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现行 4564(RP-1154)
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Strategies for Operating Refrigerated Warehouse Under Real-Time Pricing 实时定价下的冷藏库运营策略
储能介质的可用性使制冷系统的运行与制冷负荷分离。在冷库中,储存的产品本身有可能用作储能介质。通过在低电价时段对储存的产品进行预冷,可以在高电价时段闲置或“浮动”制冷系统。电力使用向低成本阶段的转变有可能节省制冷系统的运行成本。 RP-1154的主要目的是研究在实时定价结构下,将冷藏仓库中的产品用作热能存储介质以最小化制冷系统能源成本的技术和经济可行性。在本文中,我们提出了一种简单的方法,可以预测每天改变制冷系统运行的需求是否会节省运行成本。该方法包括根据第二天的外部空气温度预测最大允许漂浮持续时间,并确定产生最大运营成本节约的漂浮期。 一个简单的价格比标准被认为是通过需求转移节约能源成本的一个很好的指标。对于所分析的公用设施数据和冷藏仓库案例,与年度制冷系统运营成本相比,通过需求转移节省的运营成本相对较小。安装额外的制冷容量,预计可节省7%至11%的费用。对于在白天和夜间之间价格波动较大的公用事业数据,可以实现更大的成本节约。单位: 双引:阿什雷交易,第108卷,第。2
The availability of an energy storage medium allows the refrigeration system operation to be decoupled from the refrigeration loads. In cold storage warehouses, the stored products themselves have the potential for use as an energy storage medium. By precooling the stored products during hours of low electricity prices, it is possible to idle or "float" the refrigeration system during periods of high electricity prices. The shift in electrical usage to low-cost periods has the potential of yielding refrigeration system operating cost savings. The primary thrust of RP-1154 was to investigate the technical and economic feasibility of utilizing products in refrigerated warehouses as thermal energy storage media to minimize refrigeration system energy costs under real-time pricing rate structures.In this paper, we present a simple method that forecasts whether or not demand shifting the refrigeration system operation on a daily basis results in operating cost savings. The method includes predicting the maximum allowable floating duration based on the outside air temperatures for the next day and establishing the floating period that yields the greatest operating cost savings. A simple price ratio criterion was found to be a good indicator of energy cost savings by demand shifting.For the utility data and cold storage warehouse cases analyzed, operating cost savings through demand shifting are relatively small compared to the annual refrigeration system operating cost. Installation of additional refrigeration capacity results in projected savings in the range of 7% to 11%. Greater cost savings are possible for utility data that have large price excursions between daytime and nighttime.Units: Dual
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