Mascherbauer Philipp, Schöniger Franziska, Kranzl Lukas, Yu Songmin
Energy Economics Group, Technische Universität Wien, Vienna, Vienna, 1040, Austria.
Fraunhofer Institute for Systems and Innovation Research, Karlsruhe, 76139, Germany.
Open Res Eur. 2022 Dec 7;2:135. doi: 10.12688/openreseurope.15268.1. eCollection 2022.
Residential buildings with heat pumps show promising possibilities for demand-side management. The operation optimization of such heating systems can lead to cost reduction and, at the same time, change electricity consumption patterns, which is especially prevalent in the case of a variable price signal. In this work, we deal with the following question: How does the volatility of a variable retail electricity price change the energy consumption of buildings with a smart energy management system? In this context, we take Austria as an example and aggregate the findings of individual households to the national stock of single-family houses. This is done by simulating and optimzing heating operation in single representative buildings. The aggregation is done based on national building information statistics. This part of the Austrian building stock could shift 19.7 GWh of electricity per year through thermal inertia using a real-time electricity price from 2021. We show the future potential under the assumption of three electricity price trends for 2030, representing different decarbonisation ambition levels. The trends show that higher decarbonisation levels which lead to higher electricity prices increase the incentive to shift electric loads. Real time pricing turns out to be an effective incentive for buildings to shift electric loads by pre-heating the building mass. However, cost savings for individuals are relatively low which is why additional monetary incentives are needed to tap into that potential. Increased daily peak-to-peak demand from these buildings has to put into perspective to the overall grid load.
配备热泵的住宅建筑在需求侧管理方面展现出了广阔的前景。此类供热系统的运行优化能够降低成本,同时改变电力消费模式,在电价信号可变的情况下尤为普遍。在这项研究中,我们探讨以下问题:可变零售电价的波动如何影响配备智能能源管理系统的建筑的能源消耗?在此背景下,我们以奥地利为例,将单个家庭的研究结果汇总至全国独栋房屋存量。这是通过模拟和优化单个代表性建筑的供热运行来实现的。汇总基于国家建筑信息统计数据进行。奥地利这部分建筑存量若采用2021年的实时电价,每年可通过热惯性转移19.7吉瓦时的电力。我们展示了在假设2030年三种电价趋势的情况下的未来潜力,这三种趋势代表了不同的脱碳目标水平。趋势表明,更高的脱碳水平导致更高的电价,会增加转移电力负荷的动机。事实证明,实时定价是促使建筑通过预热建筑围护结构来转移电力负荷的有效激励措施。然而,个人的成本节约相对较低,这就是为什么需要额外的货币激励来挖掘这一潜力。这些建筑每日峰谷需求的增加必须与整个电网负荷相权衡。