<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Field Notes on CoolSim | SaaS CFD for Data Center Airflow &amp; Thermal Optimization</title><link>https://coolsimsoftware.com/articles/</link><description>Recent content in Field Notes on CoolSim | SaaS CFD for Data Center Airflow &amp; Thermal Optimization</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Tue, 22 Jul 2025 12:26:30 -0400</lastBuildDate><atom:link href="https://coolsimsoftware.com/articles/index.xml" rel="self" type="application/rss+xml"/><item><title>What is CFD?</title><link>https://coolsimsoftware.com/articles/what-is-cfd/</link><pubDate>Tue, 22 Jul 2025 12:26:30 -0400</pubDate><guid>https://coolsimsoftware.com/articles/what-is-cfd/</guid><description>&lt;p&gt;Computational fluid dynamics (CFD) is a mathematical technique used to analyze and solve fluid flow problems. Instead of building a physical prototype and measuring it, CFD lets you predict how air, heat, and pressure move through a space on a computer — before anything is built or changed.&lt;/p&gt;
&lt;p&gt;For a data center, that means answering questions like &lt;em&gt;Will this row run hot if a CRAC unit fails?&lt;/em&gt; or &lt;em&gt;How much cooling capacity am I actually using?&lt;/em&gt; without waiting for a problem to show up in production.&lt;/p&gt;</description></item><item><title>Key Data Center Cooling Metrics</title><link>https://coolsimsoftware.com/articles/key-data-center-cooling-metrics/</link><pubDate>Mon, 28 Apr 2025 13:12:01 +0000</pubDate><guid>https://coolsimsoftware.com/articles/key-data-center-cooling-metrics/</guid><description>&lt;h2 id="power-utilization-effectiveness-pue"&gt;Power Utilization Effectiveness (PUE)&lt;/h2&gt;
&lt;p&gt;The most widely adopted metric for data center efficiency, PUE, was defined by &lt;a href="https://datacenters.lbl.gov/sites/default/files/WP49-PUE%20A%20Comprehensive%20Examination%20of%20the%20Metric_v6.pdf"&gt;The Green Grid&lt;/a&gt; as the ratio of the total energy used in a data center to the energy used by IT equipment (servers, network switches, UPSs, etc.).&lt;/p&gt;
\[
\begin{equation}
\text{PUE}=\frac{\text{total facility energy}}{\text{IT equipment energy}}
\end{equation}
\]&lt;p&gt;A PUE of 1.0 indicates that all energy entering the data center is being used for revenue-generating IT workloads.
Meanwhile, a PUE of 2.0 suggests that only half the total data center energy is used for IT equipment.
This implies that this metric characterizes the overhead needed to run a facility.&lt;/p&gt;</description></item><item><title>The Evolution of Data Center Design</title><link>https://coolsimsoftware.com/articles/the-evolution-of-data-center-design/</link><pubDate>Mon, 28 Apr 2025 13:12:01 +0000</pubDate><guid>https://coolsimsoftware.com/articles/the-evolution-of-data-center-design/</guid><description>&lt;h2 id="early-mainframe-era-1950s-1970s"&gt;Early Mainframe Era (1950s-1970s)&lt;/h2&gt;
&lt;p&gt;In the mainframe era, a company’s entire compute capacity lived in a single, cavernous room.
Power densities were modest—about 100–200 W per square foot—so a few air handlers could keep equipment cool without elaborate backup.
The arrival of raised floors solved cable-management headaches and doubled as a basic air plenum, but true redundancy was rare; reliability depended more on meticulous operators than on duplicate gear.
Designs therefore concentrated on keeping one central machine online rather than engineering complex fail-over paths. ​&lt;/p&gt;</description></item></channel></rss>