128084 20241125101152.0 doi 10.1016/j.est.2023.108428 sideral 135270 ART-2023-135270 eng König-Haagen, Andreas Analysis of the discharging process of latent heat thermal energy storage units by means of normalized power parameters 2023 Access copy available to the general public Unrestricted Many efforts are being made to mitigate the main disadvantage of most phase change materials – their low thermal conductivities – in order to deliver latent heat energy storage systems (LHESS) with adequate performance. However, the effect of applied methods is difficult to compare as they are mostly tested for different storage types and sizes and/or different boundary and initial conditions, which hinders rapid progress in the optimization of these approaches. In this work, a previously developed method for comparing the performance of LHESS is applied to experimental results of different storage systems under different conditions and subsequently analyzed and further refined. The main idea of the method is to normalize the power with the volume and a reference temperature difference and compare its mean value plotted over the normalized mean capacity flow of the heat transfer fluid (HTF). This enables the presentation of the results in a compact and easily comparative way. Attention has to be paid when it comes to the choice of the reference temperature difference, the reference volume and the method for calculating the mean value. Two variants of calculating the mean value (time-weighted and energy-weighted) and two variants of reference temperatures for determining the temperature difference to the inlet temperature of the HTF (initial temperature and melting temperature) are applied and discussed in detail. While the method significantly increases the comparability of results, none of the options listed above are without drawbacks. Approaches are shown to reduce or eliminate these drawbacks in the future. The recommendation for comparing different LHESS under different conditions is to use the method described here and clearly state the chosen reference temperature, reference volume and method for calculating the mean value. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 8.9 2023 ENERGY & FUELS 29 / 171 = 0.17 2023 Q1 T1 1.595 2023 Electrical and Electronic Engineering 2023 Q1 Renewable Energy, Sustainability and the Environment 2023 Q1 Energy Engineering and Power Technology 2023 Q1 11.8 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Höhlein, Stephan Lázaro, Ana Universidad de Zaragoza (orcid)0000-0001-7360-4188 Delgado, Mónica (orcid)0000-0002-8015-4469 Diarce, Gonzalo Groulx, Dominic Herbinger, Florent Patil, Ajinkya Englmair, Gerald Wang, Gang Abdi, Amir Chiu, Justin N.W. Xu, Tianhao Rathgeber, Christoph Pöllinger, Simon Gschwander, Stefan Gamisch, Sebastian 5004 590 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Máquinas y Motores Térmi. 72, Part C (2023), 108428 [19 pp.] J. energy storage Journal of Energy Storage 2352-152X 12421423 http://zaguan.unizar.es/record/128084/files/texto_completo.pdf Versión publicada 2491576 http://zaguan.unizar.es/record/128084/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:128084 articulos driver 2024-11-22-12:07:32 ARTICLE