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	<title>Comments on: Hot and heavy energy usage: How the demand and price for electricity skyrocketed on a 100° day</title>
	<atom:link href="http://blog.opower.com/2012/09/hot-and-heavy-energy-usage-how-the-demand-and-price-for-electricity-skyrocketed-on-a-100-day/feed/" rel="self" type="application/rss+xml" />
	<link>http://blog.opower.com/2012/09/hot-and-heavy-energy-usage-how-the-demand-and-price-for-electricity-skyrocketed-on-a-100-day/</link>
	<description>Blogs</description>
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		<title>By: Samuel Meyer</title>
		<link>http://blog.opower.com/2012/09/hot-and-heavy-energy-usage-how-the-demand-and-price-for-electricity-skyrocketed-on-a-100-day/#comment-150</link>
		<dc:creator>Samuel Meyer</dc:creator>
		<pubDate>Sat, 08 Sep 2012 00:09:00 +0000</pubDate>
		<guid isPermaLink="false">http://blog.opower.com/?p=2103#comment-150</guid>
		<description>For an individual house, the relationship is probably closer to quadratic once it is hotter outside than the setting of the air conditioner. The heat that enters the house is linearly related to the difference in temperatures (Newton&#039;s law of cooling/heating). But... air conditioners become less efficient as the temperature difference increases. If they act as a percentage of a perfect air conditioner (a Carnot cycle, more information at http://en.wikipedia.org/wiki/Coefficient_of_performance), then the efficiency is related to the inverse of the temperature difference. As a result, you multiply the two together, and the energy used by the air conditioner increases relative to the temperature squared.</description>
		<content:encoded><![CDATA[<p>For an individual house, the relationship is probably closer to quadratic once it is hotter outside than the setting of the air conditioner. The heat that enters the house is linearly related to the difference in temperatures (Newton&#8217;s law of cooling/heating). But&#8230; air conditioners become less efficient as the temperature difference increases. If they act as a percentage of a perfect air conditioner (a Carnot cycle, more information at <a href="http://en.wikipedia.org/wiki/Coefficient_of_performance" rel="nofollow">http://en.wikipedia.org/wiki/Coefficient_of_performance</a>), then the efficiency is related to the inverse of the temperature difference. As a result, you multiply the two together, and the energy used by the air conditioner increases relative to the temperature squared.</p>
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		<title>By: Anonymous</title>
		<link>http://blog.opower.com/2012/09/hot-and-heavy-energy-usage-how-the-demand-and-price-for-electricity-skyrocketed-on-a-100-day/#comment-149</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Fri, 07 Sep 2012 18:38:00 +0000</pubDate>
		<guid isPermaLink="false">http://blog.opower.com/?p=2103#comment-149</guid>
		<description>Nice observation Andrew! Yes, the four highest-temperature days plotted in the first graph do clearly lie above the linear best-fit line, suggesting some degree of exponential response. More research is warranted to investigate to what extent that relationship holds, but the implication is that after a certain point (say 100 degrees), even a tiny increase in temperature may result in a disproportionate increase in electricity usage. </description>
		<content:encoded><![CDATA[<p>Nice observation Andrew! Yes, the four highest-temperature days plotted in the first graph do clearly lie above the linear best-fit line, suggesting some degree of exponential response. More research is warranted to investigate to what extent that relationship holds, but the implication is that after a certain point (say 100 degrees), even a tiny increase in temperature may result in a disproportionate increase in electricity usage.</p>
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		<title>By: Anonymous</title>
		<link>http://blog.opower.com/2012/09/hot-and-heavy-energy-usage-how-the-demand-and-price-for-electricity-skyrocketed-on-a-100-day/#comment-148</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Fri, 07 Sep 2012 18:27:00 +0000</pubDate>
		<guid isPermaLink="false">http://blog.opower.com/?p=2103#comment-148</guid>
		<description>Thanks for sharing Jason! Best of luck with your work at Coincident Peak. Looks like a very helpful data-driven initiative to help manage peak demand.</description>
		<content:encoded><![CDATA[<p>Thanks for sharing Jason! Best of luck with your work at Coincident Peak. Looks like a very helpful data-driven initiative to help manage peak demand.</p>
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		<title>By: Anonymous</title>
		<link>http://blog.opower.com/2012/09/hot-and-heavy-energy-usage-how-the-demand-and-price-for-electricity-skyrocketed-on-a-100-day/#comment-147</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Fri, 07 Sep 2012 18:24:00 +0000</pubDate>
		<guid isPermaLink="false">http://blog.opower.com/?p=2103#comment-147</guid>
		<description>Hey Chris, thanks for reading! This analysis was focused on the residential sector. But the Federal Energy Regulatory Commission has done some analysis of their own about the peak electricity demand of commercial and industrial users--including how demand changes as the temperature increases. 

In general, it appears that on an average day, the commercial/industrial peak electricity demand occurs earlier in the day (~1-3pm) than for residential users (3-7pm). Still, like residential users, demand noticeably increases on hot days.

For details, check out page 214 of the following report:

http://www.ferc.gov/legal/staff-reports/06-09-demand-response.pdf</description>
		<content:encoded><![CDATA[<p>Hey Chris, thanks for reading! This analysis was focused on the residential sector. But the Federal Energy Regulatory Commission has done some analysis of their own about the peak electricity demand of commercial and industrial users&#8211;including how demand changes as the temperature increases. </p>
<p>In general, it appears that on an average day, the commercial/industrial peak electricity demand occurs earlier in the day (~1-3pm) than for residential users (3-7pm). Still, like residential users, demand noticeably increases on hot days.</p>
<p>For details, check out page 214 of the following report:</p>
<p><a href="http://www.ferc.gov/legal/staff-reports/06-09-demand-response.pdf" rel="nofollow">http://www.ferc.gov/legal/staff-reports/06-09-demand-response.pdf</a></p>
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		<title>By: Rick Shorin</title>
		<link>http://blog.opower.com/2012/09/hot-and-heavy-energy-usage-how-the-demand-and-price-for-electricity-skyrocketed-on-a-100-day/#comment-144</link>
		<dc:creator>Rick Shorin</dc:creator>
		<pubDate>Thu, 06 Sep 2012 11:54:00 +0000</pubDate>
		<guid isPermaLink="false">http://blog.opower.com/?p=2103#comment-144</guid>
		<description>The article implies that the study was done for weekdays (work days),it would be interesting to see the differences in usage and prices for the same conditions on weekend days</description>
		<content:encoded><![CDATA[<p>The article implies that the study was done for weekdays (work days),it would be interesting to see the differences in usage and prices for the same conditions on weekend days</p>
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		<title>By: Jason Massey</title>
		<link>http://blog.opower.com/2012/09/hot-and-heavy-energy-usage-how-the-demand-and-price-for-electricity-skyrocketed-on-a-100-day/#comment-143</link>
		<dc:creator>Jason Massey</dc:creator>
		<pubDate>Wed, 05 Sep 2012 23:26:00 +0000</pubDate>
		<guid isPermaLink="false">http://blog.opower.com/?p=2103#comment-143</guid>
		<description>We&#039;re working on one for industrial users via our www.coinicidentpeak.com property.  Very interesting world of rate schedules, weather and peak demand calls for industrial sector.</description>
		<content:encoded><![CDATA[<p>We&#8217;re working on one for industrial users via our <a href="http://www.coinicidentpeak.com" rel="nofollow">http://www.coinicidentpeak.com</a> property.  Very interesting world of rate schedules, weather and peak demand calls for industrial sector.</p>
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		<title>By: Jason Massey</title>
		<link>http://blog.opower.com/2012/09/hot-and-heavy-energy-usage-how-the-demand-and-price-for-electricity-skyrocketed-on-a-100-day/#comment-142</link>
		<dc:creator>Jason Massey</dc:creator>
		<pubDate>Wed, 05 Sep 2012 19:04:00 +0000</pubDate>
		<guid isPermaLink="false">http://blog.opower.com/?p=2103#comment-142</guid>
		<description>Awesome piece...does our heart good!  We&#039;re getting ready to launch an industrial version of a peak curve/predictor in limited utility footprints over the next month.  Would love everyone&#039;s thoughts on www.coincidentpeak.com  You can play around in a small NC market at 27886 zip code.</description>
		<content:encoded><![CDATA[<p>Awesome piece&#8230;does our heart good!  We&#8217;re getting ready to launch an industrial version of a peak curve/predictor in limited utility footprints over the next month.  Would love everyone&#8217;s thoughts on <a href="http://www.coincidentpeak.com" rel="nofollow">http://www.coincidentpeak.com</a>  You can play around in a small NC market at 27886 zip code.</p>
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		<title>By: Andrew Solomon</title>
		<link>http://blog.opower.com/2012/09/hot-and-heavy-energy-usage-how-the-demand-and-price-for-electricity-skyrocketed-on-a-100-day/#comment-141</link>
		<dc:creator>Andrew Solomon</dc:creator>
		<pubDate>Wed, 05 Sep 2012 17:14:00 +0000</pubDate>
		<guid isPermaLink="false">http://blog.opower.com/?p=2103#comment-141</guid>
		<description>Love it. Could the relationship between temp and demand at the higher end of the temperature range possibly be exponential? Looks like the data points at that end are well above the linear regression...</description>
		<content:encoded><![CDATA[<p>Love it. Could the relationship between temp and demand at the higher end of the temperature range possibly be exponential? Looks like the data points at that end are well above the linear regression&#8230;</p>
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		<title>By: Chris Martin</title>
		<link>http://blog.opower.com/2012/09/hot-and-heavy-energy-usage-how-the-demand-and-price-for-electricity-skyrocketed-on-a-100-day/#comment-140</link>
		<dc:creator>Chris Martin</dc:creator>
		<pubDate>Wed, 05 Sep 2012 14:12:00 +0000</pubDate>
		<guid isPermaLink="false">http://blog.opower.com/?p=2103#comment-140</guid>
		<description>Barry--great article!  Am curious to know if a similar peak curve chart is available for commercial and industrial users.  </description>
		<content:encoded><![CDATA[<p>Barry&#8211;great article!  Am curious to know if a similar peak curve chart is available for commercial and industrial users.</p>
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