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Pyomo-based modeling and experimental validation of a bifluid Photovoltaic-Thermal (PVT) collector.

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Title: Pyomo-based modeling and experimental validation of a bifluid Photovoltaic-Thermal (PVT) collector.
Authors: Baklouti, Ismail1 (AUTHOR) ismail.baklouti@enim.u-monastir.tn, Mujeebu, Muhammad Abdul2 (AUTHOR)
Source: Applied Thermal Engineering. Jan2026:Part 1, Vol. 284, pN.PAG-N.PAG. 1p.
Subject Terms: *COST benefit analysis, *RENEWABLE energy sources, SOLAR thermal energy, DYNAMIC models, THERMAL equilibrium, SIMULATION software
Abstract: This paper presents a comprehensive, equation-oriented dynamic model of a bifluid Photovoltaic-Thermal (PVT) collector, developed and solved within the Python-based Pyomo framework. The primary novelty of this work is the establishment of a validated, realistic modeling tool that accurately captures the complex, competitive thermal dynamics inherent to dual-fluid systems. The collector, designed for enhanced cogeneration, features distinct air and water circuits to maximize thermal extraction and mitigate PV efficiency degradation. The model, formulated as a system of coupled partial differential–algebraic equations, is rigorously validated against experimental data from a full-scale prototype across different seasons. Excellent agreement is achieved, with summer Root Mean Square Errors (RMSE) of 0.93 K for PV cell temperature and 0.75 K for both air and water outlet temperatures, and comparable accuracy in winter conditions. A subsequent in-depth parametric study quantifies critical performance trade-offs. Results reveal a direct competition for thermal energy: increasing the air mass flow from 0.0074 to 0.06 kg/s nearly quadruples its thermal output but reduces the water circuit's capture by over 33%, highlighting the necessity of intelligent operational control. The study culminates in system-level techno-economic analyses for European and North African climates, demonstrating the collector's viability and providing key financial metrics like Levelized Cost of Energy (LCOE). This work establishes a validated model and underscores the power of equation-oriented platforms for analyzing and optimizing complex, multi-physics energy systems. • A dynamic bifluid PVT model is developed in the Pyomo framework. • The model is validated against summer and winter experimental data. • Parametric study quantifies the competitive thermal dynamics between fluid circuits. • Flow rates are key levers to trade thermal energy quantity vs. quality. • Techno-economic analysis shows viability in European and North African climates. [ABSTRACT FROM AUTHOR]
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Database: Business Source Index
Description
Abstract:This paper presents a comprehensive, equation-oriented dynamic model of a bifluid Photovoltaic-Thermal (PVT) collector, developed and solved within the Python-based Pyomo framework. The primary novelty of this work is the establishment of a validated, realistic modeling tool that accurately captures the complex, competitive thermal dynamics inherent to dual-fluid systems. The collector, designed for enhanced cogeneration, features distinct air and water circuits to maximize thermal extraction and mitigate PV efficiency degradation. The model, formulated as a system of coupled partial differential–algebraic equations, is rigorously validated against experimental data from a full-scale prototype across different seasons. Excellent agreement is achieved, with summer Root Mean Square Errors (RMSE) of 0.93 K for PV cell temperature and 0.75 K for both air and water outlet temperatures, and comparable accuracy in winter conditions. A subsequent in-depth parametric study quantifies critical performance trade-offs. Results reveal a direct competition for thermal energy: increasing the air mass flow from 0.0074 to 0.06 kg/s nearly quadruples its thermal output but reduces the water circuit's capture by over 33%, highlighting the necessity of intelligent operational control. The study culminates in system-level techno-economic analyses for European and North African climates, demonstrating the collector's viability and providing key financial metrics like Levelized Cost of Energy (LCOE). This work establishes a validated model and underscores the power of equation-oriented platforms for analyzing and optimizing complex, multi-physics energy systems. • A dynamic bifluid PVT model is developed in the Pyomo framework. • The model is validated against summer and winter experimental data. • Parametric study quantifies the competitive thermal dynamics between fluid circuits. • Flow rates are key levers to trade thermal energy quantity vs. quality. • Techno-economic analysis shows viability in European and North African climates. [ABSTRACT FROM AUTHOR]
ISSN:13594311
DOI:10.1016/j.applthermaleng.2025.128969