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such as impact on long term system reliability, effect on server performance, effect on server energy consumption and higher fan speeds. There is vast discrepancy in the results documented by various research on increased temperature on the system reliability. Nosayba et al.(2012) conducted a study on more than a dozen data centers at different organizations and discussed their observations. According to the research, the effect of high data center temperature on reliability might not be as prominent. Various factors determine failure of equipment and the previous temeperature correlation such as the Arrhenius model does not take the other factors into consideration. The research further discusses that a bigger issue with increasing data center temperature is increase in power consumption of individual servers. This increase in power consumption is caused by power leakage in the processor and increased server internal fan speeds. Further research needs to be concentrated on designing algorithms for fan speeds accurately as they make up for a significant fraction of total energy consumption. 3.4. Energy Savings with Daily Thermal Storage On close examination of the heating load profile, it is realized that the heating load is low till 8:00 am. The heating load depends on the occupancy and peaks from 8:00 am until 10:00 pm. After which the load reduces again. To meet the peak load during the day, the system can be operated during the night at higher pressures than required until 8:00 am. The extra heat energy can be stored and then used to meet the peak load during the day. This is represented in Figure 3-8. The orange line indicates the heating provided by the CO2 system. Whereas, the red line indicates the actual heating load of the building on a cold winter day. The shaded area represents the scope of recovery of heat stored during the night which can be liberated during the peak hours. Storage of thermal energy from the waste heat can reduce the power consumption and decrease the CO2 emissions and lower the need for costly peak power and heat production capacity. This also 33PDF Image | CO2 HEAT PUMPS FOR COMMERCIAL BUILDING APPLICATIONS
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