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Optimizing for clean-heating improvements in a district energy system with high penetration of wind power

机译:优化风能渗透率高的区域能源系统中的清洁供热

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摘要

Strong interdependence of heat and power generation makes most existing power grids in northern China unfriendly to wind energy. However, wind energy has increased significantly in the past 15 years. Furthermore, most areas in northern China suffer from severe air pollution in winter, which is caused by the substandard emissions from coal-fired heat generators. Therefore, introducing power-to-heat devices and thermal energy storage (TES) system to the existing district energy system (DES) is an effective way to improve wind power integration, reduce operating costs, and bring considerable economic benefits. In order to determine the optimal configurations of additional power-to-heat devices and TES system, a novel two-layer economic optimization model has been proposed. In the outer layer of such model, the annual net profit (ANP) of each clean-heating project is calculated by introducing a traditional economic dispatch model. Regarding the outer layer, the solution space of varied clean-heating schemes is searched globally by the Genetic Algorithms. Results show that both introducing power-to-heat devices and TES equipment possess the highest economic potential. From the economical aspect, it is not necessary to integrate all available wind energy; thus, wind curtailments still exist after conducting the optimal clean-heating improvements. (C) 2019 Elsevier Ltd. All rights reserved.
机译:热力和发电的相互依存关系使得中国北方大多数现有电网对风能不友好。但是,过去15年中,风能显着增加。此外,由于燃煤热发生器排放不合格,中国北方大部分地区冬季空气污染严重。因此,在现有的区域能源系统(DES)中引入电热装置和热能存储(TES)系统是提高风力发电集成度,降低运营成本并带来可观经济效益的有效途径。为了确定附加的热电设备和TES系统的最佳配置,提出了一种新颖的两层经济优化模型。在这种模型的外层,通过引入传统的经济调度模型来计算每个清洁供热项目的年净利润(ANP)。关于外层,通过遗传算法全局搜索各种清洁加热方案的解空间。结果表明,引入电热装置和TES设备都具有最高的经济潜力。从经济的角度来看,没有必要整合所有可用的风能。因此,在进行最佳的清洁加热改进后,仍然存在限风措施。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Energy》 |2019年第15期|1085-1099|共15页
  • 作者单位

    Harbin Inst Technol, Sch Architecture, Harbin 150090, Heilongjiang, Peoples R China|Minist Ind & Informat Technol, Key Lab Cold Reg Urban & Rural Human Settlement E, Harbin 150090, Heilongjiang, Peoples R China|Univ Queensland, Sch Mech & Min Engn, Queensland Geothermal Energy Ctr Excellence, Brisbane, Qld 4072, Australia;

    Harbin Inst Technol, Sch Architecture, Harbin 150090, Heilongjiang, Peoples R China|Minist Ind & Informat Technol, Key Lab Cold Reg Urban & Rural Human Settlement E, Harbin 150090, Heilongjiang, Peoples R China;

    Harbin Inst Technol, Sch Architecture, Harbin 150090, Heilongjiang, Peoples R China|Minist Ind & Informat Technol, Key Lab Cold Reg Urban & Rural Human Settlement E, Harbin 150090, Heilongjiang, Peoples R China;

    Harbin Inst Technol, Sch Architecture, Harbin 150090, Heilongjiang, Peoples R China|Minist Ind & Informat Technol, Key Lab Cold Reg Urban & Rural Human Settlement E, Harbin 150090, Heilongjiang, Peoples R China;

    Univ Queensland, Sch Mech & Min Engn, Queensland Geothermal Energy Ctr Excellence, Brisbane, Qld 4072, Australia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Optimal configurations; Wind power integration; Genetic optimization; Exhaust heat recovery; Thermal energy storage; Clean-heating improvements;

    机译:最佳配置;风力发电集成;遗传优化;废热回收;热能存储;清洁加热;

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