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	<title>Comments on: Green Data Centers: Core4 Launches Efficient Cooling Gear</title>
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		<title>By: DOE to Invest $47M in Data Center Efficiency Projects</title>
		<link>http://gigaom.com/cleantech/green-data-centers-core4-launches-with-cool-energy-savings/#comment-24027</link>
		<dc:creator><![CDATA[DOE to Invest $47M in Data Center Efficiency Projects]]></dc:creator>
		<pubDate>Wed, 06 Jan 2010 17:16:38 +0000</pubDate>
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		<description><![CDATA[&lt;p&gt;[...] energy used to cool data centers sucks up 40-60 percent of the total energy consumption of data centers, so we&#8217;re glad to see Chu [...]&lt;/p&gt;]]></description>
		<content:encoded><![CDATA[<p>[...] energy used to cool data centers sucks up 40-60 percent of the total energy consumption of data centers, so we&#8217;re glad to see Chu [...]</p>
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		<title>By: Katie Fehrenbacher</title>
		<link>http://gigaom.com/cleantech/green-data-centers-core4-launches-with-cool-energy-savings/#comment-24026</link>
		<dc:creator><![CDATA[Katie Fehrenbacher]]></dc:creator>
		<pubDate>Mon, 22 Jun 2009 14:03:51 +0000</pubDate>
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		<description><![CDATA[&lt;p&gt;thanks Alex, Ill be sure to check open4energy out&lt;/p&gt;]]></description>
		<content:encoded><![CDATA[<p>thanks Alex, Ill be sure to check open4energy out</p>
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		<title>By: Alex</title>
		<link>http://gigaom.com/cleantech/green-data-centers-core4-launches-with-cool-energy-savings/#comment-24025</link>
		<dc:creator><![CDATA[Alex]]></dc:creator>
		<pubDate>Mon, 22 Jun 2009 04:57:52 +0000</pubDate>
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		<description><![CDATA[&lt;p&gt;Spot on about the energy cost of cooling. I refer readers to the work of The Green Grid - PUE - the initiative to have a standard calculation for the ratio between energy used by the compute devices and other energy defined - the largest being cooling.&lt;/p&gt;

&lt;p&gt;A computing device is, from a heat perspective, a variable heater. As a general guide the server uses 50% of it&#039;s energy doing no compute work (fans, memory etc) and the other 50% in direct proportion to the cpu utilization.&lt;/p&gt;

&lt;p&gt;You do not need to measure the temperature in a data center to know how much additional cooling is required. Simply take the starting temperature and measure the watts watts being delivered from the power supply system = the heat being created = heat to be removed.&lt;/p&gt;

&lt;p&gt;I write this to encourage data center managers looking at ways to save energy, to both look at the cooling systems, and to look at some of the open source software initiatives to measure and graph energy use.&lt;/p&gt;

&lt;p&gt;open4energy is an open source energy monitoring project built on Cacti and RRDtool, both proven platforms for graphing time series data.&lt;/p&gt;]]></description>
		<content:encoded><![CDATA[<p>Spot on about the energy cost of cooling. I refer readers to the work of The Green Grid &#8211; PUE &#8211; the initiative to have a standard calculation for the ratio between energy used by the compute devices and other energy defined &#8211; the largest being cooling.</p>
<p>A computing device is, from a heat perspective, a variable heater. As a general guide the server uses 50% of it&#8217;s energy doing no compute work (fans, memory etc) and the other 50% in direct proportion to the cpu utilization.</p>
<p>You do not need to measure the temperature in a data center to know how much additional cooling is required. Simply take the starting temperature and measure the watts watts being delivered from the power supply system = the heat being created = heat to be removed.</p>
<p>I write this to encourage data center managers looking at ways to save energy, to both look at the cooling systems, and to look at some of the open source software initiatives to measure and graph energy use.</p>
<p>open4energy is an open source energy monitoring project built on Cacti and RRDtool, both proven platforms for graphing time series data.</p>
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