Novel Fin Geometry for a Latent High Temperature Thermal Energy Storage - Experimental Investigation

Scharinger-Urschitz, Georg; Walter, Heimo; Bauernfeind, T.

doi:10.1615/tfec2019.tes.027516

Cited by 1 publication

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“…Latent Thermal Energy Storage Model (LTES) [115] LTES uses the phase transitions of PCM (phase change materials). When heating up a solid material, at the melting point, non-linear behavior is observed.…”

Section: Storage Type Model Descriptionmentioning

confidence: 99%

Modeling Approaches for Residential Energy Consumption: A Literature Review

Nacht,

Pratter,

Ganglbauer

et al. 2023

Climate

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The interest in sustainability and energy efficiency is constantly increasing, and the noticeable effects of climate change and rising energy prices are fueling this development. The residential sector is one of the most energy-intensive sectors and plays an important role in shaping future energy consumption. In this context, modeling has been extensively employed to identify relative key drivers, and to evaluate the impact of different strategies to reduce energy consumption and emissions. This article presents a detailed literature review relative to modeling approaches and techniques in residential energy use, including case studies to assess and predict the energy consumption patterns of the sector. The purpose of this article is not only to review the research to date in this field, but to also identify the possible challenges and opportunities. Mobility, electrical devices, cooling and heating systems, and energy storage and energy production technologies will be the subject of the presented research. Furthermore, the energy upgrades of buildings, their energy classification, as well as the energy labels of the electric appliances will be discussed. Previous research provided valuable insights into the application of modeling techniques to address the complexities of residential energy consumption. This paper offers a thorough resource for researchers, stakeholders, and other parties interested in promoting sustainable energy practices. The information gathered can contribute to the development of effective strategies for reducing energy use, facilitating energy-efficient renovations, and helping to promote a greener and more sustainable future in the residential domain.

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Section: Storage Type Model Descriptionmentioning

confidence: 99%