technological progress of a sociotechnical system: illustrated with an interventionist state Energy, gender and development: the impact of energy efficient cookstoves intervention on the welfare of women in Ethiopia
×
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