DEVELOPING AND VALIDATING ENERGY MODELS FOR INDIRECT AND DIRECT EVAPORATIVE COOLING USED IN DATACENTERS

Abstract

In the present day to day life, Internet of things is everything, i.e., we need internet and telecommunication for almost every task of our life and these require data from data centers. These data centers provide various facilities like data processing, storage, and transmission, and maintenance, operations etc., for performing these tasks, a huge amount of power is consumed by the data center, which in turn generates large amount of heat. As these data centers are to be made operational throughout the year, cooling of data centers is of utmost importance. These cooling systems like air conditioners, economizers and evaporative cooling systems also require a considerable amount of power. Evaporative Cooling is one of the effective methods available for cooling data centers. Developing and validating a thermodynamical model for evaporative cooling used in data centers. Environmental data such as temperature, humidity etc., for a particular location is used for computing the cooling capacity and performance (PUE and water consumption) of the data centers. For the purpose of validation, the actual data from the existing evaporative cooling unit is compared to the computed data from our model. The type of evaporative cooling system suitable for particular environmental conditions can also be known from this model.