Higher Ambient Data Center Temperatures Reduce Costs
As a pioneering IT enabler and technology driver, Intel’s objective was to demonstrate to clients that the modern data center operating environment does not require the level of cooling traditionally thought necessary to guarantee reliable performance. Given the significant energy cost and capital expense associated with cooling technology, there would be considerable potential for dramatically reducing TCO by designing and building data center facilities that run at a higher ambient temperature.
Demonstrating the validity of this approach required an accurate and straightforward way to scientifically prove how TCO could be reduced without business risk or compromising IT performance. Intel needed a dependable solution that would rapidly allow a detailed assessment of the entire data center environment under varying workloads and conditions, holistically and at an individual component level.
IntelIntel designs, manufactures, and sells integrated digital technology platforms worldwide. The company's platforms are used in various computing applications comprising notebooks, desktops, servers, tablets, smartphones, wireless and wired connectivity products, wearables, transportation systems, and retail devices. It offers microprocessors that processes system data and controls other devices in the system; chipsets, which send data between the microprocessor and input, display, and storage devices, such as keyboard, mouse, monitor, hard drive or solid-state drive, and optical disc drives; system-on-chip products that integrate its central processing units with other system components onto a single chip; and wired network connectivity products.Featured Subsidiaries/ Business Units:- Intel Inside- Intel Data Center Manager (DCM)- Saffron Technology- Wind River
Construction & Buildings
Romonet provides predictive analytics software and services for the data center. It is the only cloud-based solution to provide data on a facility’s entire lifecycle. This financial, environmental/CSR and operational information increases profitability, reduces risk and improves decision-making.
- CONNECTIVITY PROTOCOLS
Using Romonet Software Suite, Intel was able to complete a capability assessment including rapidly and accurately evaluating the impact of changing a wide variety of variables and predicting the effect on cost, capacity, energy efficiency, equipment performance, and risk throughout the entire data center life cycle.
Romonet Software Suite has provided Intel with the facts their clients need to make informed decisions about designing, planning and operating more efficient data centers by demonstrating how TCO can be reduced without business risk.
- DATA COLLECTED
Energy Consumption Rate, Facility Health Status, Facility Management, Temperature, Total Effective Equipment Performance (TEEP)
- SOLUTION TYPE
- SOLUTION MATURITY
Mature (technology has been on the market for > 5 years)
- OPERATIONAL IMPACT
Romonet Software Suite is able to model and predict energy usage, capacity, asset utilization and cost over time against a wide range of changing variables.
For Intel’s clients, Romonet Software Suite rapidly identifies opportunities to remove risk, improve performance and add value.
- QUANTITATIVE BENEFIT
Optimization of data center performance.
- USE CASES
Process Control & OptimizationProcess control and optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints. The PCO market is being driven by rising demand for energy-efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations. Fundamentally, there are three parameters that can be adjusted to affect optimal performance. - Equipment optimization: The first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks. - Operating procedures: Operating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual. - Control optimization: In a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.