通过基于随机模型的控制来评估电热水瓶的储能潜力
Baxter Williams1, Daniel Bishop2, Paul Docherty1
1Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Journal of the Royal Society of New Zealand
|October 23, 2024
概括
电热水 (HWC) 为需求侧管理 (DSM) 提供了重要的热储量. 一个新的智能控制器最大限度地利用可用的存储 (3.637.20千瓦时) 并减少未满足的家庭热水需求.
科学领域:
- 能源系统工程 能源系统工程
- 电气工程 电气工程
- 可持续能源 可持续能源
背景情况:
- 电热水瓶 (HWC) 具有相当大的热储容量,使其适合需求侧管理 (DSM).
- 有效的控制策略对于优化HWC热储利用在住宅环境中至关重要.
- 评估可用的热储需要了解各种家庭类型的家庭热水 (DHW) 需求模式.
研究的目的:
- 为了比较用于DSM应用的各种HWC温度控制方法.
- 根据家庭使用情况,开发一种方法来量化HWC中的热储潜力.
- 设计和评估一个智能控制器,以提高DSM性能.
主要方法:
- 随机方法用于家庭热水 (DHW) 需求预测.
- 一个智能控制器旨在优化HWC温度调节.
- 通过比较未满足的DHW需求和可用的热储与设定点和波纹控制器来评估性能.
主要成果:
- 与传统控制器相比,智能控制器的未满足DHW需求率较低.
- 每个家庭的DSM平均可用存储量从3.63到7.20千瓦时不等.
- 该研究量化了基于典型使用的DSMHWC的热储容量.
结论:
- 高温水库是电网中热能存储的低成本,可行的选择.
- 实施智能HWC控制器可以有效地帮助减少峰值负载 (峰值剃须).
- 优化HWC使用可以减少温室气体 (GHG) 排放,特别是在依赖化石燃料生产电力的地区.
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