Achievement No. 1: Thermal Analysis Simulation System for Data Centers - A simulation system for energy-saving predictions that can be directly used by DC operations managers.
TileFlow is a thermal airflow analysis software specifically designed for data centers. It accurately responds to the increasing demands for energy efficiency year after year with the advanced algorithm (Exponential Method) developed by S.V. Patankar. On-site personnel can handle equipment additions and layout changes themselves. Results can be visualized quickly and easily. It is a user-friendly software for operations managers and is the number one software with a proven track record among major data centers, particularly in the United States. It can integrate with various DCIM software to visualize the current situation and conduct future considerations. Awarded the Special Prize in the Management & Monitoring category at InteRop Tokyo 2017 and was a finalist in the Demonstration category at InteRop Tokyo 2016.
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basic information
Airflow simulation system to solve the heat generation problem in data centers 【Features】 ○ Quickly build thermal analysis simulation models for installed data sensors ○ Equipped with a database of cooling units, opening panels, and server racks from major manufacturers, allowing for flexible modeling of data centers ○ Ability to modify item information in the database or add new items ○ Capable of two types of advanced simulations: underfloor and above-floor ○ Simulation results can be visually displayed in an easily understandable manner ○ Animation of airflow protrusion from opening panels, visually displaying the amount of airflow coming out ● For more details, please request materials from our company website. * We also provide product demonstration explanations. We are happy to visit interested companies, so please feel free to contact us.
Price information
For more details, please contact us separately through our company website.
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Applications/Examples of results
【Purpose】 - Use in operational management aimed at reducing power consumption in data centers - Understanding the current state of thermal issues in data centers and considering improvement methods - Designing for the intake of outside air conditioning in data centers - Layout design for data centers - Architecture and consulting for data centers - Predictive operational improvement management in data centers (thermal design improvement), etc.
Detailed information
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TileFlow Data Center Energy Saving Operation Support We introduce measures for energy saving and stable operation in data center management, focusing on the TileFlow thermal management simulation system. Please feel free to consult us with any questions.
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iFacility Data Center As a company with experience and achievements in both IT and facilities, we can provide various advice that only we can offer. If you have any inquiries, we will respond as much as possible. Thank you very much for your consideration.
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TileFlow Data Center Airflow Analysis Software By analyzing airflow, it clarifies issues such as heat recirculation, enabling various countermeasures. Please feel free to consult with us.
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Company information
TileFlow Japan Co., Ltd. was established in April 2011 as part of Innovative Research, Inc.'s Asia-Pacific strategy and has been preparing its organizational structure. It officially began full-scale operations on April 1, 2012 (with TileFlow technical support services implemented earlier). We aim to visualize energy-saving and thermal management technologies through TileFlow, expanding from current management systems for energy management, environmental management, asset management, cable connection management, and power management to future facility planning. By using TileFlow as a core technology and focusing on the iFacility Data Center, we will advance technical support for energy-saving and thermal management in data centers through integrated facilities technology (software + hardware), striving to establish and promote a next-generation integrated system for energy-saving and thermal management in data centers.