{"id":778621,"date":"2020-06-25T09:30:53","date_gmt":"2020-06-25T16:30:53","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=778621"},"modified":"2020-07-01T12:58:35","modified_gmt":"2020-07-01T19:58:35","slug":"living-atlas-solar","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/decision-support\/living-atlas-solar","title":{"rendered":"Using ArcGIS Living Atlas to locate areas to promote solar"},"author":7121,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[37141],"tags":[360682,268131,34821,439322,595611],"industry":[],"product":[36581],"class_list":["post-778621","blog","type-blog","status-publish","format-standard","hentry","category-decision-support","tag-energy","tag-living-atlas","tag-policy-maps","tag-solar","tag-tracts","product-arcgis-living-atlas"],"acf":{"short_description":"We combined layers from ArcGIS Living Atlas to identify prime areas for solar incentive programs.","flexible_content":[{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW107646926 BCX0\">Solar energy is the conversion of sun rays into electricity. <\/span><\/span><span class=\"TextRun SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun CommentStart SCXW107646926 BCX0\">It can be done in our households, by installing photovoltaic (PV) panels on our rooftops. In doing so, electricity is being generated where it&#8217;s used, decreasing our dependence in an external grid. <\/span><\/span><span class=\"TextRun SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW107646926 BCX0\">Solar is a renewable energy\u00a0<\/span><\/span><span class=\"TrackChangeTextDeletion TrackedChange SCXW107646926 BCX0\"><span class=\"TextRun SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW107646926 BCX0\">source\u00a0<\/span><\/span><\/span><span class=\"TextRun SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW107646926 BCX0\">and its use\u00a0<\/span><span class=\"ContextualSpellingAndGrammarError SCXW107646926 BCX0\">is<\/span><span class=\"NormalTextRun SCXW107646926 BCX0\">\u00a0a sustainable practice<\/span><\/span><span class=\"TrackChangeTextDeletion TrackedChange SCXW107646926 BCX0\"><span class=\"TextRun SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW107646926 BCX0\">, <\/span><\/span><\/span><span class=\"TextRun SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW107646926 BCX0\">but how can we decide if solar energy can be a reality for our community?\u00a0<\/span><\/span><span class=\"TextRun SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW107646926 BCX0\">Where<\/span><\/span><span class=\"TextRun SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW107646926 BCX0\"> we are matters a lot. The sun doesn\u2019t shine equally in California and in <\/span><\/span><span class=\"TextRun SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun CommentStart SCXW107646926 BCX0\">Belgium<\/span><\/span><span class=\"TextRun SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW107646926 BCX0\">. Also, solar panels require a significant initial investment and skilled workers to install them. Let\u2019s explore how\u00a0<\/span><\/span><a class=\"Hyperlink SCXW107646926 BCX0\" href=\"https:\/\/livingatlas.arcgis.com\/\" target=\"_blank\" rel=\"noreferrer noopener\"><span class=\"TextRun Underlined SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW107646926 BCX0\" data-ccp-charstyle=\"Hyperlink\">Living Atlas of the World<\/span><\/span><\/a><span class=\"TextRun SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW107646926 BCX0\"> can help<\/span><\/span><span class=\"TextRun SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW107646926 BCX0\"> us identify regions with high solar energy potential and communities that <\/span><\/span><span class=\"TrackChangeTextInsertion TrackedChange SCXW107646926 BCX0\"><span class=\"TextRun SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW107646926 BCX0\">are not currently using solar<\/span><\/span><\/span><span class=\"TextRun SCXW107646926 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW107646926 BCX0\">.<\/span><\/span><span class=\"EOP SCXW107646926 BCX0\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h1>Best places for solar<\/h1>\n<p><span class=\"TextRun SCXW31688945 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW31688945 BCX0\">The\u00a0<\/span><\/span><a class=\"Hyperlink SCXW31688945 BCX0\" href=\"https:\/\/www.arcgis.com\/home\/item.html?id=a1d765ba08b543c5a0ecacf24ae7ff15\" target=\"_blank\" rel=\"noreferrer noopener\"><span class=\"TextRun Underlined SCXW31688945 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW31688945 BCX0\" data-ccp-charstyle=\"Hyperlink\">PV<\/span><\/span><span class=\"TextRun Underlined SCXW31688945 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW31688945 BCX0\" data-ccp-charstyle=\"Hyperlink\">\u00a0electricity output<\/span><\/span><\/a><span class=\"TextRun SCXW31688945 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW31688945 BCX0\">\u00a0<\/span><\/span><span class=\"TrackChangeTextInsertion TrackedChange SCXW31688945 BCX0\"><span class=\"TextRun SCXW31688945 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW31688945 BCX0\">image layer recently released in Living Atlas\u00a0<\/span><\/span><\/span><span class=\"TextRun SCXW31688945 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW31688945 BCX0\">measures how much electricity (kWh) we can generate per capacity installed (<\/span><span class=\"SpellingError SCXW31688945 BCX0\">kWp<\/span><span class=\"NormalTextRun SCXW31688945 BCX0\">).\u00a0<\/span><\/span><span class=\"TextRun SCXW31688945 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW31688945 BCX0\">\u00a0For example, in a<\/span><\/span><span class=\"TextRun SCXW31688945 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW31688945 BCX0\">\u00a0<\/span><\/span><span class=\"TextRun SCXW31688945 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW31688945 BCX0\">year we can\u00a0<\/span><\/span><span class=\"TextRun SCXW31688945 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW31688945 BCX0\">generate around 2,022 kWh<\/span><\/span><span class=\"TextRun SCXW31688945 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW31688945 BCX0\">\/<\/span><span class=\"SpellingError SCXW31688945 BCX0\">KWp<\/span><span class=\"NormalTextRun SCXW31688945 BCX0\"> in Southern California. By contrast, we can only generate about 1,060 kWh\/<\/span><span class=\"SpellingError SCXW31688945 BCX0\">kWp<\/span><span class=\"NormalTextRun SCXW31688945 BCX0\">\u00a0in Belgium.<\/span><\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":793061,"id":793061,"title":"solar_reliability_CA_vs_Belgium","filename":"image1.png","filesize":92526,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/decision-support\/living-atlas-solar\/image1-10","alt":"Solar reliability CA vs Belgium","author":"9412","description":"","caption":"","name":"image1-10","status":"inherit","uploaded_to":778621,"date":"2020-04-01 04:46:01","modified":"2020-04-01 04:46:32","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1120,"height":425,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image1.png","medium-width":464,"medium-height":176,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image1.png","medium_large-width":768,"medium_large-height":291,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image1.png","large-width":1120,"large-height":425,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image1.png","1536x1536-width":1120,"1536x1536-height":425,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image1.png","2048x2048-width":1120,"2048x2048-height":425,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image1-826x313.png","card_image-width":826,"card_image-height":313,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image1.png","wide_image-width":1120,"wide_image-height":425}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">In addition, a\u00a0<\/span><\/span><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">more reliable solar energy\u00a0<\/span><\/span><span class=\"TrackChangeTextInsertion TrackedChange SCXW69211889 BCX0\"><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">value\u00a0<\/span><\/span><\/span><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">throughout the year is preferable.<\/span><\/span><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">\u00a0<\/span><\/span><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">Solar energy in Southern California is more consistent throughout the year, varying from\u00a0<\/span><\/span><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">4.3<\/span><\/span><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">\u00a0kWh\/<\/span><span class=\"SpellingError SCXW69211889 BCX0\">kWp<\/span><span class=\"NormalTextRun SCXW69211889 BCX0\">\u00a0<\/span><\/span><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">to<\/span><\/span><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">\u00a06.2<\/span><\/span><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">\u00a0<\/span><\/span><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">kWh\/<\/span><span class=\"SpellingError SCXW69211889 BCX0\">kWp<\/span><span class=\"NormalTextRun SCXW69211889 BCX0\">\u00a0per day. In Belgium the differences are larger,\u00a0<\/span><\/span><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">in the summer we can produce\u00a0<\/span><\/span><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">4<\/span><\/span><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">.1<\/span><\/span><span class=\"TextRun SCXW69211889 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69211889 BCX0\">\u00a0kWh\/<\/span><span class=\"SpellingError SCXW69211889 BCX0\">kWp<\/span><span class=\"NormalTextRun SCXW69211889 BCX0\">\u00a0but only 1.0 kWh\/<\/span><span class=\"SpellingError SCXW69211889 BCX0\">kWp<\/span><span class=\"NormalTextRun SCXW69211889 BCX0\">\u00a0per day in the winter.<\/span><\/span><span class=\"EOP SCXW69211889 BCX0\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h1><span data-contrast=\"none\">Looking towards the sun<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h1>\n<p>We can improve the performance of the solar panels by tilting them at the right angle. In doing so, we can generate on average more electricity than with just placing the panels horizontally. The <a href=\"https:\/\/www.arcgis.com\/home\/item.html?id=f589564ae8d64ecba49bf2b486cfebfd\" target=\"_blank\" rel=\"noopener\">Horizontal and Tilted Irradiations<\/a> image layer shows the energy that can be generated in a horizontal plane and the energy that can be generated at an optimum tilt angle . For example, in Turin, Italy we can increase the solar energy generated from 1,406 to 1,699 kWh\/m2 by tilting the solar panels at the optimal angle of 38\u00b0. In contrast, in some other places like in Guayaquil, Ecuador the improvements are marginal (from 1,696 to 1,698 kWh\/m2).<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":793101,"id":793101,"title":"Optimal_tilt_Equator_vs_Italy","filename":"image2-1.png","filesize":101047,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image2-1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/decision-support\/living-atlas-solar\/image2-10","alt":"Optimal tilt Equator vs Italy","author":"9412","description":"","caption":"","name":"image2-10","status":"inherit","uploaded_to":778621,"date":"2020-04-01 05:04:12","modified":"2020-04-01 05:05:11","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1205,"height":406,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image2-1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image2-1.png","medium-width":464,"medium-height":156,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image2-1.png","medium_large-width":768,"medium_large-height":259,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image2-1.png","large-width":1205,"large-height":406,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image2-1.png","1536x1536-width":1205,"1536x1536-height":406,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image2-1.png","2048x2048-width":1205,"2048x2048-height":406,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image2-1-826x278.png","card_image-width":826,"card_image-height":278,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image2-1.png","wide_image-width":1205,"wide_image-height":406}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h1><span data-contrast=\"none\">Who is currently using solar and who isn\u2019t<\/span><span data-contrast=\"none\">?<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h1>\n<p><span data-contrast=\"none\">Last December, the Living Atlas team updated 78 Living Atlas layers containing A<\/span><span data-contrast=\"none\">merican Community Survey (ACS)<\/span><span data-contrast=\"none\">\u00a0data within 48 hours of Census releasing the 2014-2018 values.\u202f<\/span><span data-contrast=\"none\">One of the topic<\/span><span data-contrast=\"none\">s we covered\u00a0<\/span><span data-contrast=\"none\">was\u00a0<\/span><a href=\"https:\/\/livingatlas.arcgis.com\/en\/browse\/#d=3&amp;q=acs%20heating%20fuel\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">housing tenure by heating fuel type<\/span><\/a><span data-contrast=\"none\">.<\/span><span data-contrast=\"none\">\u00a0<\/span><span data-contrast=\"none\">Th<\/span><span data-contrast=\"none\">e boundaries version of this layer will<\/span><span data-contrast=\"none\">\u00a0help us identify which tracts\u00a0<\/span><span data-contrast=\"none\">have a low\u00a0<\/span><span data-contrast=\"none\">percentage of households currently using solar.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":778711,"id":778711,"title":"ACS_heating_layer_card","filename":"ACS_heating_layer_card.png","filesize":56965,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ACS_heating_layer_card.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/decision-support\/living-atlas-solar\/acs_heating_layer_card","alt":"","author":"7121","description":"","caption":"","name":"acs_heating_layer_card","status":"inherit","uploaded_to":778621,"date":"2020-03-20 20:30:55","modified":"2020-03-20 20:30:55","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1138,"height":238,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ACS_heating_layer_card-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ACS_heating_layer_card.png","medium-width":464,"medium-height":97,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ACS_heating_layer_card.png","medium_large-width":768,"medium_large-height":161,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ACS_heating_layer_card.png","large-width":1138,"large-height":238,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ACS_heating_layer_card.png","1536x1536-width":1138,"1536x1536-height":238,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ACS_heating_layer_card.png","2048x2048-width":1138,"2048x2048-height":238,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ACS_heating_layer_card-826x173.png","card_image-width":826,"card_image-height":173,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ACS_heating_layer_card.png","wide_image-width":1138,"wide_image-height":238}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h1>Combining all this information to identify prime areas to promote solar<\/h1>\n"},{"acf_fc_layout":"content","content":"<p>We now have all the data layers we need straight from ArcGIS Living Atlas. We worked with these layers in both Pro and ArcGIS Online to answer our overall question: Where are good places to promote household solar usage?<\/p>\n<ul>\n<li>First, we aggregated solar output to census tracts by overlaying the boundaries version of housing tenure by fuel type feature layer with the solar output image layer in Pro. Use the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/tool-reference\/spatial-analyst\/zonal-statistics-as-table.htm\" target=\"_blank\" rel=\"noopener\">zonal statistics as a table<\/a> tool to summarize the image layer to census tracts. Optionally, combine with the horizontal and tilted irradiations layer to get the range of values per census tract of horizontal and optimum solar energy.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":797131,"id":797131,"title":"Zonal-stats","filename":"image4b-1.png","filesize":16134,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image4b-1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/decision-support\/living-atlas-solar\/image4b-2","alt":"Zonal stats","author":"9412","description":"","caption":"","name":"image4b-2","status":"inherit","uploaded_to":778621,"date":"2020-04-03 19:49:51","modified":"2020-04-03 19:50:02","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":288,"height":379,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image4b-1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image4b-1.png","medium-width":198,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image4b-1.png","medium_large-width":288,"medium_large-height":379,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image4b-1.png","large-width":288,"large-height":379,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image4b-1.png","1536x1536-width":288,"1536x1536-height":379,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image4b-1.png","2048x2048-width":288,"2048x2048-height":379,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image4b-1.png","card_image-width":288,"card_image-height":379,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/image4b-1.png","wide_image-width":288,"wide_image-height":379}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<ul>\n<li>We could then see which tracts would benefit from incentive programs by applying criteria to help us narrow down the search space of places with untapped solar potential.\u00a0 This could be done with a definition query in ArcGIS Pro, or with filters in ArcGIS Online. We applied two criteria to identify tracts:\n<ol>\n<li>Tracts that have &gt;1,650 kWh\/KWp, slightly less than 1 standard deviation above the national mean, so that we only keep the tracts with the highest potential.<\/li>\n<li>Tracts that have =&lt;0.5% of households currently using solar, a cutoff slightly lower than the percentage of households using solar nation-wide.<\/li>\n<\/ol>\n<\/li>\n<li>Next, we created this <a href=\"https:\/\/urbanobservatory.maps.arcgis.com\/home\/item.html?id=5eb826799edb40d18f88ccf3cd03ad1f\" target=\"_blank\" rel=\"noopener\">web map<\/a> which shows prime areas to promote solar energy use in the US using that same criteria. After a few iterations, we settled on the Arcade expression below to classify the tracts for symbolizing.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":912591,"id":912591,"title":"Acade_Expression_to_classify_tracts","filename":"Acade_Expression_to_classify_tracts.jpg","filesize":61194,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/06\/Acade_Expression_to_classify_tracts.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/decision-support\/living-atlas-solar\/acade_expression_to_classify_tracts","alt":"","author":"7121","description":"","caption":"","name":"acade_expression_to_classify_tracts","status":"inherit","uploaded_to":778621,"date":"2020-07-01 19:32:39","modified":"2020-07-01 19:32:39","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":838,"height":636,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/06\/Acade_Expression_to_classify_tracts-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/06\/Acade_Expression_to_classify_tracts.jpg","medium-width":344,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/06\/Acade_Expression_to_classify_tracts.jpg","medium_large-width":768,"medium_large-height":583,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/06\/Acade_Expression_to_classify_tracts.jpg","large-width":838,"large-height":636,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/06\/Acade_Expression_to_classify_tracts.jpg","1536x1536-width":838,"1536x1536-height":636,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/06\/Acade_Expression_to_classify_tracts.jpg","2048x2048-width":838,"2048x2048-height":636,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/06\/Acade_Expression_to_classify_tracts-613x465.jpg","card_image-width":613,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/06\/Acade_Expression_to_classify_tracts.jpg","wide_image-width":838,"wide_image-height":636}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/06\/Acade_Expression_to_classify_tracts.jpg"},{"acf_fc_layout":"content","content":"<ul>\n<li>We then created pop-ups that communicate the solar potential in that tract, as well as the most recent data on household solar usage. The conditional text such as &#8220;promote solar here&#8221; vs. &#8220;households here are already tapping into solar&#8221; comes from an Arcade expression using the <a href=\"https:\/\/developers.arcgis.com\/arcade\/function-reference\/logical_functions\/#when\" target=\"_blank\" rel=\"noopener\"><strong>when()<\/strong> function<\/a>.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":881811,"id":881811,"title":"popups","filename":"popups.png","filesize":284804,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/popups.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/decision-support\/living-atlas-solar\/popups","alt":"","author":"7121","description":"","caption":"","name":"popups","status":"inherit","uploaded_to":778621,"date":"2020-06-09 19:35:24","modified":"2020-06-09 19:35:24","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1140,"height":1200,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/popups-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/popups.png","medium-width":248,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/popups.png","medium_large-width":768,"medium_large-height":808,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/popups.png","large-width":1026,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/popups.png","1536x1536-width":1140,"1536x1536-height":1200,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/popups.png","2048x2048-width":1140,"2048x2048-height":1200,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/popups-442x465.png","card_image-width":442,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/popups-1026x1080.png","wide_image-width":1026,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<ul>\n<li>Finally, we took advantage of the GeoList template in <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/configurable-apps\/sharing-collaboration\/get-the-attention-your-web-maps-deserve-using-configurable-apps\/\" target=\"_blank\" rel=\"noopener\">configurable apps<\/a> that allow us to display that web map in a simple &#8220;Top 20&#8221; app to share and communicate our results.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"storymap","title":"Top 20 untapped areas for solar energy promotion in the US","description":"","static":false,"storymap_url":"<a href=\"https:\/\/arcgis.com\/apps\/GeoList\/index.html?appid=7a7ef6eeff054dc4a3a0c777eaf34011\">https:\/\/arcgis.com\/apps\/GeoList\/index.html?appid=7a7ef6eeff054dc4a3a0c777eaf34011<\/a>"},{"acf_fc_layout":"content","content":"<h1>Implications for policies and incentive programs<\/h1>\n<p>Out of the top 20 census tracts that have a high and consistent potential for solar, yet have low current usage rates, 11 of them were in the Victorville\/Hesperia area of San Bernardino County, California. Another seven tracts were on the border of Los Angeles and Kern counties, spanning the cities of Lancaster, Mojave, and California City. The top tract is in the Yucca Valley area. These are places that might benefit from some incentive programs that offset or spread out the initial investment.<\/p>\n<p>Areas that already have a relatively high level of solar usage among households, such as Honolulu and San Diego, could serve as blueprints.<strong>\u00a0<\/strong>Evaluation of policies and incentive programs that took place in these areas might help inform the areas above in terms of what works and what doesn&#8217;t.<\/p>\n"},{"acf_fc_layout":"content","content":"<h1>Answering questions using Living Atlas items<\/h1>\n<p>We combined three layers from ArcGIS Living Atlas into a simple workflow to identify regions with high solar energy potential and communities that are not currently using solar. We applied certain criteria that made sense for the question we were trying to answer. Working with well-documented and ready-to-use layers such as the <a href=\"https:\/\/www.arcgis.com\/home\/item.html?id=a1d765ba08b543c5a0ecacf24ae7ff15\" target=\"_blank\" rel=\"noopener\">PV Electricity Output<\/a>, <a href=\"https:\/\/www.arcgis.com\/home\/item.html?id=f589564ae8d64ecba49bf2b486cfebfd\" target=\"_blank\" rel=\"noopener\">Horizontal and Tilted Irradiations<\/a>, and <a href=\"https:\/\/www.arcgis.com\/home\/item.html?id=ca24e28a08844043bf33db3a163cffde\" target=\"_blank\" rel=\"noopener\">Housing Tenure by Heating Fuel<\/a> layers allowed us to get started with our analysis immediately, since lots of the data processing had already been done.<\/p>\n<p>What types of areas will Living Atlas help you identify?<\/p>\n<p><em>Living Atlas is the foremost collection of maps, apps, and data layers to support your GIS work.\u00a0 If you have any questions about using ArcGIS Living Atlas, please post them on <a href=\"https:\/\/community.esri.com\/community\/arcgis-living-atlas-of-the-world\">GeoNet<\/a>.\u00a0<\/em><em>If you want to go further and use ArcGIS Pro to estimate solar potential, see <a href=\"https:\/\/learn.arcgis.com\/en\/projects\/estimate-solar-power-potential\/\">this Learn Lesson<\/a>.\u00a0<\/em><em>You can find the web map and app we built, along with many other maps that clearly show opportunities to intervene, in <a href=\"https:\/\/livingatlas.arcgis.com\/policy\/overview\/\">Esri Maps for Public Policy<\/a>.<\/em><\/p>\n<p><em>Thanks to <a href=\"https:\/\/www.esri.com\/arcgis-blog\/author\/emeriam\/\" target=\"_blank\" rel=\"noopener\">Emily Meriam<\/a> for cartography assistance!<\/em><\/p>\n<p><em>This blog was updated on 7\/1\/2020.<\/em><\/p>\n"}],"authors":[{"ID":7121,"user_firstname":"Diana","user_lastname":"Lavery","nickname":"Diana Lavery","user_nicename":"dianaclavery_global","display_name":"Diana Lavery","user_email":"DLavery@esri.com","user_url":"","user_registered":"2018-03-02 00:19:20","user_description":"(she\/her\/hers) Diana loves working with data. She has over 15 years experience as a practitioner of demography, sociology, economics, policy analysis, and GIS. Diana holds a BA in quantitative economics and an MA in applied demography. She is a senior GIS engineer on ArcGIS Living Atlas of the World's Policy Maps team. Diana enjoys strong coffee and clean datasets, usually simultaneously.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/diana-lavery-3z7a9428-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"ID":9412,"user_firstname":"Gonzalo","user_lastname":"Espinoza Davalos","nickname":"Gonzalo Espinoza","user_nicename":"gespinoza","display_name":"Gonzalo Espinoza","user_email":"gespinoza@esri.com","user_url":"http:\/\/www.gespinozadav.com","user_registered":"2019-04-04 19:02:26","user_description":"Gonzalo Espinoza specializes in hydrologic modeling, real time climate and hydro-informatic tools such as flood mapping and forecasting using National Water Model data. He masters the full geospatial tech stack required to develop scalable and operational services relying on large volumes of EO data in the fields of water and environment. Gonzalo holds a PhD in Civil Engineering from the University of Texas at Austin.\r\n\r\nFor questions about ArcGIS Living Atlas, contact environment@esri.com","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/head_shot_gonzalo_2-1-465x465.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"related_articles":"","card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/SolarPotential2020Card-1.jpg","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/SolarPotential2020Banner-1.jpg"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Using ArcGIS Living Atlas to locate areas to promote solar<\/title>\n<meta name=\"description\" content=\"We used 4 layers from ArcGIS Living Atlas to identify prime areas for solar incentive programs.\" \/>\n<meta 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