首页> 外文期刊>E3S Web of Conferences >Grid-edge technology - Exploring the flexibility potential of a heat pump and thermal energy storage system
【24h】

Grid-edge technology - Exploring the flexibility potential of a heat pump and thermal energy storage system

机译:网格边缘技术-探索热泵和热能存储系统的灵活性潜力

获取原文

摘要

Grid-edge technologies (GET) enable and amplify the impact of three emerging energy system trends: electrification, decentralisation, and digitalisation. Smart grid integrated heat pumps with thermal energy storage enable both the electrification of heating and decentralised demand response. Such power-to-heat technologies simultaneously decarbonise heating and facilitate the grid integration of more variable renewable electricity in a cost-effective manner. This may help to explore and exploit untapped wind generation potential. This study explores the flexibility potential of a domestic scale heat pump with thermal energy storage in a typical Irish home in December. The system is simulated to investigate demand-side flexibility and sensitivity to both heat pump and thermal storage capacities for three days with wind energy shares of 7%, 25%, and 60%. Using real-time electricity prices and optimising for operational cost, the implicit demand flexibility potential is quantified with different combinations of heat pump power and storage capacity. The results suggest that 33-100% of critical loads can be shifted dynamically to low-cost periods. Optimised system design depends on local climate, heat demand profile, optimisation horizon, and the type of heat pump. Optimisation with genetic algorithm yielded near-global optimal results approximately 40 times faster than with exhaustive enumeration.
机译:网格边缘技术(GET)可实现并扩大三种新兴能源系统趋势的影响:电气化,分散化和数字化。具有热能存储功能的智能电网集成热泵既可以实现加热电气化,又可以分散需求响应。此类热电联产技术可同时降低加热的碳含量,并以经济高效的方式促进更多可变可再生电力的电网整合。这可能有助于探索和开发尚未开发的风力发电潜力。这项研究探索了12月在典型的爱尔兰家庭中具有储热能的家用规模热泵的灵活性潜力。对系统进行了仿真,以调查需求方的灵活性和对热泵和蓄热能力的敏感性,持续三天,风能份额分别为7%,25%和60%。使用实时电价并优化运营成本,可以通过热泵功率和存储容量的不同组合来量化隐含的需求灵活性潜力。结果表明,可以将33-100%的关键负载动态转移到低成本时段。优化的系统设计取决于当地的气候,热量需求曲线,优化范围以及热泵的类型。遗传算法的优化产生的近似全局最优结果比穷举枚举快约40倍。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号