基于随机模型控制的电热热水器蓄能潜力评估

IF 2.1 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES
Baxter Williams, Daniel Bishop, Paul Docherty
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引用次数: 1

摘要

由于电热水缸具有较大的储热容量,因此非常适合于需求侧管理(DSM)。本文比较了HWC温度控制的不同方法,并根据不同家庭类型的使用行为,提出了一种评估HWC需求侧管理可用储热量的方法。采用简单的生活热水(DHW)需求预测随机方法设计了一种智能控制器,与设定点控制器和纹波控制器相比,该控制器产生更低的生活热水需求未满足率和更高的可用存储。通过使用这种智能控制器,帝斯曼可以获得的平均存储预计在每户3.63至7.20千瓦时之间。这些结果表明,对于电力系统负荷的调峰,使用HWCs进行储热是一种低成本可行的选择,并且可以减少电力系统温室气体(GHG)的排放,例如在新西兰的Aotearoa等国家,温室气体排放发电主要用于满足峰值负荷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the energy storage potential of electric hot water cylinders with stochastic model-based control
As electric hot water cylinders (HWCs) have a large capacity for thermal storage, they are well-suited for Demand Side Management (DSM). This paper compares different methods of HWC temperature control and presents a methodology to assess the amount of thermal storage available in HWCs for demand side management based on use behaviour in different household types. Simple stochastic methods for domestic hot water (DHW) demand prediction were employed to design a smart controller that produced lower rates of unmet DHW demand and higher available storage than setpoint and ripple controllers. The average storage available for DSM from the use of this smart controller is predicted to be between 3.63 and 7.20 kWh per household. These results indicate the use of HWCs for thermal storage is a low-cost viable option for peak-shaving of power system load and could decrease power system greenhouse gas (GHG) emissions in countries such as Aotearoa New Zealand, where GHG-emitting electricity generation is primarily used to meet peak loads.
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来源期刊
Journal of the Royal Society of New Zealand
Journal of the Royal Society of New Zealand 综合性期刊-综合性期刊
CiteScore
4.60
自引率
0.00%
发文量
74
审稿时长
3 months
期刊介绍: Aims: The Journal of the Royal Society of New Zealand reflects the role of Royal Society Te Aparangi in fostering research and debate across natural sciences, social sciences, and the humanities in New Zealand/Aotearoa and the surrounding Pacific. Research published in Journal of the Royal Society of New Zealand advances scientific knowledge, informs government policy, public awareness and broader society, and is read by researchers worldwide.
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