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design is above 1.7, whereas the monthly PUE values with the HTEES are averaging a value lower than 1.6, regardless of OA conditions. Fig. 8 outlines that the PUE can be improved from 12% to 27% by the proposed system, under the given operating conditions. IV. DISCUSSIONS A. Implementation and Outcomes of Onsite Monitoring The HTEES was designed with energy efficiency and sustainability in mind, setting it up to be 47% more efficient for cooling than typical datacenters, and from 10% to 23% more efficient than state-of-the-art facilities operating today. Almost 80% of the energy is going directly to its core purpose. Ramp up and ramp down of the equipment are reduced and the Supply and Return process temperatures are stabilized. To summarize, the Measured Operational Cost Savings and other benefits of using an HTEES in the field are as follows: • Peak shaving of up to almost 1000 kW • Reduction of 13 % in the yearly overall electric consumption (35% reduction for cooling) • 2 GWH/year and 0.8 MW average load leveling. Other applications of the HTEES include industrial plants and hospitals that need electric and thermal energy. In such critical processes, a significant portion of the fluctuations in the load is taken by the HTEES. The SPCM is acting as a shock absorber in the thermal process. With the HTEES, the PUE index is designed to stay under 1.5 as much as possible. This means that less than 20% of the energy for the entire complex will go to functions outside of the computing itself. Typical modern datacenters have a PUE index around 1.7 to 1.8, with many facilities operating at 2.0. The HTEES hybridization not only helps the end-user/operator, but also the energy provider; the utility itself unlocking on-peak power for other use. In addition, the data can already allow for an evaluation of the Return on Investment of such an implementation. The simple Payback is ranging from 2.8 to 4.2 years, while the Net Present Value (NPV) is averaged to $2.7M over 10 years (with an average 4% discount rate extrapolated over the period). Longterm data collection (for more than a decade) would be required to allow for an even more accurate value of the NPV or of the life cycle costs (LCC) since the Lifespan of such a system is estimated to be around 20 to 25 years. From the extensive monitoring, many items can be outlined for the stakeholders: The end-user or the facility manager: • Reduces peak loads (kW) and energy consumption (kWh) • Allows for better energy efficiency, incremental peak shaving, and boosted free cooling • Minimizes equipment Stops and Starts, Overdesign, and Part Loads • Improves the PUE, reducing the total power, consumed by a datacenter, to get closer to the power consumed by the IT equipment of the facility. The utility or the smart-grid operator: • Smooth load profile optimization • Demand-side management • Redundant and predictable energy distribution. • Lower energy consumption and transmission losses • Lower operating costs and improved asset utilization • Deferred construction and capital expenditure requirements. The energy storage industry has just begun exploring grid- scale hybrid solutions that combine two or more energy storage technologies with complementary characteristics to provide an optimal solution not achievable by any one technology. The implementation and monitoring that were achieved here are a good example of the potential of such a strategy. The tested systems include storage technologies that separately cover sprinter loads required for fast response or marathon loads required for peak shaving and load shifting. By combining two technologies, the HTEES makes this issue much less of a concern. In addition, the hybrid system has demonstrated that it could simultaneously provide multiple services that allow for two value streams concurrently. V. CONCLUSION The project has shown that the integration of Electric and Thermal components in the HTEES allows for saving electricity and surviving power failure. The outcomes of the HTEES was highlighted by the monitoring, including onsite operational data, PUE, reliability, and performance. Monitoring in a datacenter has shown that optimum results are obtained when initial fluctuating conditions were observed. Improved performance and stability were measured and have shown that ramp up and ramp down of the equipment are reduced and the Supply and Return process temperatures are stabilized. With the HTEES, the PUE index would stay under 1.5, starting from value up to 2.0. This means that less than 20% of the energy for the entire complex will go to functions outside of computing, while the cooling consumption is reduced by more than 35%. It is also allowing to reduce the size of the generator or other backup power. The same hybrid approach merits exploration for providing stationary energy storage solutions for other applications. The combined systems, properly controlled,PDF Image | Hybrid Thermal and Electric and Energy Storage System
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