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ENLuciSun’s scientific contributions provide the technical and methodological foundation of its photovoltaic engineering services and technical advisory activities. They support energy yield assessment, photovoltaic system design, technical due diligence, and long term performance analysis across a wide range of PV applications.
Research activities at LuciSun are conducted in the context of national, European and international R&D projects, including doctoral research and PhD theses carried out in collaboration with academic partners. These frameworks allow modelling approaches, datasets and analysis methods to be developed and evaluated under realistic engineering conditions, closely connected to practical decision making throughout the PV project lifecycle.
The most mature and transferable outcomes of this work are formalised through peer reviewed scientific publications and contributions to international conferences and specialised workshops. This ensures that methods used in LuciSun’s tools and services are scientifically grounded, transparent in their assumptions, and exposed to external scientific scrutiny.
The scientific output associated with these activities is publicly accessible through standard academic platforms. Full publication records of researchers actively contributing to LuciSun’s R&D are available via selected Google Scholar and ResearchGate profiles, providing transparent access to peer reviewed journal articles, technical reports, conference contributions and PhD theses that document the scientific basis of LuciSun’s work.
Jonathan Leloux
Babacar Sarr
Jesús Robledo
Ibrahim El Boujdaini
LuciSun’s tools, services and technical advisory activities are developed in close connection with research activities carried out through national, European and international R&D projects, including doctoral research and PhD theses conducted in collaboration with academic partners.
These research projects provide structured frameworks in which photovoltaic modelling approaches, datasets and methodologies are developed, tested and critically challenged under realistic engineering conditions. The most mature and transferable results are regularly formalised and disseminated through peer reviewed scientific journals, as well as through contributions to international conferences and specialised workshops.
This process ensures that methods developed in applied contexts are subjected to external scientific review and can evolve beyond individual projects or use cases.
The research topics addressed at LuciSun are directly linked to the scientific foundations of its software tools, engineering services and technical advisory work.
They span advanced photovoltaic system modelling and analysis, including GPU-based 3D simulation for complex shading environments, bifacial PV systems, building integrated photovoltaics and agrivoltaic configurations, as well as solar resource assessment and measurement quality, quality checks for solar irradiance, meteorological and PV monitoring data, photovoltaic performance data analytics, fault detection and diagnosis, uncertainty analysis and propagation, and long-term PV system performance evaluation. Across these domains, research activities combine numerical modelling, experimental measurements, demonstrator data and operational performance data to ensure methodological consistency and robust interpretation of results.
Across these domains, particular attention is given to the relationship between geometric and model complexity, data quality, modelling assumptions and decision value. This focus supports the development of photovoltaic simulation and analysis methods that are both scientifically robust and operationally relevant, and ensures that their limits of applicability are clearly understood when supporting engineering decisions, investment analysis and technical risk assessment.
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