{"id":90783,"date":"2025-02-10T01:31:34","date_gmt":"2025-02-10T01:31:34","guid":{"rendered":"https:\/\/neclink.com\/index.php\/2025\/02\/10\/solar-and-electric-powered-homes-feel-the-effects-of-power-outages-differently\/"},"modified":"2025-02-10T01:31:34","modified_gmt":"2025-02-10T01:31:34","slug":"solar-and-electric-powered-homes-feel-the-effects-of-power-outages-differently","status":"publish","type":"post","link":"https:\/\/neclink.com\/index.php\/2025\/02\/10\/solar-and-electric-powered-homes-feel-the-effects-of-power-outages-differently\/","title":{"rendered":"Solar and electric-powered homes feel the effects of power outages differently"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<p id=\"first\">As winter storms and summer heat waves increasingly stress the nation&#8217;s power grids, Stevens researchers have developed a new way to identify the homes <em>most<\/em> vulnerable to blackouts &#8212; without even visiting them.<\/p>\n<div id=\"text\">\n<p>The timing couldn&#8217;t be more critical. With more than a quarter of U.S. homes already fully electric, and solar installations set to triple during the next five years, understanding vulnerabilities has become critical for emergency planning and public safety.<\/p>\n<p>&#8220;We&#8217;re racing toward electrification to combat climate change, but we must also understand the risks involved,&#8221; says Stevens professor Philip Odonkor, who led the research project. &#8220;So, what happens to these solar and electric homes when the power goes out?&#8221;<\/p>\n<p><strong>Summer strength, winter blues<\/strong><\/p>\n<p>Odonkor, with recent graduates and AI summer fellows Andrew Majowicz M.Eng. &#8217;24 and Chetan Popli M.S. &#8217;24, set out to answer that question.<\/p>\n<p>In a new study published in the <em>Journal of Smart Cities and Society<\/em>, they explore the future of electrified American homes by leveraging AI and analyzing Department of Energy (DOE) building-stock data.<\/p>\n<p>The team dug deep into the energy patterns of 129,000 single-family homes across eight states. Their goal? Uncover the hidden energy &#8220;signatures&#8221; that distinguish fully electrified homes &#8212; those powered entirely by electricity &#8212; from those that use a mix of energy sources.<\/p>\n<p>They didn&#8217;t stop there, however. For identified mixed-energy homes, the team also worked to pinpoint exactly which appliances have made the shifts to electric power and which haven&#8217;t.<\/p>\n<p>After processing and analyzing the dataset, Odonkor&#8217;s team found that homes&#8217; energy signatures were not only distinguishable, but they also granted critical insights into the resilience of individual homes.<\/p>\n<p>Solar-powered homes, for example, demonstrated impressive resilience during summer heat waves. However, they proved remarkably vulnerable during winter storms; in fact, fully electrified homes were nearly three times more vulnerable to winter outages, compared to those drawing power from mixed energy sources.<\/p>\n<p>&#8220;Think about Texas in 2021, when millions lost power during a winter storm,&#8221; Odonkor explains. &#8220;As more homes go fully electric, we need to prepare for these scenarios.&#8221; &#8220;Solar panels help in summer, but they can&#8217;t meet the intense heating demands that occur during winter blackouts.&#8221;<\/p>\n<p><strong>New methods to inform planning and response<\/strong><\/p>\n<p>The study wasn&#8217;t only pathbreaking for its findings; it was only notable for the innovative AI-powered methods that were used to conduct the analyses.<\/p>\n<p>Odonkor&#8217;s team developed novel machine-learning models capable of identifying an individual home&#8217;s energy systems and vulnerabilities with over 95% accuracy, using only its energy-consumption patterns. The new approach enables utilities and emergency responders to pinpoint at-risk households across entire neighborhoods, without the need for invasive surveys or inspections.<\/p>\n<p>&#8220;Until now, we actually had to go door-to-door to determine if a home was fully electric,&#8221; notes Odonkor. &#8220;Now, we can automatically identify the most vulnerable homes while still safeguarding people&#8217;s privacy.&#8221; &#8220;This will shift the way we prepare for and respond to extreme weather, enabling faster, and more targeted action when it&#8217;s needed most.&#8221;<\/p>\n<p>The study&#8217;s potential benefits extend beyond empowering individual homeowners. As cities work to build climate resilience, these new tools could help community emergency-service units prioritize responses during outages. It could also assist urban planners in the long-term development of more resilient housing stock and neighborhoods.<\/p>\n<p>That&#8217;s key, because communities nationwide are grappling with a one-two punch of aging power grids subjected to more frequent episodes of severe weather.<\/p>\n<p>As we increasingly transition to electric homes to cope with climate change, the team&#8217;s findings serve as a warning that we will need implement strategies that protect vulnerable solar and electric households during winter emergencies.<\/p>\n<p>&#8220;The path to sustainable cities isn&#8217;t just about going green; it&#8217;s about staying resilient,&#8221; he emphasizes. &#8220;As we shape the future of urban housing, understanding vulnerabilities isn&#8217;t just a luxury &#8212; it&#8217;s essential to keeping communities safe.&#8221;<\/p>\n<\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/www.sciencedaily.com\/releases\/2025\/02\/250207181956.htm\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>As winter storms and summer heat waves increasingly stress the nation&#8217;s power grids, Stevens researchers have developed a new way to identify the homes most<\/p>\n","protected":false},"author":1,"featured_media":90784,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[173],"tags":[],"class_list":["post-90783","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-science"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/neclink.com\/index.php\/wp-json\/wp\/v2\/posts\/90783","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/neclink.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/neclink.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/neclink.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/neclink.com\/index.php\/wp-json\/wp\/v2\/comments?post=90783"}],"version-history":[{"count":0,"href":"https:\/\/neclink.com\/index.php\/wp-json\/wp\/v2\/posts\/90783\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/neclink.com\/index.php\/wp-json\/wp\/v2\/media\/90784"}],"wp:attachment":[{"href":"https:\/\/neclink.com\/index.php\/wp-json\/wp\/v2\/media?parent=90783"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/neclink.com\/index.php\/wp-json\/wp\/v2\/categories?post=90783"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/neclink.com\/index.php\/wp-json\/wp\/v2\/tags?post=90783"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}