Object-oriented modeling and performance evaluation of a PCM-based ventilation system

Tao Yang*, Viktor Bue Ljungdahl, Muhyiddine Jradi, Konstantin Filonenko, Esther Kieseritzky, Felix Pawelz, Christian Veje

*Kontaktforfatter for dette arbejde

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Abstrakt

The buildings sector is a large energy consumer, so improving the building block energy performance through implementing energy-efficient techniques would aid in attaining the energy and environmental goals. Among energy-saving technologies, Latent Thermal Energy Storage (LTES) systems have drawn great attention to be applied in buildings as they enable more efficient and cost-effective thermal management by reducing energy use or shifting peak loads. Particularly, Phase Change Material (PCM), as a storage medium in LTES systems, has received considerable attention in recent research studies and investigations. This study aims at modelling and assessment of a PCM-driven ventilation system. An energy storage system with four PCM stacks was modelled using Modelica language considering the physical and operational parameters. Subsequently, the influence of parameters on PCM temperature was evaluated by sensitivity analysis. Using collected data from a system experiment, unknown parameters for the first stack were estimated on the first 3 days and validated on the following 2 days through minimizing Root Mean Square Error (RMSE) of predicted PCM temperature to the measured temperature using a genetic algorithm. The estimated parameters were applied to the four stacks and developed ventilation system was then validated based on the 5-day measurements from experimental setup. The overall system performance was simulated and assessed and the PCM thermal energy storage capacity was evaluated. Results showed that the object-oriented Modelica model yields a sufficient accuracy in capturing the thermal behavior of the PCM-based energy storage system. For each stack, the RMSE of predicted PCM temperature compared to measurements are 0.277 °C, 0.332 °C, 0.332 °C and 0.410 °C respectively.

OriginalsprogEngelsk
Titel33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2020)
RedaktørerRyohei Yokoyama, Yoshiharu Amano
Vol/bind1
ForlagECOS
Publikationsdato2020
Sider1584-1594
ISBN (Trykt)9781713814061
StatusUdgivet - 2020
Begivenhed33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2020 - Osaka, Japan
Varighed: 29. jun. 20203. jul. 2020

Konference

Konference33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2020
LandJapan
ByOsaka
Periode29/06/202003/07/2020
SponsorAzbil Corporation, Kansai Electric Power Co., Inc., Mitsubishi Heavy Industries Thermal Systems, Ltd., Yanmar Holdings Co., Ltd.

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