{"id":2712,"date":"2026-01-18T12:08:16","date_gmt":"2026-01-18T12:08:16","guid":{"rendered":"https:\/\/dev-wordpress.lucisun.com\/?page_id=2712"},"modified":"2026-02-17T02:17:33","modified_gmt":"2026-02-17T02:17:33","slug":"energieertragsprognose","status":"publish","type":"page","link":"https:\/\/dev-wordpress.lucisun.com\/de\/our-services\/technical-advisory\/energieertragsprognose\/","title":{"rendered":"Energieertragsprognose"},"content":{"rendered":"
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Services\/Technical advisory<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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PV Energy Yield Assessment (EYA) at LuciSun provides a transparent and technically robust translation of the site-specific solar resource and system design into realistic electricity production estimates.<\/p>

Its objective is to support the evaluation of project economics, financial risk, and long-term viability by ensuring that modelling assumptions, loss estimates, and uncertainties are explicit, traceable, and internally consistent.<\/p>

The assessment delivers a clear and bankable production forecast, including probabilistic indicators, that provides a reliable basis for investment, financing, and decision-making.<\/p>\t\t\t\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>\n\t\t

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The PV Energy Yield assessment is based on detailed PV system modelling using site specific inputs derived from the Solar Resource Assessment and the project design documentation. Particular attention is given to the relevance and internal consistency of all modelling parameters, including system layout, component characteristics, losses, availability assumptions, and operating conditions. Input values are not treated as generic defaults but are selected and justified based on field experience, operational feedback, and technical literature.<\/p>

LuciSun adopts a tool agnostic approach to Energy Yield Assessment. Industry standard software such as PVsyst is commonly used as a reference for conventional photovoltaic projects where its modelling framework adequately captures the relevant physical phenomena. Depending on the project context, other tools may be used when they provide a more appropriate representation of system behaviour, including commercial software such as SAM, open source libraries such as pvlib, and in house developed tools such as LuSim. Tools such as LuSim are particularly relevant for complex 3D configurations, bifacial systems, agrivoltaics, building integrated photovoltaics (BIPV), or projects affected by complex shading environments.<\/p>\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\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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When appropriate, multiple tools can be combined within the same assessment. A typical approach consists in establishing a baseline simulation with PVsyst as a widely recognised market reference, complemented by targeted simulations with other tools to refine specific energy gains or losses that are not fully captured by simplified models. This preserves comparability with market standards while improving physical accuracy where it has a material impact on the results.<\/p>

LuciSun has developed complementary methods and tools that facilitate interoperability between different modelling environments. This includes workflows that allow the conversion and transfer of layouts and geometries from tools such as AutoCAD, SketchUp or PVcase into PVsyst and other simulation platforms. These conversion and interfacing services can be integrated into a full Energy Yield Assessment or provided on a stand alone basis, depending on project needs.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t

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Key elements of the PV Energy Yield Assessment typically include: <\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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  • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tDefinition of the PV system configuration and modelling assumptions<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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    • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t Conversion of the solar resource into plane of array irradiance <\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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      • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t Quantification of energy losses across the full conversion chain <\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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        • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t Estimation of first year energy production and reference yield (P50) <\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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          • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t Characterisation and aggregation of uncertainties affecting the yield estimate <\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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            Beyond nominal production values, EYA explicitly addresses project risk through the calculation of exceedance probabilities. Uncertainties related to the solar resource, modelling assumptions, and system performance are quantified and combined using a dedicated internal methodology to derive probabilistic production levels such as P90. These exceedance levels provide conservative and risk adjusted energy estimates that are central to financial structuring and investment decisions.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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            When long-term projections are required, the Energy Yield Assessment is extended to cover the expected lifetime of the asset. This includes the integration of technology specific degradation assumptions, inter-annual variability, and other time dependent effects, providing a coherent view of energy production evolution over periods typically ranging from 10 to 30 years.<\/p>

            The outcome of the PV Energy Yield Assessment is a transparent and bankable production forecast, accompanied by a clear breakdown of assumptions, losses, and uncertainties. This forecast serves as a reference for financial modelling and decision making, while remaining distinct from operational performance analysis carried out on measured data.<\/p>\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\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

            Services\/Technical advisory PV Energy Yield Assessment (EYA) at LuciSun provides a transparent and technically robust translation of the site-specific solar resource and system design into realistic electricity production estimates. Its objective is to support the evaluation of project economics, financial risk, and long-term viability by ensuring that modelling assumptions, loss estimates, and uncertainties are explicit, […]<\/p>","protected":false},"author":2,"featured_media":0,"parent":901,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_acf_changed":false,"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"class_list":["post-2712","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nEnergy Yield Assessment - 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:\/\/dev-wordpress.lucisun.com\/de\/our-services\/technical-advisory\/energieertragsprognose\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Energy Yield Assessment - Lucisun\" \/>\n<meta property=\"og:description\" content=\"Services\/Technical advisory PV Energy Yield Assessment (EYA) at LuciSun provides a transparent and technically robust translation of the site-specific solar resource and system design into realistic electricity production estimates. 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