日本ケイデンス・デザイン・システムズ社 Product Lineup

This is a case study of the digital twin technology "Cadence Reality DC Design/Insight (formerly 6SigmaDCX)" used for operational management of data centers while utilizing thermal flow analysis. As part of a project to integrate IT equipment, Cadence was asked to assist in improving data center operations before implementing large-scale equipment installations. This verification was essential for safely executing the project. In conducting the verification, the company created a 3D model as a digital twin of the facility before improvements. They analyzed the results to determine whether improvements were necessary in the room before implementing IT equipment in the real environment. From the company's verification, it was possible to safely carry out large-scale IT equipment integration projects based on scientific evidence, maximizing the capacity of the data center. [Results] - Demonstrated optimization of airflow and reduction of operational costs. - Implemented IT equipment layout plans based on evidence identified from the analysis, allowing for the acquisition of appropriate data in advance. *For more details, please refer to the PDF document or feel free to contact us.*

This is a case study of the digital twin technology "Cadence Reality DC Digital Twin," which manages data center operations using thermal flow analysis. A major healthcare company in the United States was seeking ways to effectively utilize unused capacity without compromising fault tolerance. The company was looking for a "predictive tool" that could efficiently manage power, cooling, and available space to respond to increasing power density, and due to its high confidentiality, it required a "fail-safe method" to achieve these goals. As a result, a project was initiated to revamp the traditional data center using our thermal fluid analysis (CFD) product. By migrating systems and services from colocation to its own data center, the company achieved annual cost savings of approximately $300,000 (about 40 million yen). [Case Overview] ■Scope: Design and operation of data centers, optimization, and capacity planning implementation ■Software Used: Cadence Reality DC Digital Twin *For more details, please refer to the PDF document or feel free to contact us.

This is a case study on the introduction of digital twin technology for operational management of data centers using thermal flow analysis, titled 'Cadence Reality DC Design.' In 2018, Kao Data began operations of the first data center, KDL1, out of four planned data centers on a campus of approximately 146,000 m². To establish an energy-efficient design, the company considered an indirect evaporative cooling system that uses water evaporation to cool air instead of a mechanical cooling system. They collaborated with us to validate the design of the indirect evaporative cooling system within the facility using '6SigmaDigital Twin.' The company designed a data center that achieves high performance without using any mechanical cooling. [Case Overview] ■ Scope of Application: Design and operation of colocation data centers ■ Software Used: Cadence Reality DC Design *For more details, please refer to the PDF document or feel free to contact us.

This is a case study of the digital twin technology "Cadence Reality DC Digital Twin," which utilizes thermal flow analysis for the operation and management of data centers. Thesee DataCenter aims to achieve both "an interactive customer experience" and "an environmentally conscious, energy-efficient data center." To do this, they needed to achieve a "99.995% uptime" and "maximize capacity utilization." Therefore, from the design phase of the data center, they made decisions using our CFD analysis product and continued to use it in operational management to maximize performance. By using our product, they can "understand the actual capacity of the infrastructure," "predict the impact of new projects," and "validate and propose suitable locations for presales projects." [Case Overview] ■ Scope: Design and operational management of colocation data centers ■ Software Used: Cadence 6Sigma Digital Twin *For more details, please refer to the PDF document or feel free to contact us.

This is a successful case study of the thermal fluid analysis software 'Celsius EC Solver' for accurately and quickly analyzing the thermal performance of electronic devices. In Europe, there is an engineering competition called Formula Student, where student teams from engineering departments design, manufacture, validate, and race small-scale formula-style racing cars. Team Bath Racing Electric from the University of Bath in the UK needed to lower the battery temperature to meet the regulations while progressing with the design of their electric vehicle (EV) category in the competition. To achieve this, they adopted the electronic thermal fluid analysis software 'Cadence Celsius EC Solver,' which can analyze the thermal performance of electronic systems with high precision and speed. This allowed them to identify issues with the existing design and manufacture the EV based on new design proposals. [Case Overview] ■ Application Scope: Electronic devices for automobiles ■ Software Used: Cadence Celsius EC Solver ■ Benefits: Analysis speed, high precision, efficient design *For more details, please refer to the PDF document or feel free to contact us.

This is a case study of the implementation of digital twin technology for data center operations management using thermal airflow analysis with 'DataCenter Design/Insight' (formerly 6SigmaDCX). ■ Background of Implementation Citi Group owns a data center of 3,700 square meters. Built in 1986, this data center was unable to implement new equipment due to capacity constraints. To address this, they received a grant from the NYSERDA program "FlexTech," aimed at improving energy efficiency, and utilized the digital twin of the CFD analysis tool 'DataCenter Design/Insight.' ■ Results After Improvement The improved data center ensures 100% thermal compatibility and thermal safety for IT equipment, allowing the group to achieve its goals. Additionally, the PUE ratio improved to within 1% of the compliance range recommended by the Green Grid. *For more details, please refer to the PDF document or feel free to contact us.