The optimization analysis investigate parameters such as ventilation flow rates and time schedule to obtain the best combination suiting the PCM performance and external-internal loads. An exploratory step has also been considered prior to the optimization algorithm: it evaluates the energy profiles before and after the application of PCM to PV module integrated in glazed building.
#Trnsys modele 576 software#
The coupling between the PV-PCM façade code implemented in MATLAB and the TRNSYS software was developed to estimate the dynamic thermal energy profiles. 1-D model, finite difference method FDM, thermal resistances technique and enthalpy method were applied to describe different façade solutions and transient thermal performance of PCM. Savings in thermal loads for the best individual reached 26.4% while the best in temperature increment in operating temperatures was recorded as 6.8% comparing to the design set temperature.ĪB - The study describes a multi-objective optimization algorithm for an innovative integration of forced ventilated PV-PCM modules in glazed façade buildings: the aim is to identify and optimize the parameters that most affect thermal and energy performances.
A group of solution were identified on the Pareto front. N2 - The study describes a multi-objective optimization algorithm for an innovative integration of forced ventilated PV-PCM modules in glazed façade buildings: the aim is to identify and optimize the parameters that most affect thermal and energy performances. Co-simulation and genetic optimization study T1 - PV-PCM integration in glazed building. Savings in thermal loads for the best individual reached 26.4% while the best in temperature increment in operating temperatures was recorded as 6.8% comparing to the design set temperature.", Savings in thermal loads for the best individual reached 26.4% while the best in temperature increment in operating temperatures was recorded as 6.8% comparing to the design set temperature.Ībstract = "The study describes a multi-objective optimization algorithm for an innovative integration of forced ventilated PV-PCM modules in glazed faade code implemented in MATLAB and the TRNSYS software was developed to estimate the dynamic thermal energy profiles.
The study describes a multi-objective optimization algorithm for an innovative integration of forced ventilated PV-PCM modules in glazed façade buildings: the aim is to identify and optimize the parameters that most affect thermal and energy performances.
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