首页> 外文会议>IEEE EUROCON 2013 >Optimization of electric energy consumption operating costs in cooling technique by establishing a remote central control system, exploiting thermal capacity and load shifting
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Optimization of electric energy consumption operating costs in cooling technique by establishing a remote central control system, exploiting thermal capacity and load shifting

机译:通过建立远程中央控制系统,利用热容量和负载转移来优化冷却技术中的电能消耗运营​​成本

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Shopping centers consume a large amount of electric energy and it is generally confirmed their cooling systems are of highest share. This paper investigates and proposes an integrated approach of how to achieve and enlarge economic savings in refrigeration systems by exploiting thermal capacity of the stored goods. Goods are able to store energy in the form of cold and later reactivate it, which enables time shifting. In terms of costs, taking into account the daily electric price fluctuations the optimization is the most efficient when time period of storing the energy coincides with the time period of the lowest energy price in a day and vice versa, when time period of reactivation of the previously stored energy starts when the electric energy price jumps to its highest value. The paper presents an optimization algorithm that is to be implemented on a central control management system established to control the operation of each shopping center and of each individual cooling unit from which it collects parameters and data that is further on used to calculate the following actions. The scheme of such system and an optimization algorithm are suggested. Actual values are used in simulation, thermal losses are taken into account and simulation results indicate a significant 9.34 % decrease in electric energy consumption costs.
机译:购物中心消耗大量电能,通常可以确认其制冷系统占有最大份额。本文研究并提出了一种综合方法,该方法通过利用存储货物的热容量来实现和扩大制冷系统的经济节省。货物能够以冷的形式存储能量,然后再将其重新激活,从而实现了时移。就成本而言,考虑到每日的电价波动,当能量存储的时间段与一天中最低能源价格的时间段重合时,优化是最有效的,反之亦然。当电能价格跃升至最高价时,先前存储的能量开始。本文提出了一种优化算法,该算法将在中央控制管理系统上实施,建立该系统以控制每个购物中心和每个单独的制冷单元的运行,并从中收集参数和数据,并进一步用于计算以下操作。提出了这种系统的方案和优化算法。仿真中使用了实际值,考虑了热损失,仿真结果表明电能消耗成本显着降低了9.34%。

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