{"id":25447,"date":"2024-11-27T21:40:57","date_gmt":"2024-11-27T15:55:57","guid":{"rendered":"https:\/\/www.revoscience.com\/en\/?p=25447"},"modified":"2024-11-27T21:41:00","modified_gmt":"2024-11-27T15:56:00","slug":"weather-prediction-a-new-approach-to-meteorology-estimation-improves-building-efficiency","status":"publish","type":"post","link":"https:\/\/www.revoscience.com\/en\/weather-prediction-a-new-approach-to-meteorology-estimation-improves-building-efficiency\/","title":{"rendered":"Weather prediction: A new approach to meteorology estimation improves building efficiency"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"675\" height=\"450\" sizes=\"auto, (max-width: 675px) 100vw, 675px\" src=\"https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house-675x450.jpg\" alt=\"\" class=\"wp-image-25448\" style=\"width:836px;height:auto\" title=\"\" srcset=\"https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house-675x450.jpg 675w, https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house-600x400.jpg 600w, https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house-768x512.jpg 768w, https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house.jpg 1100w\" \/><figcaption class=\"wp-element-caption\"><em>IMAGE: OMU<\/em><\/figcaption><\/figure>\n\n\n\n<p>Climate change and global warming have increased the uncertainty around the meteorological conditions utilized in building energy assessments. <\/p>\n\n\n\n<p>Existing methods for generating meteorological data do not adequately handle the interdependence of meteorological elements, such as solar radiation, air temperature, and absolute humidity, which are important for calculating energy usage and efficiency.<\/p>\n\n\n\n<p>To address this challenge, a research team at Osaka Metropolitan University\u2019s Graduate School of Human Life and Ecology\u2014comprising Associate Professor Jihui Yuan, Professor Emeritus Kazuo Emura, Dr. Zhichao Jiao, and Associate Professor Craig Farnham\u2014developed an innovative evaluation method. This method utilizes a statistical model to represent the interdependence of multiple factors, facilitating the generation of probabilistic meteorological data.<\/p>\n\n\n\n<p>The researchers modeled the temperature, solar radiation, and humidity at noon each day, and then gradually expanded this to 24 hours and 365 days to generate a year\u2019s worth of meteorological data. <\/p>\n\n\n\n<p>The most notable aspect of this method is that it takes into account the interdependence of meteorological variables and improves the accuracy of building energy simulations. Their generated data was almost identical to the original data set, proving the method\u2019s accuracy.<\/p>\n\n\n\n<p>\u201cWe hope this method will lead to the promotion of energy-efficient building design that can respond to various weather conditions,\u201d stated Professor Yuan.<\/p>\n\n\n\n<p>The findings were published in\u00a0<em><a href=\"https:\/\/doi.org\/10.1038\/s41598-024-75498-8\" target=\"_blank\" rel=\"noopener\">Scientific Reports<\/a><\/em>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Climate change and global warming have increased the uncertainty around the meteorological conditions utilized in building energy assessments. Existing methods for generating meteorological data do not adequately handle the interdependence of meteorological elements, such as solar radiation, air temperature, and absolute humidity, which are important for calculating energy usage and efficiency. To address this challenge, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":25448,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17,15],"tags":[],"class_list":["post-25447","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research","category-environment"],"featured_image_urls":{"full":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house.jpg",1100,733,false],"thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house-200x200.jpg",200,200,true],"medium":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house-600x400.jpg",600,400,true],"medium_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house-768x512.jpg",750,500,true],"large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house-675x450.jpg",675,450,true],"1536x1536":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house.jpg",1100,733,false],"2048x2048":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house.jpg",1100,733,false],"ultp_layout_landscape_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house.jpg",1100,733,false],"ultp_layout_landscape":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house-870x570.jpg",870,570,true],"ultp_layout_portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house-600x733.jpg",600,733,true],"ultp_layout_square":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house-600x600.jpg",600,600,true],"newspaper-x-single-post":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house-760x490.jpg",760,490,true],"newspaper-x-recent-post-big":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house-550x360.jpg",550,360,true],"newspaper-x-recent-post-list-image":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house-95x65.jpg",95,65,true],"web-stories-poster-portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house.jpg",640,426,false],"web-stories-publisher-logo":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house.jpg",96,64,false],"web-stories-thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/11\/model-house.jpg",150,100,false]},"author_info":{"info":["RevoScience"]},"category_info":"<a href=\"https:\/\/www.revoscience.com\/en\/category\/news\/research\/\" rel=\"category tag\">Research<\/a> <a href=\"https:\/\/www.revoscience.com\/en\/category\/environment\/\" rel=\"category tag\">Environment<\/a>","tag_info":"Environment","comment_count":"0","_links":{"self":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/25447","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/comments?post=25447"}],"version-history":[{"count":1,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/25447\/revisions"}],"predecessor-version":[{"id":25449,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/25447\/revisions\/25449"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media\/25448"}],"wp:attachment":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media?parent=25447"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/categories?post=25447"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/tags?post=25447"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}