EAHE-D: A dataset for modeling and performance evaluation of earth to air heat exchangers.

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2024-11-05 eCollection Date: 2024-12-01 DOI:10.1016/j.dib.2024.111110

Youssef Alidrissi, Marouane Wakil, Mehdi Najib, Samir Idrissi Kaitouni, Mohamed Oualid Mghazli, Mohamed Bakhouya

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引用次数: 0

Abstract

Integrating natural ventilation with Earth-to-Air Heat Exchangers (EAHE) is an innovative approach that effectively combines the benefits of both systems to enhance indoor environments while reducing energy consumption and operational costs. Many studies focus on reducing reliance on conventional heating, ventilation, and air conditioning systems by optimizing the use of EAHE and natural ventilation in buildings to improve occupant comfort. However, these studies require actual datasets for systems' design and optimization. This work aims to provide such a dataset using a deployed EAHE with in-situ measurements. The dataset is available in its original form, allowing users to perform data preprocessing according to their specific needs. Additionally, we offer a processed version of the dataset, which can be used to further investigate the effectiveness of EAHE deployment in buildings and its integration with other passive and active systems, aiming to enhance energy efficiency while maintaining occupant comfort.

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土-空气热交换器建模与性能评价数据集。

将自然通风与地对空热交换器（EAHE）相结合是一种创新的方法，它有效地结合了两种系统的优点，以改善室内环境，同时降低能源消耗和运营成本。许多研究的重点是通过优化建筑物中EAHE和自然通风的使用来减少对传统采暖、通风和空调系统的依赖，以提高居住者的舒适度。然而，这些研究需要实际的数据集来进行系统的设计和优化。这项工作旨在使用部署的EAHE提供这样的数据集，并进行原位测量。数据集以原始形式提供，允许用户根据自己的具体需要进行数据预处理。此外，我们还提供了数据集的处理版本，可用于进一步研究EAHE在建筑物中部署的有效性及其与其他被动和主动系统的集成，旨在提高能源效率，同时保持居住者的舒适度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.