{"id":2704,"date":"2026-01-18T01:58:20","date_gmt":"2026-01-18T01:58:20","guid":{"rendered":"https:\/\/lucisun.com\/?post_type=research-project&#038;p=2704"},"modified":"2026-02-19T00:47:44","modified_gmt":"2026-02-19T00:47:44","slug":"experimental-validation-and-modelling-of-bifacial-pv-system-performance","status":"publish","type":"research-project","link":"https:\/\/lucisun.com\/es\/proyecto-de-investigacion\/experimental-validation-and-modelling-of-bifacial-pv-system-performance\/","title":{"rendered":"Validaci\u00f3n experimental y modelizaci\u00f3n del rendimiento de los sistemas fotovoltaicos bifaciales\u00a0"},"content":{"rendered":"<p class=\"wp-block-paragraph\">DEMO-Bi-FV is a national research project funded under the Spanish <strong>Plan Nacional Estrat\u00e9gico<\/strong>, dedicated to the experimental validation and modelling of bifacial photovoltaic systems. The project addresses one of the key challenges in bifacial PV engineering, namely the accurate characterisation of rear-side irradiance and its impact on system performance under real operating conditions.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The project is based on a long-term experimental setup combining detailed measurements of front and rear irradiance, electrical performance, module temperature and environmental conditions. This monitoring infrastructure provides a robust dataset to analyse how system geometry, ground properties and operating conditions influence bifacial energy gains over time.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Within DEMO-Bi-FV, LuciSun contributes its expertise in 3D PV simulation and performance analysis to support the interpretation of experimental results. The project provides a valuable opportunity to confront advanced modelling approaches with high-quality field measurements, and to better understand the limits of simplified assumptions commonly used in bifacial PV simulations, such as uniform rear-side irradiance or constant albedo values.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">DEMO-Bi-FV also offers a structured framework to explore data-driven approaches for the analysis and optimisation of bifacial PV systems, including the use of machine learning techniques to investigate the influence of design parameters such as module height, row spacing and ground treatment. These approaches complement physics-based models and help capture complex interactions observed in measured data.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Overall, DEMO-Bi-FV strengthens LuciSun\u2019s understanding of bifacial PV behaviour under real-world conditions and contributes to the validation and refinement of its modelling tools. The project provides valuable experimental insights that directly support LuciSun\u2019s consulting activities, software development and training programmes related to bifacial PV system design and performance assessment.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>","protected":false},"featured_media":4422,"template":"","class_list":["post-2704","research-project","type-research-project","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Experimental validation and modelling of bifacial PV system performance\u00a0 - Lucisun<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lucisun.com\/es\/proyecto-de-investigacion\/experimental-validation-and-modelling-of-bifacial-pv-system-performance\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Experimental validation and modelling of bifacial PV system performance\u00a0 - Lucisun\" \/>\n<meta property=\"og:description\" content=\"DEMO-Bi-FV is a national research project funded under the Spanish Plan Nacional Estrat\u00e9gico, dedicated to the experimental validation and modelling of bifacial photovoltaic systems. 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