{"id":1022114,"date":"2023-01-17T15:26:08","date_gmt":"2023-01-17T14:26:08","guid":{"rendered":"https:\/\/blog.otthydromet.com\/?p=1022114"},"modified":"2023-01-17T16:10:31","modified_gmt":"2023-01-17T15:10:31","slug":"webinar-how-to-process-and-interpret-soiling-data","status":"publish","type":"post","link":"https:\/\/blog.otthydromet.com\/en\/webinar-how-to-process-and-interpret-soiling-data\/","title":{"rendered":"Webinar: How to Process and Interpret Soiling Data"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"1022114\" class=\"elementor elementor-1022114\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-779a6f06 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"779a6f06\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-39d46fa4\" data-id=\"39d46fa4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2c257d31 elementor-drop-cap-yes elementor-drop-cap-view-default elementor-widget elementor-widget-text-editor\" data-id=\"2c257d31\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;drop_cap&quot;:&quot;yes&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>PV modules perform best when they are clean. When contamination collects on the surface of modules, sunlight is blocked from reaching the PV cell, thus reducing the amount of electricity generated. This performance loss is described by the transmission loss and the soiling ratio.<\/p><p>The <a href=\"https:\/\/www.kippzonen.com\/Product\/419\/DustIQ-Soiling-Monitoring-System\">Kipp &amp; Zonen DustIQ<\/a> is a unique optical instrument for accurately measuring the soiling ratio of PV modules, providing information required to keep PV installations operating effectively.<\/p><p>In our recent webinar, Sajad Badalkhani, Service Manager Europe at OTT HydroMet, introduces the phenomenon of soiling and the measurement principles of the DustIQ. He also explains how to process and interpret the readings. Watch the recording below.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f182045 elementor-widget elementor-widget-shortcode\" data-id=\"f182045\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><iframe width=\"560\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/kik5x0dpT2M\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen><\/iframe><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c498b02 elementor-widget elementor-widget-text-editor\" data-id=\"c498b02\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3>What is PV Soiling?<\/h3><p>PV soiling is the accumulation of solid material on the surface of a PV module.<\/p><p>When dirt and particulate matter collect on a PV device, it both absorbs and scatters incident light. This has a major effect on energy yield. Alongside high temperatures, soiling is one of the primary causes of PV output degradation and is known to account for losses of three to four percent of global PV production.<\/p><p>PV soiling can result from many sources, including mineral dust, bird droppings, organic growth (such as lichen, fungi and mosses), pollen, engine exhaust and agricultural emissions. The rate at which these materials accumulate depends on many factors, including properties of the dust and PV module surfaces, as well as climate-related factors such as wind, rain, temperature, irradiance and humidity. PV module orientation can also have a significant effect. Interpreting and understanding regional soiling losses depends on careful consideration of all these factors.<\/p><p>The impact of soiling is generally described in two quantities:<\/p><ul><li><strong>Soiling Ratio (SR):<\/strong> The ratio of the actual power output of a soiled PV array to the power output that would be expected if the array were clean.<\/li><li><strong>Transmission Loss (TL) or Soiling Level (SL):<\/strong> Fractional power loss due to soiling given by 1-SR.<\/li><\/ul><p>For example, if a PV array were soiled to the point that it produced 5% less power than its clean state, the soiling ratio would be 95%, while the transmission loss would be 5%.1<\/p><p>There are two common methods for measuring the soiling ratio of a PV array.<\/p><p>One method is to set up two reference PV devices and allow one to soil naturally (at the same rate as the rest of the array) while keeping one clean. Despite being common, this method produces an instantaneous value of the soiling ratio, with uncertainties of the measurement, in particular, due to misalignment between the two reference devices and also due to the angle-dependence of scattering by soiling. This method also requires that one of the reference devices is perpetually cleaned.<\/p><p>The other method is to use an optical measurement device such as <a href=\"https:\/\/www.kippzonen.com\/Product\/419\/DustIQ-Soiling-Monitoring-System\">DustIQ<\/a>. Optical systems work by producing an infrared light pulse from inside the module \u2013 i.e., from underneath the soiled surface \u2013 and measuring the portion that reflects and scatters back. Using a calibration constant, this measurement can then be converted into a soiling ratio measurement which is completely independent of the angle of incidence.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-73c0105 elementor-widget elementor-widget-gallery\" data-id=\"73c0105\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;columns&quot;:2,&quot;lazyload&quot;:&quot;yes&quot;,&quot;gallery_layout&quot;:&quot;grid&quot;,&quot;columns_tablet&quot;:2,&quot;columns_mobile&quot;:1,&quot;gap&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;gap_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;gap_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;link_to&quot;:&quot;file&quot;,&quot;aspect_ratio&quot;:&quot;3:2&quot;,&quot;overlay_background&quot;:&quot;yes&quot;,&quot;content_hover_animation&quot;:&quot;fade-in&quot;}\" data-widget_type=\"gallery.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-gallery__container\">\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/blog.otthydromet.com\/wp-content\/uploads\/2020\/12\/resized_220_resized_220_Soiling_PV_whitepaper_blog_220x220.jpg\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"73c0105\" data-elementor-lightbox-title=\"Soiling significantly impacts plant performance as it reduces the energy output of affected PV modules.\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6MTI1MCwidXJsIjoiaHR0cHM6XC9cL2Jsb2cub3R0aHlkcm9tZXQuY29tXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDIwXC8xMlwvcmVzaXplZF8yMjBfcmVzaXplZF8yMjBfU29pbGluZ19QVl93aGl0ZXBhcGVyX2Jsb2dfMjIweDIyMC5qcGciLCJzbGlkZXNob3ciOiI3M2MwMTA1In0%3D\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/blog.otthydromet.com\/wp-content\/uploads\/2020\/12\/resized_220_resized_220_Soiling_PV_whitepaper_blog_220x220.jpg\" data-width=\"220\" data-height=\"220\" aria-label=\"Dust pv plant\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/blog.otthydromet.com\/wp-content\/uploads\/2020\/12\/DustIQ_PV-Module_Soiling_whitepaper.jpg\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"73c0105\" data-elementor-lightbox-title=\"The DustIQ soiling monitoring system provides accurate and real-time soiling data that helps to optimize the cleaning schedule.\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6MTI0OCwidXJsIjoiaHR0cHM6XC9cL2Jsb2cub3R0aHlkcm9tZXQuY29tXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDIwXC8xMlwvRHVzdElRX1BWLU1vZHVsZV9Tb2lsaW5nX3doaXRlcGFwZXIuanBnIiwic2xpZGVzaG93IjoiNzNjMDEwNSJ9\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/blog.otthydromet.com\/wp-content\/uploads\/2020\/12\/DustIQ_PV-Module_Soiling_whitepaper.jpg\" data-width=\"793\" data-height=\"521\" aria-label=\"PV plant\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-da65e23 elementor-widget elementor-widget-text-editor\" data-id=\"da65e23\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3>Ensuring Reliable Data Collection<\/h3><p>There are several factors that have an influence on the reliability of soiling measurements.<\/p><h4>Location and Number of Sensors<\/h4><p>IC61724 sets out recommendations for the number of soiling sensors to be used for a given AC system size in megawatts1 However, this is something of a rule of thumb. It is possible to have significant variations in soiling profiles between sensors when following these recommendations, especially where there are variations in ground textures or wind speed and direction.<\/p><p>The best practice is always to observe the site and check if it can be divided into different \u201cdust regions\u201d \u2013 each of these regions should be monitored, ideally by a centrally located sensor.<\/p><h4>Installation, Commissioning and Maintenance<\/h4><p>DustIQ can be placed anywhere on an array \u2013 at the top, side or bottom of a PV module. However, we advise installing it vertically: soiling typically varies most in the vertical direction, so horizontal installation can be less effective at getting the full picture.<\/p><p>We also recommend investigating electrical protection. DustIQ is equipped with features to ensure it remains electrically protected in the field \u2013 however it is always a good idea to provide external protection as well.<\/p><p>Make sure to check and validate the Modbus input register values, to ensure a reliable commissioning process.<\/p><p><span data-contrast=\"auto\">To <\/span><span data-contrast=\"auto\">best utilize<\/span><span data-contrast=\"auto\"> your soiling data, it is essential to consider the following factors:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p><ul><li data-leveltext=\"-\" data-font=\"Calibri\" data-listid=\"13\" data-list-defn-props=\"{&quot;335551671&quot;:0,&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Calibri&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"0\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Sampling frequency: <\/span><\/b><span data-contrast=\"auto\">Soiling is a slow phenomenon, so even sampling just once <\/span><span data-contrast=\"auto\">per<\/span><span data-contrast=\"auto\"> day can provide useful results. However, we recommend sampling every 15 minutes for better insight.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li><li data-leveltext=\"-\" data-font=\"Calibri\" data-listid=\"13\" data-list-defn-props=\"{&quot;335551671&quot;:0,&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Calibri&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"0\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Environmental parameters: <\/span><\/b><span data-contrast=\"auto\">Local environments dictate soiling conditions, so having data on environmental parameters \u2013 such as weather \u2013 can provide a much better understanding of soiling.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li><li data-leveltext=\"-\" data-font=\"Calibri\" data-listid=\"13\" data-list-defn-props=\"{&quot;335551671&quot;:0,&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Calibri&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"0\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Local calibration: <\/span><\/b><span data-contrast=\"auto\">DustIQ is calibrated in the lab using a standard dust sample. <\/span><span data-contrast=\"auto\">T<\/span><span data-contrast=\"auto\">he properties of dust and particulate matter can vary greatly \u2013 thus, DustIQ must also be locally calibrated at least once.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li><li data-leveltext=\"-\" data-font=\"Calibri\" data-listid=\"13\" data-list-defn-props=\"{&quot;335551671&quot;:0,&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Calibri&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"0\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Taring: <\/span><\/b><span data-contrast=\"auto\">\u201cTaring\u201d is the process of compensating for the zero offset of data. This should be carried out regularly to prevent drift over time \u2013 we recommend doing so <\/span><span data-contrast=\"auto\">each<\/span><span data-contrast=\"auto\"> time your modules are cleaned.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c6e3e81 elementor-widget elementor-widget-text-editor\" data-id=\"c6e3e81\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3>Processing Data to Maximize Findings<\/h3><p>Proper data handling is essential in order to optimize the utility of your DustIQ data. Follow these steps for easy-to-interpret data:\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5954529 elementor-widget elementor-widget-toggle\" data-id=\"5954529\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-9361\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-9361\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">1. Reject outliers.<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-9361\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-9361\"><p>This means removing any data points which are unrealistic.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-9362\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"button\" aria-controls=\"elementor-tab-content-9362\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">2. Linearly interpolate missing data.<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-9362\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"region\" aria-labelledby=\"elementor-tab-title-9362\"><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-9363\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"button\" aria-controls=\"elementor-tab-content-9363\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">3. Select solar noon values. <\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-9363\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"region\" aria-labelledby=\"elementor-tab-title-9363\"><p>Working with solar noon values minimizes the effects of \u201cdaily transients\u201d due to frost and dew and also minimizes the effects of angle-of-incidence variation throughout the day. We recommend selecting data gathered from 12-2 pm.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-9364\" class=\"elementor-tab-title\" data-tab=\"4\" role=\"button\" aria-controls=\"elementor-tab-content-9364\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">4. Average over solar noon data.<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-9364\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"region\" aria-labelledby=\"elementor-tab-title-9364\"><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-9365\" class=\"elementor-tab-title\" data-tab=\"5\" role=\"button\" aria-controls=\"elementor-tab-content-9365\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">5. Apply zero-offset compensation\/taring.<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-9365\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"5\" role=\"region\" aria-labelledby=\"elementor-tab-title-9365\"><p>If your DustIQ is not routinely tared, it is essential to compensate for zero offset during data processing. Though it is best to tare data when cleaning is carried out, it is possible to address this even if you are not cleaning your PV modules by considering \u201cenvironmental cleaning conditions.\u201d Incorporating weather data enables you to tare soiling measurement data according to specific environmental factors.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-9366\" class=\"elementor-tab-title\" data-tab=\"6\" role=\"button\" aria-controls=\"elementor-tab-content-9366\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">6. Smooth data with a moving-average filter.<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-9366\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"6\" role=\"region\" aria-labelledby=\"elementor-tab-title-9366\"><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0c3d693 elementor-widget elementor-widget-text-editor\" data-id=\"0c3d693\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Following these simple steps ensures you can convert any unclear noisy measurements into usable and simple-to-interpret soiling data, revealing trends and enabling efficient maintenance.<\/p><p>In 2022, we released a <a href=\"https:\/\/blog.otthydromet.com\/en\/soiling-sensor-dustiq-firmware-update-improves-response-and-handling\/\">new DustIQ firmware<\/a> update that simplifies local calibration and taring and improves the sensitivity of measurements.<\/p><p>To learn more about processing data from DustIQ, watch the webinar above or get in touch with our experts with any questions.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a085a77 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"a085a77\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/blog.otthydromet.com\/en\/contact\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Talk to our Experts<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>PV modules perform best when they are clean. When contamination collects on the surface of modules, sunlight is blocked from reaching the PV cell, thus reducing the amount of electricity generated. This performance loss is described by the transmission loss and the soiling ratio. The Kipp &amp; Zonen DustIQ is a unique optical instrument for [&hellip;]<\/p>\n","protected":false},"author":9,"featured_media":1022119,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[57],"tags":[647,162,156],"class_list":["post-1022114","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-solarenergy","tag-data-processing","tag-dustiq","tag-soiling"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Webinar: How to Process and Interpret Soiling Data - OTT Blog<\/title>\n<meta name=\"description\" content=\"This webinar explains soiling and discusses the measurement principle and data processing options of the soiling monitoring system DustIQ.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blog.otthydromet.com\/en\/webinar-how-to-process-and-interpret-soiling-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Webinar: How to Process and Interpret Soiling Data - 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