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A Review on Correlating Gas District Cooling (GDC) Model with Data Center (DC) Operation for Environmental and Economic Performance

机译:数据中心(DC)运作与环境和经济绩效相关的气体区冷却(GDC)模型综述

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Abstract This study is a review in finding correlation between supply of chilled water and energy from Gas District Cooling (GDC) model with cooling and energy demand from Data Center (DC) operations. The architecture is called GDC-DC. This architecture was introduced by Hitachi Research in Universiti Teknologi PETRONAS (UTP) as UTP's GDC houses the campus region (academic buildings, chancellor complex and mosque) with electrical energy and chilled water for air conditioners. Based on review from previous research on GDC-DC operations in UTP, the current GDC-DC operations is not meeting the real-time job requirements and energy requirements by DC. Apart from that, DC configurations are inappropriate and non-optimized thus, increasing the power usage of DC and cooling demand. This will contribute to high operational cost on DC and carbon footprint issue due to rise of higher power generation. Eventually affecting the environment and economic performance of GDC-DC. Therefore, this paper aims to find the best real-time scheduling algorithm in DC that will contribute to an optimized DC which will affect the cooling demand. A review is done to help finding the relevant real-time job schedulers which will further to be deployed in the DC model from UTP.
机译:摘要本研究是从数据中心(DC)操作的冷却和能量需求,在煤气区冷却(GDC)模型中发现冷却水和能量供应与能量需求之间的相关性的综述。该体系结构称为GDC-DC。该架构是由Hitachi Research在Teknologi Petronali(UTP)的研究中引入,因为UTP的GDC在校园区(学术建筑,校长综合体和清真寺)拥有电能和空调的冷水。根据先前研究UTP的GDC-DC操作研究,目前的GDC-DC操作不符合DC的实时工作要求和能源要求。除此之外,DC配置是不合适的,因此不恰当,因此增加了直流和冷却需求的功率使用。由于高发电的升高,这将有助于对DC和碳足迹问题的高运营成本。最终影响GDC-DC的环境和经济性能。因此,本文旨在在DC中找到最佳实时调度算法,该算法将有助于优化的DC,这将影响冷却需求。完成审查是为了帮助找到相关的实时作业调度程序,这些计划将进一步从UTP部署在DC模型中。

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