考虑实际建筑应用的光伏热泵与空气源热泵集成系统动力学分析

Soo-Kyu Chae, Sangmu Bae, Y. Nam
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摘要

随着可再生能源法规的加强和零能耗建筑的强制性,可再生能源用于供暖和制冷建筑的商业化研究正在加速。然而,地热、光伏和太阳能大多作为单一系统应用,很少有克服单个系统的缺点或最大限度地发挥优点的情况。本研究的目的是建立一个分析模型,可以稳定地响应建筑的冷热负荷和分析系统的性能。为了稳定冷却、加热和热水供应的控制,操作方法分为四个循环。在冷热负荷明显减少的季节,不使用储罐,直接由热泵供热制冷。此外,还进行了一个使用深夜电源的案例研究,以调查有效的用电情况。无夜间电源时,采暖期热泵性能系数(COP)为2.5,月平均热交换率(HER)为240 kWh;制冷期COP为3.99,HER为880 kWh。采暖期的能源自给率是制冷期的2.02倍。然而,由于使用深夜电源,供暖期间的电费和COP分别下降了2.5%和2.04%,制冷期间的COP增加了0.1%。该研究为可再生能源系统的实施和预测模型的设计提供了基础数据。
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Dynamic Analysis of the Integrated System using Photovoltaic-Thermal and Air Source Heat Pump Considering Real Building Application
As regulations on renewable energy are strengthened and zero-energy buildings are becoming mandatory, research on the commercialization of renewable energy for heating and cooling buildings is accelerating. However, geothermal, photovoltaic, and solar heat are mostly applied as single systems, and there are few cases in which the disadvantages of individual systems are overcome or where the advantages are maximized. The purpose of this study is to develop an analysis model that can respond stably to heating and cooling loads in buildings and to analyze system performance. To stabilize the control of cooling, heating, and hot water supply, the operation method is divided into four cycles. In seasons when cooling and heating loads are significantly decreased, heating and cooling are performed directly by the heat pump without using storage tanks. In addition, a case study using late-night power was conducted to investigate efficient electricity use. Without late-night power, the heat pump coefficient of performance (COP) during the heating period was 2.5 and the monthly average heat exchange rate (HER) was 240 kWh; meanwhile, the COP during the cooling period was 3.99 and the HER was 880 kWh. The energy self-sufficiency rate during the heating period was 2.02 times higher than the cooling period. However, as a result of using late-night power, the electricity rate and COP during heating decreased by 2.5% and 2.04%, respectively, and the COP during cooling increased by 0.1%. This study presents basic data for the implementation of renewable energy systems and the design of predictive models.
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